8489 citations as recorded by crossref.

1. Acceleration of daily land temperature extremes and correlations with surface energy fluxes C. Huntingford et al. https://doi.org/10.1038/s41612-024-00626-0
2. A review of future weather data for assessing climate change impacts on buildings and energy systems Z. Zeng et al. https://doi.org/10.1016/j.rser.2024.115213
3. Assessing extreme significant wave height in China’s coastal waters under climate change X. Zhu & W. Huang https://doi.org/10.3389/fmars.2024.1494127
4. Earth system models for regional environmental management of red tide: Prospects and limitations of current generation models and next generation development A. Elshall et al. https://doi.org/10.1007/s12665-022-10343-7
5. Multifaceted changes in water availability with a warmer climate B. Gu et al. https://doi.org/10.1038/s41612-025-00913-4
6. Evidence of anthropogenic impacts on global drought frequency, duration, and intensity F. Chiang et al. https://doi.org/10.1038/s41467-021-22314-w
7. Dynamics for El Niño-La Niña asymmetry constrain equatorial-Pacific warming pattern M. Hayashi et al. https://doi.org/10.1038/s41467-020-17983-y
8. Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble J. Zhang et al. https://doi.org/10.1038/s41612-023-00410-6
9. Stratospheric aerosol injection geoengineering has the potential to increase land carbon storage and to protect the Amazon rainforest I. Parry et al. https://doi.org/10.5194/esd-17-387-2026
10. Projection of Future Climatic Variables based on CMIP5 and CMIP6 Models in the Gedarchay Catchment (West Azarbaijan) S. Azimi-Habashi et al. https://doi.org/10.61186/jwmr.15.2.1
11. Pantropical Indo-Atlantic temperature gradient modulates multi-decadal AMOC variability in models and observations B. Ferster et al. https://doi.org/10.1038/s41612-023-00489-x
12. Research on the layout of atmospheric science funding system J. Sun et al. https://doi.org/10.1360/CSB-2025-5152
13. Projected future changes in rainfall in Southeast Asia based on CORDEX–SEA multi-model simulations F. Tangang et al. https://doi.org/10.1007/s00382-020-05322-2
14. Analysis of historical water availability and projected surface water trends for decision-making: the case of Mexico F. Casadiego-Arévalo et al. https://doi.org/10.3389/fenvs.2026.1872474
15. Concurrent drought and heatwave events over the Asian monsoon region: insights from a statistically downscaling CMIP6 dataset L. Xu et al. https://doi.org/10.1088/1748-9326/ad2cad
16. General circulation models for rainfall simulations: Performance assessment using complex networks B. Deepthi & B. Sivakumar https://doi.org/10.1016/j.atmosres.2022.106333
17. Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan S. Alsalal et al. https://doi.org/10.1007/s00704-024-05087-2
18. Performance of CMIP6 models in simulating the dynamic sea level: Mean and interannual variance H. Chen et al. https://doi.org/10.1016/j.aosl.2022.100288
19. Downscaling and Evaluation of Seasonal Climate Data for the European Power Sector J. Ostermöller et al. https://doi.org/10.3390/atmos12030304
20. Analysis of the global atmospheric background sulfur budget in a multi-model framework C. Brodowsky et al. https://doi.org/10.5194/acp-24-5513-2024
21. Representation of Southern Ocean Properties across Coupled Model Intercomparison Project Generations: CMIP3 to CMIP6 R. Beadling et al. https://doi.org/10.1175/JCLI-D-19-0970.1
22. Warmer future climate in Canada—implications for winter survival of perennial forage crops B. Qian et al. https://doi.org/10.1139/cjps-2023-0192
23. Assessment of the impacts of climate change on the construction of homogeneous climatic regions and ensemble climate projections using CMIP6 data over Pakistan M. Abbas et al. https://doi.org/10.1016/j.atmosres.2024.107359
24. Modeling the Wintering Habitat Distribution of the Black Stork in Shaanxi, China: A Hierarchical Integration of Climate and Land Use/Land Cover Data Y. Tuohetahong et al. https://doi.org/10.3390/ani13172726
25. Projected widening of sociodemographic heat disparities in the United States by end of century K. Song et al. https://doi.org/10.1016/j.oneear.2025.101528
26. Worldwide comparison between the potential distribution of Rhipicephalus microplus (Acari: Ixodidae) under climate change scenarios M. Perez‐Martinez et al. https://doi.org/10.1111/mve.12680
27. Regionalized Mediterranean relative sea level projections under high-emission regional climate scenarios I. Parras-Berrocal et al. https://doi.org/10.1088/1748-9326/ae15a5
28. Radiative trigger thresholds of foliar photoprotective pigment regulation for global vegetation W. Wu et al. https://doi.org/10.1016/j.xinn.2024.100649
29. Future precipitation changes in three key sub-regions of East Asia: the roles of thermodynamics and dynamics J. Li et al. https://doi.org/10.1007/s00382-021-06043-w
30. Estimations of Long-Term nss-SO42– and NO3– Wet Depositions over East Asia by Use of Ensemble Machine-Learning Method X. Lu et al. https://doi.org/10.1021/acs.est.0c01068
31. Improving discrimination between clouds and optically thick aerosol plumes in geostationary satellite data D. Robbins et al. https://doi.org/10.5194/amt-15-3031-2022
32. Amplification of ENSO-driven vegetation variability at decadal and longer timescales N. Fahrenbach & R. Wills https://doi.org/10.5194/esd-17-987-2026
33. How Does the North Atlantic SST Pattern Respond to Anthropogenic Aerosols in the 1970s and 2000s? S. Fiedler & D. Putrasahan https://doi.org/10.1029/2020GL092142
34. Brazil nut journey under future climate change in Amazon L. Anjos et al. https://doi.org/10.1371/journal.pone.0312308
35. Modelling and predicting the suitable habitats and potential distribution of South China sika deer (Cervus nippon kopschi) W. Li et al. https://doi.org/10.1016/j.gecco.2025.e04014
36. Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment D. Bi et al. https://doi.org/10.1029/2021GL096887
37. Snow redistribution onto young sea ice: Observations and implications for climate models D. Clemens-Sewall et al. https://doi.org/10.1525/elementa.2021.00115
38. Climate Change, Summer Temperature, and Heat-Related Mortality in Finland: Multicohort Study with Projections for a Sustainable vs. Fossil-Fueled Future to 2050 M. Kivimäki et al. https://doi.org/10.1289/EHP12080
39. Reviving autoencoder pretraining Y. Xie & N. Thuerey https://doi.org/10.1007/s00521-022-07892-0
40. Performance of CMIP6 in rainfall simulation over Didessa, Southwest Ethiopia C. Sime & T. Demissie https://doi.org/10.1007/s12517-025-12238-w
41. Weakened Submesoscale Eddies in the Equatorial Pacific Under Greenhouse Warming S. Wang et al. https://doi.org/10.1029/2022GL100533
42. Southern Annular Mode dynamics, projections and impacts in a changing climate A. Purich et al. https://doi.org/10.1038/s43017-025-00746-y
43. A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. https://doi.org/10.5194/gmd-18-1785-2025
44. Termite sensitivity to temperature affects global wood decay rates A. Zanne et al. https://doi.org/10.1126/science.abo3856
45. Climate change impacts on global potato yields: a review T. Adekanmbi et al. https://doi.org/10.1088/2752-5295/ad0e13
46. Resilience of Amazon rainfall to CO2 removal forcing S. Zhang et al. https://doi.org/10.1088/1748-9326/ad193d
47. Assessment of CMIP6 GCMs’ Simulation of Southwest Monsoon Rainfall over Indian Monsoon Core Region T. Kesavavarthini et al. https://doi.org/10.1007/s00704-024-04974-y
48. Pathway-dependent responses of temperature extremes under solar radiation modification over Northern Africa K. Lim Kam Sian et al. https://doi.org/10.3389/feart.2026.1884589
49. Synchronized spatial shifts of Hadley and Walker circulations K. Yun et al. https://doi.org/10.5194/esd-12-121-2021
50. Evaluation and projection of global marine heatwaves based on CMIP6 models Z. Qiu et al. https://doi.org/10.1016/j.dsr2.2021.104998
51. Impact of climate change on persistent cold-air pools in an alpine valley during the 21st century S. Bacer et al. https://doi.org/10.5194/wcd-5-211-2024
52. Arctic amplification–induced decline in West and South Asia dust warrants stronger antidesertification toward carbon neutrality F. Wang et al. https://doi.org/10.1073/pnas.2317444121
53. Increased occurrence of high impact compound events under climate change N. Ridder et al. https://doi.org/10.1038/s41612-021-00224-4
54. Quantifying the uncertainty of internal variability in future projections of seasonal soil moisture droughts over China S. Chen & X. Yuan https://doi.org/10.1016/j.scitotenv.2022.153817
55. A systematic review of climate downscaling and extremes in Coupled Model Intercomparison Project 6 (CMIP6) E. Devadarshini et al. https://doi.org/10.1016/j.envdev.2025.101280
56. Reduction of the uncertainty of flood projection under a future climate by focusing on similarities among multiple SSP-RCP scenarios Y. Kimura et al. https://doi.org/10.1038/s41598-025-16327-4
57. Population-specific climate sensitive top height curves and their applications to assisted migration D. Luo et al. https://doi.org/10.1007/s10342-024-01694-w
58. Global Carbon Budget 2023 P. Friedlingstein et al. https://doi.org/10.5194/essd-15-5301-2023
59. Variation of Projected Atmospheric Water Vapor in Central Asia Using Multi-Models from CMIP6 Z. Li et al. https://doi.org/10.3390/atmos11090909
60. Predicting the Hydrological Impacts of Future Climate Change in a Humid-Subtropical Watershed H. Rashid et al. https://doi.org/10.3390/atmos13010012
61. Impact of Spatial Inhomogeneity in Atmospheric CO2 Concentration on Surface Air Temperature Variations C. Xie et al. https://doi.org/10.1007/s13351-024-4025-x
62. Late Holocene fast-ice dynamics around the Northern Victoria Land coast, Antarctica T. Tesi et al. https://doi.org/10.1038/s41467-025-67781-7
63. Atmosphere‐Ocean Feedback From Wind‐Driven Sea Spray Aerosol Production L. Revell et al. https://doi.org/10.1029/2020GL091900
64. Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction H. Peng et al. https://doi.org/10.1145/3735646
65. Effective climate sensitivity distributions from a 1D model of global ocean and land temperature trends, 1970–2021 R. Spencer & J. Christy https://doi.org/10.1007/s00704-023-04634-7
66. Modeling Urban Heat Islands and Thermal Comfort During a Heat Wave Event in East China With CLM5 Incorporating Local Climate Zones C. Li et al. https://doi.org/10.1029/2023JD038883
67. Role of Maritime Continent Land Convection on the Mean State and MJO Propagation M. Ahn et al. https://doi.org/10.1175/JCLI-D-19-0342.1
68. Contrasting changes in hydrological processes of the Volta River basin under global warming M. Dembélé et al. https://doi.org/10.5194/hess-26-1481-2022
69. Future agroclimatic suitability for oliviculture in Portugal based on a new high-resolution climate dataset T. Freitas et al. https://doi.org/10.1007/s11027-025-10247-4
70. Adaptability analysis of snow in the Zhangjiakou competition zone of the Beijing Olympic Winter Games for the next 30 years D. Shao et al. https://doi.org/10.1016/j.ejrh.2023.101358
71. Climate-driven invasion risk and ecological niche overlap between non-native round goby and native European fishes D. Błońska et al. https://doi.org/10.3897/neobiota.103.163409
72. CMIP6-Driven Projections of Drought Severity and Their Implications for the Agricultural Sector in Pakistan F. Shah et al. https://doi.org/10.1007/s41748-026-01165-9
73. Scenario-driven optimization of land-use/land-cover conversion pathways to improve ecosystem service performance in the Yellow River Basin L. Li et al. https://doi.org/10.3389/fenvs.2026.1918318
74. CMIP6 models simulation of the connection between North/South Pacific Meridional Mode and ENSO Y. Lu et al. https://doi.org/10.1007/s00343-023-3024-6
75. Trends, intensification, attribution and uncertainty of projected heatwaves in India B. Chowdhury https://doi.org/10.1002/joc.7665
76. Weakening sensitivity of China’s terrestrial evapotranspiration to vegetation greening in a warmer world H. Guo et al. https://doi.org/10.1016/j.agrformet.2026.111183
77. Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. https://doi.org/10.1007/s13351-023-2195-6
78. Continental United States climate projections based on thermodynamic modification of historical weather A. Jones et al. https://doi.org/10.1038/s41597-023-02485-5
79. Storyline attribution of human influence on a record-breaking spatially compounding flood-heat event J. Wang et al. https://doi.org/10.1126/sciadv.adi2714
80. Quantifying the rarity of extreme multi-decadal trends: how unusual was the late twentieth century trend in the North Atlantic Oscillation? R. Eade et al. https://doi.org/10.1007/s00382-021-05978-4
81. Baroclinic Energy Conversion Drives the Poleward Stronger Storm Tracks in a Warming Climate H. Yu et al. https://doi.org/10.34133/olar.0162
82. Future change of summer hypoxia in coastal California Current H. Shi et al. https://doi.org/10.3389/fmars.2023.1205536
83. Climate change and El Niño behind extreme precipitation leading to major floods in southern Brazil in 2024 B. Clarke et al. https://doi.org/10.1038/s44304-025-00162-8
84. Contrasting shifts in potential climatic suitability of two Thelazia callipaeda vectors (Phortica okadai and Phortica variegata) across China and Europe under climate change Y. Luo et al. https://doi.org/10.1186/s13071-026-07417-x
85. Impact of historical pattern of human activities and natural environment on wetland in Heilongjiang River Basin C. Song et al. https://doi.org/10.1007/s11783-023-1751-8
86. Mangrove forests as a nature-based solution for coastal flood protection: Biophysical and ecological considerations R. van Hespen et al. https://doi.org/10.1016/j.wse.2022.10.004
87. Divergent future trends in global land greening and carbon sequestration under climate change scenarios C. Bian & J. Xia https://doi.org/10.1088/1748-9326/ad8508
88. Role of cloud feedback in continental warming response to CO2 physiological forcing S. Park et al. https://doi.org/10.1175/JCLI-D-21-0025.1
89. Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations W. Gregory et al. https://doi.org/10.5194/tc-16-1653-2022
90. Exploring the opposite shift trends between extremely high and low planetary boundary layer height in China M. Yue et al. https://doi.org/10.1016/j.atmosres.2025.108425
91. The Radiative Forcing Model Intercomparison Project (RFMIP2.0) for CMIP7 R. Kramer et al. https://doi.org/10.5194/gmd-19-4447-2026
92. The Role of Irrigation Expansion on Historical Climate Change: Insights From CMIP6 A. Al‐Yaari et al. https://doi.org/10.1029/2022EF002859
93. Biases in sea surface temperature and the annual cycle of Greater Horn of Africa rainfall in CMIP6 B. Lyon https://doi.org/10.1002/joc.7456
94. Reviewing accuracy & reproducibility of large-scale wind resource assessments T. Pelser et al. https://doi.org/10.1016/j.adapen.2023.100158
95. Detecting tropospheric composition and climate responses to US air pollution controls in the context of internally-arising variability S. Elkins et al. https://doi.org/10.1038/s44407-025-00016-7
96. Impacts of anthropogenic land use and land cover change on climate extremes based on CMIP6-LUMIP experiments: part II. Future period M. Zhang et al. https://doi.org/10.1007/s00382-023-07090-1
97. Multimodel Ensemble Projections of Wave Climate in the Western North Pacific Using CMIP6 Marine Surface Winds M. Badriana & H. Lee https://doi.org/10.3390/jmse9080835
98. Consistent Trends in Dry Spell Length in Recent Observations and Future Projections C. Wainwright et al. https://doi.org/10.1029/2021GL097231
99. Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework Z. Xiao et al. https://doi.org/10.1016/j.rse.2024.114285
100. The Nonhydrostatic ICosahedral Atmospheric Model for CMIP6 HighResMIP simulations (NICAM16-S): experimental design, model description, and impacts of model updates C. Kodama et al. https://doi.org/10.5194/gmd-14-795-2021
101. Signals in temperature extremes emerge in China during the last millennium based on CMIP5 simulations Y. Sui & Y. Chen https://doi.org/10.1007/s10584-022-03377-0
102. Predicting the Potential Distribution of Quercus oxyphylla in China under Climate Change Scenarios S. Chen et al. https://doi.org/10.3390/f15061033
103. Structural stability changes of the Atlantic Meridional Overturning Circulation M. Dima et al. https://doi.org/10.1038/s41612-025-00960-x
104. Future climate change promotes the global threat of the emerald ash borer (Agrilus planipennis Fairmaire) to ash species E. Li et al. https://doi.org/10.1093/jpe/rtaf091
105. Observed flash drought to persist in future over southern Africa B. Ayugi et al. https://doi.org/10.1016/j.scitotenv.2024.175744
106. STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting S. Wang et al. https://doi.org/10.1109/JSTARS.2025.3532219
107. The German Climate Forecast System: GCFS K. Fröhlich et al. https://doi.org/10.1029/2020MS002101
108. How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. https://doi.org/10.5194/acp-24-2077-2024
109. Future Changes and Controlling Factors of the Eight Regional Monsoons Projected by CMIP6 Models C. Jin et al. https://doi.org/10.1175/JCLI-D-20-0236.1
110. A global CORDEX-based dataset delineating urban areas and their surroundings to assess climate change in megacities J. Diez-Sierra et al. https://doi.org/10.1038/s41597-025-06257-1
111. Multi-decadal geodetic mass balance, climate sensitivity, and projected glacier response in the Chandra–Bhaga Basin, Western Indian Himalaya (1971–2100) A. Bhattacharya et al. https://doi.org/10.1016/j.scitotenv.2025.181261
112. The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. https://doi.org/10.5194/acp-21-18609-2021
113. Opinion: The role of AerChemMIP in advancing climate and air quality research P. Griffiths et al. https://doi.org/10.5194/acp-25-8289-2025
114. The anthropogenic acceleration and intensification of flash drought over the southeastern coastal region of China will continue into the future Y. Wang & X. Yuan https://doi.org/10.1016/j.aosl.2022.100262
115. Multi-century cooling after net-zero greenhouse gas emissions N. Tarshish et al. https://doi.org/10.1038/s41558-026-02700-2
116. Forestation in CMIP6: wide model spread in tree cover and land carbon uptake S. Egerer et al. https://doi.org/10.1088/1748-9326/adc93e
117. An Evolutionary Process-Embedded Spatiotemporal Interpolation Method for Marine Environmental Fields Z. Ma et al. https://doi.org/10.3390/rs18111809
118. Predicting Land Use Changes under Shared Socioeconomic Pathway–Representative Concentration Pathway Scenarios to Support Sustainable Planning in High-Density Urban Areas: A Case Study of Hangzhou, Southeastern China S. Yao et al. https://doi.org/10.3390/buildings14072165
119. PROJECTION OF CLIMATE CHANGE AND THE INTENSITY OF EXOGENOUS PROCESSES ON THE TERRITORY OF THE YAMALO-NENETS AUTONOMOUS DISTRICT M. Vikulina et al. https://doi.org/10.31857/S2686739723600388
120. CO2-plant effects do not account for the gap between dryness indices and projected dryness impacts in CMIP6 or CMIP5 J. Scheff  et al. https://doi.org/10.1088/1748-9326/abd8fd
121. pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. https://doi.org/10.12688/openreseurope.13633.1
122. Multi-scale attribution of external forcing and internal variability to summer extreme precipitation in Tibetan Plateau G. Fu et al. https://doi.org/10.1016/j.atmosres.2026.109274
123. Southern Ocean warming and its climatic impacts W. Cai et al. https://doi.org/10.1016/j.scib.2023.03.049
124. Predicting the potential distribution of suitable habitats for Syncerus caffer under varying climate dynamics in the Laikipia-Samburu ecosystem in Kenya M. Mwaniki et al. https://doi.org/10.1007/s00704-025-05994-y
125. Impact of climate and population changes on the increasing exposure to summertime compound hot extremes F. Ma & X. Yuan https://doi.org/10.1016/j.scitotenv.2021.145004
126. Assessment of the Impact of Climate Change on the Potential Distributions of Melliferous Plant Species on the Yucatan Peninsula, Mexico: Implications for Conservation Planning J. Aragón-Gastélum et al. https://doi.org/10.3390/conservation5030044
127. Projected changes in the interannual variability of surface air temperature using CMIP6 simulations J. Shi et al. https://doi.org/10.1007/s00382-023-06923-3
128. Evolutionary conservation hotspots: key areas for threatened Neotropical glassfrogs under climate change scenarios M. Vega-Yánez et al. https://doi.org/10.7717/peerj.21165
129. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall https://doi.org/10.5194/gmd-14-5863-2021
130. Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China) Q. He et al. https://doi.org/10.1007/s00704-022-04140-2
131. Assessment and projection of carbon density in China: An integrated approach combining Boruta-SHAP-machine learning and structural equation modeling Y. Wen et al. https://doi.org/10.1016/j.rsase.2025.101694
132. Projections of river floods in Europe using EURO‐CORDEX, CMIP5 and CMIP6 simulations F. Di Sante et al. https://doi.org/10.1002/joc.7014
133. Assessing the impact of the Human Development Index on historical trends in the INFERNO fire model J. Teixeira et al. https://doi.org/10.5194/esd-17-739-2026
134. Local Analysis of Drought and Climate Change Projection in Future Periods under the CMIP6 Model (Case Study: Mazandaran Province) K. Aghajanloo & H. Fathi Almalou https://doi.org/10.61186/jwmr.15.2.32
135. Revised records of atmospheric trace gases CO2, CH4, N2O, and δ13C-CO2 over the last 2000 years from Law Dome, Antarctica M. Rubino et al. https://doi.org/10.5194/essd-11-473-2019
136. Climate Model Uncertainty and Trend Detection in Regional Sea Level Projections: A Review M. Carson et al. https://doi.org/10.1007/s10712-019-09559-3
137. Estimating Remaining Carbon Budgets Using Temperature Responses Informed by CMIP6 M. Rypdal et al. https://doi.org/10.3389/fclim.2021.686058
138. CMIP6 MultiModel Evaluation of Present‐Day Heatwave Attributes A. Hirsch et al. https://doi.org/10.1029/2021GL095161
139. Synergistic effects of El Niño–Southern Oscillation and the Indian Ocean Dipole on Middle Eastern subseasonal precipitation variability and predictability A. Hochman & H. Gildor https://doi.org/10.1002/qj.4903
140. Stochastic treatment regimes in climate-health research: Reassessing malaria risk under warming scenarios in Colombia J. Gutiérrez & M. Nguyen https://doi.org/10.1371/journal.pgph.0005252
141. Variations in Summer Extreme High-Temperature Events over Northern Asia and the Possible Mechanisms https://doi.org/10.1175/JCLI-D-21-0043.1
142. The influence of recent and future climate change on spring Arctic cyclones C. Parker et al. https://doi.org/10.1038/s41467-022-34126-7
143. Regional extreme precipitation index: Evaluations and projections from the multi-model ensemble CMIP5 over Thailand S. Rojpratak & S. Supharatid https://doi.org/10.1016/j.wace.2022.100475
144. Dynamics of Southern Hemisphere Super Gyre response to external forcings J. Liu et al. https://doi.org/10.1007/s00382-025-07799-1
145. A compound event-oriented framework to tropical fire risk assessment in a changing climate A. Ribeiro et al. https://doi.org/10.1088/1748-9326/ac7342
146. Assessment of climate change impact on temperature extremes in a tropical region with the climate projections from CMIP6 model S. Das et al. https://doi.org/10.1007/s00382-022-06416-9
147. Long-Term Global Trends in Vineyard Coverage and Fresh Grape Production N. Ohana-Levi & Y. Netzer https://doi.org/10.3390/agriculture15181976
148. The driving of North American climate extremes by North Pacific stationary-transient wave interference M. Park et al. https://doi.org/10.1038/s41467-024-51601-5
149. Climate Change and Its Effects on Concrete Pouring Activity: The Case of Kırıkkale S. Oruc et al. https://doi.org/10.29137/umagd.1500003
150. Globally and intergenerationally unequal exposure to hourly heat extremes W. Liao et al. https://doi.org/10.1038/s41558-026-02724-8
151. Why could ENSO directly affect the occurrence frequency of Arctic daily warming events after the late 1970s? C. Wang et al. https://doi.org/10.1088/1748-9326/acb06f
152. Integrating crop, groundwater, and economic dynamics: Insights into climate adaptation in the overexploited U.S. ogallala aquifer J. Zhu et al. https://doi.org/10.1016/j.agwat.2025.109717
153. Drought facilitated the westward expansion of the Mongol Empire in the 1230s W. Yue et al. https://doi.org/10.1016/j.fmre.2025.08.010
154. Sustainable development reduces particulate matter emissions and mitigates aging’s cognitive impact G. Zhu et al. https://doi.org/10.1038/s41612-025-01052-6
155. Increased labor losses and decreased adaptation potential in a warmer world L. Parsons et al. https://doi.org/10.1038/s41467-021-27328-y
156. Developing Guidelines for working with Multi-Model Ensembles in CMIP A. Katzenberger et al. https://doi.org/10.5194/esd-17-495-2026
157. CMIP6-based projections of climate-driven contraction and topographic refugia in German peatland habitat suitability: implications for restoration prioritization and 2045 carbon neutrality E. İlter & C. Türe https://doi.org/10.1007/s11273-026-10195-z
158. Global population‐weighted degree‐day projections for a combination of climate and socio‐economic scenarios J. Spinoni et al. https://doi.org/10.1002/joc.7328
159. Role of adaptation measures in addressing heatwave exposure in China Q. Han et al. https://doi.org/10.1016/j.accre.2024.02.001
160. Generating Future Weather Data for Building Energy Simulations: A Review of Methods, Applications and Challenges M. Lei et al. https://doi.org/10.3390/buildings16122384
161. Long-Term Freezing Temperatures Frequency Change Effect on Wind Energy Gain (Eurasia and North America, 1950–2019) M. Aizpurua-Etxezarreta et al. https://doi.org/10.3390/su14095630
162. Global invasion risk assessment of Lantana camara, a highly invasive weed, under future environmental change P. Adhikari et al. https://doi.org/10.1016/j.gecco.2024.e03212
163. Climate change and health in Kuwait: temperature and mortality projections under different climatic scenarios B. Alahmad et al. https://doi.org/10.1088/1748-9326/ac7601
164. Deforestation intensifies daily temperature variability in the northern extratropics J. Ge et al. https://doi.org/10.1038/s41467-022-33622-0
165. Baseline Climate Variables for Earth System Modelling M. Juckes et al. https://doi.org/10.5194/gmd-18-2639-2025
166. Climate nonlinearities: selection, uncertainty, projections, and damages B. Cael et al. https://doi.org/10.1088/1748-9326/ac8238
167. Variability of ecosystem carbon source from microbial respiration is controlled by rainfall dynamics H. Huang et al. https://doi.org/10.1073/pnas.2115283118
168. Advancing Land Use Modeling with Rice Cropping Intensity: A Geospatial Study on the Shrinking Paddy Fields in Indonesia L. Gandharum et al. https://doi.org/10.3390/geographies5030031
169. Disentangling the Impacts of Anthropogenic Aerosols on Terrestrial Carbon Cycle During 1850–2014 Y. Zhang et al. https://doi.org/10.1029/2021EF002035
170. Simple Hybrid Sea Ice Nudging Method for Improving Control Over Partitioning of Sea Ice Concentration and Thickness A. Audette & P. Kushner https://doi.org/10.1029/2022MS003180
171. Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environment E. Lumet et al. https://doi.org/10.1016/j.dib.2025.111285
172. Quantifying the Anthropogenic Greenhouse Gas Contribution to the Observed Spring Snow-Cover Decline Using the CMIP6 Multimodel Ensemble S. Paik & S. Min https://doi.org/10.1175/JCLI-D-20-0002.1
173. Dynamics of ENSO Phase–Locking and Its Biases in Climate Models H. Chen & F. Jin https://doi.org/10.1029/2021GL097603
174. Is There Any Improvement in Simulation of the Wintertime Western Pacific Teleconnection Pattern and Associated Climate Anomalies in CMIP6 Compared to CMIP5 Models? H. Aru et al. https://doi.org/10.1175/JCLI-D-21-0016.1
175. An Overview of the Atmospheric Component of the Energy Exascale Earth System Model P. Rasch et al. https://doi.org/10.1029/2019MS001629
176. REtrieval Method for optical and physical Aerosol Properties in the stratosphere (REMAPv1) A. Jörimann et al. https://doi.org/10.5194/gmd-18-6023-2025
177. Reliability in Distribution Modeling—A Synthesis and Step-by-Step Guidelines for Improved Practice A. Bryn et al. https://doi.org/10.3389/fevo.2021.658713
178. Atmospheric rivers and their impact on extreme precipitation during the Southwest monsoon over india: a CMIP6 evaluation M. Nair et al. https://doi.org/10.1007/s00703-025-01099-3
179. CAS FGOALS-f3-L Large-ensemble Simulations for the CMIP6 Polar Amplification Model Intercomparison Project B. He et al. https://doi.org/10.1007/s00376-021-0343-4
180. Increase in convective extreme El Niño events in a CO 2 removal scenario G. Pathirana et al. https://doi.org/10.1126/sciadv.adh2412
181. Regional climate projections of daily extreme temperatures in Argentina applying statistical downscaling to CMIP5 and CMIP6 models R. Balmaceda-Huarte et al. https://doi.org/10.1007/s00382-024-07147-9
182. Decadal drought prediction via spectral transformation of projected Sea Surface Temperatures Z. Jiang & A. Sharma https://doi.org/10.1016/j.hydroa.2025.100203
183. Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng https://doi.org/10.3390/atmos15010079
184. Interdecadal weakening of the cross-equatorial flows over the Maritime Continent during the boreal summer in the mid-1990s: drivers and physical processes X. Zhao et al. https://doi.org/10.1007/s00382-021-05692-1
185. Improved representativeness of simulated climate using natural units and monthly resolution H. Huebener et al. https://doi.org/10.3389/fclim.2022.991082
186. Important role of stratosphere-troposphere coupling in the Arctic mid-to-upper tropospheric warming in response to sea-ice loss M. Xu et al. https://doi.org/10.1038/s41612-023-00333-2
187. Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model A. Cherchi et al. https://doi.org/10.1029/2018MS001369
188. Climate projections and the increasing aridity in the Canary Islands N. Cruz-Pérez et al. https://doi.org/10.1007/s00704-026-06491-6
189. Future projections of seasonal temperature and precipitation for India P. Salunke et al. https://doi.org/10.3389/fclim.2023.1069994
190. Widening of the tropics in global surface-air winds S. Leroy & S. Vannah https://doi.org/10.1038/s41598-026-43234-z
191. Slightly Enhanced Drought in the Yellow River Basin Under Future Warming Scenarios C. Li et al. https://doi.org/10.2139/ssrn.4052312
192. The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). II. Moist Cases—The Two Waterworlds D. Sergeev et al. https://doi.org/10.3847/PSJ/ac6cf2
193. Assessment of climate change impacts on floods with a hybrid data-driven and conceptual model across a data-scarce region E. Zarei et al. https://doi.org/10.2166/wcc.2025.557
194. Seasonally Dependent Future Changes in the U.S. Midwest Hydroclimate and Extremes https://doi.org/10.1175/JCLI-D-21-0012.1
195. Indian Ocean variability changes in the Paleoclimate Modelling Intercomparison Project C. Brierley et al. https://doi.org/10.5194/cp-19-681-2023
196. Conditional updates of neural network weights for increased out of training performance J. Saynisch-Wagner & S. Sari https://doi.org/10.5194/npg-33-503-2026
197. Marine heatwaves and global warming impacts on winter waters in the Southern Indian Ocean C. Azarian et al. https://doi.org/10.1016/j.jmarsys.2023.103962
198. Assessment of future multiple ecosystem services in Central Asia based on the earth system model H. Wang et al. https://doi.org/10.1016/j.jclepro.2024.142907
199. Multimodel GCM-RCM ensemble-based projections of tropical cyclone activities over CORDEX East Asia domain E. Kim et al. https://doi.org/10.1007/s00382-025-07627-6
200. Escalating risks of anomalously hot–dry growing seasons in arid Northwest China under human influence X. Yu et al. https://doi.org/10.1016/j.accre.2025.08.004
201. Simulating dynamic fire regime and vegetation change in a warming Siberia N. Williams et al. https://doi.org/10.1186/s42408-023-00188-1
202. Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. https://doi.org/10.5194/acp-24-3217-2024
203. The Asymmetric Predictive Power of Indian Ocean Dipole for Subsequent Year's ENSO: Role of Atlantic Ocean as an Intermediary L. Fan & X. Meng https://doi.org/10.1029/2023GL105525
204. Climate-resilient operation of hybrid GSHP–ASHP systems: 50-year energy-saving performance under climate change in Tokyo, Japan Y. Shimada et al. https://doi.org/10.1016/j.ecmx.2026.101925
205. Comparison of past and future simulations of ENSO in CMIP5/PMIP3 and CMIP6/PMIP4 models J. Brown et al. https://doi.org/10.5194/cp-16-1777-2020
206. A CENTURY-LONG GLOBAL OFFLINE SIMULATION TOWARD LAND SURFACE, SNOW, SOIL-MOISTURE MODEL INTERCOMPARISON PROJECT (LS3MIP) Y. ONUMA et al. https://doi.org/10.2208/jscejhe.74.5_I_43
207. Warm-wetting and/or warm-drying tendency over Xinjiang, China? G. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133417
208. A CMIP6 Analysis of Past and Future Arctic Winter Stratospheric Temperature Trends K. Bloxam & Y. Huang https://doi.org/10.1029/2023JD039866
209. Sea Ice Targeted Geoengineering Can Delay Arctic Sea Ice Decline but not Global Warming L. Zampieri & H. Goessling https://doi.org/10.1029/2019EF001230
210. Emergence of seasonal delay of tropical rainfall during 1979–2019 F. Song et al. https://doi.org/10.1038/s41558-021-01066-x
211. Interannual antiphase variability in March–May precipitation between Central Asia and Southeast Asia: role of the westerly jet Z. Zhou & X. Zhang https://doi.org/10.1016/j.gloplacha.2026.105721
212. Radiative Forcing of Climate: The Historical Evolution of the Radiative Forcing Concept, the Forcing Agents and their Quantification, and Applications V. Ramaswamy et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-19-0001.1
213. Assessment of Sectoral Virtual Water Flows and Future Water Requirement in Agriculture Under SSP-RCP Scenarios: Reflections for Water Resources Management in Zhangye City Y. Wang et al. https://doi.org/10.3389/fevo.2022.901873
214. Rapidly increasing likelihood of exceeding 50 °C in parts of the Mediterranean and the Middle East due to human influence N. Christidis et al. https://doi.org/10.1038/s41612-023-00377-4
215. Projections of extreme rainfall in South Africa using CMIP6 ISIMIP models T. Mohomi et al. https://doi.org/10.1007/s00382-026-08079-2
216. Climate change impacts on solar power generation and its spatial variability in Europe based on CMIP6 X. Hou et al. https://doi.org/10.5194/esd-12-1099-2021
217. Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso M. Krock et al. https://doi.org/10.1080/10618600.2023.2174126
218. Assessing the Impact of Climate Change on an Ungauged Watershed in the Congo River Basin S. Masamba et al. https://doi.org/10.3390/w16192825
219. Compounding heat and hydrological stress under climate change amplifies land degradation in Northwest Queensland rangelands D. Cubillo https://doi.org/10.1016/j.catena.2026.110445
220. Analysis of combined series of hydrological angular momentum developed based on climate models J. Nastula et al. https://doi.org/10.3389/feart.2024.1369106
221. Future changes in semi-permanent systems and seasonal rainfall during Indian summer monsoon: Insights from CMIP6 coupled models G. Sripathi et al. https://doi.org/10.1007/s00382-026-08220-1
222. Representing the Dynamic Response of Vegetation to Nitrogen Limitation via Biological Nitrogen Fixation in the CLASSIC Land Model S. Kou‐Giesbrecht & V. Arora https://doi.org/10.1029/2022GB007341
223. A protocol for calculating basal melt rates in the ISMIP6 Antarctic ice sheet projections N. Jourdain et al. https://doi.org/10.5194/tc-14-3111-2020
224. Robust Relationship Between Midlatitudes CAPE and Moist Static Energy Surplus in Present and Future Simulations Z. Wang & E. Moyer https://doi.org/10.1029/2023GL104163
225. Analysis of urban thermal structures in different scenarios of hot weather: The Bologna case study M. Possega et al. https://doi.org/10.1016/j.uclim.2026.102779
226. Improved Madden–Julian oscillation simulation using the modified moist physical parameterizations for a global climate model X. Li et al. https://doi.org/10.1007/s00382-025-07834-1
227. Projected water availability in the Tawa River Basin India in changing climate P. Badika et al. https://doi.org/10.1016/j.gsd.2024.101176
228. Selecting the best CMIP6 GCMs for application and downscaling studies over Pakistan, Nepal and Bangladesh S. Ali et al. https://doi.org/10.1007/s11600-025-01642-1
229. Uncertainties in projected surface mass balance over the polar ice sheets from dynamically downscaled EC-Earth models F. Boberg et al. https://doi.org/10.5194/tc-16-17-2022
230. Future climate or land use? Attribution of changes in surface runoff in a typical Sahelian landscape R. Yonaba et al. https://doi.org/10.5802/crgeos.179
231. Global Surface Ocean Acidification Indicators From 1750 to 2100 L. Jiang et al. https://doi.org/10.1029/2022MS003563
232. Investigating the skills of HighResMIP in capturing historical and future mean precipitation shifts over Pakistan K. Eman et al. https://doi.org/10.1002/joc.8558
233. Irrigation impact on boundary layer and precipitation characteristics in Weather Research and Forecasting model simulations during LIAISE‐2021 M. Udina et al. https://doi.org/10.1002/qj.4756
234. An improved deep learning procedure for statistical downscaling of climate data A. Kheir et al. https://doi.org/10.1016/j.heliyon.2023.e18200
235. Hydro-meteorological impacts of climate change on hydrologic regime in the upper Godavari Basin, India: A CMIP6-driven HEC-HMS assessment F. Shamsu et al. https://doi.org/10.1016/j.pce.2026.104467
236. Historically-based run-time bias corrections substantially improve model projections of 100 years of future climate change G. Krinner et al. https://doi.org/10.1038/s43247-020-00035-0
237. Influence of Low‐Frequency PNA Variability on MJO Teleconnections to North American Atmospheric River Activity K. Toride & G. Hakim https://doi.org/10.1029/2021GL094078
238. Recent Advances in Land–Atmosphere Interactions and Atmospheric Water Cycle Feedbacks Under Climate Change N. Li et al. https://doi.org/10.3390/atmos17070644
239. Assessing Climate Change Impacts on Future Precipitation Using Random Forest Statistical Downscaling of CMIP6 HadGEM3 Projections in the Büyük Menderes Basin I. Ara et al. https://doi.org/10.3390/w18020277
240. Combining climate models and observations to predict the time remaining until regional warming thresholds are reached E. Barnes et al. https://doi.org/10.1088/1748-9326/ad91ca
241. Projected streamflow and suspended sediment dynamics under SSP scenarios in the Botan Creek Basin, Türki̇ye A. Simsek et al. https://doi.org/10.1007/s00704-026-06478-3
242. Mapping the distribution of sandflies and sandfly-associated pathogens in China X. Hong et al. https://doi.org/10.1371/journal.pntd.0012291
243. The impact of stratospheric aerosol intervention on the North Atlantic and Quasi-Biennial Oscillations in the Geoengineering Model Intercomparison Project (GeoMIP) G6sulfur experiment A. Jones et al. https://doi.org/10.5194/acp-22-2999-2022
244. The Radiative Forcing Model Intercomparison Project (RFMIP): experimental protocol for CMIP6 R. Pincus et al. https://doi.org/10.5194/gmd-9-3447-2016
245. Spatially explicit forecasting of frost damage in German apple cultivation under changing climatic conditions C. Schmitz et al. https://doi.org/10.1016/j.eja.2026.128288
246. Does climate change affect the economic adaptability of community “SGLS” systems? W. Chen & S. Chen https://doi.org/10.1016/j.eneco.2026.109374
247. On divergence- and gradient-preserving coarse-graining for finite volume primitive equation ocean models S. Patching https://doi.org/10.1016/j.ocemod.2021.101941
248. Impacts and risks of “realistic” global warming projections for the 21st century N. Scafetta https://doi.org/10.1016/j.gsf.2023.101774
249. Climate Change Signal in Atlantic Tropical Cyclones Today and Near Future C. Lee et al. https://doi.org/10.1029/2023EF003539
250. Effect of global climate change on the sub-ambient radiative cooling performance of ideal coolers in different environments J. Xu & J. Qiu https://doi.org/10.1016/j.icheatmasstransfer.2025.108705
251. Why Do Models Produce Spread in Snow Albedo Feedback? C. Thackeray et al. https://doi.org/10.1029/2018GL078493
252. Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and subarctic climate P. de Vrese et al. https://doi.org/10.5194/tc-17-2095-2023
253. The Role of Interactive Soil Moisture in Land Drying Under Anthropogenic Warming W. Zhou et al. https://doi.org/10.1029/2023GL105308
254. Perspective on the shifting interannual variability of recent summer temperature modes in eastern China: Roles of Arctic sea-ice, Arctic Oscillation and Pakistan precipitation Z. Wu et al. https://doi.org/10.1038/s41612-025-01236-0
255. Integrated Carbon Stock Simulation in Jiangsu Province Using InVEST and Random Forest Under Multi-Scenario Climate and Productivity Pathways T. Shi et al. https://doi.org/10.3390/su17177705
256. Anthropogenic forcing drives divergent changes in winter extreme temperature drops across eastern China Z. Chen et al. https://doi.org/10.1016/j.accre.2026.06.015
257. Synchronizing climate intervention: On the infrastructural timing of expert foresight J. Andersson et al. https://doi.org/10.1177/0961463X261459537
258. TIMCOM model datasets for the CMIP6 Ocean Model Intercomparison Project Y. Tseng et al. https://doi.org/10.1016/j.ocemod.2022.102109
259. Assessment and Zoning of Agricultural Drought Disaster Risk in Henan Province, China S. Yang et al. https://doi.org/10.3390/su18179205
260. Human influence on frequency of temperature extremes T. Hu et al. https://doi.org/10.1088/1748-9326/ab8497
261. Study on environmental factors affecting the quality of codonopsis radix based on MaxEnt model and all-in-one functional factor Z. Wang et al. https://doi.org/10.1038/s41598-023-46546-6
262. Recent and projected changes in climate patterns in the Middle East and North Africa (MENA) region D. Francis & R. Fonseca https://doi.org/10.1038/s41598-024-60976-w
263. Atmospheric CO2 during the Mid-Piacenzian Warm Period and the M2 glaciation E. de la Vega et al. https://doi.org/10.1038/s41598-020-67154-8
264. Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble E. Coppola et al. https://doi.org/10.1007/s00382-021-05640-z
265. Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models J. Santos et al. https://doi.org/10.3390/land12040880
266. The 21st-century wetting inhibits growing surface ozone in Northwestern China X. Zhang et al. https://doi.org/10.5194/acp-25-9669-2025
267. Icon simulations suggest model-dependent cloud feedbacks in global storm-resolving models A. Uribe et al. https://doi.org/10.1007/s00382-026-08235-8
268. Bridging Global Climate Solutions and Local Realities: Evaluating Neural Networks for High-Resolution Downscaling D. Taniushkina et al. https://doi.org/10.1109/ACCESS.2026.3673693
269. Analysis of a Record-Breaking Rainfall Event Associated With a Monsoon Coastal Megacity of South China Using Multisource Data M. Li et al. https://doi.org/10.1109/TGRS.2020.3029831
270. On the emission-path dependency of the efficiency of ocean alkalinity enhancement J. Schwinger et al. https://doi.org/10.1088/1748-9326/ad5a27
271. Patterns of atmospheric circulation linking the positive tropical Indian Ocean dipole and southern African rainfall during summer C. Ibebuchi https://doi.org/10.1007/s12040-022-02025-6
272. The Combined Effect of Atmospheric and Solar Activity Forcings on the Hydroclimate in Southeastern Europe I. Mares et al. https://doi.org/10.3390/atmos14111622
273. Exploring Climate Change Effects on Drought Patterns in Bangladesh Using Bias-Corrected CMIP6 GCMs S. Yildiz et al. https://doi.org/10.1007/s41748-023-00362-0
274. Observationally constrained projections over the Tibetan Plateau and their connection to global warming Q. Hu et al. https://doi.org/10.1007/s00704-026-06368-8
275. Future forecast of global mean surface temperature using machine learning and conventional time series methods T. Durhasan et al. https://doi.org/10.1007/s00704-024-05260-7
276. Protracted ocean circulation slowdown drove exceptional ice-sheet melting during ice age termination IV H. Hu et al. https://doi.org/10.1038/s41467-026-73733-6
277. Subglacial discharge accelerates future retreat of Denman and Scott Glaciers, East Antarctica T. Pelle et al. https://doi.org/10.1126/sciadv.adi9014
278. Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model Y. Xia et al. https://doi.org/10.1371/journal.pone.0282659
279. Intensified annual cycle of tropical Atlantic sea surface temperature regulates Pacific cooling J. Xu et al. https://doi.org/10.1038/s43247-025-03168-2
280. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 T. Mauritsen et al. https://doi.org/10.1029/2018MS001400
281. Drivers of local contribution to beta diversity of fish communities in a tropical river basin of Indian Deccan Plateau A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2024.11.002
282. Subseasonal variability of the winter North Atlantic jet stream has decreased due to climate change A. Vacca et al. https://doi.org/10.1038/s43247-026-03423-0
283. The NUIST Earth System Model (NESM) version 3: description and preliminary evaluation J. Cao et al. https://doi.org/10.5194/gmd-11-2975-2018
284. Current and future trends in heat-related mortality in the MENA region: a health impact assessment with bias-adjusted statistically downscaled CMIP6 (SSP-based) data and Bayesian inference S. Hajat et al. https://doi.org/10.1016/S2542-5196(23)00045-1
285. Assessing Future Projections of Warm‐Season Marine Heatwave Characteristics With Three CMIP6 Models X. Li & S. Donner https://doi.org/10.1029/2022JC019253
286. Extreme heat and drought at flowering could threaten global wheat yields under climate change N. Senapati et al. https://doi.org/10.1007/s10584-025-04054-8
287. Towards benchmarking the dynamically downscaled CMIP6 CORDEX-Australasia ensemble over Australia X. Jiang et al. https://doi.org/10.1071/ES24050
288. Review of climate simulation by Simple Climate Models A. Romero-Prieto et al. https://doi.org/10.5194/gmd-19-115-2026
289. Evaluating the Influence of CAM5 Aerosol Configuration on Simulated Tropical Cyclones in the North Atlantic J. Huff et al. https://doi.org/10.3390/cli10090130
290. Global droughts in a warming climate: Evaluation of SPI and SPEI under 1.5 , 2 , and 3 C global warming K. Bhardwaj et al. https://doi.org/10.1016/j.jhydrol.2025.133309
291. Projected climate regime over Pakistan and its implications for hydrology in the Hunza River Basin using CMIP6 GCMs M. Hassan et al. https://doi.org/10.1007/s00382-025-07768-8
292. Oceanic Harbingers of Pacific Decadal Oscillation Predictability in CESM2 Detected by Neural Networks E. Gordon et al. https://doi.org/10.1029/2021GL095392
293. The overlooked burden of moderate temperatures on fire services Y. Zhu & H. Zhang https://doi.org/10.1016/j.ssci.2026.107268
294. Correction to: Near-term regional climate change in East Africa Y. Choi et al. https://doi.org/10.1007/s00382-023-06802-x
295. Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence J. Ejarque et al. https://doi.org/10.1016/j.future.2022.04.014
296. Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 N. Effenberger & N. Ludwig https://doi.org/10.1017/eds.2025.10018
297. Australian climate warming: observed change from 1850 and global temperature targets M. Grose et al. https://doi.org/10.1071/ES22018
298. Spatio-temporal variability of sea-ice and ocean parameters over the Arctic Ocean in response to a warming climate S. Ravindran et al. https://doi.org/10.1016/j.polar.2021.100721
299. Naturalized streamflows and Affluent Natural Energy projections for the Brazilian hydropower sector for the SSP2-4.5 and SSP5-8.5 scenarios of the CMIP6 M. Silva et al. https://doi.org/10.2166/wcc.2021.352
300. The changing characteristics of torrential rainfall in the Huaihe River Basin from 1961 to 2020 C. Li et al. https://doi.org/10.1088/2515-7620/ad7f2b
301. El Niño Magnitude and Western Pacific Warm Pool Displacement. Part I: Historical Insights from CMIP6 Models Z. Gu & D. Sun https://doi.org/10.3390/atmos16060680
302. Performance of CMIP6 GCMs in Representing Extreme Precipitation in Peru (1981–2014) G. De la Cruz et al. https://doi.org/10.3390/cli14080165
303. Comparing ML Methods for Downscaling Near-Surface Air Temperature over the Eastern Mediterranean A. Blizer et al. https://doi.org/10.3390/rs16081314
304. Warming Pattern over the Northern Hemisphere Midlatitudes in Boreal Summer 1979–2020 H. Teng et al. https://doi.org/10.1175/JCLI-D-21-0437.1
305. Pattern asymmetry in extreme Indian Ocean dipoles shapes marine heat-height compound extremes around coastal Indonesia M. Xie et al. https://doi.org/10.1038/s43247-025-02184-6
306. The Impact of Prescribed Ozone in Climate Projections Run With HadGEM3‐GC3.1 S. Hardiman et al. https://doi.org/10.1029/2019MS001714
307. Future changes and uncertainty in tropical cyclone genesis over the western North Pacific: insights from the dynamic genesis potential index using CMIP6 models P. Wang et al. https://doi.org/10.1007/s00382-025-07599-7
308. The Effect of Climate Change and Future Land Use Using the CA-Markov Model on the Streamflow of the Talar River in Mazandaran Province H. Ruigar et al. https://doi.org/10.61186/jwmr.15.2.89
309. Improvement of the simulation of the summer East Asian westerly jet from CMIP5 to CMIP6 Y. FU et al. https://doi.org/10.1080/16742834.2020.1746175
310. Response of terrestrial net primary production to climate change associated with the quadrupling CO2 forcing in CMIP6 models J. Zhu et al. https://doi.org/10.1002/asl.1098
311. Are Simulated Ocean Deoxygenation Rates Consistent with the Observational Reconstructions? T. Ito et al. https://doi.org/10.1146/annurev-earth-032524-123111
312. Land-Climate-Heating Nexus: Framework for institutional heating characterization and prediction H. Luo et al. https://doi.org/10.1016/j.scs.2026.107650
313. Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions W. Wieder et al. https://doi.org/10.1029/2018GB006141
314. The impact of climate change on astronomical observations F. Cantalloube et al. https://doi.org/10.1038/s41550-020-1203-3
315. Heat wave magnitude over India under changing climate: Projections from CMIP5 and CMIP6 experiments J. Das & N. Umamahesh https://doi.org/10.1002/joc.7246
316. Remotely Sensed Vegetation Green-Up Onset Date on the Tibetan Plateau: Simulations and Future Predictions R. Cao et al. https://doi.org/10.1109/JSTARS.2023.3310617
317. Continental Hydrologic Intercomparison Project, Phase 1: A Large‐Scale Hydrologic Model Comparison Over the Continental United States D. Tijerina‐Kreuzer et al. https://doi.org/10.1029/2020WR028931
318. Multimodel ensemble analysis with neural network Gaussian processes T. Harris et al. https://doi.org/10.1214/23-AOAS1768
319. Prediction of South China Sea summer monsoon onset in the CAMS‐CSM climate forecast system T. Han & L. Wang https://doi.org/10.1002/joc.8308
320. Decadal variability of the Kuroshio Extension: the response of the jet to increased atmospheric resolution in a coupled ocean–atmosphere model G. Fedele et al. https://doi.org/10.1007/s00382-020-05528-4
321. Investigating future changes in precipitation interannual variability and extremes over southern China Y. Liu et al. https://doi.org/10.1002/joc.7842
322. Do CMIP6 earth system models outperform their predecessors in simulating global vegetation changes? R. Xu et al. https://doi.org/10.1016/j.agrformet.2026.111067
323. Projecting Irrigation Water and Crop Water Requirements for Paddies Using WEAP-MABIA under Climate Change H. Rhymee et al. https://doi.org/10.3390/w16172498
324. Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole F. Ling et al. https://doi.org/10.1038/s41467-022-35412-0
325. Global decline of pelagic fauna in a warmer ocean A. Ariza et al. https://doi.org/10.1038/s41558-022-01479-2
326. Increasing Fire Weather Potential Over Northeast China Linked to Declining Bering Sea Ice G. Liu et al. https://doi.org/10.1029/2023GL105931
327. Direct vegetation response to recent CO2 rise shows limited effect on global streamflow H. Wei et al. https://doi.org/10.1038/s41467-024-53879-x
328. Storylines reveal contrasting thermodynamic effects of climate change on 2020/21 East Asian cold extremes W. Zhuo et al. https://doi.org/10.1038/s41612-025-01031-x
329. Using CMIP6 Models to Assess the Significance of the Observed Trend in the Atlantic Meridional Overturning Circulation R. Kelson et al. https://doi.org/10.1029/2022GL100202
330. Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. https://doi.org/10.1111/gcb.16503
331. Underestimated relationship between westerly wind bursts and ENSO in CMIP6 models M. Wang et al. https://doi.org/10.1016/j.aosl.2023.100336
332. An investigation of weighting schemes suitable for incorporating large ensembles into multi-model ensembles A. Merrifield et al. https://doi.org/10.5194/esd-11-807-2020
333. Drought characteristics projections based on CMIP6 climate change scenarios in Syria S. Mathbout et al. https://doi.org/10.1016/j.ejrh.2023.101581
334. Harnessing complementarity of offshore wind and solar to stabilize global offshore wind-solar hybrid power system under climate change Y. Zhuang et al. https://doi.org/10.1016/j.energy.2026.141819
335. Forced changes in El Niño–Southern Oscillation due to global warming and the associated uncertainties in ACCESS-ESM1.5 large ensembles H. Rashid https://doi.org/10.3389/fclim.2022.954449
336. Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. https://doi.org/10.5194/acp-22-12221-2022
337. The contribution of fires to PM2.5 and population exposure in the Asia Pacific region H. Lu et al. https://doi.org/10.5194/acp-25-10141-2025
338. Long‐Distance Corridors Facilitate Asian Elephant Adaptation to Climate Change X. Lu et al. https://doi.org/10.1002/inc3.70001
339. Computational framework for the Earth system modelling and the INM-CM6 climate model implemented on its base E. Volodin et al. https://doi.org/10.1515/rnam-2024-0032
340. Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. https://doi.org/10.1007/s00382-021-06030-1
341. Climate Models Underestimate Dynamic Cloud Feedbacks in the Tropics P. Hill et al. https://doi.org/10.1029/2023GL104573
342. Observed and CMIP6 Modeled Internal Variability Feedbacks and Their Relation to Forced Climate Feedbacks A. Uribe et al. https://doi.org/10.1029/2022GL100075
343. Projections and uncertainty decomposition in CMIP6 models for extreme precipitation scaling rates M. Sothearith & K. Ahn https://doi.org/10.1016/j.jhydrol.2025.133260
344. Early burst of Tibetan Plateau vortices increases extreme precipitation over Tibetan Plateau in early spring L. Li et al. https://doi.org/10.1038/s41612-025-01094-w
345. Climate change and tree cover loss affect the habitat suitability of Cedrela angustifolia: evaluating climate vulnerability and conservation in Andean montane forests F. Ames-Martínez et al. https://doi.org/10.7717/peerj.18799
346. Environmental suitability of Coccidioides in the USA under climate change scenarios: a modelling study A. Deshpande et al. https://doi.org/10.1016/j.lanplh.2026.101481
347. Impacts of changing climate on the distribution of Solenopsis invicta Buren in Mainland China: Exposed urban population distribution and suitable habitat change H. Wang et al. https://doi.org/10.1016/j.ecolind.2022.108944
348. Impact of Saharan dust on landfalling North Atlantic tropical cyclones over North America in September Z. Zhang & W. Zhou https://doi.org/10.1016/j.aosl.2022.100276
349. Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. https://doi.org/10.1007/s00382-024-07105-5
350. North Atlantic deep water formation and AMOC in CMIP5 models C. Heuzé https://doi.org/10.5194/os-13-609-2017
351. Turkestan cockroach environmental suitability in the United States J. Porras-Villamil et al. https://doi.org/10.1093/aesa/saag035
352. Improved Representation of Extratropical Cyclone Structure in HighResMIP Models M. Priestley & J. Catto https://doi.org/10.1029/2021GL096708
353. Invasive golden oyster mushrooms are disrupting native fungal communities as they spread throughout North America A. Veerabahu et al. https://doi.org/10.1016/j.cub.2025.06.049
354. Projected dipole changes in the Pacific meridional mode-induced tropical cyclone genesis over the Western North Pacific under global warming X. Wei et al. https://doi.org/10.1007/s00382-025-07907-1
355. Relationships between potential, attainable, and actual skill in a decadal prediction experiment G. Boer et al. https://doi.org/10.1007/s00382-018-4417-7
356. Evaluation of an Online Grid‐Coarsening Algorithm in a Global Eddy‐Admitting Ocean Biogeochemical Model S. Berthet et al. https://doi.org/10.1029/2019MS001644
357. Effects of Climate Change on the Distribution of Scomber japonicus and Konosirus punctatus in China’s Coastal and Adjacent Waters M. Xia et al. https://doi.org/10.3390/fishes9100395
358. Future projections of reference evapotranspiration in semi-arid areas: CMIP6 bias correction, climate trends, and implications for irrigation in the Chichaoua agricultural basin in Morocco A. Bounajra et al. https://doi.org/10.1016/j.ejrh.2026.103664
359. Model‐based impact analysis of climate change and land‐use intensification on trophic networks C. Neumann et al. https://doi.org/10.1111/ecog.07533
360. SMT-HCSD: stochastic multi-target hard-constrained spatial deep learning framework and architecture for perfect prognosis CMIP6 daily temperature downscaling W. Bekele & M. D’Oria https://doi.org/10.1007/s00477-026-03303-1
361. All-Day Retrieval of Cloud Physical Properties From Meteosat Second Generation Satellite Z. Yang et al. https://doi.org/10.1109/TGRS.2025.3598117
362. Potential impacts of climate change on wild relatives of lentil (Lens spp.): An ecological niche model approach Ş. Boyraz Topaloğlu et al. https://doi.org/10.1016/j.flora.2023.152372
363. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
364. Persistent Discrepancies between Observed and Modeled Trends in the Tropical Pacific Ocean R. Seager et al. https://doi.org/10.1175/JCLI-D-21-0648.1
365. Ocean Dynamics Causes the Equatorial Pacific SST Bias in CAS‐ESM2‐0 W. Si et al. https://doi.org/10.1029/2023JD039593
366. Representing natural climate variability in an event attribution context: Indo-Pakistani heatwave of 2022 S. Nath et al. https://doi.org/10.1016/j.wace.2024.100671
367. A Synthesis of Compound Drought in Africa: Mechanisms, Hotspots, Impacts, and Future Projections O. Adeyeri https://doi.org/10.3390/w18091040
368. The dominant North Pacific atmospheric circulation patterns and their relations to Pacific SSTs: historical simulations and future projections in the IPCC AR6 models S. Chen et al. https://doi.org/10.1007/s00382-020-05501-1
369. Changing Northern Hemisphere weather linked to warming amplification in High Mountain Asia Y. Xie et al. https://doi.org/10.1038/s43247-025-02883-0
370. Resolved tropical cyclones trigger CO 2 uptake and phytoplankton bloom in an Earth system model simulation D. Nielsen et al. https://doi.org/10.1073/pnas.2506103122
371. Unraveling Climate Risks to Cotton Yield in Arid Northwest China: Projections and Driving Factors S. Yue et al. https://doi.org/10.1007/s41748-025-01011-4
372. Exploring Land Use Management Strategies through Morphological Spatial Patterns Using a Climate–Socioeconomic-Based Land Use Simulation Modeling Framework Y. Xie et al. https://doi.org/10.3390/land12091722
373. Synthesizing global carbon–nitrogen coupling effects – the MAGICC coupled carbon–nitrogen cycle model v1.0 G. Tang et al. https://doi.org/10.5194/gmd-18-2193-2025
374. How Unexpected Was the 2022 Summertime Heat Extremes in the Middle Reaches of the Yangtze River? W. Hua et al. https://doi.org/10.1029/2023GL104269
375. On scientific foundation models: Rigorous definitions, key applications, and a comprehensive survey S. Menon et al. https://doi.org/10.1016/j.neunet.2026.108567
376. Assessing the impacts of climate change on river flow regimes in Paraná, Brazil using GR2M and GCM projections M. Ghirelli et al. https://doi.org/10.1007/s44292-026-00074-w
377. Summer compound heatwaves over China: projected changes at different global warming levels and related physical processes M. Zhang et al. https://doi.org/10.1007/s00382-023-07001-4
378. Past and future ocean warming L. Cheng et al. https://doi.org/10.1038/s43017-022-00345-1
379. Spatially Resolved Temperature Response Functions to CO2 Emissions L. Freese et al. https://doi.org/10.1029/2024GL108788
380. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
381. Excessive ITCZ but Negative SST Biases in the Tropical Pacific Simulated by CMIP5/6 Models: The Role of the Meridional Pattern of SST Bias S. Zhou et al. https://doi.org/10.1175/JCLI-D-19-0922.1
382. CMIP6 climate change and wind environment impacts on cold-region residential energy and thermal comfort: A case study of Harbin J. Mu et al. https://doi.org/10.1016/j.esd.2025.101885
383. Ocean Surface Flux Algorithm Effects on Tropical Indo‐Pacific Intraseasonal Precipitation C. Hsu et al. https://doi.org/10.1029/2021GL096968
384. Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. https://doi.org/10.5194/gmd-16-2957-2023
385. The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability S. Rusli et al. https://doi.org/10.5194/hess-28-5107-2024
386. Dependence of strategic solar climate intervention on background scenario and model physics J. Fasullo & J. Richter https://doi.org/10.5194/acp-23-163-2023
387. Constraining climate model projections with observations amplifies future runoff declines H. Kim et al. https://doi.org/10.1038/s43247-026-03213-8
388. It’s the Heat and the Humidity: The Complementary Roles of Temperature and Specific Humidity to Recent Changes in the Energy Content of the Near‐Surface Atmosphere P. Stoy et al. https://doi.org/10.1029/2021GL096628
389. Land use and land cover change intensified soil moisture drought: evidence from CMIP6-LUMIP J. Sun & A. Wang https://doi.org/10.1088/1748-9326/ae4ca5
390. Insights from modelling sixteen years of climatic and fumonisin patterns in maize in South Africa S. Gbashi et al. https://doi.org/10.1038/s41598-024-60904-y
391. Intensified future heat extremes linked with increasing ecosystem water limitation J. Denissen et al. https://doi.org/10.5194/esd-15-717-2024
392. Multidimensional Rainfall Risk for Hydropower Dam Safety from Extreme-Weighted CMIP6 Ensembles Across the Mekong Basin P. Tongnamavong et al. https://doi.org/10.3390/w18162013
393. Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al. https://doi.org/10.1029/2022JG006985
394. Recent drying of the Ganga River is unprecedented in the last 1,300 years D. Singh Chuphal et al. https://doi.org/10.1073/pnas.2424613122
395. Frequency and Intensity of Landfalling Tropical Cyclones in East Asia: Past Variations and Future Projections J. Chan https://doi.org/10.3390/meteorology2020012
396. South Asian monsoon response to regional aerosol emission reductions: insights from RAMIP A. Bhandekar et al. https://doi.org/10.1088/2752-5295/ae7fad
397. Negative Storm Surges in the Elbe Estuary—Large-Scale Meteorological Conditions and Future Climate Change C. Jensen et al. https://doi.org/10.3390/atmos13101634
398. Future exposure to moist heat extremes linked to soil dryness J. Zhou et al. https://doi.org/10.1038/s41612-025-01252-0
399. Multi-model integrated error correction for extreme precipitation: method and application D. Pengxin et al. https://doi.org/10.1007/s00382-026-08138-8
400. Description of FIO-ESM version 2.1 and evaluation of its sea ice simulations Q. Shu et al. https://doi.org/10.1016/j.ocemod.2023.102308
401. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. https://doi.org/10.1016/j.earscirev.2020.103348
402. Northern-high-latitude permafrost and terrestrial carbon response to two solar geoengineering scenarios Y. Chen et al. https://doi.org/10.5194/esd-14-55-2023
403. Evaluating InSAR-derived rates of surface-elevation change along the central U.S. Gulf Coast G. Li et al. https://doi.org/10.5194/eo-1-1-2026
404. An updated aerosol simulation in the Community Earth System Model (v2.1.3): dust and marine aerosol emissions and secondary organic aerosol formation Y. Wang et al. https://doi.org/10.5194/gmd-17-7995-2024
405. Subpolar North Atlantic heat flux drives projected U.S. East Coast sea-level trend in a climate model O. Wang et al. https://doi.org/10.1038/s43247-026-03632-7
406. Past climates inform our future J. Tierney et al. https://doi.org/10.1126/science.aay3701
407. Climate change and the potential distribution of the glassy-winged sharpshooter (Homalodisca vitripennis), an insect vector of Xylella fastidiosa J. Rossi & J. Rasplus https://doi.org/10.1016/j.scitotenv.2022.160375
408. Growth and drought reaction of European hornbeam, European white elm, field maple and wild service tree J. Schmucker et al. https://doi.org/10.1007/s00468-023-02441-1
409. The Impact of Southern Ocean Ekman Pumping, Heat and Freshwater Flux Variability on Intermediate and Mode Water Export in CMIP Models: Present and Future Scenarios L. Almeida et al. https://doi.org/10.1029/2021JC017173
410. Convective/Large-scale Rainfall Partitions of Tropical Heavy Precipitation in CMIP6 Atmospheric Models J. Yang et al. https://doi.org/10.1007/s00376-021-0238-4
411. A storyline view of the projected role of remote drivers on summer air stagnation in Europe and the United States J. Garrido-Perez et al. https://doi.org/10.1088/1748-9326/ac4290
412. A Systematic Review of Methods for Investigating Climate Change Impacts on Water-Energy-Food Nexus D. Gao et al. https://doi.org/10.1007/s11269-023-03659-x
413. The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features A. Adcroft et al. https://doi.org/10.1029/2019MS001726
414. Future summer warming pattern under climate change is affected by lapse-rate changes R. Brogli et al. https://doi.org/10.5194/wcd-2-1093-2021
415. How does globally accumulated tropical cyclone energy vary in response to a changing climate? K. Shan et al. https://doi.org/10.1016/j.scib.2024.12.036
416. On the role of climate change in the 2018 flooding event in Kerala M. Dhasmana et al. https://doi.org/10.1088/1748-9326/ace6c0
417. A Process-Based Assessment of Decadal-Scale Surface Temperature Evolutions in the NCAR CCSM4’s 25-Year Hindcast Experiments J. Chen et al. https://doi.org/10.1175/JCLI-D-16-0869.1
418. Reduced productivity and carbon drawdown of tropical forests from ground-level ozone exposure A. Cheesman et al. https://doi.org/10.1038/s41561-024-01530-1
419. The Urban Heat Island Under Climate Change: Analysis of Representative Urban Blocks in Northwestern Italy M. Piro et al. https://doi.org/10.3390/en19030660
420. Ice-related flooding in the lower Yellow River driven by atmospheric teleconnections over the past 160 years S. Yu et al. https://doi.org/10.1126/sciadv.adw4729
421. The Asian Monsoon and its Future Change in Climate Models: A Review A. KITOH https://doi.org/10.2151/jmsj.2017-002
422. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh https://doi.org/10.1007/s00382-022-06323-z
423. Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises J. Liu et al. https://doi.org/10.3390/su151310141
424. On the Projected Decline in Droughts Over South Asia in CMIP6 Multimodel Ensemble S. Aadhar & V. Mishra https://doi.org/10.1029/2020JD033587
425. Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model K. Sakaguchi et al. https://doi.org/10.5194/gmd-16-3029-2023
426. Stochastic cloud fluctuations drive Arctic winter radiative bistability J. Lim & G. Feingold https://doi.org/10.1126/sciadv.aeh3823
427. Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia J. Zhai et al. https://doi.org/10.1016/j.atmosres.2020.105111
428. A multi-metric approach for assessing CMIP6 GCM suitability for temperature extremes in Semi-Arid Regions A. Sevta et al. https://doi.org/10.1007/s00704-026-06348-y
429. Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas https://doi.org/10.1029/2020GL087132
430. Reforestation increases water inequality under low warming but reduces water availability under high warming T. Tang et al. https://doi.org/10.1016/j.oneear.2026.101740
431. Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China W. Tang et al. https://doi.org/10.3390/land11101673
432. Global exposure risk of frogs to increasing environmental dryness N. Wu et al. https://doi.org/10.1038/s41558-024-02167-z
433. Land Use Change and Landscape Ecological Risk Prediction in Urumqi under the Shared Socio-Economic Pathways and the Representative Concentration Pathways (SSP-RCP) Scenarios H. Fan et al. https://doi.org/10.3390/su151914214
434. Relative performance of CMIP5 and CMIP6 models in simulating rainfall in Peninsular Malaysia S. Pour et al. https://doi.org/10.1007/s00704-022-04076-7
435. Evaluation of seasonal teleconnections to remote drivers of Australian rainfall in CMIP5 and CMIP6 models C. Chung et al. https://doi.org/10.1071/ES23002
436. Daily INSOLation (DINSOL-v1.0): an intuitive tool for classrooms and specifying solar radiation boundary conditions E. Oliveira https://doi.org/10.5194/gmd-16-2371-2023
437. Sea surface salinity changes and trans-basin water vapor transport between the Atlantic and Pacific under CMIP6 abrupt-4xCO2 scenario Q. Sun & Y. Du https://doi.org/10.1007/s00382-022-06385-z
438. Downscaling Snow Deposition Using Historic Snow Depth Patterns: Diagnosing Limitations From Snowfall Biases, Winter Snow Losses, and Interannual Snow Pattern Repeatability J. Pflug et al. https://doi.org/10.1029/2021WR029999
439. Climate trends, variability, and changes in extreme indices under future projections over Central Oromia, Ethiopia S. Kibebew et al. https://doi.org/10.1007/s44274-025-00476-4
440. East African population exposure to precipitation extremes under 1.5 °C and 2.0 °C warming levels based on CMIP6 models B. Ayugi et al. https://doi.org/10.1088/1748-9326/ac5d9d
441. Evaluation of historical CMIP6 model simulations and future climate change projections in the Baro River Basin B. Gebisa et al. https://doi.org/10.2166/wcc.2023.032
442. Asymmetric response of South Asian summer monsoon rainfall in a carbon dioxide removal scenario S. Zhang et al. https://doi.org/10.1038/s41612-023-00338-x
443. Association of western US compound hydrometeorological extremes with Madden-Julian oscillation and ENSO interaction J. Wang et al. https://doi.org/10.1038/s43247-024-01449-w
444. A Regime‐Based Investigation Into the Errors of CMIP6 Simulated Cloud Radiative Effects Using Satellite Observations H. Miao et al. https://doi.org/10.1029/2021GL095399
445. Brief communication: Intercomparison study reveals pathways for improving the representation of sea-ice biogeochemistry in models L. Tedesco et al. https://doi.org/10.5194/tc-20-723-2026
446. Predicting suitable habitats of parasitic desert species based on Biomod2 ensemble model: Cynomorium songaricum rupr and its host plants as an example L. Yang et al. https://doi.org/10.1186/s12870-025-06370-8
447. Atmospheric River Response to Arctic Sea Ice Loss in the Polar Amplification Model Intercomparison Project W. Ma et al. https://doi.org/10.1029/2021GL094883
448. AI for climate impacts: applications in flood risk A. Jones et al. https://doi.org/10.1038/s41612-023-00388-1
449. Instantaneous heating rate forcing differentiates tropical high-cloud adjustments across greenhouse gases Y. Chen et al. https://doi.org/10.1126/sciadv.aef7462
450. So What Is in an Earth System Model? C. Jones https://doi.org/10.1029/2019MS001967
451. Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium J. Bühler et al. https://doi.org/10.5194/cp-17-985-2021
452. Low genetic diversity and future challenges for the Caspian bent-toed gecko (Tenuidactylus caspius) in a changing climate S. Saljooghi Mofrad et al. https://doi.org/10.1016/j.jcz.2025.01.002
453. Mountain ecosystem services under a changing climate: A global perspective S. Ioan et al. https://doi.org/10.1016/j.ecoser.2025.101732
454. Changes in How Climate Forces the Vegetation of Southern Africa S. Higgins et al. https://doi.org/10.1007/s10021-023-00860-2
455. Future Projection of Water Resources of Ruzizi River Basin: What Are the Challenges for Management Strategy? B. Ahana et al. https://doi.org/10.3390/w16192783
456. An observational equatorial Atlantic Ocean constraint on Indian monsoon precipitation projections M. Shamal & J. Sanjay https://doi.org/10.1007/s00382-021-05703-1
457. Understanding uncertainties in projections of western North Pacific tropical cyclogenesis X. Huang et al. https://doi.org/10.1088/1748-9326/ad02ad
458. Data-driven integrated assessment of global wild-caught seafood exported to Hong Kong by 2030 in different representative concentration and shared socioeconomic pathways Z. Lu https://doi.org/10.1016/j.accre.2022.05.002
459. Projected changes in extreme rainfall events over West Africa and its sub-regions: a multi-scenario climate analysis O. Ilori & D. Adeyewa https://doi.org/10.1007/s00703-025-01081-z
460. CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation B. He et al. https://doi.org/10.1007/s00376-019-9027-8
461. Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model M. Thomas et al. https://doi.org/10.5194/gmd-17-6903-2024
462. Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models T. Rohr et al. https://doi.org/10.1038/s43247-023-00871-w
463. Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. https://doi.org/10.1002/ppp.2269
464. An assessment of historical and future meteorological droughts in the tropical rainforest of Borneo, Indonesia A. Indriyawati & M. Zaki https://doi.org/10.1088/1755-1315/1477/1/012045
465. Understanding of CMIP6 surface temperature cold bias over the westerly and monsoon regions of the Tibetan Plateau F. Wu et al. https://doi.org/10.1007/s00382-024-07122-4
466. Contributions of Climate Changes in Temperature and Salinity to the Formation of North Atlantic Thermohaline Circulation Trends in 1951–2017 V. Bagatinsky & N. Diansky https://doi.org/10.3103/S0027134922030043
467. Integrating Climate Modelling, Downscaling, and Bias Correction for Drought Studies: Current Approaches and Future Directions C. Naresh & A. Mathew https://doi.org/10.1007/s11269-026-04843-5
468. Comparison of CMIP6 model performance in estimating human thermal load in Europe in the winter season Z. Szalkai et al. https://doi.org/10.1002/joc.8526
469. Potential for bias in effective climate sensitivity from state-dependent energetic imbalance B. Sanderson & M. Rugenstein https://doi.org/10.5194/esd-13-1715-2022
470. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. https://doi.org/10.1029/2021JD035198
471. Future growth and decline of high mountain Asia's ice-dammed lakes and associated risk L. Compagno et al. https://doi.org/10.1038/s43247-022-00520-8
472. Projected changes in Antarctic daily temperature in CMIP6 under different warming scenarios during two future periods J. Zhu et al. https://doi.org/10.1071/ES22008
473. A global transition to flash droughts under climate change X. Yuan et al. https://doi.org/10.1126/science.abn6301
474. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. https://doi.org/10.1029/2023AV001024
475. Future precipitation projections and model evaluation in the Hengduan Mountains based on CMIP6 Z. Hu et al. https://doi.org/10.1016/j.jenvman.2025.125378
476. Taking climate model evaluation to the next level V. Eyring et al. https://doi.org/10.1038/s41558-018-0355-y
477. Climate change negative effects on the Neotropical fishery resources may be exacerbated by hydroelectric dams L. Peluso et al. https://doi.org/10.1016/j.scitotenv.2022.154485
478. Projections of wind climate and wave energy resources in Lithuanian territorial waters of the Baltic Sea in the 21st century D. Jakimavičius & V. Akstinas https://doi.org/10.1016/j.oceano.2023.06.004
479. Predictability of temperature extremes in multi-annual forecasts E. Tsartsali et al. https://doi.org/10.1088/1748-9326/adfa3c
480. Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model T. Lurton et al. https://doi.org/10.1029/2019MS001940
481. Long-term projection of future climate change over the twenty-first century in the Sahara region in Africa under four Shared Socio-Economic Pathways scenarios Q. Guo et al. https://doi.org/10.1007/s11356-022-23813-z
482. Regional drying over the Western U.S. driven by enhanced atmospheric subsidence amid global moistening from 1980 to 2020 Q. Ding et al. https://doi.org/10.1038/s41467-026-71818-w
483. The Phase‐Locking of Tropical North Atlantic and the Contribution of ENSO H. Chen et al. https://doi.org/10.1029/2021GL095610
484. Evaluating the impact of extreme climate events on crop yields under future climate scenarios H. Zhang et al. https://doi.org/10.1016/j.jclepro.2026.148099
485. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. https://doi.org/10.5194/gmd-17-2387-2024
486. A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value? J. Boé et al. https://doi.org/10.1007/s00382-022-06552-2
487. Assessing future changes in daily precipitation tails over India: insights from multimodel assessment of CMIP6 GCMs N. Gupta & S. Chavan https://doi.org/10.1007/s00704-024-04849-2
488. Observed humidity trends in dry regions contradict climate models I. Simpson et al. https://doi.org/10.1073/pnas.2302480120
489. The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations P. Coye & A. Willitsford https://doi.org/10.1038/s41598-025-99306-z
490. The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation A. Wootten et al. https://doi.org/10.3390/cli8120138
491. Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature M. Litzow et al. https://doi.org/10.1088/1748-9326/ad0c88
492. Land-atmosphere interactions mitigate the direct surface-drying effects of land use and cover change L. Yu et al. https://doi.org/10.1016/j.oneear.2025.101210
493. EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 2: Model application to different datasets J. Quinting et al. https://doi.org/10.5194/gmd-15-731-2022
494. Empirical assessment of the role of the Sun in climate change using balanced multi-proxy solar records N. Scafetta https://doi.org/10.1016/j.gsf.2023.101650
495. Response of discharge in the Upper Yellow River Basin to changing climate over the long time period (1850–2023) Z. Chen et al. https://doi.org/10.2166/wcc.2025.680
496. Impacts of climate change on land suitability of key crops in New Zealand B. Hamon et al. https://doi.org/10.1038/s41598-026-49178-8
497. Impacts of changes in climate, land use, and emissions on global ozone air quality by mid-21st century following selected Shared Socioeconomic Pathways H. Bhattarai et al. https://doi.org/10.1016/j.scitotenv.2023.167759
498. Grassland vulnerability to climate change varies by region and season through productivity-stability trade-offs E. Kokah et al. https://doi.org/10.1016/j.eja.2026.128032
499. Prospect of Increased Disruption to the QBO in a Changing Climate J. Anstey et al. https://doi.org/10.1029/2021GL093058
500. Assessing CMIP6 Model Accuracy in Capturing Wind Speed Variability During Indian Ocean Dipole Events R. Prasad et al. https://doi.org/10.1007/s00024-025-03823-x
501. Detectable Human Influence on Daytime-Nighttime Compound Heat Waves over China W. Xie et al. https://doi.org/10.1007/s00376-026-5473-2
502. The impact of precipitation evaporation on the atmospheric aerosol distribution in EC-Earth v3.2.0 M. de Bruine et al. https://doi.org/10.5194/gmd-11-1443-2018
503. Incorporating climate adaptation into future road infrastructure maintenance costs P. Zhang et al. https://doi.org/10.1016/j.geosus.2026.100479
504. A comparative study on habitat models for adult bigeye tuna in the Indian Ocean based on gridded tuna longline fishery data T. Zhang et al. https://doi.org/10.1111/fog.12539
505. Methodological Framework for the Evaluation of Climate Change Impacts on Rural Basins Using the GR2M Model I. Kourtis et al. https://doi.org/10.1007/s40710-025-00755-5
506. Decomposing Fast and Slow Responses of Global Cloud Cover to Quadrupled CO2 Forcing in CMIP6 Models X. Zhou et al. https://doi.org/10.3390/atmos14040653
507. Tropical Cyclone Frequency Under Varying SSTs in Aquaplanet Simulations A. Burnett et al. https://doi.org/10.1029/2020GL091980
508. Climate, ecosystems, and planetary futures: The challenge to predict life in Earth system models G. Bonan & S. Doney https://doi.org/10.1126/science.aam8328
509. The Benefits of Continuous Local Regression for Quantifying Global Warming D. Clarke & M. Richardson https://doi.org/10.1029/2020EA001082
510. Recalibrated projections of the Hadley circulation under global warming M. Wu et al. https://doi.org/10.1088/1748-9326/ad751f
511. How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes? M. Donat et al. https://doi.org/10.1029/2022GL102466
512. Signal‐To‐Noise Calculations of Emergence and De‐Emergence of Stratospheric Ozone Depletion F. Robertson et al. https://doi.org/10.1029/2023GL104246
513. Future scenarios of risk of Vibrio infections in a warming planet: a global mapping study J. Trinanes & J. Martinez-Urtaza https://doi.org/10.1016/S2542-5196(21)00169-8
514. A comparative analysis of the attribution of extreme summer precipitation in south and north parts of the East China monsoon region—with the year 2020 as an example R. Li et al. https://doi.org/10.1002/joc.8260
515. Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al. https://doi.org/10.5194/bg-21-5321-2024
516. Decadal Predictions of the Probability of Occurrence for Warm Summer Temperature Extremes L. Borchert et al. https://doi.org/10.1029/2019GL085385
517. AR6 updates to RF by GHGs and aerosols lowers the probability of accomplishing the Paris Agreement compared to AR5 formulations E. Farago et al. https://doi.org/10.5194/esd-16-1739-2025
518. Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer https://doi.org/10.5194/acp-24-1587-2024
519. The Role of Mid‐latitude Westerly Jet in the Impacts of November Ural Blocking on Early‐Winter Warmer Arctic‐Colder Eurasia Pattern X. Xu et al. https://doi.org/10.1029/2022GL099096
520. Widespread shift toward extreme dominated precipitation with pronounced trends in arid and mediterranean regions M. Zaerpour et al. https://doi.org/10.1038/s41598-026-47708-y
521. Links between winter dust over the Tibetan Plateau and preceding autumn sea ice variability in the Barents and Kara Seas C. Xu et al. https://doi.org/10.1016/j.accre.2022.10.003
522. Future Projections of the El Niño—Southern Oscillation and Tropical Pacific Mean State in CMIP6 N. Erickson & C. Patricola https://doi.org/10.1029/2022JD037563
523. Assessing Potential Evapotranspiration Methods in Future Drought Projections across Canada B. Tam et al. https://doi.org/10.1080/07055900.2023.2288632
524. Climate change reduces pelagic biomass in a coastal upwelling ecosystem L. Nunes et al. https://doi.org/10.1038/s43247-026-03395-1
525. Contribution of external forcing to summer precipitation trends over the Qinghai–Tibet Plateau and Southwest China Y. Xiang et al. https://doi.org/10.1016/j.aosl.2023.100388
526. Prediction of Future Chlorophyll‐a Concentrations in Large Eutrophic Shallow Lakes Under Multiple Stressors Z. Wei et al. https://doi.org/10.1029/2024EF005293
527. Ocean Model Formulation Influences Transient Climate Response T. Semmler et al. https://doi.org/10.1029/2021JC017633
528. Applying deep learning to a chemistry-climate model for improved ozone prediction Z. Liu et al. https://doi.org/10.5194/acp-25-16969-2025
529. Reduced global warming from CMIP6 projections when weighting models by performance and independence L. Brunner et al. https://doi.org/10.5194/esd-11-995-2020
530. Recent Changes of Pacific Decadal Variability Shaped by Greenhouse Forcing and Internal Variability W. Sun et al. https://doi.org/10.1029/2021JD035812
531. Characterising the range and outliers in CMIP6 multi-model climate projections of extremes P. Pall & A. King https://doi.org/10.1088/1748-9326/ae293a
532. Representation of land–atmosphere coupling processes over Africa in coupled model intercomparison project Phase 6 A. Mwanthi et al. https://doi.org/10.1007/s00382-023-06710-0
533. CMIP6-based temperature and precipitation projections under SSP scenarios in the data-scarce Oti River Basin, West Africa: Bias correction, future trends, and its implications for water resources and agriculture I. Bainin et al. https://doi.org/10.1016/j.indic.2026.101390
534. Model spread in multidecadal North Atlantic Oscillation variability connected to stratosphere–troposphere coupling R. Bonnet et al. https://doi.org/10.5194/wcd-5-913-2024
535. Climate change exacerbates the compounding of heat stress and flooding in the mid‐latitudes D. Treppiedi et al. https://doi.org/10.1002/joc.8453
536. Dispersal abilities favor commensalism in animal-plant interactions under climate change P. Lemes et al. https://doi.org/10.1016/j.scitotenv.2022.155157
537. Two Competing Drivers of the Recent Walker Circulation Trend M. Watanabe et al. https://doi.org/10.1029/2023GL105332
538. Recent Changes in the ISBA‐CTRIP Land Surface System for Use in the CNRM‐CM6 Climate Model and in Global Off‐Line Hydrological Applications B. Decharme et al. https://doi.org/10.1029/2018MS001545
539. The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble Z. Ma et al. https://doi.org/10.3390/rs14051097
540. Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
541. Net release of CO 2 from thawing permafrost soil carbon predicted to occur earlier in this century Y. Xi et al. https://doi.org/10.1126/sciadv.adz8478
542. Drought assessment and development trend in Mu Us Sandy Land based on standardized precipitation and potential evapotranspiration index L. Li’e et al. https://doi.org/10.1016/j.cliser.2025.100588
543. Spatio-temporal correspondence of aerosol optical depth between CMIP6 simulations and MODIS retrievals over India B. Jaisankar et al. https://doi.org/10.1007/s11356-024-32314-0
544. The underestimation of spring precipitation over South China is caused by the weak simulations of the dynamic motion in CMIP6 models Y. Ai et al. https://doi.org/10.1002/joc.7991
545. Sources of Uncertainty in Multimodel Large Ensemble Projections of the Winter North Atlantic Oscillation C. McKenna & A. Maycock https://doi.org/10.1029/2021GL093258
546. ENSO Diversity and the Simulation of Its Teleconnections to Winter Precipitation Extremes Over the US in High Resolution Earth System Models S. Mahajan et al. https://doi.org/10.1029/2022GL102657
547. Does Increasing Climate Model Horizontal Resolution Be Beneficial for the Mediterranean Region?: Multimodel Evaluation Framework for High‐Resolution Model Intercomparison Project A. Mishra et al. https://doi.org/10.1029/2022JD037812
548. A Statistical Approach on Estimations of Climate Change Indices by Monthly Instead of Daily Data K. Hasel et al. https://doi.org/10.3390/atmos14111634
549. Contribution of anthropogenic influence to the 2022-like Yangtze River valley compound heatwave and drought event D. Chen et al. https://doi.org/10.1038/s41612-024-00720-3
550. Enhancing hydropower resilience through dynamic rule curve modifications under climate change in the Sunkoshi multipurpose scheme, Nepal R. Regmi et al. https://doi.org/10.1038/s41598-025-19252-8
551. Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. https://doi.org/10.1088/1748-9326/ac0748
552. Assessing the vulnerability of a sky island lizard to climate and land-use change J. Mella-Romero et al. https://doi.org/10.3897/herpetozoa.37.e125163
553. Interdecadal change in the relationship between the Pacific Meridional Mode and landfalling tropical cyclone frequency in China X. Wei et al. https://doi.org/10.1007/s00382-023-06998-y
554. Ozone mitigates extended growing season and enhanced vegetation greenness driven by environmental change H. Yin et al. https://doi.org/10.1038/s41467-026-71959-y
555. Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. https://doi.org/10.5194/esd-14-1333-2023
556. Correcting Observational Biases in Sea Surface Temperature Observations Removes Anomalous Warmth during World War II D. Chan & P. Huybers https://doi.org/10.1175/JCLI-D-20-0907.1
557. Warming-induced intensifying compound hot-dry events lead to disproportionate losses in vegetation productivity J. Liu et al. https://doi.org/10.1007/s00704-026-06466-7
558. Could detection and attribution of climate change trends be spurious regression? D. Cummins et al. https://doi.org/10.1007/s00382-022-06242-z
559. Standardising the “Gregory method” for calculating equilibrium climate sensitivity A. Zehrung et al. https://doi.org/10.5194/gmd-18-9433-2025
560. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-501-2021
561. Evaluation of global ocean–sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) H. Tsujino et al. https://doi.org/10.5194/gmd-13-3643-2020
562. Present-day and future PM2.5 and O3-related global and regional premature mortality in the EVAv6.0 health impact assessment model U. Im et al. https://doi.org/10.1016/j.envres.2022.114702
563. Different climate response persistence causes warming trend unevenness at continental scales Q. Li et al. https://doi.org/10.1038/s41558-022-01313-9
564. Radiative Energy Budget for East Asia Based on GK-2A/AMI Observation Data I. Zo et al. https://doi.org/10.3390/rs15061558
565. The growing inadequacy of an open-ended Saffir–Simpson hurricane wind scale in a warming world M. Wehner & J. Kossin https://doi.org/10.1073/pnas.2308901121
566. Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings A. Patra et al. https://doi.org/10.1038/s41597-023-02228-6
567. Higher Antarctic ice sheet accumulation and surface melt rates revealed at 2 km resolution B. Noël et al. https://doi.org/10.1038/s41467-023-43584-6
568. Assessing climate change effects on meteorological drought in the extra-arid climate of Bandar Abbas, Iran, using CMIP6 and a multivariable standard precipitation index (MSPI) S. Rahnama & M. Yaghoobzadeh https://doi.org/10.2166/wcc.2025.202
569. Evaluation and Projection of the Influence of the August Asian–Pacific Oscillation on Precipitation in Northern Xinjiang Based on CMIP6 Simulations Y. Zhu & W. Hua https://doi.org/10.3390/atmos17010009
570. Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. https://doi.org/10.5194/esd-15-987-2024
571. Future Climate Changes as Simulated by the Multi-purpose System for Modeling and Regional Climate Projections over Russia (MSMRCP-R) A. Pikaleva et al. https://doi.org/10.3103/S1068373925090080
572. Risk assessment of Panonychus ulmi to global temperate fruit production under climate change Z. Fan et al. https://doi.org/10.1007/s10493-026-01170-7
573. The Representation of Soil Moisture-Atmosphere Feedbacks across the Tibetan Plateau in CMIP6 J. Talib et al. https://doi.org/10.1007/s00376-023-2296-2
574. Interannual Variability in the Stratosphere–Troposphere Exchange of Air Mass and Ozone in Chemistry Climate Models A. Hall et al. https://doi.org/10.3390/cli14100205
575. The wet and stormy UK winter of 2019/2020 P. Davies et al. https://doi.org/10.1002/wea.3955
576. Logic Augmented Generation A. Gangemi & A. Nuzzolese https://doi.org/10.1016/j.websem.2024.100859
577. Atlantic salmon (Salmo salar) aquaculture in a changing climate: Quantitative insights from industry records and climate projections T. Leeuwen et al. https://doi.org/10.1111/jfb.70655
578. Expected prevalence of the facultative parasitoid Megaselia scalaris of honey bees in Africa and the Mediterranean region under climate change conditions H. Abou-Shaara & A. Darwish https://doi.org/10.1007/s42690-021-00508-5
579. Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach J. He et al. https://doi.org/10.1016/j.apenergy.2022.120290
580. Data-driven equation discovery of a sea ice albedo parametrisation D. Atmojo et al. https://doi.org/10.5194/tc-20-4437-2026
581. Revealing Spatiotemporal Characteristics of Global Seismic Thermal Anomalies: Framework Based on Annual Energy Balance and Geospatial Constraints P. Yang et al. https://doi.org/10.3390/rs18020290
582. How could 50 °C be reached in Paris: Analyzing the CMIP6 ensemble to design storylines for adaptation P. Yiou et al. https://doi.org/10.1016/j.cliser.2024.100518
583. CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization A. Georgoulias et al. https://doi.org/10.3390/rs18040586
584. Evaluation of General Circulation Models CMIP6 Performance and Future Climate Change over the Omo River Basin, Ethiopia T. Feyissa et al. https://doi.org/10.3390/su15086507
585. Simulation and projection of the sudden stratospheric warming events in different scenarios by CESM2-WACCM Z. Liang et al. https://doi.org/10.1007/s00382-022-06293-2
586. Assessment of Antarctic Sea Ice Cover in CMIP6 Prediction with Comparison to AMSR2 during 2015–2021 S. Li et al. https://doi.org/10.3390/rs15082048
587. Understanding droughts under climate change in South America based on severity-duration-frequency curves and drought atlases N. Merz & M. Zachariah https://doi.org/10.1007/s10584-025-04015-1
588. Sea level rise and coastal flooding risks in the Gulf of Guinea F. Ghomsi et al. https://doi.org/10.1038/s41598-024-80748-w
589. The need to operationalize climate modelling C. Jakob et al. https://doi.org/10.1038/s41558-023-01849-4
590. Reaching 1.5 and 2.0 °C global surface temperature targets using stratospheric aerosol geoengineering S. Tilmes et al. https://doi.org/10.5194/esd-11-579-2020
591. New trend of studying desert evolution and desertification H. Lu https://doi.org/10.1007/s11430-024-1571-9
592. Projected climate change and its influence on watershed hydrology: A case study of Suketi watershed, Himachal Pradesh M. Upadhyay et al. https://doi.org/10.1016/j.pce.2026.104401
593. Arctic black carbon during PAMARCMiP 2018 and previous aircraft experiments in spring S. Ohata et al. https://doi.org/10.5194/acp-21-15861-2021
594. The historical to future linkage of Arctic amplification on extreme precipitation over the Northern Hemisphere using CMIP5 and CMIP6 models J. Liu et al. https://doi.org/10.1016/j.accre.2024.07.008
595. Variability in Biomass Burning Emissions Weakens Aerosol Forcing Due To Nonlinear Aerosol‐Cloud Interactions K. Heyblom et al. https://doi.org/10.1029/2022GL102685
596. Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. https://doi.org/10.1002/joc.8485
597. Increased background precipitation masks the moisture deficit caused by crop greening in Northeast China L. Yu et al. https://doi.org/10.1016/j.jhydrol.2023.129857
598. Global Carbon Budget 2022 P. Friedlingstein et al. https://doi.org/10.5194/essd-14-4811-2022
599. Winter Cloudy Days Will Diminish Over China Under Global Warming H. Tan et al. https://doi.org/10.1029/2023EF004030
600. A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al. https://doi.org/10.1002/asl.1268
601. An assessment of CMIP6 climate signals and biases in temperature, precipitation and soil moisture over Europe A. Ossó et al. https://doi.org/10.1002/joc.8169
602. Legacies of millennial-scale climate oscillations in contemporary biodiversity in eastern North America D. Fastovich et al. https://doi.org/10.1098/rstb.2023.0012
603. A post-fire reforestation assessment and prioritization tool for the Western United States Z. Holden et al. https://doi.org/10.1186/s42408-025-00405-z
604. Forced trends and internal variability in climate change projections of extreme European windstorm frequency and severity M. Priestley et al. https://doi.org/10.1002/qj.4849
605. Projected Climate Change Scenarios Spatially Decouple Desert Extrafloral Nectary–Bearing Plant–Ant Interactions J. Braun & C. Lortie https://doi.org/10.1111/jbi.70039
606. North Atlantic fingerprint on severe heatwaves over the Indian region S. Marathe et al. https://doi.org/10.1002/qj.70061
607. Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction H. Peng et al. https://doi.org/10.1109/JSTARS.2023.3308033
608. Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario P. Vaittinada Ayar et al. https://doi.org/10.5194/esd-13-1097-2022
609. Coastal warming under climate change: Global, faster and heterogeneous R. Varela et al. https://doi.org/10.1016/j.scitotenv.2023.164029
610. Wind Power Density Projections for the Indian Offshore Region: Annual and Seasonal Changes G. Nagababu https://doi.org/10.61453/INTIj.202565
611. Baroclinic Wave Simulation Ensemble: a Machine Learning ready dataset C. Bouvier et al. https://doi.org/10.1038/s41597-025-06089-z
612. The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6 D. Zanchettin et al. https://doi.org/10.5194/gmd-9-2701-2016
613. Assessing the impact of a future volcanic eruption on decadal predictions S. Illing et al. https://doi.org/10.5194/esd-9-701-2018
614. Convection-permitting climate simulations using SINGV-RCM and WRF over the Maritime Continent V. Prasanna et al. https://doi.org/10.1007/s00382-026-08193-1
615. Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate R. Séférian et al. https://doi.org/10.1029/2019MS001791
616. Surface air temperature change on the Tibetan Plateau under global net-zero emission scenarios J. WANG et al. https://doi.org/10.1016/j.accre.2026.01.007
617. National attribution of historical climate damages C. Callahan & J. Mankin https://doi.org/10.1007/s10584-022-03387-y
618. Magnetically redirected cryo-electric harvesting from charged snowflakes: A theoretical framework for energy amid storm mitigation Y. Li https://doi.org/10.1016/j.enconman.2026.122003
619. Projected Intensification and Persistence of Drought in Southeastern Anatolia, Turkey: A Multi-Index Analysis Based on CMIP6 Multi-Model Ensemble Projections E. Yalcin et al. https://doi.org/10.1007/s00024-026-04017-9
620. Spatio-temporal trend and frequency analysis of precipitation in South-southern Nigeria (SSN) A. Ogunrinde et al. https://doi.org/10.3354/cr01698
621. Targeted conservation assessment of the climate-sensitive, poorly known Pilbara barking gecko (Underwoodisaurus seorsus) R. Audcent et al. https://doi.org/10.1071/PC25099
622. Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. https://doi.org/10.1134/S0001433823040059
623. Stressors of primary productivity in the north Indian ocean revealed by satellite, reanalysis and CMIP6 data N. Sunanda et al. https://doi.org/10.1016/j.pocean.2023.103164
624. A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses L. Zhou & R. Zhang https://doi.org/10.1007/s00376-021-1368-4
625. Present and Future Flood Hazard in the Lower Columbia River Estuary: Changing Flood Hazards in the Portland‐Vancouver Metropolitan Area L. Helaire et al. https://doi.org/10.1029/2019JC015928
626. Long-term rainfall projection based on CMIP6 scenarios for Kurau River Basin of rice-growing irrigation scheme, Malaysia M. Adib et al. https://doi.org/10.1007/s42452-022-04952-x
627. ENSO’s changing grip on Bering Sea ice: The emerging control of the North Pacific meridional mode J. Chen et al. https://doi.org/10.1126/sciadv.ady2329
628. Origins of the decadal predictability of East Asian winter monsoon J. Li et al. https://doi.org/10.1007/s00382-026-08224-x
629. The effect of initialisation on 20 year multi-decadal climate predictions A. Düsterhus & S. Brune https://doi.org/10.1007/s00382-023-06941-1
630. The IPWP as a capacitor for autumn sea ice loss in Northeastern Canada L. Yu et al. https://doi.org/10.1038/s41612-024-00798-9
631. K-ACE2: Model Overview and Evaluation of Pre-industrial Climate H. Lee et al. https://doi.org/10.1007/s13143-026-00455-6
632. Projected temperature and precipitation changes under future climate scenarios in the Siak watershed, Indonesia . Mashuri et al. https://doi.org/10.1016/j.nbsj.2026.100309
633. Dynamic and Thermodynamic Contributions to Future Extreme‐Rainfall Intensification: A Case Study for Belgium J. Schoofs et al. https://doi.org/10.1002/joc.70192
634. Dual-Pathway Superposition: Independent Forcings of Spring Indian Ocean SST and Summer Tibetan Plateau Heating on Middle and Lower Yangtze Rainfall M. Li et al. https://doi.org/10.3390/atmos17040414
635. Multilayer soil moisture depletion intensifies drought impacts on global ecosystems X. Gu et al. https://doi.org/10.1038/s41561-026-02083-1
636. Dynamic Frost Heave Susceptibility of Loess Under Climate Change: A Physics-Constrained Machine Learning Framework Integrating SFCC Prior Knowledge and CMIP6 Projections Y. Bai et al. https://doi.org/10.3390/w18172129
637. Regional Characteristics of Variability in the Northern Hemisphere Wintertime Polar Front Jet and Subtropical Jet in Observations and CMIP6 Models X. Liu et al. https://doi.org/10.1029/2021JD034876
638. A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways S. Joshi et al. https://doi.org/10.1038/s41598-023-30555-6
639. An Assessment of CAMS-CSM in Simulating Land–Atmosphere Heat and Water Exchanges G. Zhang et al. https://doi.org/10.1007/s13351-018-8055-0
640. Effects of Climate Change on the Habitat Suitability and Distribution of Endemic Freshwater Fish Species in Semi-Arid Central Anatolian Ecoregion in Türkiye M. Korkmaz et al. https://doi.org/10.3390/w15081619
641. Energy system vulnerabilities in a zero-emission grid: The role of climate variability and technology uncertainty M. Liu et al. https://doi.org/10.1016/j.energy.2025.137937
642. Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. https://doi.org/10.5194/bg-19-4779-2022
643. Increasing certainty in projected local extreme precipitation change C. Li et al. https://doi.org/10.1038/s41467-025-56235-9
644. Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP C. Roberts et al. https://doi.org/10.5194/gmd-11-3681-2018
645. Quantifying the impact of climate and management strategies on groundwater conservation in the High Plains Aquifer Z. Xiang et al. https://doi.org/10.1016/j.scitotenv.2025.179656
646. Pacific Equatorial Undercurrent: Mean state, sources, and future changes across models A. Stellema et al. https://doi.org/10.3389/fclim.2022.933091
647. Spatiotemporal Simulation Prediction and Driving Force Analysis of Carbon Storage in the Sanjiangyuan Region Based on SSP-RCP Scenarios Z. Li et al. https://doi.org/10.3390/su17167391
648. The disappearing Antilles Current dominates the weakening meridional heat transport in the North Atlantic Ocean under global warming J. Cai et al. https://doi.org/10.1088/1748-9326/ad3567
649. Relationship between the Indo-western Pacific Ocean capacitor mode and Indian summer monsoon rainfall in CMIP6 models P. Darshana et al. https://doi.org/10.1007/s00382-021-06133-9
650. Persistent effect of El Niño on global economic growth C. Callahan & J. Mankin https://doi.org/10.1126/science.adf2983
651. Time Variability Correction of CMIP6 Climate Change Projections Y. Shao et al. https://doi.org/10.1029/2023MS003640
652. Contribution of physical latent knowledge to the emulation of an atmospheric physics model: a study based on the LMDZ Atmospheric General Circulation Model S. Crossouard et al. https://doi.org/10.5194/gmd-19-5907-2026
653. Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources A. Noel et al. https://doi.org/10.1016/j.foreco.2025.123075
654. How Long Can the MJO be Predicted During the Combined Phases of ENSO and QBO? C. Mengist & K. Seo https://doi.org/10.1029/2022GL097752
655. Projections and uncertainty analysis of socioeconomic exposure to compound dry and hot events under 1.5℃ and 2.0℃ warming levels across China G. Zhang et al. https://doi.org/10.1007/s00704-024-05085-4
656. Case study on climate change effects and food security in Southeast Asia D. Taniushkina et al. https://doi.org/10.1038/s41598-024-65140-y
657. Changes in regional daily precipitation intensity and spatial structure from global reanalyses C. Lussana et al. https://doi.org/10.1002/joc.8375
658. Pacific Walker Circulation strengthened by tropospheric aerosol forcing T. Ying et al. https://doi.org/10.1038/s41612-026-01442-4
659. Evapotranspiration responses to CO2 and its driving mechanisms in four ecosystems based on CMIP6 simulations: Forest, shrub, farm and grass T. Lu et al. https://doi.org/10.1016/j.envres.2023.115417
660. Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6 Y. Wang et al. https://doi.org/10.1016/j.ins.2023.119106
661. Long-term change in low-cloud cover in Southeast China during cold seasons Z. Chen et al. https://doi.org/10.1016/j.aosl.2022.100222
662. Anthropogenic sulfate-climate interactions suppress dust activity over East Asia X. Xie et al. https://doi.org/10.1038/s43247-025-02147-x
663. Multidecadal Projection of Annual Precipitation in Iran Using Spatially Bias‐Adjusted ARIMA Models H. Asakereh et al. https://doi.org/10.1002/met.70236
664. Unveiling Climate Trends and Future Projections in Southeastern Brazil: A Case Study of Brazil’s Historic Agricultural Heritage L. Santos et al. https://doi.org/10.3390/su16114811
665. Assessment of drought hazard change in China under 2°C, 3°C and 4°C temperature rise scenarios based on CMIP6 models X. Zhu et al. https://doi.org/10.1080/19475705.2025.2455491
666. A comparison of multiple statistically downscaled climate change datasets for the conterminous USA J. Kim et al. https://doi.org/10.1088/2515-7620/aca3ee
667. Improving thermodynamic nudging in the E3SM Atmosphere Model version 2 (EAMv2): strategy and hindcast skills on weather systems S. Zhang et al. https://doi.org/10.5194/gmd-19-1937-2026
668. Agrivoltaic System Potential to Mitigate Effects of Climate Change in Viticulture N. Hanrieder et al. https://doi.org/10.1002/aesr.70185
669. Modelling impacts of climate change and anthropogenic activities on inflows and sediment loads of wetlands: case study of the Anzali wetland M. Mahdian et al. https://doi.org/10.1038/s41598-023-32343-8
670. Geostrophic flows control future changes of oceanic eastern boundary upwelling Z. Jing et al. https://doi.org/10.1038/s41558-022-01588-y
671. Past and future response of the North Atlantic warming hole to anthropogenic forcing S. Qasmi https://doi.org/10.5194/esd-14-685-2023
672. Decadal climate predictions with the Canadian Earth System Model version 5 (CanESM5) R. Sospedra-Alfonso et al. https://doi.org/10.5194/gmd-14-6863-2021
673. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. https://doi.org/10.1016/j.gloplacha.2023.104137
674. Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models A. Kalisoras et al. https://doi.org/10.5194/acp-24-7837-2024
675. Climate change increases the interannual variance of summer crop yields globally through changes in temperature and water supply J. Proctor et al. https://doi.org/10.1126/sciadv.ady3575
676. The Shared Socio-economic Pathways: Trajectories for human development and global environmental change D. van Vuuren et al. https://doi.org/10.1016/j.gloenvcha.2016.10.009
677. Enhancing climate projections via machine learning: Multi-model ensemble of precipitation and temperature in the source region of the Yellow River Q. Ju et al. https://doi.org/10.1016/j.jhydrol.2025.133945
678. The ACCESS-AM2 climate model underestimates aerosol concentration in the Southern Ocean; improving aerosol representation could be problematic for the global energy balance S. Fiddes et al. https://doi.org/10.5194/acp-25-16451-2025
679. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. https://doi.org/10.1073/pnas.2200635119
680. Drivers of and uncertainty in Amazon carbon sink long-term and interannual variability in CMIP6 models M. Mastropierro et al. https://doi.org/10.5194/bg-22-5231-2025
681. ESTIMATING CROP PRODUCTION LOSSES DUE TO SEA LEVEL RISE IN COASTAL AREAS OF ASIA-PACIFIC BY 2100 T. BUI et al. https://doi.org/10.2208/journalofjsce.25-27005
682. ENSO Forecasts With Spatiotemporal Fusion Transformer Network A. Zhao et al. https://doi.org/10.1109/JSTARS.2024.3447356
683. Arctic Climate Changes Based on Historical Simulations (1900‒2013) with the CAMS-CSM T. Wei et al. https://doi.org/10.1007/s13351-018-7188-5
684. Fixed Anvil Temperature Feedback: Positive, Zero, or Negative? M. Yoshimori et al. https://doi.org/10.1175/JCLI-D-19-0108.1
685. Impact of poleward heat and moisture transports on Arctic clouds and climate simulation E. Baek et al. https://doi.org/10.5194/acp-20-2953-2020
686. Committed and projected future changes in global peatlands – continued transient model simulations since the Last Glacial Maximum J. Müller & F. Joos https://doi.org/10.5194/bg-18-3657-2021
687. African Hydroclimate During the Early Eocene From the DeepMIP Simulations C. Williams et al. https://doi.org/10.1029/2022PA004419
688. Impact of Stratospheric Aerosol Injection on the East Asian Winter Monsoon Z. Liu et al. https://doi.org/10.1029/2022GL102109
689. Equatorial Atlantic mid-depth warming indicates Atlantic meridional overturning circulation slowdown Q. Ren et al. https://doi.org/10.1038/s43247-025-02793-1
690. Dynamic Financial Analysis (DFA) of general insurers under climate change B. Avanzi et al. https://doi.org/10.1017/asb.2026.10102
691. Forecasting sub-pixel vegetation potential shifts to guide restoration planning for the African Great Green Wall X. Meng et al. https://doi.org/10.1080/15481603.2025.2574730
692. ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections D. Watson‐Parris et al. https://doi.org/10.1029/2021MS002954
693. Linking torrential flood event occurrence to weather-type conditional driving atmospheric conditions — The case of the Northern French Alps J. Blanchet et al. https://doi.org/10.1016/j.ejrh.2025.102402
694. Increasing risk of simultaneous occurrence of flash drought in major global croplands S. Mahto & V. Mishra https://doi.org/10.1088/1748-9326/acc8ed
695. Potential Distribution Prediction and Metabolite Analysis of Clematis tangutica(Maxim.) Korsh. On the Qinghai Plateau H. Zhang et al. https://doi.org/10.1002/ece3.72110
696. Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 A. Voldoire et al. https://doi.org/10.1029/2019MS001683
697. Projections and patterns of heat-related mortality impacts from climate change in Southeast Asia T. Amnuaylojaroen et al. https://doi.org/10.1088/2515-7620/ad3128
698. Climate Benefits of Cleaner Energy Transitions in East and South Asia Through Black Carbon Reduction S. Ramachandran et al. https://doi.org/10.3389/fenvs.2022.842319
699. Insights into spring dust aerosol trends over North China from CMIP6 historical simulations and multi-source observations T. Sha et al. https://doi.org/10.1016/j.atmosres.2026.109163
700. A modeling framework to understand historical and projected ocean climate change in large coupled ensembles Y. Silvy et al. https://doi.org/10.5194/gmd-15-7683-2022
701. Impact of hydroclimatic changes on the operation of water resources systems: a case study of the Cantareira Water Production System J. Tercini & A. Méllo Júnior https://doi.org/10.1590/2318-0331.292420230132
702. Evaluating the climate projections for China through the lens of the simulations of planetary boundary layer height J. Meng et al. https://doi.org/10.1016/j.atmosres.2023.106975
703. Projected changes in thermal bioclimatic indicators over the Middle East and North Africa under Paris climate agreement M. Hamed et al. https://doi.org/10.1007/s00477-022-02275-2
704. Explainable deep learning-based simulation for evaluating climate-driven future groundwater level changes in South Korea J. Hwang & K. Lee https://doi.org/10.1016/j.gsd.2025.101541
705. Soil particulate organic carbon regulates microbial carbon use efficiency in subtropical forests under nitrogen addition in different seasons X. Sun et al. https://doi.org/10.1016/j.apsoil.2024.105680
706. Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up M. Muilwijk et al. https://doi.org/10.1038/s41467-024-50874-0
707. Uncertainty reduction in ENSO periodicity projection based on the Wyrtki index X. Zhao & B. Lu https://doi.org/10.1016/j.dynatmoce.2024.101516
708. Observed influence of anthropogenic climate change on tropical cyclone heavy rainfall N. Utsumi & H. Kim https://doi.org/10.1038/s41558-022-01344-2
709. Machine learning workflows in climate modelling: design patterns and insights from case studies T. Zheng et al. https://doi.org/10.1098/rsta.2025.0254
710. Traditional Meiyu–Baiu has been suspended by global warming Z. Yin et al. https://doi.org/10.1093/nsr/nwae166
711. Future Changes of the Eddy Moisture Convergence in Winter Over Coastal Lands in Eastern North America and East Asia W. Liang & M. Zhang https://doi.org/10.1029/2022JD037149
712. Assessing the compound impacts of urbanization and climate change on flood hazards in rapid urbanized basin: A case study of Chebei River Basin, South China Q. Xu et al. https://doi.org/10.1016/j.ejrh.2025.102942
713. Simulated responses and feedbacks of permafrost carbon under future emissions pathways and idealized solar geoengineering scenarios Y. Chen et al. https://doi.org/10.1088/1748-9326/ad2433
714. A 21st Century Warming Threshold for Sustained Greenland Ice Sheet Mass Loss B. Noël et al. https://doi.org/10.1029/2020GL090471
715. Bayesian quantile mapping and schaake shuffle for precipitation downscaling in arid environments A. Alodah https://doi.org/10.3389/fenvs.2026.1773597
716. The linkage between CMIP5 climate models’ abilities to simulate precipitation and vector winds F. Huang et al. https://doi.org/10.1007/s00382-020-05259-6
717. A clearer view of Southern Ocean air–sea interaction using surface heat flux asymmetry S. Josey et al. https://doi.org/10.1098/rsta.2022.0067
718. Reduced Deep Convection and Bottom Water Formation Due To Antarctic Meltwater in a Multi‐Model Ensemble J. Chen et al. https://doi.org/10.1029/2023GL106492
719. ENSO Dynamics in the E3SM-1-0, CESM2, and GFDL-CM4 Climate Models H. Chen et al. https://doi.org/10.1175/JCLI-D-21-0355.1
720. Future evolution of global land surface air temperature trend based on Coupled Model Intercomparison Project Phase 6 models W. Wu et al. https://doi.org/10.1002/joc.7668
721. Global cropland expansion enhances cropping potential and reduces its inequality among countries X. Liu et al. https://doi.org/10.5194/esd-15-817-2024
722. Projected shifts in climate and spring barley yields under future (CMIP6) scenarios across eight environmental zones in Europe M. Köster et al. https://doi.org/10.1016/j.agrformet.2026.111024
723. Seasonality of the Quasi-biennial Oscillation signal in water vapor in the tropical stratosphere Q. Lu et al. https://doi.org/10.5194/acp-26-5763-2026
724. Low‐Level Marine Tropical Clouds in Six CMIP6 Models Are Too Few, Too Bright but Also Too Compact and Too Homogeneous D. Konsta et al. https://doi.org/10.1029/2021GL097593
725. The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond A. Slangen et al. https://doi.org/10.1017/cft.2022.8
726. Future population exposure to heatwaves in 83 global megacities Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.164142
727. Parametric uncertainty in future projection of global monsoon precipitation: roles of surface warming amplitude versus precipitation sensitivity to warming H. Zhang et al. https://doi.org/10.1007/s00382-026-08380-0
728. Is there warming in the pipeline? A multi-model analysis of the Zero Emissions Commitment from CO2 A. MacDougall et al. https://doi.org/10.5194/bg-17-2987-2020
729. A global perspective on the spatial representation of climate extremes from km-scale models L. Brunner et al. https://doi.org/10.1088/1748-9326/ade1ef
730. A description of model intercomparison processes and techniques for ocean forecasting F. Hernandez et al. https://doi.org/10.5194/sp-5-opsr-17-2025
731. Recent advances in seasonal and multi-annual tropical cyclone forecasting Y. Takaya et al. https://doi.org/10.1016/j.tcrr.2023.09.003
732. Quantifying the statistical dependence of mid-latitude heatwave intensity and likelihood on prevalent physical drivers and climate change J. Zeder & E. Fischer https://doi.org/10.5194/ascmo-9-83-2023
733. Increased occurrences of consecutive La Niña events under global warming T. Geng et al. https://doi.org/10.1038/s41586-023-06236-9
734. A potential explanation for the global increase in tropical cyclone rapid intensification K. Bhatia et al. https://doi.org/10.1038/s41467-022-34321-6
735. Climate Change and Hydrological Extremes J. Xiong & Y. Yang https://doi.org/10.1007/s40641-024-00198-4
736. Evaluation of polar stratospheric clouds in the global chemistry–climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements M. Steiner et al. https://doi.org/10.5194/gmd-14-935-2021
737. Increase in MJO predictability under global warming D. Du et al. https://doi.org/10.1038/s41558-023-01885-0
738. Projection of Future Fire Emissions Over the Contiguous US Using Explainable Artificial Intelligence and CMIP6 Models S. Wang et al. https://doi.org/10.1029/2023JD039154
739. Evaluation of the impact of climate change on the ecological resistance and ecological corridors based on set pair analysis theory Y. Feng et al. https://doi.org/10.1016/j.ecolind.2024.112050
740. Role of Interhemispheric Heat Transport and Global Atmospheric Cooling in Multidecadal Trends of Northern Hemisphere Precipitation S. Yukimoto et al. https://doi.org/10.1029/2022GL100335
741. ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks T. Janoski et al. https://doi.org/10.5194/gmd-18-3065-2025
742. Characteristic changes in climate projections over Indus Basin using the bias corrected CMIP6 simulations K. Koteswara Rao et al. https://doi.org/10.1007/s00382-021-06108-w
743. Future changes in the mean and variability of extreme rainfall indices over the Guinea coast and role of the Atlantic equatorial mode K. Worou et al. https://doi.org/10.5194/wcd-4-511-2023
744. Multi-scenario simulation of runoff and nutrient loads in a rapidly urbanizing watershed during China's Dual Carbon periods J. Wu et al. https://doi.org/10.1016/j.envres.2023.117272
745. Drought‐Induced Weakening of Temperature Control on Ecosystem Carbon Uptake Across Northern Lands H. Wu et al. https://doi.org/10.1111/gcb.70032
746. Effects of climate change and adaptive options for maize–wheat rotations in the North China Plain: a model-based evaluation L. Meng et al. https://doi.org/10.3389/fagro.2025.1736278
747. Aerosol-induced surface cooling elevates relative humidity on the Indo-Gangetic Plain J. Park et al. https://doi.org/10.1038/s43247-025-02513-9
748. Explaining and predicting the Southern Hemisphere eddy-driven jet J. Mindlin et al. https://doi.org/10.1073/pnas.2500697122
749. Reducing uncertainty in surface solar radiation projections over the Northern Hemisphere using a hierarchical emergent constraint: Insights from CMIP6 and observation reconstruction B. Jiao et al. https://doi.org/10.1016/j.atmosres.2025.108594
750. Internal variability and forcing influence model–satellite differences in the rate of tropical tropospheric warming S. Po-Chedley et al. https://doi.org/10.1073/pnas.2209431119
751. Millennium time-scale experiments on climate-carbon cycle with doubled CO2 concentration T. Hajima et al. https://doi.org/10.1186/s40645-020-00350-2
752. Amplified warming of extreme temperatures over tropical land M. Byrne https://doi.org/10.1038/s41561-021-00828-8
753. Investigating the multi-millennial evolution and stability of the Greenland ice sheet using remapped surface mass balance forcing C. Rahlves et al. https://doi.org/10.5194/tc-19-6403-2025
754. Navigating optimal solar-wind trade-offs under climate change J. Li et al. https://doi.org/10.1038/s41467-026-75879-9
755. TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. https://doi.org/10.5194/amt-17-2611-2024
756. Computation of longwave radiative flux and vertical heating rate with 4A-Flux v1.0 as an integral part of the radiative transfer code 4A/OP v1.5 Y. Tellier et al. https://doi.org/10.5194/gmd-15-5211-2022
757. MJO Propagation Across the Maritime Continent: Are CMIP6 Models Better Than CMIP5 Models? M. Ahn et al. https://doi.org/10.1029/2020GL087250
758. The Deep Ocean Observing Strategy: Addressing Global Challenges in the Deep Sea Through Collaboration L. Smith et al. https://doi.org/10.4031/MTSJ.56.3.11
759. Plant phenology changes and drivers on the Qinghai–Tibetan Plateau M. Shen et al. https://doi.org/10.1038/s43017-022-00317-5
760. Evaluation of the Carbon Sink Capacity of the Proposed Kunlun Mountain National Park L. Zhao et al. https://doi.org/10.3390/ijerph19169887
761. ENSO diversity shows robust decadal variations that must be captured for accurate future projections B. Dieppois et al. https://doi.org/10.1038/s43247-021-00285-6
762. Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa J. Ma et al. https://doi.org/10.5194/bg-19-2145-2022
763. Radiative effects of ozone waves on the Northern Hemisphere polar vortex and its modulation by the QBO V. Silverman et al. https://doi.org/10.5194/acp-18-6637-2018
764. Assessment of the Future Impact of Climate Change on the Hydrology of the Mangoky River, Madagascar Using ANN and SWAT M. Rabezanahary Tanteliniaina et al. https://doi.org/10.3390/w13091239
765. Gridded millennial summer temperature dataset over the Yangtze River Basin A. Dilawar et al. https://doi.org/10.1038/s41597-026-06959-0
766. Unraveling the global teleconnections of Indian summer monsoon clouds: expedition from CMIP5 to CMIP6 U. Dutta et al. https://doi.org/10.1016/j.gloplacha.2022.103873
767. Dynamic downscaling of wind speed over the North Atlantic Ocean using CMIP6 projections: Implications for offshore wind power density J. Fernández-Alvarez et al. https://doi.org/10.1016/j.egyr.2022.12.036
768. Decision-making in model construction: Unveiling habits L. Babel et al. https://doi.org/10.1016/j.envsoft.2019.07.015
769. Progress and Trends in Coupled Model Intercomparison Project (CMIP) Research: A Bibliometric Analysis Y. Ju et al. https://doi.org/10.3390/agriculture15080826
770. Increasing heat risk in China’s urban agglomerations G. Zhang et al. https://doi.org/10.1088/1748-9326/ac046e
771. Precipitation Projection in Cambodia Using Statistically Downscaled CMIP6 Models S. Duong et al. https://doi.org/10.3390/cli11120245
772. Seasonal transition dates can reveal biases in Arctic sea ice simulations A. Smith et al. https://doi.org/10.5194/tc-14-2977-2020
773. On the importance of the reference data: Uncertainty partitioning of bias-adjusted climate simulations over eastern Canada J. Lavoie et al. https://doi.org/10.1016/j.cliser.2025.100619
774. Statistically Downscaled CMIP6 Projections Show Stronger Warming for Germany F. Kreienkamp et al. https://doi.org/10.3390/atmos11111245
775. Disentangling the influence of local and remote anthropogenic aerosols on South Asian monsoon daily rainfall characteristics D. Singh et al. https://doi.org/10.1007/s00382-018-4512-9
776. Anthropogenic aerosols dominated the decreased solar radiation in eastern China over the last five decades Z. Tang et al. https://doi.org/10.1016/j.jclepro.2022.135150
777. The costs of Arctic infrastructure damages due to permafrost degradation D. Streletskiy et al. https://doi.org/10.1088/1748-9326/acab18
778. Evaluation of the CMIP6 models for simulating the trend of the Barents-Kara Sea compound heatwaves in boreal autumn Y. Xin et al. https://doi.org/10.1016/j.atmosres.2025.108077
779. Projected Changes to Hydroclimate Seasonality in the Continental United States K. Marvel et al. https://doi.org/10.1029/2021EF002019
780. Long-term changes in the diurnal cycle of total cloud cover over the Tibetan Plateau C. Deng et al. https://doi.org/10.1016/j.atmosres.2023.106992
781. Evaluation and Projection of Population Exposure to Temperature Extremes over the Beijing–Tianjin–Hebei Region Using a High-Resolution Regional Climate Model RegCM4 Ensemble P. Qin et al. https://doi.org/10.1007/s00376-023-3123-5
782. Detection of the pre-seismic anomalies in stratospheric temperature and radio emission using space-based observations F. Manesh et al. https://doi.org/10.1016/j.asr.2024.02.040
783. Hydrological Response to Climate Change: McGAN for Multi-Site Scenario Weather Series Generation and LSTM for Streamflow Modeling J. Sha et al. https://doi.org/10.3390/atmos15111348
784. Projection of precipitation extremes in China's mainland based on the statistical downscaled data from 27 GCMs in CMIP6 L. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106462
785. Warming Overwhelms the Efficacy of Wet Conditions to Moderate Extreme Heat and Atmospheric Aridity Across the Central Plains F. Chiang et al. https://doi.org/10.1029/2023GL102939
786. An open-source tool for visualization of climate mitigation scenarios: Mipplot Y. Ju et al. https://doi.org/10.1016/j.envsoft.2021.105001
787. Evaluating the effectiveness of climate-based seed transfer and assisted migration: a case study of lodgepole pine (Pinus contorta var. latifolia Dougl.) and interior spruce (Picea engelmanii x glauca (Moench) Voss and their hybrids) in western Canada D. Luo et al. https://doi.org/10.1186/s13595-025-01275-w
788. Effects of rising CO2 concentrations on water dynamics and yields for C3 and C4 crops under both irrigated and dryland conditions in the Texas High Plains N. Wen et al. https://doi.org/10.1016/j.envsoft.2026.106859
789. Future Changes in Climate over the Arabian Peninsula based on CMIP6 Multimodel Simulations M. Almazroui et al. https://doi.org/10.1007/s41748-020-00183-5
790. Quantifying the contribution of forcing and three prominent modes of variability to historical climate A. Schurer et al. https://doi.org/10.5194/cp-19-943-2023
791. Antarctic-wide ice-shelf firn emulation reveals robust future firn air depletion signal for the Antarctic Peninsula D. Dunmire et al. https://doi.org/10.1038/s43247-024-01255-4
792. Sensitivity of Greenland ice sheet projections to spatial resolution in higher-order simulations: the Alfred Wegener Institute (AWI) contribution to ISMIP6 Greenland using the Ice-sheet and Sea-level System Model (ISSM) M. Rückamp et al. https://doi.org/10.5194/tc-14-3309-2020
793. Increased glacier melt enhances future extreme floods in the southern Tibetan Plateau H. Sun et al. https://doi.org/10.1016/j.accre.2024.01.003
794. Consistency of the regional response to global warming levels from CMIP5 and CORDEX projections J. Diez-Sierra et al. https://doi.org/10.1007/s00382-023-06790-y
795. A species’ response to spatial climatic variation does not predict its response to climate change D. Perret et al. https://doi.org/10.1073/pnas.2304404120
796. Impact of Climate Change on the Hydrology of the Forested Watershed That Drains to Lake Erken in Sweden: An Analysis Using SWAT+ and CMIP6 Scenarios I. Jiménez-Navarro et al. https://doi.org/10.3390/f12121803
797. Mutational load and adaptive variation are shaped by climate and species range dynamics in Vitis arizonica C. Fiscus et al. https://doi.org/10.1111/nph.70238
798. Climatic and mechanization effects on Arabica coffee suitability cultivation with climate change potential impacts F. de Carvalho Júnior et al. https://doi.org/10.1007/s00704-025-05823-2
799. Assessment of Changes in the Temperature Regime of Northern Eurasia for the Next Five Years According to the INM RAS Earth System Model Forecasts and Their Possible Consequences for Agriculture V. Khan et al. https://doi.org/10.3103/S1068373923090029
800. Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs S. Hoseini et al. https://doi.org/10.61186/NMCE.2303.1034
801. Interbasin and interhemispheric impacts of a collapsed Atlantic Overturning Circulation B. Orihuela-Pinto et al. https://doi.org/10.1038/s41558-022-01380-y
802. The Coupled Atmosphere–Ocean Response to Antarctic Sea Ice Loss H. Ayres et al. https://doi.org/10.1175/JCLI-D-21-0918.1
803. Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes R. Muñoz-Mas et al. https://doi.org/10.1016/j.ecolind.2024.111979
804. An evaluation of extreme temperature indices as simulated by CMIP6 models over Central Africa G. Fotso-Kamga et al. https://doi.org/10.1007/s00704-026-06065-6
805. Spatiotemporal variations of ecosystem services in the Aral Sea basin under different CMIP6 projections J. He et al. https://doi.org/10.1038/s41598-024-62802-9
806. Northern Hemisphere Heat Extremes in a Warmer Climate: More Probable but Less Colocated With Blocking V. Narinesingh et al. https://doi.org/10.1029/2022GL101211
807. Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. https://doi.org/10.1016/j.scitotenv.2025.178699
808. Predicting the northward expansion of tropical lineage Rhipicephalus sanguineus sensu lato ticks in the United States and its implications for medical and veterinary health E. Pascoe et al. https://doi.org/10.1371/journal.pone.0271683
809. Numerical simulations of Atlantic meridional overturning circulation (AMOC) from OMIP experiments and its sensitivity to surface forcing X. Wang & Y. Yu https://doi.org/10.1007/s00343-023-2364-6
810. Response of ozone to current and future emission scenarios and the resultant human health impact in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109333
811. The Time of Emergence (ToE) of the Andean Mediterranean sclerophyllous forest of Quillaja saponaria (Mol.) and Lithraea caustica (mol.) Hox. & Arn D. Martínez et al. https://doi.org/10.1016/j.foreco.2023.121169
812. Delineating spatial use combined with threat assessment to aid critical recovery of northeast Australia’s endangered hawksbill turtle, one of western Pacific's last strongholds C. Madden Hof et al. https://doi.org/10.3389/fmars.2023.1200986
813. Changing El Niño-Southern Oscillation (ENSO) and impacts under greenhouse warming W. Cai et al. https://doi.org/10.1360/TB-2024-1104
814. Reasons for East Siberia Winter Snow Water Equivalent Increase in the Recent Decades Z. Wang et al. https://doi.org/10.3390/rs15010134
815. Evaluation of extreme precipitation climate indices and their projected changes for Brazil: From CMIP3 to CMIP6 F. Jeferson de Medeiros et al. https://doi.org/10.1016/j.wace.2022.100511
816. Characterizing and correcting for global climate models’ biases in multiyear extreme precipitation scenarios A. Frei et al. https://doi.org/10.1007/s10584-025-04033-z
817. An assessment of land energy balance over East Asia from multiple lines of evidence and the roles of the Tibet Plateau, aerosols, and clouds Q. Wang et al. https://doi.org/10.5194/acp-22-15867-2022
818. Systematic Climate Model Biases in the Large‐Scale Patterns of Recent Sea‐Surface Temperature and Sea‐Level Pressure Change R. Wills et al. https://doi.org/10.1029/2022GL100011
819. Present‐Day Greenland Ice Sheet Climate and Surface Mass Balance in CESM2 L. van Kampenhout et al. https://doi.org/10.1029/2019JF005318
820. Heatwave Characteristics in the Recent Climate and at Different Global Warming Levels: A Multimodel Analysis at the Global Scale A. Al‐Yaari et al. https://doi.org/10.1029/2022EF003301
821. Understanding the delayed onset of the South China Sea summer monsoon in CMIP6 models J. Yang et al. https://doi.org/10.1007/s00382-025-07819-0
822. Evaluation of Bias-Corrected GCM CMIP6 Simulation of Sea Surface Temperature over the Gulf of Guinea O. Ideki & A. Lupo https://doi.org/10.3390/cli12020019
823. The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake N. Goris et al. https://doi.org/10.5194/gmd-16-2095-2023
824. Multi-model ensemble mean shows accelerating global below-ground warming Y. Ju et al. https://doi.org/10.1016/j.agrformet.2026.111382
825. Local surface cooling from afforestation amplified by lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41561-023-01251-x
826. Investigating carbon and nitrogen conservation in reported CMIP6 Earth system model data G. Tang et al. https://doi.org/10.5194/gmd-18-2111-2025
827. Substantially reducing global PM2.5-related deaths under SDG3.9 requires better air pollution control and healthcare H. Yue et al. https://doi.org/10.1038/s41467-024-46969-3
828. Novel bias correction framework for CMIP6 climate projections over Sri Lanka and streamflow impacts in the Malwathu River Basin S. Vasanthakumar et al. https://doi.org/10.1007/s40808-026-02858-w
829. Predictions based on phylogeography and climatic niche modelling depict an uncertain future scenario for giant blister beetles (Berberomeloe, Meloidae) facing intensive greenhouse expansion and global warming A. Sánchez‐Vialas et al. https://doi.org/10.1111/icad.12671
830. Changes in the ground surface temperature in permafrost regions along the Qinghai–Tibet engineering corridor from 1900 to 2014: A modified assessment of CMIP6 Z. Xing et al. https://doi.org/10.1016/j.accre.2023.01.007
831. Historically consistent mass loss projections of the Greenland ice sheet C. Rahlves et al. https://doi.org/10.5194/tc-19-1205-2025
832. Covering rice demand in Southern China under decreasing cropping intensities and considering multiple climate and population scenarios Z. Zhou et al. https://doi.org/10.1016/j.spc.2023.06.008
833. Equilibrium Climate Sensitivity Estimated by Equilibrating Climate Models M. Rugenstein et al. https://doi.org/10.1029/2019GL083898
834. Model-Based Assessment of Phenological and Climate Suitability Dynamics for Winter Wheat in the 3H Plain Under Future Climate Scenarios Y. Xu et al. https://doi.org/10.3390/agriculture15151606
835. How adequately are elevated moist layers represented in reanalysis and satellite observations? M. Prange et al. https://doi.org/10.5194/acp-23-725-2023
836. Big data in Earth science: Emerging practice and promise T. Vance et al. https://doi.org/10.1126/science.adh9607
837. When the future cannot reach everyone: Disability erasure in climate modelling E. Bokor & M. Nen https://doi.org/10.1016/j.futures.2026.103833
838. Chronic and rainfall-associated ammonia nitrogen export varies across land-use and river-connectivity contexts in Chinese river networks M. Wang et al. https://doi.org/10.1016/j.watres.2026.126765
839. Two-timescale response of a large Antarctic ice shelf to climate change K. Naughten et al. https://doi.org/10.1038/s41467-021-22259-0
840. Efficacy of an inflow diversion wall for managing eutrophication in two hydrologically connected lakes: A modelling study M. Prentice et al. https://doi.org/10.1016/j.ecoleng.2025.107862
841. Improving the Estimation of Human Climate Influence by Selecting Appropriate Forcing Simulations C. Li et al. https://doi.org/10.1029/2021GL095500
842. The Cause of the Large Cold Bias in the Northwestern Pacific Ocean J. Feng et al. https://doi.org/10.1029/2021GL094616
843. Sahel Droughts Induced by Large Volcanic Eruptions Over the Last Millennium in PMIP4/Past1000 Simulations J. Villamayor et al. https://doi.org/10.1029/2022GL101478
844. Atlantic salinity budget in response to Northern and Southern Hemisphere ice sheet discharge J. van den Berk et al. https://doi.org/10.1007/s00382-018-4444-4
845. Forced signal and predictability in a prototype climate model: Implications for fingerprinting based detection in the presence of multidecadal natural variability S. Kravtsov et al. https://doi.org/10.1063/5.0106514
846. Future Thermodynamic Impacts of Global Warming on Landfalling Typhoons and Their Induced Storm Surges to the Pearl River Delta Region as Inferred from High-Resolution Regional Models J. Chen et al. https://doi.org/10.1175/JCLI-D-21-0436.1
847. Land Cover Change Intensifies Actual and Potential Radiative Forcing through CO2 in South and Southeast Asia from 1992 to 2015 Y. Cui et al. https://doi.org/10.3390/ijerph16142460
848. Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models S. Zhao et al. https://doi.org/10.3390/rs14194701
849. An Eulerian evaluation of intense low-pressure systems over North America in CMIP6 and a regional climate model V. De Meyer et al. https://doi.org/10.1007/s00382-026-08260-7
850. Atmospheric drivers and socioeconomic impacts of precipitation variability in North Africa M. Tanarhte et al. https://doi.org/10.1038/s43247-026-03801-8
851. An integrated approach for assessing the economic impact of climate change on hydropower systems A. Hatamkhani et al. https://doi.org/10.1016/j.energy.2025.134990
852. Reversal of the impact chain for actionable climate information P. Pfleiderer et al. https://doi.org/10.1038/s41561-024-01597-w
853. Evaluation of Ocean Biogeochemistry and Carbon Cycling in CMIP Earth System Models With the International Ocean Model Benchmarking (IOMB) Software System W. Fu et al. https://doi.org/10.1029/2022JC018965
854. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. https://doi.org/10.1029/2022MS003204
855. CMIP6 projected response of the East Asian winter climate to the sea ice‐free Arctic Z. Song & B. Zhou https://doi.org/10.1002/joc.7931
856. A semi-empirical model for mesospheric and stratospheric NOy produced by energetic particle precipitation B. Funke et al. https://doi.org/10.5194/acp-16-8667-2016
857. Evaluation of the interactive stratospheric ozone (O3v2) module in the E3SM version 1 Earth system model Q. Tang et al. https://doi.org/10.5194/gmd-14-1219-2021
858. Stronger Arctic amplification produced by decreasing, not increasing, CO2 concentrations S. Zhou et al. https://doi.org/10.1088/2752-5295/aceea2
859. Footprints of meteorology and air pollution on rice yield variation in the North Indian Plain; implications of future climate change scenarios A. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2026.181714
860. Scenarios towards limiting global mean temperature increase below 1.5 °C J. Rogelj et al. https://doi.org/10.1038/s41558-018-0091-3
861. Seasonal Spatial Distribution Patterns of Crangon hakodatei (Rathbun, 1902) in the Southern Yellow and East China Seas M. Xu et al. https://doi.org/10.2983/035.045.0113
862. Sensitive temperature changes on the Tibetan Plateau in response to global warming Y. Meng et al. https://doi.org/10.1016/j.atmosres.2023.106948
863. Projected heatwaves in Xinjiang Uygur autonomous region, China D. Dong et al. https://doi.org/10.3389/feart.2024.1286012
864. Characteristic changes in compound drought and heatwave events under climate change C. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107440
865. Mechanical and Thermal Impacts of the Tibetan–Iranian Plateau on the North Pacific Storm Track: Numerical Experiments by FGOALS‐f3‐L M. Yang et al. https://doi.org/10.1029/2021JD035659
866. The Indian summer monsoon and Indian Ocean Dipole connection in the IITM Earth System Model (IITM-ESM) A. Prajeesh et al. https://doi.org/10.1007/s00382-021-05999-z
867. Simulations of ENSO Phase-Locking in CMIP5 and CMIP6 H. Chen & F. Jin https://doi.org/10.1175/JCLI-D-20-0874.1
868. Variability of the Indian Ocean Dipole post-2100 reverses to a reduction despite persistent global warming G. Wang et al. https://doi.org/10.1038/s41467-024-49401-y
869. Future changes in precipitation and water availability over the Tibetan Plateau projected by CMIP6 models constrained by climate sensitivity H. Qiu et al. https://doi.org/10.1016/j.aosl.2024.100537
870. Bayesian assessment of CMIP6 surface net radiation predictions for Köppen–Geiger climate zones Z. Liu https://doi.org/10.1002/joc.8152
871. Implementation of nitrogen cycle in the CLASSIC land model A. Asaadi & V. Arora https://doi.org/10.5194/bg-18-669-2021
872. Abrupt loss and uncertain recovery from fires of Amazon forests under low climate mitigation scenarios I. Cano et al. https://doi.org/10.1073/pnas.2203200119
873. Climate change greatly escalates forest disturbance risks to US property values W. Anderegg et al. https://doi.org/10.1088/1748-9326/ace639
874. Future changes in precipitation and temperature using cmip6 model based on topsis method: focus on Songhua river basin S. Chu et al. https://doi.org/10.1007/s00704-026-06127-9
875. Subsea permafrost and associated methane hydrate stability zone: how long can they survive in the future? V. Malakhova & A. Eliseev https://doi.org/10.1007/s00704-023-04804-7
876. Changes and responses of GPP among different plant functional types in a savanna ecosystem under future climate scenarios W. Chen et al. https://doi.org/10.1016/j.jenvman.2025.126836
877. Evaluation of CMIP6 Model Simulation Capability in Sichuan Region 晨. 邢 https://doi.org/10.12677/OJNS.2021.91016
878. Optimizing the sowing window for direct-seeded rice (Oryza sativa L.) considering high yield and methane emissions in Central China Z. Zhou et al. https://doi.org/10.1016/j.agsy.2022.103594
879. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al. https://doi.org/10.1002/joc.6996
880. Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation A. Ukkola et al. https://doi.org/10.1029/2020GL087820
881. Assessing species reintroduction sites based on future climate suitability for food resources S. Gomides et al. https://doi.org/10.1111/cobi.13796
882. Analyzing uncertainty and constraining projections for future vegetation in mid-to-high-latitude Asia J. Wei et al. https://doi.org/10.1016/j.aosl.2024.100522
883. Climate-mediated stock redistribution causes increased risk and challenges for fisheries management N. Jacobsen et al. https://doi.org/10.1093/icesjms/fsac029
884. Probabilistic Sea Level Rise Hazard Analysis Based on the Current Generation of Data and Protocols X. Luo & T. Lin https://doi.org/10.1061/JSENDH.STENG-11413
885. Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China X. Shao et al. https://doi.org/10.1371/journal.pone.0337473
886. Influence of the Solar Cycle on the North Atlantic Oscillation Y. Kuroda et al. https://doi.org/10.1029/2021JD035519
887. High-resolution snow water equivalent estimation: a data-driven method for localized downscaling of climate data F. Zakeri et al. https://doi.org/10.5194/hess-29-6935-2025
888. Polar Amplification and Ice Free Conditions under 1.5, 2 and 3 °C of Global Warming as Simulated by CMIP5 and CMIP6 Models F. Casagrande et al. https://doi.org/10.3390/atmos12111494
889. Early‐to‐Late Winter 20th Century North Atlantic Multidecadal Atmospheric Variability in Observations, CMIP5 and CMIP6 T. Bracegirdle https://doi.org/10.1029/2022GL098212
890. Projecting atmospheric N2O rise until the end of the 21st century: an Earth System Model study M. De Sisto et al. https://doi.org/10.1088/1748-9326/ad8c6c
891. Inter-basin contrast in the Southern Ocean warming Y. Song et al. https://doi.org/10.1038/s41467-025-64112-8
892. Interannual Fluctuations and Their Low-Frequency Modulation of Summertime Heavy Daily Rainfall Potential in Western Japan T. Mochizuki https://doi.org/10.3390/atmos15070814
893. Observation-based selection of climate models projects Arctic ice-free summers around 2035 D. Docquier & T. Koenigk https://doi.org/10.1038/s43247-021-00214-7
894. Changes in the Length of the Season with Favorable Environmental Conditions for Tropical Cyclones in the North Atlantic Basin during the Last 40 Years Y. Wu & R. Korty https://doi.org/10.1175/JCLI-D-21-0767.1
895. Evaluating Climate Models with an African Lens R. James et al. https://doi.org/10.1175/BAMS-D-16-0090.1
896. Anthropogenic climate change amplifies autumn heatwave risks for children during school reopening Y. Ye et al. https://doi.org/10.1016/j.wace.2026.100892
897. Impact of Antarctic Meltwater Forcing on East Asian Climate Under Greenhouse Warming J. Oh et al. https://doi.org/10.1029/2020GL089951
898. Climate change scenarios across South-Kivu agroecological zones, Eastern D.R. Congo L. Kulimushi et al. https://doi.org/10.1038/s41598-026-50143-8
899. Coincident evolution of glaciers and ice-marginal proglacial lakes across the Southern Alps, New Zealand: Past, present and future J. Carrivick et al. https://doi.org/10.1016/j.gloplacha.2022.103792
900. ENSO-Former: spatiotemporal fusion network based on multivariate and dual-branch transformer for ENSO prediction W. Fang & Y. Sha https://doi.org/10.1007/s00382-024-07566-8
901. High-resolution projections of carbon neutrality in China: implications for low-carbon territorial space utilization M. Cui et al. https://doi.org/10.1016/j.ecolind.2026.115262
902. Changes in vegetation greenness and its response to precipitation seasonality in Central Asia from 1982 to 2022 Y. Su et al. https://doi.org/10.1088/1748-9326/acf58e
903. Recent global climate feedback controlled by Southern Ocean cooling S. Kang et al. https://doi.org/10.1038/s41561-023-01256-6
904. CMIP6 model simulation of concurrent continental warming holes in Eurasia and North America since 1990 and their relation to the Indo-Pacific SST warming C. Sun et al. https://doi.org/10.1016/j.gloplacha.2022.103824
905. Historical Southern Hemisphere biomass burning variability inferred from ice core carbon monoxide records I. Strawson et al. https://doi.org/10.1073/pnas.2402868121
906. Climate change and conservation of Caladenia orchids in Western Australia J. Calevo et al. https://doi.org/10.1007/s10531-025-03185-9
907. The coupled Southern Ocean–Sea ice–Ice shelf Model (SOSIM v1.0): configuration and evaluation C. Liu et al. https://doi.org/10.5194/gmd-19-2985-2026
908. THE ASSESSMENT OF THE IMPACT OF CLIMATE CHANGE ON TYPHOONS USING A SLAB-OCEAN COUPLED ATMOSPHERIC GLOBAL CIRCULATION MODEL WITH MONTH FIXED EVENT ATTRIBUTION EXPERIMENTS T. OKADA et al. https://doi.org/10.2208/kaigan.78.2_I_955
909. Thermodynamic effect dictates influence of the Atlantic Multidecadal Oscillation on Eurasia winter temperature H. Wang et al. https://doi.org/10.1038/s41612-024-00686-2
910. Projection of Precipitation Extremes and Flood Risk in the China–Pakistan Economic Corridor S. Du et al. https://doi.org/10.3389/fenvs.2022.887323
911. Improving climate information through projecting climate change and variability in the Upper Awash Subbasin, Ethiopia A. Bedada et al. https://doi.org/10.1007/s00703-025-01087-7
912. On the impact of net-zero forcing Q-flux change K. Eiselt & R. Graversen https://doi.org/10.1007/s00382-024-07117-1
913. Spatio-temporal patterns of habitat suitability for two exotic fishes under climate change in a tropical river basin A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2025.100704
914. Assessment of CMIP6 Multi-Model Projections Worldwide: Which Regions Are Getting Warmer and Are Going through a Drought in Africa and Morocco? What Changes from CMIP5 to CMIP6? A. Bouramdane https://doi.org/10.3390/su15010690
915. Technology to aid the analysis of large-volume multi-institute climate model output at a central analysis facility (PRIMAVERA Data Management Tool V2.10) J. Seddon et al. https://doi.org/10.5194/gmd-16-6689-2023
916. Kış Dönemi Yağış Anomalilerinin Gelecek Projeksiyonları: Balıkesir Örneği H. Uyguçgil & G. Adana Karaağaç https://doi.org/10.48123/rsgis.1943038
917. Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future D. Visioni et al. https://doi.org/10.5194/acp-23-5149-2023
918. Prediction of the soil water content in the Luanhe river basin based on CMIP6 T. Zhang et al. https://doi.org/10.1016/j.jclepro.2023.138852
919. Assessing the stability of terrestrial water storage to drought based on CMIP6 forcing scenarios W. Wei et al. https://doi.org/10.1016/j.jhydrol.2024.132232
920. Aurora Basin, the Weak Underbelly of East Antarctica T. Pelle et al. https://doi.org/10.1029/2019GL086821
921. A theoretical framework to understand sources of error in Earth System Model emulation C. Womack et al. https://doi.org/10.5194/esd-17-107-2026
922. Climate Change Scenarios in the Southern Caribbean region of Central America E. Alfaro et al. https://doi.org/10.15517/rev.biol.trop..v73iS1.64044
923. Role of atmospheric rivers in shaping long term Arctic moisture variability Z. Wang et al. https://doi.org/10.1038/s41467-024-49857-y
924. Evaluation of Leading Modes of Climate Variability in the CMIP Archives J. Fasullo et al. https://doi.org/10.1175/JCLI-D-19-1024.1
925. Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States A. Al-Yaari et al. https://doi.org/10.1038/s41598-018-38309-5
926. Climate Change of Near-Surface Temperature in South Africa Based on Weather Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13080161
927. Spatial variability and future susceptibility of thaw hazards on hillslopes across the Qinghai-Tibet Plateau J. Yang et al. https://doi.org/10.1016/j.gloplacha.2026.105647
928. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.4
929. Inter-model spread in the wintertime Arctic amplification in the CMIP6 models and the important role of internal climate variability K. Ye & G. Messori https://doi.org/10.1016/j.gloplacha.2021.103543
930. Evaluation of CMIP6 model skills in simulating tropical climate extremes over Malawi, Southern Africa B. Mmame & C. Ngongondo https://doi.org/10.1007/s40808-023-01867-3
931. The Urban River Syndrome: Achieving Sustainability Against a Backdrop of Accelerating Change M. Richardson & M. Soloviev https://doi.org/10.3390/ijerph18126406
932. Inferring the role of Interdecadal Pacific Oscillation phase on tropical-extratropical teleconnection dependencies M. Collier et al. https://doi.org/10.5194/npg-33-103-2026
933. Projected evolution of the Qiyi Glacier in the Qilian Mountains using the PyGEM with the calibration of glaciological mass balance Y. Huo et al. https://doi.org/10.1016/j.rcar.2024.09.005
934. Global warming amplified regional heatwave with nighttime preeminence outrun daytime heatwave D. Tofu et al. https://doi.org/10.1016/j.indic.2025.100986
935. Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic Y. Zou et al. https://doi.org/10.1038/s41467-021-26232-9
936. Present and future land surface and wet bulb temperatures in the Arabian Peninsula S. Safieddine et al. https://doi.org/10.1088/1748-9326/ac507c
937. Projecting multi-attribute flood regime changes for the Yangtze River basin C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128846
938. Evolution of global snow drought characteristics from 1850 to 2100 M. Cowherd et al. https://doi.org/10.1088/1748-9326/acd804
939. Exploring land surface air temperature changes: a detailed trend analysis through the lens of long-term memory C. Ma & N. Yuan https://doi.org/10.1007/s00382-025-07791-9
940. GERB Obs4MIPs: a dataset for evaluating diurnal and monthly variations in top-of-atmosphere radiative fluxes in climate models J. Russell et al. https://doi.org/10.5194/essd-16-4243-2024
941. The Canadian Earth System Model version 5 (CanESM5.0.3) N. Swart et al. https://doi.org/10.5194/gmd-12-4823-2019
942. On the skill of Indo-Pacific decadal sea level predictions and its connection with skilful AMO and PDO predictions J. Deepa & C. Gnanaseelan https://doi.org/10.1007/s00382-024-07456-z
943. Recent progress in simulating two types of ENSO – from CMIP5 to CMIP6 M. Hou & Y. Tang https://doi.org/10.3389/fmars.2022.986780
944. Weakened Antarctic Dipole Under Global Warming in CMIP6 Models S. Li et al. https://doi.org/10.1029/2021GL094863
945. A data-driven Bayesian network methodology for predicting future incident risk in Arctic maritime-based cargo transit W. Li et al. https://doi.org/10.1016/j.oceaneng.2025.120299
946. Climate Dynamics in Guinea Under Global Warming: Analysis of Extreme Air Temperatures and Precipitation E. Vyshkvarkova et al. https://doi.org/10.3390/cli13120239
947. Environmental niche model for the baldcypress leafroller, a significant defoliator of coastal forests, under current and projected climate scenarios K. McAndrew et al. https://doi.org/10.1016/j.ecoinf.2025.103451
948. Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic H. Che et al. https://doi.org/10.5194/acp-22-10789-2022
949. Investigation of Groundwater–Surface water interaction and land use and land cover change in the catchments, A case of Kivu Lake, DRC-Rwanda S. Uwamahoro et al. https://doi.org/10.1016/j.gsd.2024.101236
950. Coupled modes of projected regional change in the Bering Sea from a dynamically downscaling model under CMIP6 forcing A. Hermann et al. https://doi.org/10.1016/j.dsr2.2021.104974
951. Warming and Wetting will continue over the Tibetan Plateau in the Shared Socioeconomic Pathways H. Deng et al. https://doi.org/10.1371/journal.pone.0289589
952. Aerosol sensitivity simulations over East Asia in a convection-permitting climate model S. Li et al. https://doi.org/10.1007/s00382-022-06620-7
953. Effects of Sea Spray on Large-Scale Climatic Features over the Southern Ocean Y. Song et al. https://doi.org/10.1175/JCLI-D-21-0608.1
954. Deep Learning-Based Correction of Decadal Predictions of the PDO and TAG Indices J. Dixit et al. https://doi.org/10.1109/LGRS.2026.3662257
955. Using Global-Scale Earth System Models for Regional Fisheries Applications K. Kearney et al. https://doi.org/10.3389/fmars.2021.622206
956. The potential value of seasonal drought forecasts in the context of climate change: A case study of the African elephant conservation sector E. Black et al. https://doi.org/10.1002/met.2190
957. Optimizing global forest burned area simulations: Multi-earth system model assessment, Bayesian model averaging synthesis, and climate drivers X. Wang & Z. Di https://doi.org/10.1016/j.gloplacha.2026.105390
958. Controlled weakening of model ice: Replicating the mechanical response of summer-warmed sea ice in laboratories and test basins N. Fuchs et al. https://doi.org/10.1016/j.oceaneng.2026.127562
959. Assessment of the 11-year solar cycle signals in the middle atmosphere during boreal winter with multiple-model ensemble simulations W. Huo et al. https://doi.org/10.5194/acp-25-2589-2025
960. Assessment of surface downward longwave radiation in CMIP6 with comparison to observations and CMIP5 J. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106056
961. Eastern Bering Sea shelf environmental and lower trophic level responses to climate forcing: Results of dynamical downscaling from CMIP6 W. Cheng et al. https://doi.org/10.1016/j.dsr2.2021.104975
962. Resolving the 21st century temperature trends of the upper troposphere–lower stratosphere with satellite observations F. Ladstädter et al. https://doi.org/10.1038/s41598-023-28222-x
963. Common EOFs: a tool for multi-model comparison and evaluation A. Hannachi et al. https://doi.org/10.1007/s00382-022-06409-8
964. A Review of Drought Disturbance on Socioeconomic Development X. Yang et al. https://doi.org/10.3390/w15223912
965. Overshoot and (ir)reversibility to 2300 in two CO2-emissions driven Earth System models C. Smith et al. https://doi.org/10.5194/esd-17-893-2026
966. Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation Y. Wang & P. Huang https://doi.org/10.1038/s41467-022-30104-1
967. Reduced rainfall over the Amazon basin in an idealized CO2 removal scenario: Remote dynamic processes S. Zhang et al. https://doi.org/10.1016/j.jes.2024.05.035
968. Double Intertropical Convergence Zones in Coupled Ocean‐Atmosphere Models: Progress in CMIP6 W. Si et al. https://doi.org/10.1029/2021GL094779
969. Spatiotemporal projections of extreme precipitation over Algeria based on CMIP6 global climate models S. Sahabi-Abed et al. https://doi.org/10.1007/s40808-023-01716-3
970. Projected 21st-Century Glacial Lake Evolution in High Mountain Asia W. Furian et al. https://doi.org/10.3389/feart.2022.821798
971. The PMIP4 contribution to CMIP6 – Part 2: Two interglacials, scientific objective and experimental design for Holocene and Last Interglacial simulations B. Otto-Bliesner et al. https://doi.org/10.5194/gmd-10-3979-2017
972. Reversed and comparable climate impacts from historical anthropogenic aerosol and GHG on global-scale tropical cyclone genesis potential J. Cao et al. https://doi.org/10.1088/1748-9326/ac8c5b
973. Reproduction of the Temperature Response to the Pinatubo Volcanic Impact in the INMCM6 Earth System Model S. Kostrykin & E. Volodin https://doi.org/10.1134/S0001433825700756
974. The Impacts of Environmental and Socio-Economic Risks on the Fisheries in the Mediterranean Region N. Hilmi et al. https://doi.org/10.3390/su131910670
975. A shift towards broader and less persistent Southern Hemisphere temperature anomalies I. Karbi & R. Chemke https://doi.org/10.1038/s41612-023-00526-9
976. Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al. https://doi.org/10.5194/gmd-16-315-2023
977. Changes in Drought Characteristics and Heatwave Propagation Over Groundwater Basins in Australia C. Ndehedehe & O. Adeyeri https://doi.org/10.1007/s41748-024-00463-4
978. Embrace SST pattern nonlinearity to understand post-2100 climate changes K. Yang https://doi.org/10.1038/s43017-025-00721-7
979. Nested operator inference for adaptive data-driven learning of reduced-order models N. Aretz & K. Willcox https://doi.org/10.1007/s10444-026-10322-7
980. Quantifying horizontal length scales for surface wind variability in the tropical Pacific based on reanalyses C. Wen et al. https://doi.org/10.1007/s00382-020-05342-y
981. Future Changes in Active and Inactive Atlantic Hurricane Seasons in the Energy Exascale Earth System Model A. Sena et al. https://doi.org/10.1029/2022GL100267
982. Probability of continued local-scale warming and extreme events during and after decarbonization N. Diffenbaugh et al. https://doi.org/10.1088/2752-5295/accf2f
983. Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations V. Dike et al. https://doi.org/10.1002/joc.7641
984. KRILLPODYM: a mechanistic, spatially resolved model of Antarctic krill distribution and abundance D. Green et al. https://doi.org/10.3389/fmars.2023.1218003
985. Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al. https://doi.org/10.1029/2023JD038534
986. Attribution of changes in winds over the Southern Ocean from 1950 to 2100 T. Jarníková et al. https://doi.org/10.5194/esd-17-631-2026
987. gdess: A framework for evaluating simulated atmospheric CO2 in Earth System Models D. Kaufman et al. https://doi.org/10.21105/joss.04326
988. Multi-decadal high-resolution historical simulations with the ECMWF global atmosphere model M. Aengenheyster et al. https://doi.org/10.1038/s41597-026-07388-9
989. Eigen microstate analysis unveils climate dynamics H. Tu et al. https://doi.org/10.1007/s11433-024-2586-2
990. Multimodel analysis of climate-induced flow variability in transboundary tropical basins B. Ernest et al. https://doi.org/10.2166/wcc.2026.407
991. Exploration of Atmosphere‐Only Model Deficiencies in Reproducing the 1992–2011 Pacific Trade Wind Acceleration P. van Rensch et al. https://doi.org/10.1029/2022GL099981
992. The Multi‐Decadal Response to Net Zero CO2 Emissions and Implications for Emissions Policy S. Jenkins et al. https://doi.org/10.1029/2022GL101047
993. Climate-change impacts on offshore wind resources in the Mediterranean Sea A. Martinez & G. Iglesias https://doi.org/10.1016/j.enconman.2023.117231
994. Marine aerosol in Aotearoa New Zealand: implications for air quality, climate change and public health L. Revell et al. https://doi.org/10.1080/03036758.2024.2319753
995. Projection of Future Meteorological Droughts in Lake Urmia Basin, Iran B. Ghazi et al. https://doi.org/10.3390/w15081558
996. Attribution of the record breaking 2025 European fire season to climate change T. Keeping et al. https://doi.org/10.5194/nhess-26-3761-2026
997. Climate Change Effects on Heating and Cooling Demands of Buildings in Canada S. Chidiac et al. https://doi.org/10.3390/civileng3020017
998. Winds and Meltwater Together Lead to Southern Ocean Surface Cooling and Sea Ice Expansion L. Roach et al. https://doi.org/10.1029/2023GL105948
999. A hybrid approach for skillful multiseasonal prediction of winter North Pacific blocking M. Park et al. https://doi.org/10.1038/s41612-024-00767-2
1000. Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
1001. RIME-X v1.0: combining simple climate models, Earth system models, and climate impact models into a unified statistical emulator for regional climate indicators N. Schwind et al. https://doi.org/10.5194/gmd-19-6797-2026
1002. A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. https://doi.org/10.1016/j.jhydrol.2024.131370
1003. Projected Changes in Water Year Types and Hydrological Drought in California’s Central Valley in the 21st Century M. He et al. https://doi.org/10.3390/cli9020026
1004. A Regime View of ENSO Flavors Through Clustering in CMIP6 Models P. Vaittinada Ayar et al. https://doi.org/10.1029/2022EF003460
1005. Light Precipitation rather than Total Precipitation Determines Aerosol Wet Removal W. Xia et al. https://doi.org/10.1021/acs.est.4c07684
1006. Hemispheric divergent trends in winter temperature drop days H. Wang et al. https://doi.org/10.1038/s43247-026-03552-6
1007. Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution X. Song et al. https://doi.org/10.1016/j.accre.2021.06.008
1008. Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery S. Fiedler et al. https://doi.org/10.1016/j.atmosres.2021.105866
1009. Projected global demand for air conditioning associated with extreme heat and implications for electricity grids in poorer countries P. Sherman et al. https://doi.org/10.1016/j.enbuild.2022.112198
1010. Ice-free period too long for Southern and Western Hudson Bay polar bear populations if global warming exceeds 1.6 to 2.6 °C J. Stroeve et al. https://doi.org/10.1038/s43247-024-01430-7
1011. Interactive coupling of a Greenland ice sheet model in NorESM2 H. Goelzer et al. https://doi.org/10.5194/gmd-18-7853-2025
1012. The Probability of an AMOC Collapse Onset in the Twenty-First Century H. Dijkstra & R. van Westen https://doi.org/10.1146/annurev-marine-040324-024822
1013. Application of Boruta algorithms as a robust methodology for performance evaluation of CMIP6 general circulation models for hydro-climatic studies I. Lawal et al. https://doi.org/10.1007/s00704-023-04466-5
1014. Enhanced impact of the Aleutian Low on increasing the Central Pacific ENSO in recent decades S. Chen et al. https://doi.org/10.1038/s41612-023-00350-1
1015. Deep Learning-Based Downscaling of CMIP6 for Projecting Heat-Driven Electricity Demand and Cost Management in Chengdu R. Yang & G. Teng https://doi.org/10.3390/atmos16121355
1016. Future Changes in the Surface Water Balance over Western Canada Using the CanESM5 (CMIP6) Ensemble for the Shared Socioeconomic Pathways 5 Scenario S. Basu & D. Sauchyn https://doi.org/10.3390/w14050691
1017. Extremes events and socio-economic impacts in central Africa: a CMIP6-based analysis of projections D. Ebedi-Nding et al. https://doi.org/10.1007/s40808-024-02139-4
1018. A simple framework for likely climate projections applied to tropical width D. Baldassare & T. Reichler https://doi.org/10.1007/s00382-024-07335-7
1019. How Well Can Current Climate Models Simulate the Connection of the Early Spring Aleutian Low to the Following Winter ENSO? S. Chen et al. https://doi.org/10.1175/JCLI-D-22-0323.1
1020. Increased risk of near term global warming due to a recent AMOC weakening R. Bonnet et al. https://doi.org/10.1038/s41467-021-26370-0
1021. Quantifying the current and future likelihood of the 2022 extreme wildfire weather conditions in France with anthropogenic climate change S. Zhu et al. https://doi.org/10.5194/nhess-26-2637-2026
1022. Evaluating the impact of climate change on yield and water use efficiency of different dry-season rice varieties cultivated under conventional and alternate wetting and drying conditions C. Phoeurn et al. https://doi.org/10.1007/s10661-024-13363-x
1023. Predicting the current and future distribution of Telchin licus (Lepidoptera: Castniidae) based on the maximum entropy model M. Loures-Ferreira et al. https://doi.org/10.1007/s42690-025-01687-1
1024. A Quantitative Analysis of the Source of Inter‐Model Spread in Arctic Surface Warming Response to Increased CO2 Concentration X. Hu et al. https://doi.org/10.1029/2022GL100034
1025. The role of high-biodiversity regions in preserving Nature’s Contributions to People M. Cimatti et al. https://doi.org/10.1038/s41893-023-01179-5
1026. Reevaluation of Total‐Column Ozone Trends and of the Effective Radiative Forcing of Ozone‐Depleting Substances O. Morgenstern et al. https://doi.org/10.1029/2021GL095376
1027. Integrated modeling for assessing climate change impacts on water resources and hydropower potential in the Himalayas R. Baniya et al. https://doi.org/10.1007/s00704-024-04863-4
1028. Projected Changes in Atmospheric Ridges over the Pacific–North American Region Using CMIP6 Models P. Loikith et al. https://doi.org/10.1175/JCLI-D-21-0794.1
1029. Assessing the impact of artificial snowmaking on Dagu Glacier variation: a case study from a tourism glacier Y. Xie et al. https://doi.org/10.1038/s41598-025-89722-6
1030. A multi-Hazard risk assessment model for drought and flood: An example from Kashgar Region, Xinjiang Q. Li et al. https://doi.org/10.1016/j.ecofro.2026.01.002
1031. Future changes in drought over Central Asia under CMIP6 forcing scenarios L. Hua et al. https://doi.org/10.1016/j.ejrh.2022.101191
1032. Meteorological and hydrological drought propagation under CMIP6 climate scenarios in eastern Nepal: An LSTM-based streamflow modeling approach S. Subedi et al. https://doi.org/10.2166/wcc.2026.340
1033. Re-examining the impact of annual weather fluctuations on global livestock production L. Emediegwu & C. Ubabukoh https://doi.org/10.1016/j.ecolecon.2022.107662
1034. Skill and uncertainty in surface wind fields from general circulation models: Intercomparison of bias between AGCM, AOGCM and ESM global simulations J. Morim et al. https://doi.org/10.1002/joc.6357
1035. Improving the CFSv2 prediction of the Indian Ocean Dipole based on a physical‐empirical model and a deep‐learning approach P. Chen et al. https://doi.org/10.1002/joc.7812
1036. Analyzing climate scenarios using dynamic mode decomposition with control N. Mankovich et al. https://doi.org/10.1017/eds.2025.8
1037. Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration S. Sun et al. https://doi.org/10.1016/j.agrformet.2024.110256
1038. The influence of climate change on low‐level jet characteristics over the South‐Central Plains as simulated by CMIP5 models J. Wimhurst & J. Greene https://doi.org/10.1002/joc.6563
1039. GISS‐E2.1: Configurations and Climatology M. Kelley et al. https://doi.org/10.1029/2019MS002025
1040. Role of anthropogenic forcing and atmospheric circulation in a low-temperature event in February 2022 in eastern China Z. Chen et al. https://doi.org/10.1016/j.accre.2023.11.009
1041. Debris cover effect on the evolution of Northern Caucasus glaciers in the 21st century T. Postnikova et al. https://doi.org/10.3389/feart.2023.1256696
1042. Amplified tibetan plateau surface warming in CO2-induced global warming simulations Y. Wang et al. https://doi.org/10.1007/s00382-025-07769-7
1043. Widespread outdoor exposure to uncompensable heat stress with warming Y. Fan & K. McColl https://doi.org/10.1038/s43247-024-01930-6
1044. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. https://doi.org/10.1029/2019GL085601
1045. We’re building it up to burn it down: fire occurrence and fire-related climatic patterns in Brazilian biomes L. Diele Viegas et al. https://doi.org/10.7717/peerj.14276
1046. Evaluating CMIP6 models in simulating the North Pacific decadal variability in sea surface salinity J. Chen et al. https://doi.org/10.1007/s11430-023-1373-8
1047. Limited carbon sequestration potential from global ecosystem restoration C. Tölgyesi et al. https://doi.org/10.1038/s41561-025-01742-z
1048. Distinct changes in the vertical structure of QBO amplitude due to tropical upwelling and wave forcing W. Xu & H. Ren https://doi.org/10.1088/1748-9326/adb2a7
1049. Tropical cyclone precipitation in the HighResMIP atmosphere-only experiments of the PRIMAVERA Project W. Zhang et al. https://doi.org/10.1007/s00382-021-05707-x
1050. The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. https://doi.org/10.5194/gmd-13-201-2020
1051. Coupled Model Intercomparison Project phase 6 evaluation and projection of East African precipitation E. Makula & B. Zhou https://doi.org/10.1002/joc.7373
1052. Joint influence of climate warming and surface transformation on the thermal condition of permafrost in the anthropogenically disturbed area of the Norilsk industrial region: scenario assessment until 2060 I. Kambalin et al. https://doi.org/10.7256/2453-8922.2026.3.80209
1053. Future global streamflow declines are probably more severe than previously estimated Y. Zhang et al. https://doi.org/10.1038/s44221-023-00030-7
1054. Origin of underestimated Indian Ocean Dipole teleconnections to Australia in CMIP6 models Y. Zheng https://doi.org/10.1088/1748-9326/ae9ccd
1055. Nexus between the deficit in moisture transport and drought occurrence in regions with projected drought trends L. Gimeno-Sotelo et al. https://doi.org/10.1088/1748-9326/ad560b
1056. Integrating Host Plant Availability into Ensemble Models Reveals Divergent Responses of Three Endangered Papilionid Butterflies to Climate Change in China Z. Lan & G. Zhang https://doi.org/10.3390/biology15151232
1057. Inconsistency in historical simulations and future projections of temperature and rainfall: A comparison of CMIP5 and CMIP6 models over Southeast Asia M. Hamed et al. https://doi.org/10.1016/j.atmosres.2021.105927
1058. The challenge of closing the climate adaptation gap for water supply utilities O. Becher et al. https://doi.org/10.1038/s43247-024-01272-3
1059. Big Data in Earth system science and progress towards a digital twin X. Li et al. https://doi.org/10.1038/s43017-023-00409-w
1060. Comparing the Arctic climate in Chinese and other CMIP6 models R. He & M. Duan https://doi.org/10.1016/j.aosl.2023.100334
1061. Tackling Climate Change with Machine Learning D. Rolnick et al. https://doi.org/10.1145/3485128
1062. Can global warming bring more dust? Y. Zhou et al. https://doi.org/10.1007/s00382-023-06706-w
1063. Limited meltwater potential in the Asian Water Tower to mitigate downstream urban scarcity L. Li et al. https://doi.org/10.1038/s41467-026-73245-3
1064. Observational constraint on climate model projections of global compound hot–dry events and the socioeconomic risks under climate change L. Yao et al. https://doi.org/10.1088/1748-9326/ad7f72
1065. Soil moisture-atmosphere interactions drive terrestrial carbon-water trade-offs W. Sun et al. https://doi.org/10.1038/s43247-025-02145-z
1066. Impact of climate change on blue and green water availability using bias corrected CMIP6 ensemble and SWAT models at Keleta catchment, Awash basin, Ethiopia E. Meskelu et al. https://doi.org/10.2166/wcc.2026.017
1067. Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria S. Thaler et al. https://doi.org/10.3390/agriculture11111029
1068. Projection and Analysis of Floods in the Upper Heihe River Basin under Climate Change Y. Ye et al. https://doi.org/10.3390/atmos14071083
1069. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al. https://doi.org/10.5194/gmd-16-1129-2023
1070. Evaluation of global terrestrial evapotranspiration in CMIP6 models Z. Wang et al. https://doi.org/10.1007/s00704-020-03437-4
1071. Inappropriateness of space-for-time and variability-for-time approaches to infer future dryland productivity changes W. Zhan et al. https://doi.org/10.3389/fenvs.2022.1010269
1072. Performance of Two‐Moment Stratiform Microphysics With Prognostic Precipitation in GFDL's CM4.0 H. Guo et al. https://doi.org/10.1029/2022MS003111
1073. Revisiting two-layer energy balance models for climate assessment J. Tsutsui & C. Smith https://doi.org/10.1088/1748-9326/ad9ec5
1074. How feasible is climate-resilient building design within the Global South context? Insights from Latin American residential sector A. Cruz et al. https://doi.org/10.1016/j.enbuild.2025.116277
1075. Impacts of Climate Change on Tropical Cyclones and associated Rainfall over South Korea: Storyline and Risk-based approaches Y. Hiraga et al. https://doi.org/10.1016/j.atmosres.2025.108685
1076. Wave climate projections off coastal French Guiana based on high-resolution modelling over the Atlantic Ocean M. D'Anna et al. https://doi.org/10.1016/j.ocemod.2024.102468
1077. Strong intensification of extreme fire weather in Europe under 3 °C compared to 2 °C global warming A. Bayar et al. https://doi.org/10.5194/esd-17-929-2026
1078. Imminent loss of climate space for permafrost peatlands in Europe and Western Siberia R. Fewster et al. https://doi.org/10.1038/s41558-022-01296-7
1079. Current and future wind energy resources in the North Sea according to CMIP6 A. Hahmann et al. https://doi.org/10.5194/wes-7-2373-2022
1080. The long-term impact of transgressing planetary boundaries on biophysical atmosphere–land interactions M. Drüke et al. https://doi.org/10.5194/esd-15-467-2024
1081. An assessment of land-based climate and carbon reversibility in the Australian Community Climate and Earth System Simulator T. Ziehn et al. https://doi.org/10.1007/s11027-019-09905-1
1082. Predicting changes in distribution of a large coastal shark in the face of the strengthening East Australian Current Y. Niella et al. https://doi.org/10.3354/meps13322
1083. Occurrence of crop pests and diseases has largely increased in China since 1970 C. Wang et al. https://doi.org/10.1038/s43016-021-00428-0
1084. Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain D. Xiao et al. https://doi.org/10.1016/j.agsy.2020.102805
1085. Human influence strengthens the contrast between tropical wet and dry regions A. Schurer et al. https://doi.org/10.1088/1748-9326/ab83ab
1086. Predicting the Impact of Climate Change on the Habitat Distribution of Parthenium hysterophorus around the World and in South Korea P. Adhikari et al. https://doi.org/10.3390/biology12010084
1087. Evolution of oxygen and stratification and their relationship in the North Pacific Ocean in CMIP6 Earth system models L. Novi et al. https://doi.org/10.5194/bg-21-3985-2024
1088. Application of the Pseudo‐Global Warming Approach in a Kilometer‐Resolution Climate Simulation of the Tropics C. Heim et al. https://doi.org/10.1029/2022JD037958
1089. Increasing heatwave with associated population and GDP exposure in North China G. Zhang et al. https://doi.org/10.1002/joc.8113
1090. Evaluation of Surface Upward Longwave Radiation in the CMIP6 Models with Ground and Satellite Observations J. Xu et al. https://doi.org/10.3390/rs13214464
1091. Climate Change Impacts on Water Resources in Arid and Semi-Arid Regions: A Case Study in Saudi Arabia M. El-Rawy et al. https://doi.org/10.3390/w15030606
1092. Bayesian Estimates of Changes in Russian River Runoff in the 21st Century Based on the CMIP6 Ensemble Model Simulations A. Medvedev et al. https://doi.org/10.1134/S000143382470018X
1093. Multidecadal variability and predictability of Antarctic sea ice in the GFDL SPEAR_LO model Y. Morioka et al. https://doi.org/10.5194/tc-17-5219-2023
1094. Using regional warming levels to describe future climate change for services and adaptation: Application to the French reference trajectory for adaptation L. Corre et al. https://doi.org/10.1016/j.cliser.2025.100553
1095. Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design M. Runge et al. https://doi.org/10.1016/j.epidem.2024.100775
1096. Revising calibration of a lumped watershed model to simulate extreme streamflow A. Patil et al. https://doi.org/10.1088/3033-4942/ae2654
1097. Performance evaluation of UKESM1 for surface ozone across the pan-tropics F. Brown et al. https://doi.org/10.5194/acp-24-12537-2024
1098. How the new climate scenarios will affect air quality trends: An exploratory research S. Coelho et al. https://doi.org/10.1016/j.uclim.2023.101479
1099. UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions D. Storkey et al. https://doi.org/10.5194/gmd-11-3187-2018
1100. Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford https://doi.org/10.5194/bg-18-509-2021
1101. Future increased risk from extratropical windstorms in northern Europe A. Little et al. https://doi.org/10.1038/s41467-023-40102-6
1102. Negligible global but substantial regional effect of vegetation greening on the 21st century permafrost Y. Ran et al. https://doi.org/10.1016/j.accre.2025.12.012
1103. Future heat-stress regimes under CMIP6: a multi-index assessment of persistence and human-relevant thermal constraints T. Lescure & D. Defrance https://doi.org/10.1007/s00704-026-06435-0
1104. Desert dunes transformed by end-of-century changes in wind climate A. Baas & L. Delobel https://doi.org/10.1038/s41558-022-01507-1
1105. Migration Evolves in Response to Distinct Regimes of Climate Seasonality in Tropical Versus Temperate‐Breeding Suboscine Birds E. Johns et al. https://doi.org/10.1002/ece3.71745
1106. Robust intensification of projected regional precipitation extremes over Africa A. Akinsanola et al. https://doi.org/10.1038/s41467-026-73246-2
1107. Global population densities, climate change, and the maximum monthly temperature threshold as a potential tipping point for high urban densities B. Hanberry https://doi.org/10.1016/j.ecolind.2021.108512
1108. The effect of climate change on the insecticide reduction goal in Southern Germany using the example of the pollen beetle L. Rasche et al. https://doi.org/10.1007/s41348-025-01075-4
1109. Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia P. Reggiani et al. https://doi.org/10.1002/joc.70261
1110. The simulation of mineral dust in the United Kingdom Earth System Model UKESM1 S. Woodward et al. https://doi.org/10.5194/acp-22-14503-2022
1111. Sustainable grazing strategies for balancing soil conservation and grassland utilization under climate change L. Liu et al. https://doi.org/10.1016/j.eja.2026.128062
1112. Increased aerosol scattering contributes to the recent monsoon rainfall decrease over the Gangetic Plain T. Ying et al. https://doi.org/10.1016/j.scib.2023.08.052
1113. Risk Assessment of Arctic Navigability under Different Emission Scenarios Simulated by CMIP6 Models from 2015 to 2100 千. 高 https://doi.org/10.12677/ccrl.2026.154077
1114. Highest ocean heat in four centuries places Great Barrier Reef in danger B. Henley et al. https://doi.org/10.1038/s41586-024-07672-x
1115. Future Landslide Characteristic Assessment Using Ensemble Climate Change Scenarios: A Case Study in Taiwan Y. Chen et al. https://doi.org/10.3390/w12020564
1116. Estimated climate impact of replacing agriculture as the primary food production system A. MacDougall et al. https://doi.org/10.1088/1748-9326/ac3aa5
1117. Typicality of the 2021 Western North America summer heatwave V. Lucarini et al. https://doi.org/10.1088/1748-9326/acab77
1118. Predicting the dissolved natural organic matter (DNOM) concentration and the specific ultraviolet absorption (sUVa) index in a browning central European stream S. Haaland et al. https://doi.org/10.1016/j.ecolind.2024.112200
1119. Invasion risk assessment, suitability regions prediction and influencing factors analysis of exotic sturgeon and paddlefish in the Yangtze River Basin L. Aopu et al. https://doi.org/10.18307/2023.0531
1120. Impacts of Mt Pinatubo volcanic aerosol on the tropical stratosphere in chemistry–climate model simulations using CCMI and CMIP6 stratospheric aerosol data L. Revell et al. https://doi.org/10.5194/acp-17-13139-2017
1121. Seasonal dynamics of Gulf Stream–Kuroshio SST coupling: the role of hemispheric atmospheric teleconnections M. Dong et al. https://doi.org/10.1007/s00382-026-08135-x
1122. Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.2
1123. Future large-scale atmospheric circulation changes and Greenland precipitation B. Huai et al. https://doi.org/10.1038/s41612-025-00899-z
1124. Seasonally dependent changes in the North Pacific subtropical anticyclone during the mid-Holocene: Dominant role of mid-latitude baroclinicity S. Liu & D. Jiang https://doi.org/10.1016/j.gloplacha.2025.105028
1125. Anthropogenic and urban controls on Japan’s surface warming over the past 130 years J. Yuan et al. https://doi.org/10.1016/j.cacint.2026.100369
1126. Sensitivity of Labrador Sea Water Formation to Changes in Model Resolution, Atmospheric Forcing, and Freshwater Input Y. Garcia‐Quintana et al. https://doi.org/10.1029/2018JC014459
1127. The distribution and driving climatic factors of agricultural drought in China: Past and future perspectives X. Yu et al. https://doi.org/10.1016/j.jenvman.2025.124599
1128. The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. https://doi.org/10.1029/2018MS001370
1129. Catastrophe risk models as quantitative tools for climate change loss and damage: A demonstration for flood in Malawi, Vietnam, and the Philippines E. Galloway et al. https://doi.org/10.63024/0y4e-cdqp
1130. On the Effects of Mixed and Deep Ocean Layers on Climate Change and Variability S. Soldatenko https://doi.org/10.3390/jmse10091216
1131. Predicting Naegleria fowleri freshwater habitat suitability in the United States for the present-day and future using ecological niche modeling L. Stahl et al. https://doi.org/10.1016/j.watres.2025.124018
1132. Contrasting Responses of Wind and Solar Energy Potential to Forestation-Induced Climate Feedbacks Z. Zhu et al. https://doi.org/10.1021/acs.est.5c12835
1133. Thermoeconomic optimization of climate-adaptive solar and wind multi-generation systems using artificial intelligence and thermal energy recovery E. Assareh et al. https://doi.org/10.1016/j.engappai.2025.112481
1134. Nutrient Limitations Lead to a Reduced Magnitude of Disequilibrium in the Global Terrestrial Carbon Cycle N. Wei et al. https://doi.org/10.1029/2021JG006764
1135. Assessing the Performance of Regional Climate Model Wind Speeds Over Canada M. Morris & E. Diaconescu https://doi.org/10.1002/joc.8912
1136. ENSO and PDO drive shoreline position anomalies in the US Pacific Northwest M. Taherkhani et al. https://doi.org/10.1093/pnasnexus/pgaf404
1137. Amplified seasonal range in precipitation minus evaporation R. Allan https://doi.org/10.1088/1748-9326/acea36
1138. Future changes in rainy season characteristics over East China under continuous warming J. Piao et al. https://doi.org/10.1007/s10584-023-03598-x
1139. Anthropogenic influence on compound dry and hot events in China based on Coupled Model Intercomparison Project Phase 6 models X. Wu et al. https://doi.org/10.1002/joc.7473
1140. Uncertainty decomposition and quantification of seasonal precipitation forecasting based on Bayesian neural networks E. Pinheiro & T. Ouarda https://doi.org/10.1016/j.atmosres.2026.108815
1141. Robustness of Competing Climatic States C. Ragon et al. https://doi.org/10.1175/JCLI-D-21-0148.1
1142. Assessing the Vulnerability of Water Balance to Climate Change at River Basin Scale in Humid Tropics: Implications for a Sustainable Water Future K. Sadhwani & T. Eldho https://doi.org/10.3390/su15119135
1143. Assessing hydrological interactions, soil erosion intensities, and vegetation dynamics in Nyabarongo River tributaries: a SWAT and RUSLE modeling approach S. Uwamahoro et al. https://doi.org/10.1007/s40808-024-02013-3
1144. Assessing the spatio-temporal variability of the monthly southern annular mode in coupled model intercomparison project phase 6 models D. Mbigi et al. https://doi.org/10.1007/s00703-026-01120-3
1145. Dust emission response to precipitation and temperature anomalies under different climatic conditions Y. Aryal & S. Evans https://doi.org/10.1016/j.scitotenv.2023.162335
1146. Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning C. Heuzé & C. Wong https://doi.org/10.5194/tc-19-6043-2025
1147. A novel method for ranking CMIP6 global climate models over the southeast Asian region Q. Desmet & T. Ngo‐Duc https://doi.org/10.1002/joc.7234
1148. Climate change will likely threaten areas of suitable habitats for the most relevant medicinal plants native to the Caatinga dry forest J. Silva et al. https://doi.org/10.15451/ec2022-06-11.15-1-24
1149. Internal Variability of the Climate System Mirrored in Decadal‐Scale Trends of Surface Solar Radiation B. Chtirkova et al. https://doi.org/10.1029/2023JD038573
1150. Greening of Eurasia's center driven by low-latitude climate warming S. Wang et al. https://doi.org/10.1016/j.fecs.2025.100330
1151. Climate simulations: recognize the ‘hot model’ problem Z. Hausfather et al. https://doi.org/10.1038/d41586-022-01192-2
1152. A novel multivariate ecological approach to modeling freshwater mussel habitats verified by ground truthing A. Laszlo et al. https://doi.org/10.1007/s10750-022-04913-w
1153. Differentiated Climate Drivers of Carbon and Water Use Efficiencies Across Land Use Types in the Yellow River Basin, China X. Tang et al. https://doi.org/10.3390/land14081614
1154. Effects of climate change on the ecological niche of common hornbeam (Carpinus betulus L.) D. Gülçin et al. https://doi.org/10.1016/j.ecoinf.2021.101478
1155. Simulations of shoaling large-amplitude internal waves: perspectives and outlook M. Stastna & S. Legare https://doi.org/10.1017/flo.2024.9
1156. Trophic interactions and climate-driven range dynamics of native and invasive catfish in freshwater ecosystems S. Başkurt et al. https://doi.org/10.3897/neobiota.105.174895
1157. Digital twins of the Earth with and for humans W. Hazeleger et al. https://doi.org/10.1038/s43247-024-01626-x
1158. Unraveling the coupled HighResMIP-CMIP6 models resolution impacts in present climate and future projections of water availability over South America N. da Silva et al. https://doi.org/10.3389/feart.2025.1537081
1159. Exposure of wetlands important for nonbreeding waterbirds to sea‐level rise in the Mediterranean F. Verniest et al. https://doi.org/10.1111/cobi.14288
1160. Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations A. A A et al. https://doi.org/10.1088/1748-9326/ab92c1
1161. Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data I. Mohammed et al. https://doi.org/10.5194/hess-27-3621-2023
1162. Assessing the Impacts of Land Cover and Climate Changes on Streamflow Dynamics in the Río Negro Basin (Colombia) Under Present and Future Scenarios B. Botero et al. https://doi.org/10.3390/hydrology12110281
1163. Reassessing water availability in the Nile River Basin using satellite-based irrigation water use accounting M. Deribe et al. https://doi.org/10.1088/2515-7620/ae9e8a
1164. Direct and Indirect Effects—An Information Theoretic Perspective G. Schamberg et al. https://doi.org/10.3390/e22080854
1165. Global Sensitivity Analysis Using the Ultra‐Low Resolution Energy Exascale Earth System Model I. Tezaur et al. https://doi.org/10.1029/2021MS002831
1166. Integrating explainable AI and causal inference to unveil regional air quality drivers in China Z. Fu et al. https://doi.org/10.1016/j.jenvman.2025.126270
1167. Spatiotemporal evolution of global soil heavy metal(loid)s mobility under climate change W. Jiao et al. https://doi.org/10.1016/j.envpol.2026.128828
1168. Future climate-driven escalation of Southeastern Siberia wildfires revealed by deep learning K. Gui et al. https://doi.org/10.1038/s41612-024-00815-x
1169. Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies M. Ashfaq et al. https://doi.org/10.1029/2022JD036659
1170. Projected increase in summer heat-dome-like stationary waves over Northwestern North America Z. Chen et al. https://doi.org/10.1038/s41612-023-00511-2
1171. Solar Radiation and Climate Change Research: A Comprehensive Bibliometric Analysis (1991–2025) A. Botsalı https://doi.org/10.3390/atmos17060597
1172. Past and future wheat yield losses in France’s breadbasket R. Nóia-Júnior et al. https://doi.org/10.1016/j.fcr.2024.109703
1173. Towards a fit-for-purpose fire simulator ecosystem H. Clarke et al. https://doi.org/10.1186/s42408-026-00566-5
1174. Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China Y. Meng et al. https://doi.org/10.1088/1748-9326/ac8e86
1175. Three billion urban residents can avoid unprecedented future heat H. Lewis & L. Harrington https://doi.org/10.1007/s10584-026-04176-7
1176. Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. https://doi.org/10.1007/s10113-022-02008-9
1177. GISS Model E2.2: A Climate Model Optimized for the Middle Atmosphere—2. Validation of Large‐Scale Transport and Evaluation of Climate Response C. Orbe et al. https://doi.org/10.1029/2020JD033151
1178. The impact of horizontal resolution on the representation of atmospheric circulation types in Western Europe using the MPI‐ESM model C. Ibebuchi https://doi.org/10.1002/joc.8214
1179. Predicting the future of the Caatinga endemic Melocactus pachyacanthus under climate and anthropogenic landscape changes F. Santos Bomfim et al. https://doi.org/10.1007/s44396-026-00042-z
1180. Deriving High-Resolution Estimation of TOA Net Shortwave Radiation Over Global Land Using Data From Multiple-Geostationary Satellites Y. Zheng et al. https://doi.org/10.1109/TGRS.2024.3440329
1181. Engaging with stakeholders to produce actionable science: a framework and guidance A. Bamzai-Dodson et al. https://doi.org/10.1175/WCAS-D-21-0046.1
1182. Effects of human activities and low-frequency climate variability on East Asian temperature changes at century scale C. Lu & Y. Sun https://doi.org/10.1016/j.accre.2025.04.002
1183. Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6 I. Nooni et al. https://doi.org/10.3390/ijerph18136760
1184. Do Meteorological, Agricultural, and Hydrological Indicators All Point to an Increased Frequency and Intensity of Droughts Across Canada Under a Changing Climate? B. Bonsal et al. https://doi.org/10.1080/07055900.2025.2453678
1185. Historical and projected changes in Extreme High Temperature events over East Africa and associated with meteorological conditions using CMIP6 models P. Das et al. https://doi.org/10.1016/j.gloplacha.2023.104068
1186. Data-driven stochastic model for cross-interacting processes with different time scales A. Gavrilov et al. https://doi.org/10.1063/5.0077302
1187. Reduced Arctic Ocean CO2 uptake due to coastal permafrost erosion D. Nielsen et al. https://doi.org/10.1038/s41558-024-02074-3
1188. Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44 J. Baño-Medina et al. https://doi.org/10.5194/gmd-15-6747-2022
1189. Increased impact of the El Niño–Southern Oscillation on global vegetation under future warming environment T. Le https://doi.org/10.1038/s41598-023-41590-8
1190. Effect of anthropogenic forcing on increased winter precipitation in Southeast Asia from 1979 to 2014 Z. Dong et al. https://doi.org/10.3389/fenvs.2022.1115698
1191. Relative Impacts of Simultaneous Stressors on a Pelagic Marine Ecosystem P. Woodworth-Jefcoats et al. https://doi.org/10.3389/fmars.2019.00383
1192. Les pertes économiques contemporaines et futures liées aux passages des cyclones tropicaux : une étude de cas pour La Réunion I. Fontaine et al. https://doi.org/10.3917/reco.753.0425
1193. Glacier melt trough after overshoot A. Lutz https://doi.org/10.1038/s41558-025-02312-2
1194. Understanding Surface Air Temperature Cold Bias Over China in CMIP6 Models L. Wang et al. https://doi.org/10.1029/2023JD039515
1195. Historical and projected low-frequency variability in the Somali Jet and Indian Summer Monsoon S. Jain et al. https://doi.org/10.1007/s00382-020-05492-z
1196. Historical performance and future climate projections from CMIP6 models in central-eastern Argentina G. Müller et al. https://doi.org/10.1071/ES25027
1197. Rapid climate change alters the environment and biological production of the Indian Ocean P. Dalpadado et al. https://doi.org/10.1016/j.scitotenv.2023.167342
1198. Arctic sea ice–air interactions weaken El Niño–Southern Oscillation J. Deng & A. Dai https://doi.org/10.1126/sciadv.adk3990
1199. Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al. https://doi.org/10.5194/acp-26-2293-2026
1200. Emerging global freshwater challenges unveiled through observation-constrained projections F. Huo et al. https://doi.org/10.5194/esd-17-291-2026
1201. Incorporating plant phenological responses into species distribution models reduces estimates of future species loss and turnover S. Peng et al. https://doi.org/10.1111/nph.19698
1202. The effect of climate change on Arcto‐Tertiary Mexican beech forests: Exploring their past, present, and future distribution F. Ames‐Martínez et al. https://doi.org/10.1002/ece3.9228
1203. The effect of rapid adjustments to halocarbons and N2O on radiative forcing Ø. Hodnebrog et al. https://doi.org/10.1038/s41612-020-00150-x
1204. Identifying thermal traps and refugia for enhancing climate connectivity to mitigate species' heat exposure risk in natural landscapes X. Lu et al. https://doi.org/10.1016/j.eiar.2026.108680
1205. Reviews and syntheses: Carbonyl sulfide as a multi-scale tracer for carbon and water cycles M. Whelan et al. https://doi.org/10.5194/bg-15-3625-2018
1206. Causes of model dry and warm bias over central U.S. and impact on climate projections Y. Lin et al. https://doi.org/10.1038/s41467-017-01040-2
1207. Evaluation and projections of summer daily precipitation over Northeastern China in an optimal CMIP6 Multimodel Ensemble Z. LI & X. Jiao https://doi.org/10.1007/s00382-024-07201-6
1208. Projected Changes in Socioeconomic Exposure to Heatwaves in South Asia Under Changing Climate I. Ullah et al. https://doi.org/10.1029/2021EF002240
1209. Unraveling the Arctic Sea Ice Change since the Middle of the Twentieth Century N. Kong & W. Liu https://doi.org/10.3390/geosciences13020058
1210. Assessment of climate biases in OpenIFS version 43r3 across model horizontal resolutions and time steps A. Savita et al. https://doi.org/10.5194/gmd-17-1813-2024
1211. Evaluating Climate Models with the CLIVAR 2020 ENSO Metrics Package Y. Planton et al. https://doi.org/10.1175/BAMS-D-19-0337.1
1212. The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.166820
1213. Impacts of Climate Change on the Potential Distribution of Three Cytospora Species in Xinjiang, China Q. Li et al. https://doi.org/10.3390/f15091617
1214. Using Machine Learning to Make Computationally Inexpensive Projections of 21st Century Stratospheric Column Ozone Changes in the Tropics J. Keeble et al. https://doi.org/10.3389/feart.2020.592667
1215. Spurious Late Historical‐Era Warming in CESM2 Driven by Prescribed Biomass Burning Emissions J. Fasullo et al. https://doi.org/10.1029/2021GL097420
1216. Equilibrium climate sensitivity above 5 °C plausible due to state-dependent cloud feedback J. Bjordal et al. https://doi.org/10.1038/s41561-020-00649-1
1217. The impacts of plant physiological responses to rising CO2 on humidity-based extreme heat A. Cornish et al. https://doi.org/10.1038/s41612-025-01018-8
1218. Detecting Relationship between the North–South Difference in Extreme Precipitation and Solar Cycle in China J. Liu et al. https://doi.org/10.3390/atmos15020175
1219. The CAMS Climate System Model and a Basic Evaluation of Its Climatology and Climate Variability Simulation X. Rong et al. https://doi.org/10.1007/s13351-018-8058-x
1220. Dynamical downscaling of CMIP6 scenarios with ENEA-REG: an impact-oriented application for the Med-CORDEX region A. Anav et al. https://doi.org/10.1007/s00382-023-07064-3
1221. Building and urban simulation under future climate: A novel statistical downscaling method for future hourly weather data generation P. Shen https://doi.org/10.1007/s12273-025-1277-z
1222. Warming waters of the Central Karakoram: modeling streamflow responses of the Shigar Basin, northern Pakistan to climate change M. Afreen et al. https://doi.org/10.1186/s40068-026-00467-1
1223. Impact of soil temperature and moisture in autumn on the following spring extreme precipitation in the arid area of Northwest China S. Wu et al. https://doi.org/10.1007/s00382-026-08314-w
1224. Investigating the Effect of Climate Change on Drought Propagation in the Tarim River Basin Using Multi-Model Ensemble Projections X. Ding et al. https://doi.org/10.3390/atmos15010050
1225. Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches J. González‐Abad et al. https://doi.org/10.1029/2023MS003641
1226. Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6 A. Cannon https://doi.org/10.1088/1748-9326/ab7e4f
1227. Risks of unavoidable impacts on forests at 1.5 °C with and without overshoot G. Munday et al. https://doi.org/10.1038/s41558-025-02327-9
1228. Arctic summer sea ice loss will accelerate in coming decades A. Poltronieri et al. https://doi.org/10.1088/1748-9326/ad5194
1229. Revisiting the value of climate mitigation: labor productivity and health co-benefits from heat exposure in Asia C. Fu & X. Wang https://doi.org/10.1016/j.eap.2026.07.044
1230. Global CMIP6-based datasets of vegetation-responsive and feedback-deflated potential evapotranspiration D. Kim et al. https://doi.org/10.1038/s41597-026-07553-0
1231. Implications of global climate change to local archaeology: why melting arctic sea ice matters to the practice of Southeastern archaeology L. Cochran https://doi.org/10.1080/0734578X.2026.2662715
1232. Multifaceted characteristics of dryland aridity changes in a warming world X. Lian et al. https://doi.org/10.1038/s43017-021-00144-0
1233. Accelerated Greenland Ice Sheet melt influences South Asian precipitation S. Shrayasi et al. https://doi.org/10.1088/2752-5295/ae679a
1234. An 8-model ensemble of CMIP6-derived ocean surface wave climate A. Meucci et al. https://doi.org/10.1038/s41597-024-02932-x
1235. Coupling PLUS–InVEST Model for Ecosystem Service Research in Yunnan Province, China R. Wang et al. https://doi.org/10.3390/su15010271
1236. CMIP6 captures the satellite-era jet slowdown and Arctic amplification, yet projects future jet speedup and tropical amplification R. Robinson et al. https://doi.org/10.1007/s00382-023-06839-y
1237. Species distribution modeling of two rare endemic Myrtaceae from the Brazilian Atlantic Forest: challenges in conserving “invisible species” A. Augustin et al. https://doi.org/10.1016/j.flora.2025.152854
1238. Evolution and drivers of surface solar radiation over China since the mid-twentieth century A. Li et al. https://doi.org/10.1007/s00382-026-08318-6
1239. Improving simulation of Earth system variability through weakly coupled ocean data assimilation in E3SM P. Shi et al. https://doi.org/10.5194/gmd-19-8003-2026
1240. Prediction of Potential Suitable Areas of Medicinal Plants of Gentiana Sect. Cruciata in China Under Climate Change L. Zhou et al. https://doi.org/10.3390/d18090540
1241. Uncertainties in the Projected Patterns of Wave-Driven Longshore Sediment Transport Along a Non-straight Coastline A. Zarifsanayei et al. https://doi.org/10.3389/fmars.2022.832193
1242. Role of sea surface temperature patterns for the Southern Hemisphere jet stream response to CO2 forcing T. Wood et al. https://doi.org/10.1088/1748-9326/abce27
1243. Attributing decadal climate variability in coastal sea-level trends S. Royston et al. https://doi.org/10.5194/os-18-1093-2022
1244. A drier Orinoco basin during the twenty-first century: the role of the Orinoco low-level jet I. Correa et al. https://doi.org/10.1007/s00382-023-07028-7
1245. Back to the Future: Using Long-Term Observational and Paleo-Proxy Reconstructions to Improve Model Projections of Antarctic Climate T. Bracegirdle et al. https://doi.org/10.3390/geosciences9060255
1246. Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian https://doi.org/10.5194/hess-28-669-2024
1247. A Few Frontier Issues in Ocean Engineering Mechanics J. Li & B. Nie https://doi.org/10.1007/s13344-021-0001-8
1248. Projected Climate Change Impacts on Rainwater Harvesting in Brazilian Single-Family Houses I. Vaz et al. https://doi.org/10.3390/w18070792
1249. Back-to-back high category atmospheric river landfalls occur more often on the west coast of the United States Y. Zhou et al. https://doi.org/10.1038/s43247-024-01368-w
1250. Performance evaluation of CMIP6 in simulating extreme precipitation in Madagascar M. Rabezanahary Tanteliniaina et al. https://doi.org/10.1007/s00704-024-04868-z
1251. Projected Changes in the Atmospheric Dynamics of Climate Extremes in France P. Yiou et al. https://doi.org/10.3390/atmos12111440
1252. Teleconnection and the Antarctic response to the Indian Ocean Dipole in CMIP5 and CMIP6 models A. Sen et al. https://doi.org/10.1002/qj.4854
1253. Evaluation and selection of CMIP6 GCMs for the characterization of temperature and precipitation in Central-Western Argentina G. Marianetti et al. https://doi.org/10.1007/s00704-024-05123-1
1254. Representation of the Mozambique channel trough and its link to southern African rainfall in CMIP6 models R. Barimalala et al. https://doi.org/10.1007/s00382-022-06480-1
1255. Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO F. Wu et al. https://doi.org/10.2166/nh.2023.140
1256. FIO‐ESM Version 2.0: Model Description and Evaluation Y. Bao et al. https://doi.org/10.1029/2019JC016036
1257. Prediction and Influencing Factors of Precipitation in the Songliao River Basin, China: Insights from CMIP6 H. Yang & Z. Li https://doi.org/10.3390/su17052297
1258. Assessing risk from invasive alien plants in China: Reconstructing invasion history and estimating distribution patterns of Lolium temulentum and Aegilops tauschii M. Yang et al. https://doi.org/10.3389/fpls.2023.1113567
1259. How climate change will change the potential distribution of two wood-decaying fungi? D. Santos et al. https://doi.org/10.1590/1677-941x-abb-2023-0021
1260. A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations J. Wang et al. https://doi.org/10.1038/s41612-025-01164-z
1261. Earth's future climate and its variability simulated at 9 km global resolution J. Moon et al. https://doi.org/10.5194/esd-16-1103-2025
1262. Deterministic and stochastic components of atmospheric CO2 inside forest canopies and consequences for predicting carbon and water exchange E. Muñoz & C. Sierra https://doi.org/10.1016/j.agrformet.2023.109624
1263. Modeling the impact of climate change on the distribution of feather grass in Yazd Province, Iran: insights from species distribution and climate forecasting models S. Zarekia et al. https://doi.org/10.1007/s00704-025-05956-4
1264. More Frequent Abrupt Marine Environmental Changes Expected C. Heinze et al. https://doi.org/10.1029/2023GL106192
1265. Assessment of hydrographic features in OMIP2 models in the Tropical Indian Ocean B. Madhu et al. https://doi.org/10.1007/s10236-025-01664-9
1266. Increased ENSO sea surface temperature variability under four IPCC emission scenarios W. Cai et al. https://doi.org/10.1038/s41558-022-01282-z
1267. Central-Pacific El Niño-Southern Oscillation less predictable under greenhouse warming H. Chen et al. https://doi.org/10.1038/s41467-024-48804-1
1268. Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE https://doi.org/10.2151/jmsj.2020-059
1269. Reconstructed temperature change in late summer over the eastern Tibetan Plateau since 1867 CE and the role of anthropogenic forcing H. Yin et al. https://doi.org/10.1016/j.gloplacha.2021.103715
1270. On the relation of CMIP6 GCMs errors at RCM driving boundary condition zones and inner region for Central Europe region E. Holtanová et al. https://doi.org/10.1007/s00382-024-07216-z
1271. Future patterns of grassland fire occurrence in Inner Mongolia, China C. Chang et al. https://doi.org/10.1007/s11069-025-07713-2
1272. How Can Climate Change Limit the Distribution of Cooperative Pseudoscorpions in Brazil? E. Bedoya-Roqueme & E. Tizo-Pedroso https://doi.org/10.1007/s13744-022-01006-0
1273. MaxEnt modeling for habitat suitability assessment of threatened Dipterocarpus species in the Indian East Himalayas A. Hazarika et al. https://doi.org/10.1007/s10531-024-02997-5
1274. Global warming driving increased winter CO₂ emissions in the Northern Hemisphere permafrost region Y. Wei et al. https://doi.org/10.59717/j.xinn-geo.2026.100185
1275. Linking sea level rise and socioeconomic indicators under the Shared Socioeconomic Pathways A. Nauels et al. https://doi.org/10.1088/1748-9326/aa92b6
1276. Climate risk assessment of China’s Cultural World Heritage highlights urgent need for adaptation T. Lei et al. https://doi.org/10.1038/s40494-026-02512-9
1277. Implications of CMIP6 Projected Drying Trends for 21st Century Amazonian Drought Risk L. Parsons https://doi.org/10.1029/2020EF001608
1278. Long-term hydroclimatic projections and climate change scenarios at regional scale in Morocco P. Pérez-Cutillas & A. Salhi https://doi.org/10.1016/j.jenvman.2024.123254
1279. The impact of Climate Change on extreme winds over northern Europe according to CMIP6 X. Larsén et al. https://doi.org/10.3389/fenrg.2024.1404791
1280. Modeling climate impacts on ecosystem services in an anthropized coastal lagoon for effective planning and adaptation I. Jiménez-Navarro et al. https://doi.org/10.1007/s10584-025-03926-3
1281. A Reconstructing Model Based on Time–Space–Depth Partitioning for Global Ocean Dissolved Oxygen Concentration Z. Wang et al. https://doi.org/10.3390/rs16020228
1282. The climate system and the second law of thermodynamics M. Singh & M. O’Neill https://doi.org/10.1103/RevModPhys.94.015001
1283. Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product G. Uchale et al. https://doi.org/10.1029/2023JG007468
1284. Regional Cooperation for Climate Mitigation: Potential to Slow Future Warming in South Asia X. Fan et al. https://doi.org/10.34133/ehs.0401
1285. Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. https://doi.org/10.5194/acp-22-12543-2022
1286. How Does El Niño–Southern Oscillation Change Under Global Warming—A First Look at CMIP6 H. Fredriksen et al. https://doi.org/10.1029/2020GL090640
1287. Intercomparison of the representations of the atmospheric chemistry of pre-industrial methane and ozone in earth system and other global chemistry-transport models R. Derwent et al. https://doi.org/10.1016/j.atmosenv.2021.118248
1288. Temperature and Prey Species Richness Drive the Broad-Scale Distribution of a Generalist Predator D. Michailidou et al. https://doi.org/10.3390/d13040169
1289. Interdecadal variability of the warm Arctic-cold Eurasia pattern linked to the Barents oscillation Z. Cai et al. https://doi.org/10.1016/j.atmosres.2023.106712
1290. The unidentified eruption of 1809: a climatic cold case C. Timmreck et al. https://doi.org/10.5194/cp-17-1455-2021
1291. Assessment of Top of Atmosphere, Atmospheric and Surface Energy Budgets in CMIP6 Models on Regional Scales D. Li et al. https://doi.org/10.1029/2022EA002758
1292. Identification and quantification of compound extreme climatic events considering spatial–temporal proximity effect Z. Zhao et al. https://doi.org/10.1016/j.jhydrol.2025.134327
1293. Projected changes in flooding: a continental U.S. perspective G. Villarini & W. Zhang https://doi.org/10.1111/nyas.14359
1294. Widespread shift from ecosystem energy to water limitation with climate change J. Denissen et al. https://doi.org/10.1038/s41558-022-01403-8
1295. Climate change projections over mid-high latitudes Northern Asia using an ensemble of RegCM5 simulations X. Tang et al. https://doi.org/10.1016/j.accre.2025.12.001
1296. Varying contributions of greenhouse gases, aerosols and natural forcings to Arctic land surface air temperature changes L. Yu et al. https://doi.org/10.1088/1748-9326/aca2c3
1297. Anatomy and assessment of surface water and energy balance components simulated by CMIP6 models in Pan Third Pole Z. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.132656
1298. GCAP 2.0: a global 3-D chemical-transport model framework for past, present, and future climate scenarios L. Murray et al. https://doi.org/10.5194/gmd-14-5789-2021
1299. Dynamic Changes, Spatial Clustering and Fragmentation Patterns of African Forests Under Different Shared Socioeconomic Pathway Scenarios W. Zhou et al. https://doi.org/10.3390/d18070406
1300. An evaluation of statistical and deep learning-based correction of monthly precipitation over the Yangtze River basin in China based on CMIP6 GCMs A. He et al. https://doi.org/10.1007/s10668-024-05005-6
1301. Evaluation of CMIP6 Climate Models and Projected IDF Changes under Climate Change: A Case Study from Monsoon-Dominated Goa, India A. Balvanshi et al. https://doi.org/10.1061/JHYEFF.HEENG-6688
1302. Disproportionate increase of flood-exposed population in Chinese cities under urban expansion and climate variation Z. She et al. https://doi.org/10.1016/j.ecolind.2025.113314
1303. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. https://doi.org/10.5194/gmd-14-6515-2021
1304. East Asian summer monsoon enhanced by COVID-19 C. He et al. https://doi.org/10.1007/s00382-022-06247-8
1305. The footprint of human-induced climate change on heat-related deaths in the summer of 2022 in Switzerland A. Vicedo-Cabrera et al. https://doi.org/10.1088/1748-9326/ace0d0
1306. Storylines of projected summer warming in Iberia using atmospheric circulation, soil moisture and sea surface temperature as drivers of uncertainty J. Garrido-Perez et al. https://doi.org/10.1016/j.atmosres.2024.107677
1307. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al. https://doi.org/10.5194/esd-12-253-2021
1308. Economic-boom-driven electricity demand linked to urban air pollution and health in India B. Swain et al. https://doi.org/10.1038/s44284-026-00518-9
1309. Coupled Covariation of Tropical and Extratropical Climate Responses to Warming: Transformation of Late-20th-century Climatological Trends C. Wu & P. Tsai https://doi.org/10.1007/s41748-026-01223-2
1310. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. https://doi.org/10.1029/2019GL085806
1311. Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models B. Ayugi et al. https://doi.org/10.1007/s11069-022-05341-8
1312. Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal S. Bastola et al. https://doi.org/10.1016/j.ejrh.2025.102717
1313. Projected Increases in Monthly Midlatitude Summertime Temperature Variance Over Land Are Driven by Local Thermodynamics L. Vargas Zeppetello & D. Battisti https://doi.org/10.1029/2020GL090197
1314. Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks T. Hajima et al. https://doi.org/10.5194/gmd-13-2197-2020
1315. Sea surface temperature predictability assessment with an ensemble machine learning method using climate model simulations F. Boschetti et al. https://doi.org/10.1016/j.dsr2.2023.105308
1316. A Refined Understanding of the Ice Cloud Longwave Scattering Effects in Climate Model C. Fan et al. https://doi.org/10.1029/2023MS003810
1317. Climate-driven chemistry and aerosol feedbacks in CMIP6 Earth system models G. Thornhill et al. https://doi.org/10.5194/acp-21-1105-2021
1318. Dominant role of early winter Barents–Kara sea ice extent anomalies in subsequent atmospheric circulation changes in CMIP6 models S. Delhaye et al. https://doi.org/10.1007/s00382-023-06904-6
1319. A parsimonious model for springs discharge reconstruction and forecast for drought management: Lessons from a case study in Central Italy N. Guyennon et al. https://doi.org/10.1016/j.ejrh.2024.102021
1320. Role of Pacific Ocean climate in regulating runoff in the source areas of water transfer projects on the Pacific Rim F. Chen et al. https://doi.org/10.1038/s41612-024-00706-1
1321. The Atmospheric Infrared Sounder Obs4MIPs Version 2 Data Set B. Tian et al. https://doi.org/10.1029/2018EA000508
1322. Little Change in Apparent Hydrological Sensitivity at Large CO2 Forcing D. Raiter et al. https://doi.org/10.1029/2023GL104954
1323. Enhancing Arctic Ice Extent Predictions: Leveraging Time Series Analysis and Deep Learning Architectures B. Ahanda et al. https://doi.org/10.3390/glacies2040012
1324. Projections of Future Air Quality Are Uncertain. But Which Source of Uncertainty Is Most Important? R. Doherty et al. https://doi.org/10.1029/2022JD037948
1325. Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al. https://doi.org/10.5194/nhess-24-1555-2024
1326. ENSO phase-locking behavior in climate models: from CMIP5 to CMIP6 M. Liu et al. https://doi.org/10.1088/2515-7620/abf295
1327. Modern and Future Climate Change in the Leningrad Oblast and Its Impact on Agroclimatic Characteristics V. Lobanov et al. https://doi.org/10.3103/S106837392309008X
1328. Impact of climate and Aedes albopictus establishment on dengue and chikungunya outbreaks in Europe: a time-to-event analysis Z. Farooq et al. https://doi.org/10.1016/S2542-5196(25)00059-2
1329. Assessing the climate change impact on Epimedium brevicornu in China with the MaxEnt model Q. Liu et al. https://doi.org/10.3389/fpls.2025.1534608
1330. Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions M. Sonnewald et al. https://doi.org/10.1029/2018EA000519
1331. Nitrogen cycling in CMIP6 land surface models: progress and limitations T. Davies-Barnard et al. https://doi.org/10.5194/bg-17-5129-2020
1332. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. https://doi.org/10.1007/s00382-022-06634-1
1333. Projected changes of precipitation extremes in North America using CMIP6 multi-climate model ensembles J. Zhao et al. https://doi.org/10.1016/j.jhydrol.2023.129598
1334. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. https://doi.org/10.5194/esd-10-379-2019
1335. Amazon-wide distribution patterns of understory plants: Effects of soils and changing climate R. Gupta et al. https://doi.org/10.21425/fob.19.188764
1336. Historical High-Resolution Daily SST Analysis (COBE-SST3) with Consistency to Monthly Land Surface Air Temperature M. ISHII et al. https://doi.org/10.2151/jmsj.2025-002
1337. Progress in climate modelling G. Simpkins https://doi.org/10.1038/nclimate3398
1338. 基于CMIP6的中高温升情景对中国未来径流的预估 嘉. 周 et al. https://doi.org/10.1360/SSTe-2022-0065
1339. Structure of scientific knowledge flows to intergovernmental organizations K. Asatani et al. https://doi.org/10.1073/pnas.2514861123
1340. Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach A. Doury et al. https://doi.org/10.1007/s00382-022-06343-9
1341. An integrated assessment of hydro-meteorological extremes and water scarcity in a mountainous river catchment under climate change P. Prakash & V. Chembolu https://doi.org/10.1080/02626667.2025.2566263
1342. It is high time we monitor the deep ocean C. Heuzé et al. https://doi.org/10.1088/1748-9326/aca622
1343. El Niño-like warming underestimated in a warmer climate due to ENSO rectification effect Y. Chen et al. https://doi.org/10.1038/s41612-025-01250-2
1344. Regional grid refinement in an Earth system model: impacts on the simulated Greenland surface mass balance L. van Kampenhout et al. https://doi.org/10.5194/tc-13-1547-2019
1345. A climate modeling study over Northern Africa and the Mediterranean basin with multi-physics ensemble and coupling to a regional ocean modeling system F. Xie et al. https://doi.org/10.3389/feart.2023.1200004
1346. Influence of Antarctic amplification on Extreme temperature in the Southern Hemisphere J. Zhu et al. https://doi.org/10.1016/j.gloplacha.2025.104993
1347. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed P. Modi et al. https://doi.org/10.1016/j.ejrh.2021.100830
1348. Atlantic multidecadal variability controls Arctic-ENSO connection S. Chen et al. https://doi.org/10.1038/s41612-025-00936-x
1349. Climate change favours large seasonal loss of Arctic ozone P. von der Gathen et al. https://doi.org/10.1038/s41467-021-24089-6
1350. Current and future spatial dynamics of the edaphoclimatic distribution of Ceiba pentandra in the geographical department of Amazonas, Peru A. Vergara et al. https://doi.org/10.3389/ffgc.2026.1835040
1351. Taking globally consistent health impact projections to the next level J. Rocklöv et al. https://doi.org/10.1016/S2542-5196(21)00171-6
1352. A Seasonal to Decadal Calibration of 1990–2100 Eastern Canadian Freshwater Discharge Simulations by Observations, Data Models, and Neural Networks R. Danielson et al. https://doi.org/10.1080/07055900.2025.2521502
1353. Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. https://doi.org/10.1016/j.wace.2022.100484
1354. Anthropogenic influence of temperature changes across East Asia using CMIP6 simulations S. Allabakash & S. Lim https://doi.org/10.1038/s41598-022-16110-9
1355. A physically constrained multivariate bias correction framework for projecting compound drought and heatwave risk in the Yangtze River Basin Y. Zhuo et al. https://doi.org/10.1016/j.jhydrol.2026.136475
1356. Performance evaluation of CMIP6 GCMs and projection of precipitation extremes over the Jemma sub-basin, Upper Blue Nile basin of Ethiopia J. Mohammed et al. https://doi.org/10.1016/j.pce.2026.104821
1357. Reversed Holocene temperature–moisture relationship in the Horn of Africa A. Baxter et al. https://doi.org/10.1038/s41586-023-06272-5
1358. Atmospheric oxygen constraints on Southern Ocean productivity and drivers of carbon uptake Y. Jin et al. https://doi.org/10.1038/s41561-026-01944-z
1359. Rising geopotential height under global warming C. He et al. https://doi.org/10.1007/s00382-024-07175-5
1360. Breeding priorities for rice adaptation to climate change in Northeast China X. Dong et al. https://doi.org/10.1007/s10584-023-03556-7
1361. Evaluation of multidimensional simulations of summer air temperature in China from CMIP5 to CMIP6 by the BCC models: From trends to modes Y. Liu et al. https://doi.org/10.1016/j.accre.2021.12.001
1362. Cumulative impacts to global marine ecosystems projected to more than double by mid-century B. Halpern et al. https://doi.org/10.1126/science.adv2906
1363. Weakened relationship of the monopole pattern of spring extreme heat events over mid-to-high latitude Eurasia with winter North Pacific tripolar sea surface temperature anomalies after the late 1990s S. Liu & J. Sun https://doi.org/10.1007/s00382-026-08333-7
1364. The emergence of human influence on the ozone layer by the 1960s J. Guan et al. https://doi.org/10.1073/pnas.2608286123
1365. Time‐Evolving Radiative Feedbacks in the Historical Period P. Salvi et al. https://doi.org/10.1029/2023JD038984
1366. Automatic data matching for geospatial models: a new paradigm for geospatial data and models sharing Y. Zhu & J. Yang https://doi.org/10.1080/19475683.2019.1670735
1367. RCGAN: A generative adversarial framework for multi-variable bias correction in CMIP6 climate projections J. Liu et al. https://doi.org/10.1016/j.envsoft.2026.107171
1368. ENSO amplifies global vegetation resilience variability in a changing climate W. Zhou et al. https://doi.org/10.1038/s41467-025-66987-z
1369. Monotonic Increase of Extreme Precipitation Intensity With Temperature When Controlled for Saturation Deficit G. Wang & X. Sun https://doi.org/10.1029/2022GL097881
1370. Northern Hemisphere blocking simulation in current climate models: evaluating progress from the Climate Model Intercomparison Project Phase 5 to 6 and sensitivity to resolution R. Schiemann et al. https://doi.org/10.5194/wcd-1-277-2020
1371. Assessments on simulation of Pacific blocking frequency during boreal winter in CMIP6 climate models M. Gao et al. https://doi.org/10.1016/j.dynatmoce.2022.101333
1372. Building Climate-Resilient Solar–Wind Hybrid Energy Systems Across Monsoon-Affected Regions of Vietnam, Thailand, the Philippines, and Indonesia G. Hao et al. https://doi.org/10.3390/pr14040682
1373. Strengthening of favorable environments for North Atlantic tropical cyclogenesis in midlatitudes in a warmer climate A. Montoro-Mendoza et al. https://doi.org/10.1038/s41612-025-01317-0
1374. Intense touristic activities exceed climate change to shape aquatic communities in a mountain lake V. Frossard et al. https://doi.org/10.1007/s00027-023-00968-6
1375. Pattern-level contrasts in emergy efficiency and scenario-based disturbance-response sensitivity in karst vegetation restoration patterns under climate change and market perturbations B. Su et al. https://doi.org/10.1016/j.ecoleng.2026.108171
1376. Changes in the Tropical Lapse Rate due to Entrainment and Their Impact on Climate Sensitivity J. Bao et al. https://doi.org/10.1029/2021GL094969
1377. South Pacific Convergence Zone dynamics, variability and impacts in a changing climate J. Brown et al. https://doi.org/10.1038/s43017-020-0078-2
1378. Environments conductive to tropical transitions in the North Atlantic: Anthropogenic climate change influence study A. Montoro-Mendoza et al. https://doi.org/10.1016/j.atmosres.2024.107609
1379. Circulation type analysis of regional hydrology: the added value in using CMIP6 over CMIP5 simulations as exemplified from the MPI-ESM-LR model C. Ibebuchi https://doi.org/10.2166/wcc.2021.262
1380. Top‐of‐Atmosphere Radiation Budget and Cloud Radiative Effects Over the Tibetan Plateau and Adjacent Monsoon Regions From CMIP6 Simulations J. Li et al. https://doi.org/10.1029/2020JD034345
1381. The assessment of simulated thermocline depth over southwestern tropical Indian Ocean in CMIP models Y. Wang et al. https://doi.org/10.1088/2515-7620/ae47ad
1382. Tripling of MJO residence time over the rapidly warming Indian Ocean during summer monsoon W. Zhang et al. https://doi.org/10.1016/j.scib.2025.01.043
1383. The performance of CMIP6 models in simulating surface energy fluxes over global continents S. Liu et al. https://doi.org/10.1007/s00382-022-06595-5
1384. Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models F. Forgioni et al. https://doi.org/10.1002/joc.70149
1385. Conservation of heat and mass in P-SKRIPS version 1: the coupled atmosphere–ice–ocean model of the Ross Sea A. Malyarenko et al. https://doi.org/10.5194/gmd-16-3355-2023
1386. Atlantic zonal mode-monsoon teleconnection in a warming scenario C. Sabeerali et al. https://doi.org/10.1007/s00382-021-05996-2
1387. A Hierarchical Statistical Framework for Emergent Constraints: Application to Snow‐Albedo Feedback K. Bowman et al. https://doi.org/10.1029/2018GL080082
1388. Extreme precipitation projections in Asian subregions: Review on CMIP6 development, geographic patterns, and research gaps A. Tandon et al. https://doi.org/10.1016/j.pce.2025.104148
1389. Approximating 3D bedrock deformation in an Antarctic ice-sheet model for projections C. van Calcar et al. https://doi.org/10.5194/tc-20-757-2026
1390. High-resolution land use and land cover dataset for regional climate modelling: historical and future changes in Europe P. Hoffmann et al. https://doi.org/10.5194/essd-15-3819-2023
1391. Greenland summer blocking characteristics: an evaluation of a high-resolution multi-model ensemble L. Luu et al. https://doi.org/10.1007/s00382-024-07453-2
1392. Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study X. Yepes-Arbós et al. https://doi.org/10.5194/gmd-15-379-2022
1393. Challenges simulating the AMOC in climate models L. Jackson et al. https://doi.org/10.1098/rsta.2022.0187
1394. Exploring causes of distinct regional and subseasonal Indian summer monsoon precipitation responses to CO2 removal S. Paik et al. https://doi.org/10.1038/s41612-024-00858-0
1395. Projected heatwave hazards in an eastern Amazonian metropolis under contrasting CMIP6 scenarios E. de Souza et al. https://doi.org/10.1038/s41598-026-57944-x
1396. Simulation of climate changes in Northern Eurasia by two versions of the INM RAS Earth system model V. Bragina et al. https://doi.org/10.1007/s00382-024-07306-y
1397. Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts D. Gergel et al. https://doi.org/10.5194/gmd-17-191-2024
1398. Uncertainty reduction for precipitation prediction in North America D. Lou et al. https://doi.org/10.1371/journal.pone.0301759
1399. Anthropogenic influence would increase intense snowfall events over parts of the Northern Hemisphere in the future H. Chen et al. https://doi.org/10.1088/1748-9326/abbc93
1400. Evaluating the phase evolution of CMIP GCMs for agricultural climate-change impact assessments in China L. Yao et al. https://doi.org/10.1016/j.agrformet.2024.110282
1401. CMIP6 Model-projected Hydroclimatic and Drought Changes and Their Causes in the 21st Century T. Zhao & A. Dai https://doi.org/10.1175/JCLI-D-21-0442.1
1402. Assessing the climate sensitivity of wind power resources: Multi scenario-based analysis via bias-corrected CMIP6 scenarios V. Kartal et al. https://doi.org/10.1016/j.esr.2026.102151
1403. Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China B. Su et al. https://doi.org/10.1016/j.atmosres.2020.105375
1404. Through space and time: Predicting numbers of an eruptive pine tree pest and its predator under changing climate conditions H. Munro et al. https://doi.org/10.1016/j.foreco.2020.118770
1405. The simulation of the Indo-Pacific warm pool SST warming trend in CMIP5 and CMIP6 W. Bai et al. https://doi.org/10.1186/s40562-024-00346-6
1406. Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. https://doi.org/10.5194/hess-26-2319-2022
1407. Zonal current structure of the Indian Ocean in CMIP6 models J. Zhang & C. Wang https://doi.org/10.1016/j.dsr2.2023.105260
1408. A rapidly closing window for coral persistence under global warming Y. Bozec et al. https://doi.org/10.1038/s41467-025-65015-4
1409. ACCESS datasets for CMIP6: methodology and idealised experiments C. Mackallah et al. https://doi.org/10.1071/ES21031
1410. Frequency-aware vision transformers for high-fidelity super-resolution of Earth system models E. Zeraatkar et al. https://doi.org/10.1038/s41598-026-41020-5
1411. Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect‐Model Framework A. Spring & T. Ilyina https://doi.org/10.1029/2019GL085311
1412. Modeling streamflow response under changing environment using a modified SWAT model with enhanced representation of CO2 effects B. Li et al. https://doi.org/10.1016/j.ejrh.2023.101547
1413. The new plant functional diversity model JeDi-BACH (version 1.0) in the ICON Earth System Model (version 1.0) P. Hu et al. https://doi.org/10.5194/gmd-19-6357-2026
1414. How fast is the frequency of precipitation extremes doubling in global land regions? G. Chagnaud et al. https://doi.org/10.1088/2515-7620/ad9f12
1415. Modelling snowpack on ice surfaces with the ORCHIDEE land surface model: application to the Greenland ice sheet S. Charbit et al. https://doi.org/10.5194/tc-18-5067-2024
1416. Nationwide recycled steel slag pavements can stimulate sustainable urban transportation Z. Zhang et al. https://doi.org/10.1038/s43247-026-04056-z
1417. Future precipitation increase constrained by climatological pattern of cloud effect W. Zhou et al. https://doi.org/10.1038/s41467-023-42181-x
1418. Future changes in Antarctic near-surface winds: regional variability and key drivers under a high-emission scenario C. Davrinche et al. https://doi.org/10.5194/tc-19-6023-2025
1419. Wind energy resource over Europe under CMIP6 future climate projections: What changes from CMIP5 to CMIP6 D. Carvalho et al. https://doi.org/10.1016/j.rser.2021.111594
1420. Hydro-climatological changes and mine water management challenges in Canada under climate change W. Palash et al. https://doi.org/10.1088/1748-9326/adf762
1421. Imitation or identification: limitations of deep learning in extrapolating to future climate-carbon cycle change R. ElGhawi et al. https://doi.org/10.1088/3049-4753/ae2279
1422. “Beyond Weather Regimes”: Descriptors Monitoring Atmospheric Centers of Action. A case study for Aotearoa New Zealand B. Pohl et al. https://doi.org/10.1175/JCLI-D-21-0102.1
1423. Climate Change Response of Tropical Atlantic Clouds in a Kilometer‐Resolution Model C. Heim & C. Schär https://doi.org/10.1029/2023JD038947
1424. Future projections of extreme temperature events in Southwest China using nine models in CMIP6 X. Li et al. https://doi.org/10.3389/feart.2022.942781
1425. Projected dry/wet regimes in China using SPEI under four SSP‐RCPs based on statistically downscaled CMIP6 data X. Chen et al. https://doi.org/10.1002/joc.7824
1426. Engaging High School Students with Big, Messy, Current Data C. Lund et al. https://doi.org/10.1080/00368555.2026.2626053
1427. Observational Constraint on the Contribution of Surface Albedo Feedback to the Amplified Tibetan Plateau Surface Warming Y. Chen et al. https://doi.org/10.1029/2021JD036085
1428. Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook M. Jin et al. https://doi.org/10.1145/3821637
1429. Towards two decades of Atlantic Ocean mass and heat transports at 26.5° N W. Johns et al. https://doi.org/10.1098/rsta.2022.0188
1430. Probabilistic assessment of shallow landslides in a changing climate: insight from the rainfall dependence structure Z. He et al. https://doi.org/10.1007/s10346-026-02773-2
1431. Exploring uncertainty in dynamical future changes in Sahel precipitation: the extratropical influence P. Monerie et al. https://doi.org/10.1007/s00382-025-07835-0
1432. A global high-resolution and bias-corrected dataset of CMIP6 projected heat stress metrics Q. Kong & M. Huber https://doi.org/10.1038/s41597-025-04527-6
1433. Impacts of the atmospheric mean state on austral early-winter Indian Ocean teleconnections with Chile in CMIP5/CMIP6 models D. Sabatani et al. https://doi.org/10.1016/j.atmosres.2025.108509
1434. Global Warming Threshold and Mechanisms for Accelerated Greenland Ice Sheet Surface Mass Loss R. Sellevold & M. Vizcaíno https://doi.org/10.1029/2019MS002029
1435. Comparison of Current and Future PM2.5 Air Quality in China Under CMIP6 and DPEC Emission Scenarios J. Cheng et al. https://doi.org/10.1029/2021GL093197
1436. Of Atlantic Meridional Overturning Circulation in the CMIP6 Project X. Gong et al. https://doi.org/10.1016/j.dsr2.2022.105193
1437. A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions L. Zhou et al. https://doi.org/10.1016/j.aosl.2023.100330
1438. The DOE E3SM v1.2 Cryosphere Configuration: Description and Simulated Antarctic Ice‐Shelf Basal Melting D. Comeau et al. https://doi.org/10.1029/2021MS002468
1439. Upper-Tropospheric Temperature Pattern Over the Asian-Pacific Region in CMIP6 Simulations: Climatology and Interannual Variability Q. Fan & B. Zhou https://doi.org/10.3389/feart.2022.917660
1440. Amplified summer wind stilling and land warming compound energy risks in Northern Midlatitudes G. Zhang https://doi.org/10.1088/1748-9326/adb1f8
1441. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections L. Li et al. https://doi.org/10.1038/s43247-023-01016-9
1442. Climate change effects on soil salinity in rainfed maize areas: a case study from South Africa Z. Haj-Amor et al. https://doi.org/10.2166/ws.2023.138
1443. Constructing Ecological Networks and Analyzing Impact Factors in Multi-Scenario Simulation Under Climate Change H. Bai et al. https://doi.org/10.3390/land14051120
1444. CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6 Q. BAO et al. https://doi.org/10.1080/16742834.2020.1814675
1445. Decoding marine low cloud changes reveals more resilient climate feedbacks J. Ge et al. https://doi.org/10.1038/s43247-026-03564-2
1446. Eastern equatorial Pacific SST seasonal cycle in global climate models: from CMIP5 to CMIP6 Z. Song et al. https://doi.org/10.1007/s13131-020-1623-z
1447. Assessment of the Sea Surface Salinity Simulation and Projection Surrounding the Asian Waters in the CMIP6 Models S. Jin et al. https://doi.org/10.3390/atmos14040726
1448. CMIP6 model-based analog forecasting for the seasonal prediction of sea surface temperature in the offshore area of China W. Peng et al. https://doi.org/10.1186/s40562-021-00179-7
1449. Thermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6 M. Hamed et al. https://doi.org/10.1007/s11356-022-22036-6
1450. Exploring the Evolution of Permafrost on the Tibetan Plateau (1979–2100) Using the Temperature at the Top of Permafrost (TTOP) Model: Implications for Sustainable Development J. Wei & S. Zhao https://doi.org/10.3390/su18115621
1451. A review of economic calibrated mathematical programming models for agricultural water reallocation G. Soriano et al. https://doi.org/10.1016/j.envsoft.2025.106628
1452. Flood projections over the White Volta Basin under the shared socioeconomic pathways: an analytical hierarchical approach A. Kabo-Bah et al. https://doi.org/10.3389/fclim.2025.1564665
1453. Consistency study of standardized precipitation index and standardized precipitation evapotranspiration index over the elevation gradient in the Yellow River Basin M. Luo et al. https://doi.org/10.1016/j.ejrh.2026.103605
1454. Superior Daily and Sub‐Daily Precipitation Statistics for Intense and Long‐Lived Storms in Global Storm‐Resolving Models H. Ma et al. https://doi.org/10.1029/2021GL096759
1455. Changes in mean and extreme climate in southern South America under global warming of 1.5 °C, 2 °C, and 3 °C C. Gulizia et al. https://doi.org/10.1007/s00704-022-04199-x
1456. Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model T. Hassan et al. https://doi.org/10.5194/gmd-17-3507-2024
1457. Historical cold biases exaggerate future elevation-dependent warming over the Tibetan Plateau Y. Deng et al. https://doi.org/10.1016/j.atmosres.2026.109288
1458. Approaching the 1.5 °C warming threshold and escalating seasonal warm extremes in the Yangtze River Basin A. Dilawar et al. https://doi.org/10.1016/j.ejrh.2025.102744
1459. High-Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7 M. Roberts et al. https://doi.org/10.5194/gmd-18-1307-2025
1460. jsmetrics v0.2.0: a Python package for metrics and algorithms used to identify or characterise atmospheric jet streams T. Keel et al. https://doi.org/10.5194/gmd-17-1229-2024
1461. Analyzing the Diurnal Cycle by Bayesian Interpolation on a Sphere for Mapping GNSS Radio Occultation Data S. Leroy et al. https://doi.org/10.1175/JTECH-D-20-0031.1
1462. Evaluation and Projection of Climate Change in the Second Songhua River Basin Using CMIP6 Model Simulations H. Xiao et al. https://doi.org/10.3390/atmos14091429
1463. Storylines for future changes of the North Atlantic jet and associated impacts on the UK B. Harvey et al. https://doi.org/10.1002/joc.8095
1464. Assessment, driving mechanism identification and future scenario projection of desertification vulnerability in the Mongolian Plateau: an integrated study using multi-source data and machine learning M. Li et al. https://doi.org/10.1016/j.ecolind.2025.114340
1465. Deadly April heatwaves will be new normal in South Asia T. Ding et al. https://doi.org/10.1007/s00704-026-06480-9
1466. Diverse impact of the western North Pacific sea surface temperature anomalies on El Niño–Southern Oscillation among CMIP6 models: dependence on the background meridional sea surface temperature gradient Z. Wang et al. https://doi.org/10.1007/s00382-026-08268-z
1467. Climate-informed irrigation and nitrogen strategies for Boro rice sustainability: DSSAT-CERES modeling under CMIP6 projections M. Islam et al. https://doi.org/10.1016/j.agwat.2026.110642
1468. Recent globally synchronous seasonal warm events unprecedented since 850 CE J. Duan et al. https://doi.org/10.1038/s41467-026-76985-4
1469. Antarctic shelf ocean warming and sea ice melt affected by projected El Niño changes W. Cai et al. https://doi.org/10.1038/s41558-023-01610-x
1470. Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. https://doi.org/10.1029/2019GL085782
1471. The Regional Importance of Oxygen Demand and Supply for Historical Ocean Oxygen Trends P. Buchanan & A. Tagliabue https://doi.org/10.1029/2021GL094797
1472. Environmental and geographic constraints shape global pumped hydroelectric storage for long-duration energy storage R. Xu et al. https://doi.org/10.1039/D6EE01331G
1473. Assessment of current and projected runoff in the Sabarmati river basin using CMIP6 climate projections and hydrological modelling S. Choubey et al. https://doi.org/10.1007/s44288-026-00452-2
1474. Assessments of downscaled climate data with a high‐resolution weather station network reveal consistent but predictable bias D. Roberts et al. https://doi.org/10.1002/joc.6005
1475. Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study M. Kamruzzaman et al. https://doi.org/10.1007/s00704-021-03691-0
1476. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al. https://doi.org/10.5194/gmd-14-3361-2021
1477. Overemphasized role of preceding strong El Niño in generating multi-year La Niña events J. Kim et al. https://doi.org/10.1038/s41467-023-42373-5
1478. North‐West Europe Hottest Days Are Warming Twice as Fast as Mean Summer Days M. Patterson https://doi.org/10.1029/2023GL102757
1479. A stakeholder-guided marine heatwave hazard index for fisheries and aquaculture J. Kajtar et al. https://doi.org/10.1007/s10584-024-03684-8
1480. Projected warming will exceed the long-term thermal limits of rice cultivation N. Gauthier et al. https://doi.org/10.1038/s43247-025-03108-0
1481. Exploring the benefits of inoculated cowpeas under different climatic conditions in Namibia L. Rasche et al. https://doi.org/10.1038/s41598-023-38949-2
1482. A multi‐model likelihood analysis of unprecedented extreme rainfall along the east coast of Australia D. Irving et al. https://doi.org/10.1002/met.2217
1483. Large gains in leaf scale photosynthetic rates of sparsely vegetated arid and semi-arid lands J. Pu et al. https://doi.org/10.1038/s43247-025-03121-3
1484. Projected changes in tropical instability wave activity in the Pacific Ocean under greenhouse warming A. Xue et al. https://doi.org/10.1073/pnas.2530859123
1485. The change in convection over the Indo-Pacific warm pool in the mid-Holocene and its influence on South Asian precipitation X. Zhou et al. https://doi.org/10.1016/j.quascirev.2023.108399
1486. Assessing the Potential Impacts of Climate Change on Drought in Uzbekistan: Findings from RCP and SSP Scenarios N. Rakhmatova et al. https://doi.org/10.3390/atmos15070866
1487. Mor Çiçekli Ormangülünün (Rhododendron ponticum L.) günümüz ve gelecekteki iklim koşullarına göre yayılış alanlarının modellenmesi Ö. ÖRÜCÜ et al. https://doi.org/10.17474/artvinofd.834174
1488. Opposite response of strong and moderate positive Indian Ocean Dipole to global warming W. Cai et al. https://doi.org/10.1038/s41558-020-00943-1
1489. How do coupled models represent the African Easterly Jets and their associated dynamics over Central Africa during the September–November rainy season? G. Kuete et al. https://doi.org/10.1007/s00382-022-06467-y
1490. Assessing marine heat waves in the Mediterranean Sea: a comparison of fixed and moving baseline methods P. Rosselló et al. https://doi.org/10.3389/fmars.2023.1168368
1491. The Global Teleconnection Signature of the Madden‐Julian Oscillation and Its Modulation by the Quasi‐Biennial Oscillation B. Toms et al. https://doi.org/10.1029/2020JD032653
1492. Evaluation of Historical CMIP6 Model Simulations of Seasonal Mean Temperature over Pakistan during 1970–2014 R. Karim et al. https://doi.org/10.3390/atmos11091005
1493. Best- and Worst-Case Scenarios for the Douro Winemaking Region: Dynamic Crop Modelling and Ensemble Projections for Yield, Alcohol Content, and Phenology H. Fraga et al. https://doi.org/10.3390/plants14162466
1494. Assessing Hydroclimatic Extremes in the Iberian Peninsula Under Future Emission Scenarios C. Andrade et al. https://doi.org/10.3390/w18192381
1495. CMIP6 GCM Validation Based on ECS and TCR Ranking for 21st Century Temperature Projections and Risk Assessment N. Scafetta https://doi.org/10.3390/atmos14020345
1496. Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. https://doi.org/10.1029/2022EF003106
1497. A General Framework for Progressive Data Compression and Retrieval V. Magri & P. Lindstrom https://doi.org/10.1109/TVCG.2023.3327186
1498. Assessment of future solar energy potential changes under the shared socio-economic pathways scenario 2–4.5 with WRF-chem: The roles of meteorology and emission Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.120232
1499. Assessing the impact of ice thickness uncertainty on future glacier evolution in the Himalayas using a higher-order glacier flow model X. Qi et al. https://doi.org/10.1016/j.jhydrol.2026.135450
1500. Assessment of Pacific-North American Teleconnection Based on CMIP6 Models 晏. 王 https://doi.org/10.12677/ccrl.2026.154075
1501. An assessment of temperature simulations by CMIP6 climate models over the Tibetan Plateau and differences with CMIP5 climate models Q. Hu et al. https://doi.org/10.1007/s00704-022-03944-6
1502. Greater Impacts of Summer Central Pacific ENSO on the Cross-Equatorial Flows over the Maritime Continent Compared with Eastern Pacific ENSO X. Zhao et al. https://doi.org/10.1007/s00376-025-4527-1
1503. Integrating artificial intelligence and climate data for predicting rice brown spot disease dynamics S. Selvaraj et al. https://doi.org/10.1016/j.atech.2026.102248
1504. Assessing carbon cycle projections from complex and simple models under SSP scenarios I. Melnikova et al. https://doi.org/10.1007/s10584-023-03639-5
1505. Future projections of precipitation, surface temperatures and drought events over the monsoon transitional zone in China from bias‐corrected CMIP6 models J. Piao et al. https://doi.org/10.1002/joc.7297
1506. Regional climate change: consensus, discrepancies, and ways forward T. Shaw et al. https://doi.org/10.3389/fclim.2024.1391634
1507. Super El Niño events drive climate regime shifts with enhanced risks under global warming A. Xue et al. https://doi.org/10.1038/s41467-025-66143-7
1508. Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections L. Kwiatkowski et al. https://doi.org/10.5194/bg-17-3439-2020
1509. Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10) N. Mengis et al. https://doi.org/10.5194/gmd-13-4183-2020
1510. Ensemble projections of climate and streamflow in a typical basin of semi-arid steppes in Mongolian Plateau of 2021–2100 H. Pan et al. https://doi.org/10.1016/j.accre.2024.02.004
1511. Early emergence and determinants of human-induced Walker circulation weakening M. Wu et al. https://doi.org/10.1038/s41467-024-53509-6
1512. Shifted relationship between the Pacific decadal oscillation and western North Pacific tropical cyclogenesis since the 1990s C. Zhou et al. https://doi.org/10.1088/1748-9326/ad1640
1513. Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate L. McBride et al. https://doi.org/10.5194/esd-12-545-2021
1514. A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections X. Wu et al. https://doi.org/10.1088/1748-9326/adae23
1515. Human influence on recent trends in extratropical low-level wind speed H. Chou et al. https://doi.org/10.1038/s41612-025-01292-6
1516. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2 C. Zhang et al. https://doi.org/10.1007/s11442-020-1778-8
1517. Modeling revealed the effect of root dynamics on the water adaptability of phreatophytes T. Wang et al. https://doi.org/10.1016/j.agrformet.2022.108959
1518. The future of photovoltaic energy potential in Africa under higher emission scenarios: Insights from CMIP6 multi-model ensemble analysis P. Adigun et al. https://doi.org/10.1016/j.solener.2024.113078
1519. Potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities J. Cinner et al. https://doi.org/10.1038/s41467-022-30991-4
1520. Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina T. Tran et al. https://doi.org/10.1016/j.jenvman.2024.121375
1521. NUIST ESM v3 Data Submission to CMIP6 J. Cao et al. https://doi.org/10.1007/s00376-020-0173-9
1522. Dual-tracer constraints on the inverse Gaussian transit time distribution improve the estimation of water mass ages and their temporal trends in the tropical thermocline H. Guo et al. https://doi.org/10.5194/os-21-1167-2025
1523. Increased Extreme Precipitation in Western North America from Cut-Off Lows Under a Warming Climate H. Pinheiro et al. https://doi.org/10.3390/meteorology4020011
1524. Prediction of suitable distribution areas for Alismatis Rhizoma based on the MaxEnt model and study on quality-environment correlation Z. Wang et al. https://doi.org/10.3389/fpls.2026.1723386
1525. Projected increases in tropical cyclone-induced U.S. electric power outage risk J. Rice et al. https://doi.org/10.1088/1748-9326/adad85
1526. Historical evaluation and projection of precipitation phase changes in the cold season over the Tibetan Plateau based on CMIP6 multimodels G. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106494
1527. Enhancing Skill of Initialized Decadal Predictions Using a Dynamic Model of Drift B. Nadiga et al. https://doi.org/10.1029/2019GL084223
1528. The Impacts of Changes in Near-Term Climate Forcers on East Asia’s Climate H. Sung et al. https://doi.org/10.3390/cli13090191
1529. Double intensification centers of summer marine heatwaves in the South China Sea associated with global warming T. Dong et al. https://doi.org/10.1007/s00382-024-07247-6
1530. Impact of air–sea coupling on the probability of occurrence of heat waves in Japan A. Hasegawa et al. https://doi.org/10.1186/s40645-020-00390-8
1531. Natural variability vs forced signal in the 2015–2019 Central American drought S. Pascale et al. https://doi.org/10.1007/s10584-021-03228-4
1532. CAS-ESM2.0 Model Datasets for the CMIP6 Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) J. Jin et al. https://doi.org/10.1007/s00376-020-0188-2
1533. Drivers of exceptional coastal warming in the northeastern United States A. Karmalkar & R. Horton https://doi.org/10.1038/s41558-021-01159-7
1534. Global Change in Agricultural Flash Drought over the 21st Century E. Black https://doi.org/10.1007/s00376-023-2366-5
1535. Agroclimatic and Mechanization Zoning of Sugarcane Associated with Ethanol Production Potential in Minas Gerais Under Climate Change Scenarios F. de Carvalho Júnior et al. https://doi.org/10.1007/s41651-025-00225-4
1536. A Science Gateway for Virtual Analysis-Ready Climate Data of the Earth System Grid Federation E. Cimadevilla & A. Palacio Hoz https://doi.org/10.1007/s42979-026-04950-5
1537. Improving statistical projections of ocean dynamic sea-level change using pattern recognition techniques V. Malagón-Santos et al. https://doi.org/10.5194/os-19-499-2023
1538. Predicting planting suitability of globally important grain crops using a hybrid model Y. Ding et al. https://doi.org/10.1016/j.eja.2025.127754
1539. An inter-hemispheric seasonal comparison of polar amplification using radiative forcing of a quadrupling CO2 experiment F. Casagrande et al. https://doi.org/10.5194/angeo-38-1123-2020
1540. Detection, Attribution, and Future Response of Global Soil Moisture in Summer L. Qiao et al. https://doi.org/10.3389/feart.2021.745185
1541. A Non-Uniform Grid Graph Convolutional Network for Sea Surface Temperature Prediction G. Lou et al. https://doi.org/10.3390/rs16173216
1542. Link Between Opaque Cloud Properties and Atmospheric Dynamics in Observations and Simulations of Current Climate in the Tropics, and Impact on Future Predictions M. Perpina et al. https://doi.org/10.1029/2020JD033899
1543. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs M. Zhao et al. https://doi.org/10.1002/2017MS001208
1544. Evaluation of the Performance of CMIP6 Climate Models in Simulating Rainfall over the Philippines S. Ignacio-Reardon & J. Luo https://doi.org/10.3390/atmos14091459
1545. Response of ice sheets, sea-ice and sea level in climate stabilisation and reversibility simulations using a state-of-the-art Earth System Model R. Smith et al. https://doi.org/10.5194/esd-17-475-2026
1546. On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6 K. Wyser et al. https://doi.org/10.5194/gmd-13-3465-2020
1547. Future PV production potential in Northern Europe under changing snow conditions: A multi-model assessment K. Ruosteenoja et al. https://doi.org/10.1016/j.solener.2025.113896
1548. Rainy season and crop calendars comparison between past (1950–2018) and future (2030–2100) in Madagascar L. Randriamarolaza & E. Aguilar https://doi.org/10.1002/met.2146
1549. Increasing model resolution improves but overestimates global mid-depth circulation simulation H. Guo et al. https://doi.org/10.1038/s41598-024-80152-4
1550. Broad Consistency Between Observed and Simulated Trends in Sea Surface Temperature Patterns D. Olonscheck et al. https://doi.org/10.1029/2019GL086773
1551. Impact of Climate Change on Streamflow in the Middle–Upper Reaches of the Weihe River Basin, China Y. Zhang et al. https://doi.org/10.1061/JHYEFF.HEENG-5825
1552. Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model H. Mizuochi et al. https://doi.org/10.5194/hess-25-2199-2021
1553. A 10-km CMIP6 downscaled dataset of temperature and precipitation for historical and future Vietnam climate Q. Tran-Anh et al. https://doi.org/10.1038/s41597-023-02159-2
1554. The declining tropical carbon sink A. Rammig & D. Lapola https://doi.org/10.1038/s41558-021-01135-1
1555. Amazon windthrow disturbances are likely to increase with storm frequency under global warming Y. Feng et al. https://doi.org/10.1038/s41467-022-35570-1
1556. Mitigating the impact of increased drought-flood abrupt alternation events under climate change: the role of reservoirs in the Lancang-Mekong River Basin K. Zhang et al. https://doi.org/10.5194/hess-30-671-2026
1557. Assessment of the summer Asian–Pacific Oscillation pattern in CMIP6 models: historical simulations and future projections W. Hua et al. https://doi.org/10.1007/s00704-023-04687-8
1558. Synergistic impacts of westerlies and monsoon on interdecadal variations of late spring precipitation over the southeastern extension of the Tibetan Plateau J. Wang et al. https://doi.org/10.1002/joc.7648
1559. Optimizing sustainable and multifunctional management of Alpine Forests under climate change L. Bont et al. https://doi.org/10.1038/s41598-025-12001-x
1560. An Investigation of the SOCOLv4 Model’s Suitability for Predicting the Future Evolution of the Total Column Ozone G. Nerobelov et al. https://doi.org/10.3390/atmos15121491
1561. Increased Turbulence in the Eurasian Upper‐Level Jet Stream in Winter: Past and Future Y. Lv et al. https://doi.org/10.1029/2020EA001556
1562. Ventilation of the deep Gulf of Mexico and potential insights to the Atlantic Meridional Overturning Circulation R. Amon et al. https://doi.org/10.1126/sciadv.ade1685
1563. Climate-driven spatiotemporal dynamics and exposure risks of global soil moisture drought–flood abrupt alternation events X. Chen et al. https://doi.org/10.1016/j.indic.2026.101235
1564. Increasing Inhomogeneity of the Global Oceans Q. Ren et al. https://doi.org/10.1029/2021GL097598
1565. Climate Change Impact on the Habitat Suitability of Pseudotsuga menziesii Mirb. Franco in Mexico: An Approach for Its Conservation A. Martínez-Sifuentes et al. https://doi.org/10.3390/su14148888
1566. Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
1567. Land–sea temperature contrasts at the Last Interglacial and their impact on the hydrological cycle N. Yeung et al. https://doi.org/10.5194/cp-17-869-2021
1568. Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate Z. Xu et al. https://doi.org/10.1007/s00376-023-3101-y
1569. Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models: Experiments with the Horizontal Resolutions P. Zi et al. https://doi.org/10.1007/s13351-024-3200-4
1570. Assessing the Impact of Temperature and Precipitation Trends of Climate Change on Agriculture Based on Multiple Global Circulation Model Projections in Malta B. Mifsud Scicluna & C. Galdies https://doi.org/10.3390/bdcc9040105
1571. Quantifying CanESM5 and EAMv1 sensitivities to Mt. Pinatubo volcanic forcing for the CMIP6 historical experiment L. Rieger et al. https://doi.org/10.5194/gmd-13-4831-2020
1572. Projecting environmental and krill fishery impacts on the Antarctic Peninsula food web in 2100 G. Testa et al. https://doi.org/10.1016/j.pocean.2022.102862
1573. Updated insights on climate change-driven temperature variability across historical and future periods M. Molina et al. https://doi.org/10.1007/s10584-025-03937-0
1574. Can a Global Climate Model Reproduce a Tornado Outbreak Atmospheric Pattern? Methodology and a Case Study P. Ćwik et al. https://doi.org/10.3390/atmos16080923
1575. Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes B. Guenet et al. https://doi.org/10.5194/bg-21-657-2024
1576. Global risk assessment of compound hot-dry events in the context of future climate change and socioeconomic factors H. Tabari & P. Willems https://doi.org/10.1038/s41612-023-00401-7
1577. Combined effects of Arctic tropospheric warming and La Niña events on enhanced Eurasian cold anomalies X. Zhang et al. https://doi.org/10.1016/j.atmosres.2023.107045
1578. Modeling current geographic distribution and future range shifts of Sanghuangporus under multiple climate change scenarios in China J. Chen et al. https://doi.org/10.3389/fmicb.2022.1064451
1579. Upper‐level wind mode over the North Atlantic‐Arctic Ocean leading to coherent variations of Eurasian and North American winter temperatures and weakness in the CMIP6 models C. Sun et al. https://doi.org/10.1002/joc.8335
1580. Self-Organized Criticality in Atmospheric Rivers S. Wang et al. https://doi.org/10.1103/7l2l-g5vn
1581. Historical and future maximum sea surface temperatures B. Cael et al. https://doi.org/10.1126/sciadv.adj5569
1582. Hydrological responses projection to the potential impact of climate change under CMIP6 models scenarios in Omo River Basin, Ethiopia T. Feyissa et al. https://doi.org/10.1016/j.rineng.2024.102708
1583. A CMIP6 assessment of the potential climate change impacts on solar photovoltaic energy and its atmospheric drivers in West Africa D. Danso et al. https://doi.org/10.1088/1748-9326/ac5a67
1584. Temperature neutrality and Irish methane policy J. Wheatley https://doi.org/10.1080/14693062.2023.2191921
1585. Response of Northern North Atlantic and Atlantic Meridional Overturning Circulation to Reduced and Enhanced Wind Stress Forcing K. Lohmann et al. https://doi.org/10.1029/2021JC017902
1586. Characteristics of the Turkana low-level jet stream and the associated rainfall in CMIP6 models L. Oscar et al. https://doi.org/10.1007/s00382-022-06499-4
1587. Emergence of an oceanic CO2 uptake hole under global warming H. Lee et al. https://doi.org/10.1038/s41467-025-57724-7
1588. Connectivity and climate change drive the global distribution of highly invasive termites E. Duquesne & D. Fournier https://doi.org/10.3897/neobiota.92.115411
1589. Future Changes in Yamase: Focusing on the Meridional Pressure Gradient Over Northern Japan D. Koyama et al. https://doi.org/10.1007/s44393-026-00028-w
1590. Climate models capture key features of extreme precipitation probabilities across regions C. Martinez-Villalobos & J. Neelin https://doi.org/10.1088/1748-9326/abd351
1591. Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East Y. Khosravi et al. https://doi.org/10.1038/s41612-025-01033-9
1592. Spatial–temporal dynamics of evapotranspiration and its relationship with drivers of wetlands degradation H. Aeman et al. https://doi.org/10.1007/s00704-025-05568-y
1593. The GLACE-Hydrology Experiment: Effects of Land–Atmosphere Coupling on Soil Moisture Variability and Predictability S. Kumar et al. https://doi.org/10.1175/JCLI-D-19-0598.1
1594. Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050 C. Haslebacher et al. https://doi.org/10.1051/0004-6361/202142493
1595. Climate Change Impacts on the Density Altitude of Chinese Airports in Summer X. Kang et al. https://doi.org/10.3390/atmos14101577
1596. Prediction and Transition of Vegetation Vulnerability in the Mara River Basin under Different Shared Socio-Economic Pathways (SSPs), East Africa W. Zhu et al. https://doi.org/10.3390/f15040610
1597. Confronting Earth System Model trends with observations I. Simpson et al. https://doi.org/10.1126/sciadv.adt8035
1598. Projected changes in rain-on-snow events and their impacts on summer low streamflow in the Great lakes basin Y. Aryal et al. https://doi.org/10.1016/j.envsoft.2025.106612
1599. Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index – Part 2: Seasonal trough, peak, and amplitude D. Peano et al. https://doi.org/10.5194/bg-22-7117-2025
1600. Future Southern Ocean warming linked to projected ENSO variability G. Wang et al. https://doi.org/10.1038/s41558-022-01398-2
1601. Clarifying the Role of ENSO on Easter Island Precipitation Changes: Potential Environmental Implications for the Last Millennium T. Delcroix et al. https://doi.org/10.1029/2022PA004514
1602. Relative roles of different tropical oceans on the weakening of the stratospheric equatorial quasi-biennial oscillation Y. Wang et al. https://doi.org/10.1038/s41612-026-01359-y
1603. Midlatitude Error Growth in Atmospheric GCMs: The Role of Eddy Growth Rate A. Sheshadri et al. https://doi.org/10.1029/2021GL096126
1604. Exploring divergent long-term stratospheric aerosol injection scenarios with the G2-SAI and ARISE-hybrid experiments W. Lee et al. https://doi.org/10.5194/esd-17-1117-2026
1605. Understanding the Changes in Moisture Budget of Extreme Wet Indian Summer Monsoon Precipitation in CMIP6 P. Byju et al. https://doi.org/10.1002/joc.8636
1606. Midwinter breakdown of ENSO climate impacts in East Asia X. Geng et al. https://doi.org/10.1038/s41612-023-00474-4
1607. Projected Range Expansion of the Red Palm Weevil (Rhynchophorus ferrugineus) Across the Arabian Peninsula Under Future Climate Scenarios H. Al Dhafer et al. https://doi.org/10.3390/agronomy16131286
1608. Current and future temperature suitability for autochthonous transmission of malaria in Canada K. Siebels et al. https://doi.org/10.1186/s12942-025-00407-9
1609. Natural Sinks and Sources of CO2 and CH4 in the Atmosphere of Russian Regions and Their Contribution to Climate Change in the 21st Century Evaluated with the CMIP6 Model Ensemble S. Denisov et al. https://doi.org/10.1134/S0001433824700142
1610. Assessment of climate change effect on environmental flows for macroinvertebrates using an integrated hydrological-hydraulic-habitat modelling S. Chattopadhyay et al. https://doi.org/10.1016/j.ejrh.2024.101982
1611. Natural variability contributes to model–satellite differences in tropical tropospheric warming S. Po-Chedley et al. https://doi.org/10.1073/pnas.2020962118
1612. Historical rainfall data in northern Italy predict larger meteorological drought hazard than climate projections R. Guo & A. Montanari https://doi.org/10.5194/hess-27-2847-2023
1613. Impact of population aging on future temperature-related mortality at different global warming levels K. Chen et al. https://doi.org/10.1038/s41467-024-45901-z
1614. Early-winter North Atlantic low-level jet latitude biases in climate models: implications for simulated regional atmosphere-ocean linkages T. Bracegirdle et al. https://doi.org/10.1088/1748-9326/ac417f
1615. Nonlinear influence of coexisting CO2 and anthropogenic aerosols on East Asian summer precipitation through a mid-high-latitude pathway J. Deng https://doi.org/10.1088/1748-9326/ae20a8
1616. The data processing and analysis methods for stratospheric ozone and planetary wave study Y. Shi et al. https://doi.org/10.33275/1727-7485.2.2022.698
1617. Solar forcing for CMIP6 (v3.2) K. Matthes et al. https://doi.org/10.5194/gmd-10-2247-2017
1618. Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. https://doi.org/10.5194/gmd-15-4163-2022
1619. Human influence on historical heaviest precipitation events in the Yangtze River Valley Z. Wang et al. https://doi.org/10.1088/1748-9326/acb563
1620. Adaptation progress and challenges of winter wheat breeding in China under climate warming W. Han et al. https://doi.org/10.1016/j.fcr.2025.109889
1621. Africa’s booming rice cultivation is fueling regional warming B. Swain et al. https://doi.org/10.1038/s41598-025-27436-5
1622. Weather and climate predicted accurately — without using a supercomputer O. Watt-Meyer https://doi.org/10.1038/d41586-024-02558-4
1623. Describing future UK winter precipitation in terms of changes in local circulation patterns D. Sexton et al. https://doi.org/10.1007/s00382-024-07165-7
1624. Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations Ø. Seland et al. https://doi.org/10.5194/gmd-13-6165-2020
1625. Data-driven global ocean modeling for seasonal to decadal prediction Z. Guo et al. https://doi.org/10.1126/sciadv.adu2488
1626. The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking V. Sebestyén et al. https://doi.org/10.3389/fenvs.2021.619092
1627. Drivers of Recent North Pacific Decadal Variability: The Role of Aerosol Forcing A. Dittus et al. https://doi.org/10.1029/2021EF002249
1628. Decoupling of δ18O from surface temperature in Antarctica in an ensemble of historical simulations S. Goursaud Oger et al. https://doi.org/10.5194/cp-20-2539-2024
1629. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. https://doi.org/10.1029/2022MS003397
1630. Future increases in Eurasian mid-latitude winter temperature variability shaped by a weakened Atlantic Meridional Overturning Circulation S. Lee et al. https://doi.org/10.1038/s43247-025-02249-6
1631. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. https://doi.org/10.1029/2019MS001816
1632. Enhanced forest carbon gains from stronger protection in China’s protected areas Y. Fu et al. https://doi.org/10.1038/s41467-026-69505-x
1633. The role of vector population variation and climate in Zika virus transmission patterns in Africa: a modelling study J. Caldwell et al. https://doi.org/10.1016/S2542-5196(24)00276-6
1634. The added value of Med-CORDEX coupled high-resolution regional climate models in representing sea surface temperature and marine heatwaves in the Mediterranean Sea F. De Rovere et al. https://doi.org/10.5194/os-22-2725-2026
1635. Mass balance of the ice sheets and glaciers – Progress since AR5 and challenges E. Hanna et al. https://doi.org/10.1016/j.earscirev.2019.102976
1636. Climate and air quality impacts due to mitigation of non-methane near-term climate forcers R. Allen et al. https://doi.org/10.5194/acp-20-9641-2020
1637. Future Heat-Related Mortality in Türkiye: Projections Under CMIP6 Scenarios Towards National Climate Action Targets M. Yılmaz et al. https://doi.org/10.1007/s41748-025-00707-x
1638. Assessment of meteorological drought based on CMIP6 multi-model ensemble projections in Iraq A. Al-Hussein et al. https://doi.org/10.1007/s10584-026-04123-6
1639. Risk prediction of Lecanosticta acicola spore abundance in Atlantic climate regions D. García-García et al. https://doi.org/10.1016/j.agrformet.2024.110360
1640. Coextinctions dominate future vertebrate losses from climate and land use change G. Strona & C. Bradshaw https://doi.org/10.1126/sciadv.abn4345
1641. Anthropogenic Speeding Up of South China Flash Droughts as Exemplified by the 2019 Summer‐Autumn Transition Season Y. Wang & X. Yuan https://doi.org/10.1029/2020GL091901
1642. High-Resolution Detection of Stratospheric Aerosols in CALIPSO Atmospheric Lidar Data Facilitated by the CALIOP-Density-Dimension Algorithm U. Herzfeld et al. https://doi.org/10.1109/TGRS.2025.3569546
1643. Study on the spatio-temporal dynamics of forest carbon sources and sinks in Xinjiang based on process models and their climate response mechanisms J. Zhou et al. https://doi.org/10.3389/ffgc.2025.1713711
1644. Wildflower phenological escape differs by continent and spring temperature B. Lee et al. https://doi.org/10.1038/s41467-022-34936-9
1645. South Pacific Oscillation contributes to multi-year ENSOs X. Li et al. https://doi.org/10.1038/s41612-025-01130-9
1646. Climate model-driven seasonal forecasting approach with deep learning A. Unal et al. https://doi.org/10.1017/eds.2023.24
1647. Fifty Year Trends in Global Ocean Heat Content Traced to Surface Heat Fluxes in the Sub‐Polar Ocean T. Sohail et al. https://doi.org/10.1029/2020GL091439
1648. The Leeds Africa Climate Hackathon – experiences of running a hackathon and highlights of results J. Crook et al. https://doi.org/10.1002/wea.4246
1649. Functionality of Ice Line Latitudinal EBM Tenacity (FILLET). Protocol Version 1.0. A CUISINES Intercomparison Project R. Deitrick et al. https://doi.org/10.3847/PSJ/acba05
1650. An Approach for Selecting Observationally-Constrained Global Climate Model Ensembles for Regional Climate Impacts and Adaptation Studies in Canada D. Jeong & A. Cannon https://doi.org/10.1080/07055900.2023.2239194
1651. Future Changes in the Great Plains Low‐Level Jet Governed by Seasonally Dependent Pattern Changes in the North Atlantic Subtropical High W. Zhou et al. https://doi.org/10.1029/2020GL090356
1652. The El Niño–Southern Oscillation Pattern Effect P. Ceppi & S. Fueglistaler https://doi.org/10.1029/2021GL095261
1653. Shifting hail hazard under global warming and effects on crop hail risk T. Raupach et al. https://doi.org/10.1038/s41558-026-02660-7
1654. Probabilistic Sea Level Projections at the Coast by 2100 S. Jevrejeva et al. https://doi.org/10.1007/s10712-019-09550-y
1655. Quantifying the sources of increasing stratospheric water vapour concentrations P. Sheese et al. https://doi.org/10.5194/acp-25-5199-2025
1656. Twenty-first century ocean forcing of the Greenland ice sheet for modelling of sea level contribution D. Slater et al. https://doi.org/10.5194/tc-14-985-2020
1657. Radiation budget in RegCM4: simulation results from two radiative schemes over the South West Indian Ocean P. Li et al. https://doi.org/10.3354/cr01669
1658. Identifying and correcting biases in localized downscaling estimates of daily precipitation return values M. Risser et al. https://doi.org/10.1007/s10584-021-03265-z
1659. Global supply chains amplify economic costs of future extreme heat risk Y. Sun et al. https://doi.org/10.1038/s41586-024-07147-z
1660. Biodiversity science and policy need more model intercomparisons D. Zurell et al. https://doi.org/10.1038/s44358-026-00134-4
1661. Characterizing patterns of seasonal drought stress for use in common bean breeding in East Africa under present and future climates P. Jha et al. https://doi.org/10.1016/j.agrformet.2023.109735
1662. Positive feedback mechanism between biogenic volatile organic compounds and the methane lifetime in future climates M. Boy et al. https://doi.org/10.1038/s41612-022-00292-0
1663. Decadal-to-Multidecadal Variability of Seasonal Land Precipitation in Northern Hemisphere in Observation and CMIP6 Historical Simulations H. Chen & Z. Xu https://doi.org/10.3390/atmos11020195
1664. Optimizing nitrogen-water use efficiency for nitrate reduction: spatiotemporal strategies and potential of climate-smart kiwifruit agriculture across SSP scenarios S. Wang et al. https://doi.org/10.1016/j.watres.2025.125073
1665. Performance of the IPCC AR6 models in simulating the relation of the western North Pacific subtropical high to the spring northern tropical Atlantic SST S. Chen et al. https://doi.org/10.1002/joc.6953
1666. Machine learning for weather and climate are worlds apart D. Watson-Parris https://doi.org/10.1098/rsta.2020.0098
1667. Modeling impacts of climate change on the distribution of invasive Opuntia ficus-indica (L.) Mill. in Ethiopia: Implications on biodiversity conservation A. Hussein & S. Estifanos https://doi.org/10.1016/j.heliyon.2023.e14927
1668. Subpolar North Atlantic cooling reinforced by colder, drier atmosphere with a weakening Atlantic meridional overturning circulation Y. Fan et al. https://doi.org/10.1126/sciadv.ads1624
1669. Projection of future carbon benefits by photovoltaic power potential in China using CMIP6 statistical downscaling data J. Niu et al. https://doi.org/10.1088/1748-9326/acec03
1670. Rising warm positive Indian Ocean dipole under global warming: Early western Indian Ocean warming as a key predictor B. Tong et al. https://doi.org/10.1016/j.oneear.2025.101277
1671. Protocol to discover terrain-precipitation relationships with interpretable artificial intelligence H. Xu et al. https://doi.org/10.1016/j.xpro.2025.104062
1672. Optimal CMIP6 Model Identification Using Multi-criteria Statistical Analysis for Drought Projection in Indian Meteorological Subdivisions S. Panigrahi & V. Vidyarthi https://doi.org/10.1007/s00024-026-03996-z
1673. Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study: AqQala, Iran) A. Majidi et al. https://doi.org/10.2166/wcc.2024.094
1674. Snow Cover in the Three Stable Snow Cover Areas of China and Spatio-Temporal Patterns of the Future Y. Zou et al. https://doi.org/10.3390/rs14133098
1675. Simulations With the Marine Biogeochemistry Library (MARBL) M. Long et al. https://doi.org/10.1029/2021MS002647
1676. Description and evaluation of a detailed gas-phase chemistry scheme in the TM5-MP global chemistry transport model (r112) S. Myriokefalitakis et al. https://doi.org/10.5194/gmd-13-5507-2020
1677. Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations H. Wang et al. https://doi.org/10.5194/acp-22-13753-2022
1678. Climate-driven habitat shifts reveal contrasting climate association of four Stipa species in Central Asia . Aogan et al. https://doi.org/10.3389/fpls.2026.1815614
1679. Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China F. Lü et al. https://doi.org/10.3390/rs15051442
1680. Factors determining tropical upper-level cloud radiative effect in the radiative-convective equilibrium framework H. Kang et al. https://doi.org/10.1038/s41598-024-62587-x
1681. Toward reduction of the uncertainties in climate sensitivity due to cloud processes using a global non-hydrostatic atmospheric model M. Satoh et al. https://doi.org/10.1186/s40645-018-0226-1
1682. Two-year consecutive concurrences of positive Indian Ocean Dipole and Central Pacific El Niño preconditioned the 2019/2020 Australian “black summer” bushfires G. Wang & W. Cai https://doi.org/10.1186/s40562-020-00168-2
1683. Heat-to-water-dominated transition in crop growth of arid regions under climate change: Quantified by crop models and machine learning Z. Sun et al. https://doi.org/10.1016/j.eja.2026.128262
1684. Why do the Global Warming Responses of Land‐Surface Models and Climatic Dryness Metrics Disagree? J. Scheff et al. https://doi.org/10.1029/2022EF002814
1685. Projecting Wintertime Newly Formed Arctic Sea Ice through Weighting CMIP6 Model Performance and Independence J. Zhao et al. https://doi.org/10.1007/s00376-023-2393-2
1686. Impacts of Arctic Sea Ice on Cold Season Atmospheric Variability and Trends Estimated from Observations and a Multi-model Large Ensemble Y. Liang et al. https://doi.org/10.1175/JCLI-D-20-0578.1
1687. Mass loss of the Antarctic ice sheet until the year 3000 under a sustained late-21st-century climate C. Chambers et al. https://doi.org/10.1017/jog.2021.124
1688. Data-Driven Weather Forecasting and Climate Modeling from the Perspective of Development Y. Wu & W. Xue https://doi.org/10.3390/atmos15060689
1689. Modeling of Precipitation over Africa: Progress, Challenges, and Prospects A. Akinsanola et al. https://doi.org/10.1007/s00376-024-4187-6
1690. The time of emergence of Arctic warming, wetting and sea ice melting N. Tsakali et al. https://doi.org/10.1038/s41598-025-96607-1
1691. Fewer Troughs, Not More Ridges, Have Led to a Drying Trend in the Western United States W. Zhang et al. https://doi.org/10.1029/2021GL097089
1692. The opposite response of the South Asian high to increasing CO2 at different heights X. Qu et al. https://doi.org/10.1002/asl.1093
1693. Climate change risks on railway infrastructure: A systematic review and analysis E. Haghighi et al. https://doi.org/10.1016/j.scs.2025.106504
1694. Unique ocean circulation pathways reshape the Indian Ocean oxygen minimum zone with warming S. Ditkovsky et al. https://doi.org/10.5194/bg-20-4711-2023
1695. Ex-post assessment of climate and hydrological projections: reliability of CMPI6 outputs in Northern Italy F. Fuso et al. https://doi.org/10.1007/s00704-023-04698-5
1696. Inconsistent Coral Bleaching Risk Indicators Between Temperature Data Sources V. Neo et al. https://doi.org/10.1029/2022EA002688
1697. Observed and projected declines in glacier albedo across the Third Pole in the 21st century S. Ren et al. https://doi.org/10.1016/j.oneear.2024.08.010
1698. Global dry-wet patterns under various driving factors and their applications in projecting the future J. Duan et al. https://doi.org/10.1016/j.quaint.2025.109708
1699. Assessment of Snow Depth over Arctic Sea Ice in CMIP6 Models Using Satellite Data S. Chen et al. https://doi.org/10.1007/s00376-020-0213-5
1700. Contribution of the coupled atmosphere–ocean–sea ice–vegetation model COSMOS to the PlioMIP2 C. Stepanek et al. https://doi.org/10.5194/cp-16-2275-2020
1701. Southeast Indian Subantarctic Mode Water in the CMIP6 Coupled Models Z. Qiu et al. https://doi.org/10.1029/2020JC016872
1702. Emergence of positive IOD-like warming pattern driven by greenhouse gases and anthropogenic aerosols during the recent four decades S. Xin et al. https://doi.org/10.1007/s00382-025-07710-y
1703. A decline in atmospheric CO2 levels under negative emissions may enhance carbon retention in the terrestrial biosphere S. Park & J. Kug https://doi.org/10.1038/s43247-022-00621-4
1704. Superiority of a Convolutional Neural Network Model over Dynamical Models in Predicting Central Pacific ENSO T. Wang & P. Huang https://doi.org/10.1007/s00376-023-3001-1
1705. Role of Penetrative Convection under the Ice in the Formation of the State of the World Ocean N. Iakovlev et al. https://doi.org/10.1134/S0001433818060142
1706. Projected impacts of climate and land use changes on streamflow extremes in the upper awash Basin, Ethiopia S. Gebresellase et al. https://doi.org/10.1016/j.wace.2025.100806
1707. Phylogeography and Climate-Driven Distribution of Culex tarsalis (Diptera: Culicidae): Implications for the Global Spread of West Nile Virus J. Trujillo-González et al. https://doi.org/10.1007/s11686-026-01307-z
1708. Bucking the trend - recovery from near continent-wide extinction by a marsupial micro-predator during drought D. Cullen et al. https://doi.org/10.1016/j.biocon.2025.111411
1709. Impact of deforestation on precipitation extremes in China based on land use model intercomparison project models T. Gao et al. https://doi.org/10.1016/j.aosl.2024.100584
1710. Evolving drivers of 20th-century arctic climate: a detection and attribution analysis with CMIP6 models D. Cai et al. https://doi.org/10.1007/s00382-026-08249-2
1711. Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning J. Krasting et al. https://doi.org/10.1038/s43247-022-00419-4
1712. Future Projections of Low‐Level Atmospheric Circulation Patterns Over South Tropical South America: Impacts on Precipitation and Amazon Dry Season Length J. Agudelo et al. https://doi.org/10.1029/2023JD038658
1713. Improved representation of the Kuroshio extension through high-resolution dynamical downscaling: implications for future climate projections K. Lim et al. https://doi.org/10.1088/2752-5295/ae9f89
1714. Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6? M. Williamson et al. https://doi.org/10.5194/esd-15-829-2024
1715. Land-use harmonization datasets for annual global carbon budgets L. Chini et al. https://doi.org/10.5194/essd-13-4175-2021
1716. Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds J. Shaw et al. https://doi.org/10.1029/2021GL096191
1717. Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models S. Nowicki et al. https://doi.org/10.5194/tc-14-2331-2020
1718. Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. https://doi.org/10.3390/agriculture12111791
1719. Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective B. Xiong et al. https://doi.org/10.1007/s00477-024-02680-9
1720. Predicting origins of coherent air mass trajectories using a neural network—the case of dry intrusions V. Silverman et al. https://doi.org/10.1002/met.1986
1721. Preliminary assessment of historical and future scenarios of Italian Primitivo wine grapes in Apulian climate under different shared socioeconomic pathways V. Alba et al. https://doi.org/10.1007/s00704-024-04839-4
1722. How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa? H. Babaousmail et al. https://doi.org/10.3390/hydrology11070106
1723. A novel expert-driven methodology to develop thermal response curves and project habitat thermal suitability for cetaceans under a changing climate A. Sousa et al. https://doi.org/10.1016/j.scitotenv.2022.160376
1724. Exploring the Factors Controlling the Long‐Term Trend (1988–2019) of Surface Organic Aerosols in the Continental United States by Simulations Y. Liu et al. https://doi.org/10.1029/2022JD037935
1725. Evaluating CMIP6 models for near-surface air temperature projections over Antarctic ice shelves M. Fields et al. https://doi.org/10.1017/jog.2025.10121
1726. The changing nature of future Arctic marine heatwaves and its potential impacts on the ecosystem R. Gou et al. https://doi.org/10.1038/s41558-024-02224-7
1727. Significant additional Antarctic warming in atmospheric bias-corrected ARPEGE projections with respect to control run J. Beaumet et al. https://doi.org/10.5194/tc-15-3615-2021
1728. Effects of climate change on PM2.5 formation chemistry, and the associated human health impacts and economic costs in Southeast Asia T. Fang et al. https://doi.org/10.1016/j.envint.2025.109835
1729. Summer Precipitation Long‐Term Changes at Different Intensities in the Beijing–Tianjin–Hebei Region From 1961 to 2014 and Simulation Performance Evaluation of CMIP6 Models N. Gao et al. https://doi.org/10.1002/joc.70222
1730. Deeply divergent human exposure to food crises across socioeconomic pathways G. Strona https://doi.org/10.1038/s41598-025-29068-1
1731. A PCA-based similarity-window framework for vegetation drought-threshold detection and driver-shift assessment in Northwest China F. Xie et al. https://doi.org/10.1016/j.envsoft.2026.107145
1732. Evaluating the performance of coupled model intercomparison project phase 6 (CMIP6) models in simulating rainfall characteristics over West Africa M. Odunmorayo & E. Adefisan https://doi.org/10.1007/s44274-025-00406-4
1733. Predicting the potential distribution of Euryale ferox in China under future climate scenarios using MaxEnt modeling B. Xue et al. https://doi.org/10.1038/s41598-026-54261-1
1734. Stratospheric Ozone Changes From Explosive Tropical Volcanoes: Modeling and Ice Core Constraints A. Ming et al. https://doi.org/10.1029/2019JD032290
1735. Future shifts in climatic conditions promoting northward expansion of the Mediterranean climate in the circum-Mediterranean region Y. Boussalim & Y. Dallahi https://doi.org/10.1007/s10661-024-13286-7
1736. Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. https://doi.org/10.3390/land12071435
1737. A new paleoclimate perspective shows that arid regions will be drier under global warming conditions Y. Li et al. https://doi.org/10.1017/qua.2024.60
1738. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
1739. Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment Y. Zhou et al. https://doi.org/10.1016/j.jhydrol.2024.131888
1740. Substantial increase in future fluvial flood risk projected in China’s major urban agglomerations R. Jiang et al. https://doi.org/10.1038/s43247-023-01049-0
1741. Detectable global temperature responses to wildfires and volcanic eruptions Y. Li et al. https://doi.org/10.1073/pnas.2525500123
1742. Global modeling of SDG indicators related to small-scale farmers: testing in a changing climate N. Nozaki et al. https://doi.org/10.1088/2515-7620/acc3e2
1743. On warm bias and mesoscale dynamics setting the Southern Ocean large-scale circulation mean state M. Zeller & T. Martin https://doi.org/10.1016/j.ocemod.2024.102426
1744. HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts C. Whaley et al. https://doi.org/10.5194/gmd-18-3265-2025
1745. Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble A. Zarrin & A. Dadashi-Roudbari https://doi.org/10.1007/s00704-021-03568-2
1746. Northern Hemisphere drought risk in a warming climate D. Balting et al. https://doi.org/10.1038/s41612-021-00218-2
1747. Rising vulnerability of compound risk inequality to ageing and extreme heatwave exposure in global cities M. Chen et al. https://doi.org/10.1038/s42949-023-00118-9
1748. Explainable machine learning and extreme value analysis for precipitation projections in coastal Eastern Mediterranean Türkiye F. Deniz Cüvitoğlu & A. Cüvitoğlu https://doi.org/10.1007/s00704-026-06560-w
1749. Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature S. Schöngart et al. https://doi.org/10.5194/gmd-17-8283-2024
1750. Embedding the frontiers in climate action: navigating the evolving earth-human ecosystem Y. Zheng et al. https://doi.org/10.1038/s44168-025-00304-8
1751. Brief communication: Sensitivity analysis of peak water to ice thickness and temperature: A case study in the Western Kunlun Mountains of the Tibetan Plateau L. Gimenes et al. https://doi.org/10.5194/tc-20-171-2026
1752. Thermal evolution (1850–2100) of a Mediterranean coastal tourism hotspot: insights from Muğla region, Türkiye M. Çelik & A. Bilik https://doi.org/10.1007/s42990-026-00270-1
1753. Climate change projected to impact structural hillslope connectivity at the global scale A. Michalek et al. https://doi.org/10.1038/s41467-023-42384-2
1754. Role of Atlantic multidecadal variability in modulating Arctic sea ice loss and wetting Z. Cai et al. https://doi.org/10.1126/sciadv.ady7595
1755. Evaluation of SO2, SO42− and an updated SO2 dry deposition parameterization in the United Kingdom Earth System Model C. Hardacre et al. https://doi.org/10.5194/acp-21-18465-2021
1756. Predicting crop yields in Senegal using machine learning methods A. Sarr & B. Sultan https://doi.org/10.1002/joc.7947
1757. Adaptation measures of the potential double cropping region in Northern China to future climate change K. Guan et al. https://doi.org/10.1016/j.scitotenv.2024.172203
1758. Skill assessment of global climate model wind speed from CMIP5 and CMIP6 and evaluation of projections for the Bay of Bengal A. Krishnan & P. Bhaskaran https://doi.org/10.1007/s00382-020-05406-z
1759. Migration, land loss and costs to 2100 due to coastal flooding under the IPCC AR6 sea-level rise scenarios and plausible adaptation choices C. Ballesteros et al. https://doi.org/10.3389/fmars.2025.1505633
1760. Modeling the current and future habitat suitability of clematis tangutica (ranunculaceae) on the qinghai-tibet plateau based on an ensemble method W. Yuan et al. https://doi.org/10.1007/s10661-024-13538-6
1761. Assessment of future heat stress in Vietnam using physically based wet-bulb globe temperature and high-resolution downscaled projections D. Nguyen-Le et al. https://doi.org/10.1088/2515-7620/ae3897
1762. Mid-Holocene Intertropical Convergence Zone migration: connection with Hadley cell dynamics and impacts on terrestrial hydroclimate J. Bian et al. https://doi.org/10.5194/cp-21-1209-2025
1763. Assessment of total and extreme precipitation over central Asia via statistical downscaling: Added value and multi-model ensemble projection L. Fan et al. https://doi.org/10.1016/j.accre.2023.01.004
1764. On the climate sensitivity and historical warming evolution in recent coupled model ensembles C. Flynn & T. Mauritsen https://doi.org/10.5194/acp-20-7829-2020
1765. Intensity and dynamics of extreme cold spells of the 21st century in France from CMIP6 data C. Cadiou & P. Yiou https://doi.org/10.5194/esd-16-1759-2025
1766. Assessment of a New Fire Risk Index for the Atlantic Forest, Brazil R. Delgado et al. https://doi.org/10.3390/f13111844
1767. Constraining the Date of a Seasonally Ice‐Free Arctic Using a Simple Model D. Bonan et al. https://doi.org/10.1029/2021GL094309
1768. Storylines of summer streamflow droughts in western Canadian watersheds: historical attribution and future projections R. Shrestha & A. Cannon https://doi.org/10.1038/s44304-026-00204-9
1769. Assessing the Performance of CMIP6 Models in Simulating Droughts across Global Drylands X. Yu et al. https://doi.org/10.1007/s00376-023-2278-4
1770. Evaluation of Dynamical Seasonal Prediction Skills for Tropical Cyclone Activity over the South China Sea in FGOALS-f2 J. Li et al. https://doi.org/10.3390/atmos14010085
1771. Greenhouse Warming Reduces Global Energy Conversion Into Oceanic Lee Waves Z. Yang et al. https://doi.org/10.1029/2023GL104467
1772. Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin F. Ehmele et al. https://doi.org/10.5194/nhess-22-677-2022
1773. Bias correction of CMIP6 models using quantile delta mapping for projecting future IDF curves: case study of the hyderabad metropolitan region S. Saravanan & S. Ji https://doi.org/10.1007/s00704-026-06366-w
1774. The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases—The Fellowship of the GCMs M. Turbet et al. https://doi.org/10.3847/PSJ/ac6cf0
1775. Climate variability amplifies the need for vector-borne disease outbreak preparedness W. Hart et al. https://doi.org/10.1073/pnas.2507311122
1776. The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe S. Rabin et al. https://doi.org/10.1088/1748-9326/ac6312
1777. Soil carbon stocks can be negatively affected by land use and climate change in natural ecosystems of semi-arid environment of Iran Y. Kooch et al. https://doi.org/10.1016/j.geodrs.2022.e00591
1778. À quel climat futur adapter les activités économiques en France ? J. Soubeyroux https://doi.org/10.3917/re1.118.0007
1779. XGBoost-Based Susceptibility Model Exhibits High Accuracy and Robustness in Plateau Forest Fire Prediction C. Yang et al. https://doi.org/10.3390/f17010074
1780. A templex-based study of the Atlantic Meridional Overturning Circulation dynamics in idealized chaotic models C. Mosto et al. https://doi.org/10.1063/5.0231713
1781. Winter Dormant Wheat Will Benefit From Mean Temperature Increase of 2°C When Well‐Watered and Fertilized in the Main Producing Regions of China R. Wang et al. https://doi.org/10.1111/gcb.70324
1782. Asymmetric limitation of photosynthesis and respiration by high-temperature stress and the buffering effect on carbon balance Y. Shao & C. Jing https://doi.org/10.1016/j.ecoinf.2026.103987
1783. Understanding changes in cloud simulations from E3SM version 1 to version 2 Y. Zhang et al. https://doi.org/10.5194/gmd-17-169-2024
1784. Variations in mineralogy of dust in an ice core obtained from northwestern Greenland over the past 100 years N. Nagatsuka et al. https://doi.org/10.5194/cp-17-1341-2021
1785. Understanding climate changes in East Asia and Europe based on spatial climate analogs S. Paik et al. https://doi.org/10.1088/1748-9326/ad32e9
1786. Thermodynamics of Evaporation from the Ocean Surface R. Feistel & O. Hellmuth https://doi.org/10.3390/atmos14030560
1787. Climate Change Will Lead to a Significant Reduction in the Global Cultivation of Panicum milliaceum P. Jiang et al. https://doi.org/10.3390/atmos14081297
1788. Climate Projections for the Southern Ocean Reveal Impacts in the Marine Microbial Communities Following Increases in Sea Surface Temperature M. Tonelli et al. https://doi.org/10.3389/fmars.2021.636226
1789. Evaluation and projection of changes in temperature and precipitation over Northwest China based on CMIP6 models X. Song et al. https://doi.org/10.1002/joc.8622
1790. Development of anthropogenic water regulation for Community integrated Earth System model (CIESM) H. Guo et al. https://doi.org/10.1016/j.jhydrol.2024.131192
1791. Projected future temperature, precipitation, and drought conditions in the Muger River sub-basin, central Ethiopia, using CMIP6 models G. Gebreegziabher et al. https://doi.org/10.1007/s44292-025-00051-9
1792. Seasonal advance of intense tropical cyclones in a warming climate K. Shan et al. https://doi.org/10.1038/s41586-023-06544-0
1793. Acceleration of U.S. Southeast and Gulf coast sea-level rise amplified by internal climate variability S. Dangendorf et al. https://doi.org/10.1038/s41467-023-37649-9
1794. Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California K. Musselman et al. https://doi.org/10.5194/tc-11-2847-2017
1795. The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7 N. Gillett et al. https://doi.org/10.5194/gmd-18-4399-2025
1796. Time series of the summertime atmospheric water vapour isotopic composition at Concordia station, East Antarctica I. Ollivier et al. https://doi.org/10.5194/essd-17-5655-2025
1797. Historical Simulations With HadGEM3‐GC3.1 for CMIP6 M. Andrews et al. https://doi.org/10.1029/2019MS001995
1798. Springtime soil moisture variability and its changing environmental drivers: a CMIP6 multi-model ensemble analysis for the subtropical East Asian region S. Koralegedara et al. https://doi.org/10.1186/s40562-025-00436-z
1799. Beyond wind-induced upwelling: diverse drivers of future productivity in eastern boundary upwelling systems E. Cioffi et al. https://doi.org/10.5194/bg-23-6073-2026
1800. Automated, reliable, and efficient continental-scale replication of 7.3 petabytes of computational simulation data: A case study L. Lacinski et al. https://doi.org/10.1177/10943420261441742
1801. Predicting future habitat suitability of the Khejri root borer, Acanthophorus serraticornis (Oliver) under CMIP6 climate projections T. Bhoi et al. https://doi.org/10.1007/s44288-026-00585-4
1802. Predicting climate change impacts on the distribution of vereda wetland plant species in the Brazilian Cerrado L. Passos et al. https://doi.org/10.1093/aob/mcaf120
1803. Climatic pacing of extreme Nile floods during the North African Humid Period C. Blanchet et al. https://doi.org/10.1038/s41561-024-01471-9
1804. Drivers of Twenty-First Century U.S. Winter Precipitation Trends in CMIP6 Models: A Storyline-Based Approach D. Schmidt & K. Grise https://doi.org/10.1175/JCLI-D-21-0080.1
1805. The pace of change of summertime temperature extremes K. McKinnon et al. https://doi.org/10.1073/pnas.2406143121
1806. Uncertainties in estimating the effect of climate change on 100-year return value for significant wave height K. Ewans & P. Jonathan https://doi.org/10.1016/j.oceaneng.2023.113840
1807. Interaction between Arctic sea ice and the Atlantic meridional overturning circulation in a warming climate W. Liu & A. Fedorov https://doi.org/10.1007/s00382-021-05993-5
1808. Distinct drivers of recent seasonal precipitation increase over Central Asia: roles of anthropogenic aerosols and greenhouse gases J. Guo et al. https://doi.org/10.5194/acp-26-5169-2026
1809. Responses to future climate change in hydrological processes and hydrological drought in the upstream of Shiyang river basin, Northwest China R. Zhu et al. https://doi.org/10.1016/j.ejrh.2025.102310
1810. A Possible Approach for Decadal Prediction of the PDO Y. Huang & H. Wang https://doi.org/10.1007/s13351-020-9144-4
1811. Future Chronic and Acute Air Pollution Deaths in China under Climate Change and Emission Reduction M. Cui et al. https://doi.org/10.1021/acs.est.6c03570
1812. Asymmetric response of day-to-day temperature variability to CO₂ forcing over Northern Hemisphere mid–high latitudes R. Gan et al. https://doi.org/10.1038/s41612-026-01372-1
1813. Statistical calibrations to improve the 2–5-year prediction skill for SST over the North Atlantic M. Pan et al. https://doi.org/10.1007/s00703-022-00888-4
1814. Future runoff simulation based on different typical climate models: a case study in the Yalong River basin W. Feng et al. https://doi.org/10.1038/s41598-026-51969-y
1815. The Yangtze River Delta experienced strong seasonality and regular summer upwelling during the warm mid-Holocene M. Alberti et al. https://doi.org/10.1038/s43247-024-01668-1
1816. Intraseasonal shift in the wintertime North Atlantic jet structure projected by CMIP6 models M. García-Burgos et al. https://doi.org/10.1038/s41612-024-00775-2
1817. Human influence on the recent weakening of storm tracks in boreal summer R. Chemke & D. Coumou https://doi.org/10.1038/s41612-024-00640-2
1818. Anthropogenic climate change is worsening North American pollen seasons W. Anderegg et al. https://doi.org/10.1073/pnas.2013284118
1819. Projected Hydroclimate Changes on Hispaniola Island through the 21st Century in CMIP6 Models D. Herrera et al. https://doi.org/10.3390/atmos12010006
1820. The Asymmetric Response of the Spring and Autumn Atmospheric Circulation over East Asia to a Warming Climate A. KITOH & H. ENDO https://doi.org/10.2151/jmsj.2025-028
1821. Historical assessment and future projection of extreme precipitation in CMIP6 models: Global and continental T. Feng et al. https://doi.org/10.1002/joc.8077
1822. Future changes in precipitation over Guinea-Bissau under the Shared Socioeconomic Pathways (SSPs) J. Basse et al. https://doi.org/10.2166/wcc.2025.140
1823. Influence of Anthropogenic Activities on Elevation‐Dependent Weakening of Annual Temperature Cycle Amplitude Over the Tibetan Plateau L. Zhu et al. https://doi.org/10.1029/2021GL095494
1824. Spatial and Temporal Change in Surface Air Temperature in the Tibetan Plateau and Future Warming as a Function of Global Warming H. Wang et al. https://doi.org/10.3390/atmos17050453
1825. Hadley cell expansion in CMIP6 models K. Grise & S. Davis https://doi.org/10.5194/acp-20-5249-2020
1826. The time of emergence of climate-induced hydrologic change in Australian rivers A. John et al. https://doi.org/10.1016/j.jhydrol.2023.129371
1827. Emergent Constraints on Future Changes in Several Climate Variables and Extreme Indices from Global to Regional Scales H. Shiogama et al. https://doi.org/10.2151/sola.2024-017
1828. Global sensitivity of tropospheric ozone to precursor emissions in clean and present-day atmospheres: insights from AerChemMIP simulations W. Wang & C. Gao https://doi.org/10.5194/acp-25-14535-2025
1829. Improving access and use of climate projections for ecological research through the use of a new Python tool A. Paz et al. https://doi.org/10.1111/ecog.07186
1830. Decadal climate predictions improved by ocean ensemble dispersion filtering C. Kadow et al. https://doi.org/10.1002/2016MS000787
1831. Can we trust CMIP5/6 future projections of European winter precipitation? E. Moreno-Chamarro et al. https://doi.org/10.1088/1748-9326/abf28a
1832. Equatorward shift of marine heatwaves centroids in the Atlantic Ocean X. Ji et al. https://doi.org/10.1038/s41612-026-01426-4
1833. Impact of climate change on Colombian Pacific coast mangrove bivalves distribution J. Selvaraj & C. Portilla-Cabrera https://doi.org/10.1016/j.isci.2024.110473
1834. Evaluating the potential of iron-based interventions in methane reduction and climate mitigation D. Meidan et al. https://doi.org/10.1088/1748-9326/ad3d72
1835. Understanding future changes of Chlorophyll-a in the Indian Ocean using CMIP6 Earth System Model simulations A. K. et al. https://doi.org/10.1016/j.dsr2.2025.105458
1836. Observation-constrained projections reveal less increase in future global terrestrial evapotranspiration Y. Luo & N. Ma https://doi.org/10.1016/j.agrformet.2026.111343
1837. Last Glacial Maximum climate and atmospheric circulation over the Australian region from climate models Y. Du et al. https://doi.org/10.5194/cp-20-393-2024
1838. Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1 T. Schwitalla et al. https://doi.org/10.5194/gmd-13-1959-2020
1839. Relative and Combined Impacts of Climate and Land Use/Cover Change for the Streamflow Variability in the Baro River Basin (BRB) S. Kassaye et al. https://doi.org/10.3390/earth5020008
1840. A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region J. Jin et al. https://doi.org/10.1029/2022JD037957
1841. Weakening of carbon sink on the Qinghai–Tibet Plateau T. Wu et al. https://doi.org/10.1016/j.geoderma.2022.115707
1842. Improving the hindcast of the northward shift of South Asian high in June with machine learning F. Zeng et al. https://doi.org/10.1016/j.atmosres.2023.107173
1843. Micrometeorological variability and climate change affect snake overwintering habitat resilience R. Fallas et al. https://doi.org/10.1016/j.ecochg.2026.100108
1844. Logarithmic CO2 warming reverses North Atlantic winter atmospheric circulation changes R. Chemke & I. Mitevski https://doi.org/10.1038/s41612-025-01314-3
1845. Long-term ambient temperature and asthma severity and hospitalization in children: a population-based study F. Makrufardi et al. https://doi.org/10.1007/s00431-026-07032-z
1846. Projection of future climate change in the Poyang Lake Basin of China under the global warming of 1.5–3°C M. Zhang et al. https://doi.org/10.3389/fenvs.2022.985145
1847. Poleward Shift in the Southern Hemisphere Westerly Winds Synchronous With the Deglacial Rise in CO2 W. Gray et al. https://doi.org/10.1029/2023PA004666
1848. Emit now, mitigate later? Earth system reversibility under overshoots of different magnitudes and durations J. Schwinger et al. https://doi.org/10.5194/esd-13-1641-2022
1849. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. https://doi.org/10.5194/gmd-13-977-2020
1850. An uncertain future change in aridity over the tropics P. Monerie et al. https://doi.org/10.1088/1748-9326/ad42b8
1851. Identification of critical drought thresholds affecting vegetation on the Mongolian Plateau H. Li et al. https://doi.org/10.1016/j.ecolind.2024.112507
1852. Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities J. Wang et al. https://doi.org/10.1038/s41558-021-01196-2
1853. Projected Changes in Hot, Dry, and Compound Hot‐Dry Extremes Over Global Land Regions P. De Luca & M. Donat https://doi.org/10.1029/2022GL102493
1854. CMIP6 projections of spatiotemporal changes in rainfall and droughts over India P. Naskar et al. https://doi.org/10.1007/s12040-023-02143-9
1855. Warming Patterns Affect El Niño Diversity in CMIP5 and CMIP6 Models M. Freund et al. https://doi.org/10.1175/JCLI-D-19-0890.1
1856. ASSESSMENT OF THE ADEQUACY OF THE REPRODUCTION OF SURFACE WATER TRANSFORMATION BY DIFFERENT CMIP6 MODELS IN THE NORTH ATLANTIC V. Kukushkin & S. Gulev https://doi.org/10.29006/1564-2291.JOR-2024.52(4).7
1857. The Zero Emissions Commitment Model Intercomparison Project (ZECMIP) contribution to C4MIP: quantifying committed climate changes following zero carbon emissions C. Jones et al. https://doi.org/10.5194/gmd-12-4375-2019
1858. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
1859. Is the recently enhanced mesoscale convective systems in East Asia due to global warming or decadal variability? Z. Lin et al. https://doi.org/10.1088/1748-9326/ae4fe6
1860. An observation-based quantile delta mapping method for generating future weather data in building performance simulations Z. Jiao et al. https://doi.org/10.1016/j.enbuild.2026.117955
1861. Variability of the M2 internal tides in the Luzon Strait under climate change Z. Guo et al. https://doi.org/10.1007/s00382-024-07148-8
1862. Assessment of climate change in the North-East region of Côte d‘Ivoire: Future precipitation, temperature, and meteorological drought using CMIP6 models K. Kouman et al. https://doi.org/10.1080/23311916.2024.2345506
1863. Mean State of the Northern Hemisphere Stratospheric Polar Vortex in Three Generations of CMIP Models J. Rao et al. https://doi.org/10.1175/JCLI-D-21-0694.1
1864. Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations S. Samuel et al. https://doi.org/10.1007/s00382-024-07325-9
1865. Poleward shifts in marine fisheries under Arctic warming P. Fauchald et al. https://doi.org/10.1088/1748-9326/ac1010
1866. The Effect of Wind Stress on Seasonal Sea-Level Change on the Northwestern European Shelf T. Hermans et al. https://doi.org/10.1175/JCLI-D-21-0636.1
1867. A qualitative assessment of integrated active cooling systems: A review with a focus on system flexibility and climate resilience E. Elnagar et al. https://doi.org/10.1016/j.rser.2023.113179
1868. Increase in Indian summer monsoon precipitation as a response to doubled atmospheric CO2: CMIP6 simulations and projections P. Khardekar et al. https://doi.org/10.1007/s00704-023-04612-z
1869. Spatiotemporal Distribution of CO in the UTLS Region in the Asian Summer Monsoon Season: Analysis of MLS Observations and CMIP6 Simulations Z. Liang et al. https://doi.org/10.3390/rs15020367
1870. Environmental transmission from bamboo rats: Mapping current and future talaromycosis risk in China under climate change N. Xu et al. https://doi.org/10.1016/j.onehlt.2025.101264
1871. Interannual synchronization of the North American summer monsoon and the North Atlantic tropical cyclone genesis frequency J. Luo et al. https://doi.org/10.1088/1748-9326/ad3d71
1872. Suitability of Natura 2000 sites for threatened freshwater species under projected climate change T. Basen et al. https://doi.org/10.1002/aqc.3899
1873. Harmful temperatures and consumption expenditure: Evidence from Nigerian households J. Animashaun et al. https://doi.org/10.1016/j.ecolecon.2025.108874
1874. Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2 Y. Song et al. https://doi.org/10.1080/01621459.2024.2360666
1875. Emergence of climate change signal in CMIP6 extreme indices N. Schuhen et al. https://doi.org/10.5194/nhess-26-753-2026
1876. Global climate model bias correction using deep learning A. Pasula & D. Subramani https://doi.org/10.1088/3049-4753/ade9c3
1877. Increase of carbon storage in the Qinghai-Tibet Plateau: Perspective from land-use change under global warming M. Gao et al. https://doi.org/10.1016/j.jclepro.2023.137540
1878. Resilience of urban road networks to climate change: a spatial-topological approach S. Ashja-Ardalan et al. https://doi.org/10.1016/j.trd.2025.104948
1879. Reassessing Future Runoff Changes in the Ala-Archa Basin, Central Asia F. Meng et al. https://doi.org/10.3390/w18162016
1880. Observations Indicate That Clouds Amplify Mechanisms of Southern Ocean Heat Uptake A. Morrison et al. https://doi.org/10.1029/2021JD035487
1881. Assessment of the cost of climate change impacts on critical infrastructure in the circumpolar Arctic L. Suter et al. https://doi.org/10.1080/1088937X.2019.1686082
1882. Response of PM2.5 concentration to climate variability and climate change prediction in China W. Li et al. https://doi.org/10.1016/j.jastp.2025.106588
1883. Evaluating the Influence of Climate Change on Sophora moorcroftiana (Benth.) Baker Habitat Distribution on the Tibetan Plateau Using Maximum Entropy Model F. Xin et al. https://doi.org/10.3390/f12091230
1884. Land-use change and rodent-borne diseases: hazards on the shared socioeconomic pathways G. García-Peña et al. https://doi.org/10.1098/rstb.2020.0362
1885. Air‐Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea O. Gutjahr et al. https://doi.org/10.1029/2021JC018075
1886. Increasing fluctuations in the Arctic summer sea ice cover are expected with future global warming A. Poltronieri et al. https://doi.org/10.1088/2752-5295/ad519d
1887. Evaluation of historical CMIP6 model simulations and future projections of temperature over the Pan-Third Pole region X. Fan et al. https://doi.org/10.1007/s11356-021-17474-7
1888. Large increases in public R&D investment are needed to avoid declines of US agricultural productivity A. Ortiz-Bobea et al. https://doi.org/10.1073/pnas.2411010122
1889. Earlier carbon neutrality more effectively limits heat exposure of urban populations in developing continents S. Oh et al. https://doi.org/10.1088/1748-9326/ae0ce1
1890. Projected changes in population exposure to drought in China under CMIP6 forcing scenarios F. Zhao et al. https://doi.org/10.1016/j.atmosenv.2022.119162
1891. Distribution Expansion of Dengue Vectors and Climate Change in India S. Hussain & R. Dhiman https://doi.org/10.1029/2021GH000477
1892. Mechanisms behind large-scale inconsistencies between regional and global climate model-based projections over Europe I. Taranu et al. https://doi.org/10.1007/s00382-022-06540-6
1893. Impact of SST and ocean dynamics on the interannual variability of air-sea CO2 fluxes in the tropical Pacific Q. Sun & Y. Du https://doi.org/10.1007/s00382-025-07598-8
1894. Intensified Likelihood of Concurrent Warm and Dry Months Attributed to Anthropogenic Climate Change F. Chiang et al. https://doi.org/10.1029/2021WR030411
1895. Decipher soil organic carbon density dynamics, driving forces and future stability across Southwest China L. Wang et al. https://doi.org/10.1016/j.geoderma.2025.117537
1896. Opposing hydroclimate extremes in Central and mainland Southeast Asia over past millennium N. Wang et al. https://doi.org/10.1038/s41561-026-02020-2
1897. Identifying climate models based on their daily output using machine learning L. Brunner & S. Sippel https://doi.org/10.1017/eds.2023.23
1898. Machine learning-based prediction of antibiotic resistance gene distribution in agricultural soils under different climate change scenarios M. Kenzi et al. https://doi.org/10.1016/j.scitotenv.2026.181905
1899. Reconciling Human and Natural Drivers of the Tripole Pattern of Multidecadal Summer Temperature Variations Over Eurasia W. Hua et al. https://doi.org/10.1029/2021GL093971
1900. Changes in photovoltaic power output variability due to climate change in China: A multi-model ensemble mean analysis H. Zuo et al. https://doi.org/10.1063/5.0189613
1901. Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways N. Zeydalinejad & R. Dehghani https://doi.org/10.1016/j.gsd.2022.100882
1902. Projecting the impact of climate change and elevated CO2 concentration on rice irrigation water requirement in China B. Sun et al. https://doi.org/10.1016/j.scitotenv.2023.168489
1903. Future trends in atmospheric circulation patterns over Africa south of the equator C. Ibebuchi https://doi.org/10.2166/wcc.2022.172
1904. Late Pliocene ice sheets as an analogue for future climate: a sensitivity study of the polar Southern Hemisphere K. Power et al. https://doi.org/10.5194/esd-16-1845-2025
1905. The impact of income-driven changes in global consumption patterns on Kyoto Gas emissions during the twenty-first century S. Bones & R. Timmerman https://doi.org/10.1016/j.ecolecon.2024.108372
1906. Merits of dietary patterns for China’s future food security satisfying socioeconomic development and climate change adaptation W. Yue et al. https://doi.org/10.1016/j.isci.2025.112859
1907. Modulation of the northern polar vortex by the Hunga Tonga–Hunga Ha'apai eruption and the associated surface response A. Kuchar et al. https://doi.org/10.5194/acp-25-3623-2025
1908. Will seed dispersers keep pace? Vulnerability of seed-dispersing mammals to climate change in the Mesoamerican seasonally dry forest C. Rangel-Rivera et al. https://doi.org/10.1007/s10113-026-02595-x
1909. Assessing hydrological performance for optimized integrated grey-green infrastructure in response to climate change based on shared socio-economic pathways M. Wang et al. https://doi.org/10.1016/j.scs.2023.104436
1910. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. https://doi.org/10.5194/acp-19-6821-2019
1911. Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. https://doi.org/10.5194/acp-22-14603-2022
1912. Projections of precipitation and temperatures in Greenland and the impact of spatially uniform anomalies on the evolution of the ice sheet N. Bochow et al. https://doi.org/10.5194/tc-18-5825-2024
1913. Evidence and Controls of the Acceleration of the Hydrological Cycle Over Land Y. Wang et al. https://doi.org/10.1029/2022WR033970
1914. The Role of Anthropogenic Forcing in Western United States Hydroclimate Extremes W. Zhang & R. Gillies https://doi.org/10.1029/2022GL100659
1915. Centennial Memory of the Arctic Ocean for Future Arctic Climate Recovery in Response to a Carbon Dioxide Removal J. Oh et al. https://doi.org/10.1029/2022EF002804
1916. Hydrologic responses to hot droughts in the Yangtze River Basin Y. Zhang et al. https://doi.org/10.1016/j.accre.2025.12.005
1917. Random Forests for Wildfire Insurance Applications R. Bairakdar et al. https://doi.org/10.66573/001c.81983
1918. Using historical temperature to constrain the climate sensitivity, the transient climate response, and aerosol-induced cooling O. Morgenstern https://doi.org/10.5194/acp-24-8105-2024
1919. Spatiotemporal Dynamics of Drought–Flood Abrupt Alternations and Their Delayed Effects on Vegetation Growth in Heilongjiang River Basin H. Ma et al. https://doi.org/10.3390/w17101419
1920. Anthropogenic aerosol and cryosphere changes drive Earth’s strong but transient clear-sky hemispheric albedo asymmetry M. Diamond et al. https://doi.org/10.1038/s43247-022-00546-y
1921. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. https://doi.org/10.5194/gmd-14-4283-2021
1922. An integrated and homogenized global surface solar radiation dataset and its reconstruction based on a convolutional neural network approach B. Jiao et al. https://doi.org/10.5194/essd-15-4519-2023
1923. The 3D-Geoformer for ENSO studies: a Transformer-based model with integrated gradient methods for enhanced explainability L. Zhou & R. Zhang https://doi.org/10.1007/s00343-025-4330-y
1924. Sometimes missing the heat: the risk of underestimating extreme heat days with daily maximum heat index approximation W. Xu et al. https://doi.org/10.1007/s00484-025-03001-7
1925. Soil organic carbon models need independent time-series validation for reliable prediction J. Le Noë et al. https://doi.org/10.1038/s43247-023-00830-5
1926. Subsurface warming in the Antarctica’s Weddell Sea can be avoided by reaching the 2∘C warming target V. Teske et al. https://doi.org/10.1038/s43247-024-01238-5
1927. Current and future distributions of main dermatitis-causing insects and risks of dermatitis across China K. Wu et al. https://doi.org/10.1038/s43247-025-02352-8
1928. Quantifying the Tropical Upper Tropospheric Warming Amplification Using Radio Occultation Measurements P. Vergados et al. https://doi.org/10.1029/2020EA001597
1929. Assessment of CMIP6-Based Future Climate Projections Selected for Impact Studies in Japan M. Hayashi & H. Shiogama https://doi.org/10.2151/sola.2022-016
1930. Possibilities for Improvement in Long-term Predictions of the Operational Climate Prediction System (GloSea6) for Spring by including Atmospheric Chemistry-Aerosol Interactions over East Asia H. Song et al. https://doi.org/10.5467/JKESS.2024.45.1.19
1931. Assessment of seven different global climate models for historical temperature and precipitation in Hatay, Türkiye M. Ozbuldu & A. Irvem https://doi.org/10.1007/s13762-024-06033-5
1932. Hydrological risk of dam failure under climate change B. Carneiro et al. https://doi.org/10.1590/2318-0331.272220220017
1933. Estimating the Increase in Regional Evaporative Water Consumption as a Result of Vegetation Restoration Over the Loess Plateau, China R. Shao et al. https://doi.org/10.1029/2019JD031295
1934. Projections of compound wet-warm and dry-warm extreme events in summer over China R. Zhao et al. https://doi.org/10.1016/j.jhydrol.2024.131635
1935. The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. https://doi.org/10.5194/acp-20-10401-2020
1936. Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi) N. Butchart et al. https://doi.org/10.5194/gmd-11-1009-2018
1937. Selection of CMIP6 climate models and future climatic projection in the Gandaki River Basin, Nepal S. Lamichhane et al. https://doi.org/10.2166/wcc.2025.047
1938. Sensitivity of Marine Heatwave Metrics to Ocean Model Resolution G. Pilo et al. https://doi.org/10.1029/2019GL084928
1939. Potential benefits of limiting global warming for the mitigation of temperature extremes in China J. Guo et al. https://doi.org/10.1038/s41612-023-00412-4
1940. Attribution of Stratospheric and Tropospheric Ozone Changes Between 1850 and 2014 in CMIP6 Models G. Zeng et al. https://doi.org/10.1029/2022JD036452
1941. Economic Shock in a Climate Scenario and Its Impact on Surface Temperatures Q. Ran et al. https://doi.org/10.1029/2021EF002061
1942. Investigating the global and regional response of drought to idealized deforestation using multiple global climate models Y. Li et al. https://doi.org/10.5194/hess-29-1637-2025
1943. Expansion of winter ENSO‐associated rainfall affected area in Southeast Asia under warmer climate M. Leong et al. https://doi.org/10.1002/joc.8358
1944. The link between intertropical convergence zone stagnation and bias in local shortwave cloud radiative forcing over tropical Africa in climate models T. Dombo et al. https://doi.org/10.1088/1748-9326/ad1083
1945. Evaluation of the influence characteristics of spring equatorial air-sea information on ENSO evolution in CMIP6 models T. Cao et al. https://doi.org/10.1007/s00382-026-08231-y
1946. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al. https://doi.org/10.1016/j.agrformet.2024.110269
1947. Spatiotemporal patterns and driving factors of soil protection in the wind-water erosion area of Chinese Loess Plateau Q. Li et al. https://doi.org/10.1007/s40333-024-0033-z
1948. Drivers of uncertainty in future projections of Madden–Julian Oscillation teleconnections A. Jenney et al. https://doi.org/10.5194/wcd-2-653-2021
1949. Evaluation and progression of marine heatwaves over the northwestern Indian Ocean: A comparative study using satellite and numerical model data A. Chaitanya et al. https://doi.org/10.1016/j.rsma.2026.105033
1950. Climate warming and increasing Vibrio vulnificus infections in North America E. Archer et al. https://doi.org/10.1038/s41598-023-28247-2
1951. Using Radiative Convective Equilibrium to Explore Clouds and Climate in the Community Atmosphere Model K. Reed et al. https://doi.org/10.1029/2021MS002539
1952. Evaluation of CMIP6 GCMs performance to simulate precipitation over Southeast Asia S. Pimonsree et al. https://doi.org/10.1016/j.atmosres.2022.106522
1953. Consistency of Seasonal Mean and Extreme Precipitation Projections Over Europe Across a Range of Climate Model Ensembles N. Ritzhaupt & D. Maraun https://doi.org/10.1029/2022JD037845
1954. Retrospective ENSO predictions using an intermediate ocean-atmosphere coupled model by integrating deep-learning sea surface wind stress S. Du et al. https://doi.org/10.1007/s00343-025-5166-1
1955. Large-scale features and evaluation of the PMIP4-CMIP6 midHolocene simulations C. Brierley et al. https://doi.org/10.5194/cp-16-1847-2020
1956. Attributing extreme humid heat in South and Southeast Asia in April 2023 to climate change and its implications for vulnerable and disadvantaged communities M. Zachariah et al. https://doi.org/10.1016/j.gecadv.2026.100035
1957. The impact of global warming on ENSO from the perspective of objective signals Z. Chen et al. https://doi.org/10.1016/j.atmosres.2023.107176
1958. Future Climatic Projections and Hydrological Responses with a Data Driven Method: A Regional Climate Model Perspective H. Yang et al. https://doi.org/10.1007/s11269-024-03753-8
1959. The future North Atlantic jet stream and storm track: relative contributions from sea ice and sea surface temperature changes D. Köhler et al. https://doi.org/10.5194/wcd-6-669-2025
1960. Evaluation of Water Vapor Feedback Using a Two-Layer Atmospheric Box Model K. Morimoto et al. https://doi.org/10.3390/mmphys2020004
1961. Changes in Precipitation Characteristics over Russia in the 20th and 21st Centuries According to CMIP6 Model Ensemble Data M. Aleshina & V. Semenov https://doi.org/10.1134/S0001433823140037
1962. Increasing aerosol direct effect despite declining global emissions in MPI-ESM1.2 A. Hermant et al. https://doi.org/10.5194/acp-24-10707-2024
1963. Climate-extreme modeling framework for sustainable flood management in the Arabian Peninsula H. Karimi et al. https://doi.org/10.1016/j.jenvman.2025.127074
1964. Experiments and ocean models predict diminishing benefits of offshore overwinter migration in northern stock black sea bass Centropristis striata M. Zavell et al. https://doi.org/10.3354/meps15114
1965. Weakening of the Atlantic Meridional Overturning Circulation driven by subarctic freshening since the mid-twentieth century G. Pontes & L. Menviel https://doi.org/10.1038/s41561-024-01568-1
1966. Research trends and gaps in climate change impacts and adaptation potentials in major crops H. Wakatsuki et al. https://doi.org/10.1016/j.cosust.2022.101249
1967. Global impacts of recent Southern Ocean cooling S. Kang et al. https://doi.org/10.1073/pnas.2300881120
1968. Downscaling future precipitation with shared socioeconomic pathway (SSP) scenarios using machine learning models in the North-Western Himalayan region A. David Raj et al. https://doi.org/10.1007/s40808-024-02113-0
1969. Early emergence of climate change in tropical rainforest temperature variability due to ENSO K. LAI et al. https://doi.org/10.1038/s41612-026-01433-5
1970. Rapid attribution analysis of the extraordinary heat wave on the Pacific coast of the US and Canada in June 2021 S. Philip et al. https://doi.org/10.5194/esd-13-1689-2022
1971. Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention J. Liang & J. Haywood https://doi.org/10.5194/acp-23-1687-2023
1972. The southern annular mode and its relationship with Antarctic temperature in contrasting future storylines G. Marshall et al. https://doi.org/10.1007/s00382-026-08081-8
1973. Large scale atmospheric conditions favoring storm surges in the North and Baltic Seas and possible future changes N. Schade et al. https://doi.org/10.3389/fenvs.2025.1601836
1974. Phenological and epidemiological impacts of climate change on peach production C. Vanalli et al. https://doi.org/10.1016/j.agsy.2024.103997
1975. A Spatially Detailed Projection of Environmental Conditions in the Arctic Initiated by Climate Change A. Kislov et al. https://doi.org/10.3390/atmos14061003
1976. Large biases in the frequency of water limitation across Earth system models F. Giardina et al. https://doi.org/10.1038/s43247-025-02426-7
1977. Impact of Climate Change on Reference Evapotranspiration: Bias Assessment and Climate Models in a Semi-Arid Agricultural Zone O. Galván-Cano et al. https://doi.org/10.3390/w17213040
1978. On the Superposition of Mean Advective and Eddy-Induced Transports in Global Ocean Heat and Salt Budgets F. Dias et al. https://doi.org/10.1175/JCLI-D-19-0418.1
1979. Global-scale multidecadal variability in climate models and observations, part II: The stadium wave S. Kravtsov et al. https://doi.org/10.1007/s00382-024-07451-4
1980. Extrapolation is not enough: impacts of extreme land use change on wind profiles and wind energy according to regional climate models J. Wohland et al. https://doi.org/10.5194/esd-15-1385-2024
1981. Evaluation of Present-Day CMIP6 Model Simulations of Extreme Precipitation and Temperature over the Australian Continent N. Nishant et al. https://doi.org/10.3390/atmos13091478
1982. Evaluation of climate variability and change in ACCESS historical simulations for CMIP6 H. Rashid et al. https://doi.org/10.1071/ES21028
1983. Weakened relationship between November Barents-Kara sea ice and January Arctic Oscillation after the mid-1990s S. Zheng et al. https://doi.org/10.1038/s41612-025-01186-7
1984. The Decadal Climate Prediction Project (DCPP) contribution to CMIP6 G. Boer et al. https://doi.org/10.5194/gmd-9-3751-2016
1985. Global warming in the pipeline J. Hansen et al. https://doi.org/10.1093/oxfclm/kgad008
1986. Evaluating the impact of enhanced horizontal resolution over the Antarctic domain using a variable-resolution Earth system model R. Datta et al. https://doi.org/10.5194/tc-17-3847-2023
1987. Recent changes in circulation patterns and their opposing impact on extreme precipitation at the west coast of Norway K. Ødemark et al. https://doi.org/10.1016/j.wace.2022.100530
1988. Projected Strengthening of the Extratropical Surface Impacts of the Stratospheric Quasi‐Biennial Oscillation J. Rao et al. https://doi.org/10.1029/2020GL089149
1989. Climate Change Projected Effects on Hamatocaulis vernicosus Occurrence in Romania S. Ștefănuț et al. https://doi.org/10.3390/plants14213354
1990. Increasing risk of another Cape Town “Day Zero” drought in the 21st century S. Pascale et al. https://doi.org/10.1073/pnas.2009144117
1991. Excess water availability in northern mid-high latitudes contiguously migrated from ocean under climate change Y. Guan et al. https://doi.org/10.1126/sciadv.adv0282
1992. A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia M. Grose et al. https://doi.org/10.1016/j.cliser.2023.100368
1993. Heat waves related to Quasi-Biweekly variability over Southern China in the FGOALS-g3 model B. Zheng et al. https://doi.org/10.1016/j.dynatmoce.2024.101443
1994. Prediction of current and future environmental suitability for Toona ciliata cultivation in Brazil A. da Mota Porto & E. Novaes https://doi.org/10.1007/s44415-025-00029-w
1995. Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies X. XIN et al. https://doi.org/10.2151/jmsj.2019-043
1996. A review of recent studies on wind resource projections under climate change C. Jung & D. Schindler https://doi.org/10.1016/j.rser.2022.112596
1997. Quantifying the Role of Atmospheric and Surface Albedo on Polar Amplification Using Satellite Observations and CMIP6 Model Output A. Södergren & A. McDonald https://doi.org/10.1029/2021JD035058
1998. Evaluating the Combined Impacts of Anthropogenic Disturbances and Climate Change on Future Streamflow Variations in the Minjiang River Basin M. Chen et al. https://doi.org/10.3390/hydrology13090247
1999. Global Increase of the Intensity of Tropical Cyclones under Global Warming Based on their Maximum Potential Intensity and CMIP6 Models A. Pérez-Alarcón et al. https://doi.org/10.1007/s40710-023-00649-4
2000. Solar tower power generation under future attenuation and climate scenarios J. Polo et al. https://doi.org/10.1016/j.rser.2024.114997
2001. Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer https://doi.org/10.1088/2752-5295/ad574e
2002. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. https://doi.org/10.1038/s43017-022-00379-5
2003. Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. https://doi.org/10.5194/acp-23-13755-2023
2004. Reduced range size and Important Bird and Biodiversity Area coverage for the Harpy Eagle (Harpia harpyja) predicted from multiple climate change scenarios L. Sutton et al. https://doi.org/10.1111/ibi.13046
2005. Constraints on simulated past Arctic amplification and lapse rate feedback from observations O. Linke et al. https://doi.org/10.5194/acp-23-9963-2023
2006. The carbonate pump feedback on alkalinity and the carbon cycle in the 21st century and beyond A. Planchat et al. https://doi.org/10.5194/esd-15-565-2024
2007. The Diurnal Temperature Range in CMIP6 Models: Climatology, Variability, and Evolution K. Wang & G. Clow https://doi.org/10.1175/JCLI-D-19-0897.1
2008. Predicting the response of three common subtropical tree species in China to climate change S. Jin et al. https://doi.org/10.3389/ffgc.2023.1299120
2009. Unraveling uncertainties in near-term runoff projections across Europe: the major role of atmospheric noise J. Deman & J. Boé https://doi.org/10.1088/1748-9326/addb66
2010. Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. https://doi.org/10.2139/ssrn.4567664
2011. PT-ESM: A Parameter-Testing and Integration Framework for Earth System Models Oriented towards High-Performance Computing J. Guo et al. https://doi.org/10.3390/atmos15080935
2012. Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios L. Yao et al. https://doi.org/10.1007/s40333-022-0094-9
2013. Multi-year La Niña frequency tied to southward tropical Pacific wind shift G. Wang & A. Santoso https://doi.org/10.1038/s41612-024-00772-5
2014. Dissolved inorganic carbon entrainment into the mixed layer of the western subarctic North Pacific: a key process of ocean acidification under historical carbon dioxide emissions A. Nagano et al. https://doi.org/10.1186/s40645-025-00709-3
2015. Reliability of HighResMIP CMIP6 Models for Indian Summer Monsoon Extremes and Intraseasonal Variability: Insights from Enhanced Horizontal Resolution A. Kumari et al. https://doi.org/10.1007/s41748-025-00974-8
2016. Grassland Greening and Water Resource Availability May Coexist in a Warming Climate in Northern China and the Tibetan Plateau C. Zhang et al. https://doi.org/10.1029/2023EF004037
2017. Temperature and radiative responses to anthropogenic aerosols over the Mediterranean Basin based on CMIP6 Earth system models A. Kalisoras et al. https://doi.org/10.5194/acp-26-9413-2026
2018. Projected urban exposure to extreme precipitation over South Asia S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2022.153664
2019. Ecological forecasts of insect range dynamics: a broad range of taxa includes winners and losers under future climate N. Neupane et al. https://doi.org/10.1016/j.cois.2024.101159
2020. Impacts of Land Use Change on Carbon Storage and Future Projections in the Yangtze River Delta Urban Agglomeration Under SSP-RCP Scenarios Y. Weng et al. https://doi.org/10.3390/land15020297
2021. Recent European drying and its link to prevailing large-scale atmospheric patterns S. Bakke et al. https://doi.org/10.1038/s41598-023-48861-4
2022. The El Niño–Southern Oscillation teleconnection to southern Africa in a changing climate J. Steinkopf & F. Engelbrecht https://doi.org/10.1088/1748-9326/ade60e
2023. High-resolution projections of future FWI conditions for Portugal according to CMIP6 future climate scenarios S. Cardoso Pereira et al. https://doi.org/10.1007/s00704-024-05142-y
2024. The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections J. Cos et al. https://doi.org/10.5194/esd-13-321-2022
2025. Assessment of model projections of climate‐change induced extreme storms on the south‐east coast of Australia W. Zhu et al. https://doi.org/10.1002/joc.8446
2026. Global assessment of terrestrial precipitation and evapotranspiration in CMIP6 simulations using observation-based estimates S. Sun et al. https://doi.org/10.3389/frwa.2025.1520258
2027. A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse B. Wijesiri et al. https://doi.org/10.3390/su122410463
2028. Mechanisms for African easterly wave changes in simulations of the mid-Holocene J. Bian et al. https://doi.org/10.1007/s00382-023-06736-4
2029. North Atlantic Ocean Circulation and Related Exchange of Heat and Salt Between Water Masses S. Berglund et al. https://doi.org/10.1029/2022GL100989
2030. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.3
2031. On the Resolution Sensitivity of Equatorial Precipitation in a GFDL Global Atmospheric Model P. Lin et al. https://doi.org/10.1029/2022MS003300
2032. Quantifying CMIP6 model uncertainties in extreme precipitation projections A. John et al. https://doi.org/10.1016/j.wace.2022.100435
2033. The Evolution of (Digital) Pedology – drawing from the past, adapting to the future A. McBratney et al. https://doi.org/10.1016/j.geoderma.2025.117588
2034. Assessment of the impact of climate change on the hydrological performance of bioretention facilities under different low-permeability native soil scenarios S. Zheng et al. https://doi.org/10.1088/2631-8695/adc169
2035. Climate simulations using MRI-ESM2 with 60 km resolution atmosphere and data assimilated ocean R. Mizuta et al. https://doi.org/10.1007/s44394-025-00011-2
2036. Properties, sensitivity, and stability of the Southern Hemisphere salinity minimum layer in the UKESM1 model O. Meuriot et al. https://doi.org/10.1007/s00382-022-06304-2
2037. Climate Change Threatens Karst Water Resources in the Zagros Mountains: Insights from CMIP6 and Machine Learning M. Shahi et al. https://doi.org/10.1007/s41748-026-01169-5
2038. The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component S. YUKIMOTO et al. https://doi.org/10.2151/jmsj.2019-051
2039. Modulation of Atlantic Multidecadal Oscillation on ENSO-East Asian early summer monsoon connection: role of a tropical pathway M. Xu et al. https://doi.org/10.1007/s00382-023-06811-w
2040. Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. https://doi.org/10.5194/bg-19-4671-2022
2041. Manifold increase in the spatial extent of heatwaves in the terrestrial Arctic M. Rantanen et al. https://doi.org/10.1038/s43247-024-01750-8
2042. Interannual variability of spring rainfall over South China in association with the North Pacific Oscillation and North Atlantic Oscillation as revealed by reanalysis data and CMIP6 simulations S. Hao et al. https://doi.org/10.1007/s00382-024-07293-0
2043. Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change E. Burke et al. https://doi.org/10.5194/tc-14-3155-2020
2044. Wind stilling shapes grassland water use efficiency by enhancing soil moisture retention H. Wu et al. https://doi.org/10.1126/sciadv.aee4995
2045. Polar Winter Processes: An Under-Represented Research Focus within the Coupled Earth System X. Yang et al. https://doi.org/10.1007/s00376-026-6256-5
2046. The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau H. Hu et al. https://doi.org/10.3390/d13120682
2047. Enhancing reliability in climate projections: A novel approach for selecting global climate models B. Tanimu et al. https://doi.org/10.1016/j.pce.2024.103598
2048. Ecological niches and climate-driven range shifts in Hemorrhois snakes: implications for biogeography M. Şahin https://doi.org/10.3897/herpetozoa.38.e151017
2049. The Early Eocene South Indian subtropical gyre in DeepMIP paleoclimate simulations T. Le Hir et al. https://doi.org/10.1016/j.palaeo.2026.113830
2050. Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1016/j.sciaf.2022.e01181
2051. Extreme event counterfactual analysis of electricity consumption in Brazil: Historical impacts and future outlook under climate change G. Zuin et al. https://doi.org/10.1016/j.energy.2023.128101
2052. Warming effects of reduced sulfur emissions from shipping M. Yoshioka et al. https://doi.org/10.5194/acp-24-13681-2024
2053. The underappreciated importance of small wetlands in global methane emissions F. Li et al. https://doi.org/10.1038/s41558-026-02609-w
2054. Uncertainties in highresmip models in simulating rainfall over West Africa based on the choice of reference data K. Yamoah et al. https://doi.org/10.1007/s00704-026-06021-4
2055. Assessment of 21st Century Changing Sea Surface Temperature, Rainfall, and Sea Surface Height Patterns in the Tropical Pacific Islands Using CMIP6 Greenhouse Warming Projections L. Dhage & M. Widlansky https://doi.org/10.1029/2021EF002524
2056. Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2) D. Iovino et al. https://doi.org/10.5194/gmd-16-6127-2023
2057. Decomposing Temperature Extremes Errors in CMIP5 and CMIP6 Models A. Di Luca et al. https://doi.org/10.1029/2020GL088031
2058. Mechanisms of Reduced Mid‐Holocene Precipitation in Arid Central Asia as Simulated by PMIP3/4 Models T. Wang et al. https://doi.org/10.1029/2021JD036153
2059. Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem M. Mahdian et al. https://doi.org/10.1029/2023JD039538
2060. The Independent Volcanic Eruption Source Parameter Archive (IVESPA, version 1.0): A new observational database to support explosive eruptive column model validation and development T. Aubry et al. https://doi.org/10.1016/j.jvolgeores.2021.107295
2061. Projected 21st-century changes in marine heterotrophic bacteria under climate change H. Kim et al. https://doi.org/10.3389/fmicb.2023.1049579
2062. Northward migration of the East Asian summer monsoon northern boundary during the twenty-first century Z. Wang et al. https://doi.org/10.1038/s41598-022-13713-0
2063. Relations of Enhanced High‐Latitude Concurrent Blockings With Recent Warm Arctic‐Cold Continent Patterns L. Zhao et al. https://doi.org/10.1029/2021JD036117
2064. Air-conditioning adoption and electricity demand highlight climate change mitigation–adaptation tradeoffs F. Colelli et al. https://doi.org/10.1038/s41598-023-31469-z
2065. Preface for “Projection and impact assessment of global change” M. Kawamiya et al. https://doi.org/10.1186/s40645-021-00422-x
2066. Contrasting Recent and Future ITCZ Changes From Distinct Tropical Warming Patterns W. Zhou et al. https://doi.org/10.1029/2020GL089846
2067. Global record-shattering breadbasket droughts emerge from moderately extreme regional events J. Li et al. https://doi.org/10.1038/s41467-026-70700-z
2068. Future runoff trends in the mang river basin of China: Implications of carbon emission paths T. Chen et al. https://doi.org/10.1016/j.jenvman.2024.123843
2069. General Circulation Model Errors Are Variable across Exoclimate Parameter Spaces P. Kopparla et al. https://doi.org/10.3847/1538-4357/ac2d27
2070. An integrated framework for habitat restoration in fire-prone areas. Part 2 – fire hazard assessment of the different land management scenarios R. Vaz et al. https://doi.org/10.1071/WF24044
2071. Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections A. Ogunrinde et al. https://doi.org/10.1016/j.clet.2026.101145
2072. Adapting normative methods for highway drainage design to climatic nonstationarity in Uzbekistan: a risk assessment based on ERA5 reanalysis B. Salimova et al. https://doi.org/10.21595/vp.2026.26140
2073. Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5 X. Lu et al. https://doi.org/10.1029/2020MS002105
2074. Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology T. Williamson & C. Barton https://doi.org/10.1016/j.scitotenv.2020.140605
2075. Drivers and impacts of Eastern African rainfall variability P. Palmer et al. https://doi.org/10.1038/s43017-023-00397-x
2076. Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools K. Gehlen et al. https://doi.org/10.5334/dsj-2022-007
2077. The Community Earth System Model Version 2 (CESM2) G. Danabasoglu et al. https://doi.org/10.1029/2019MS001916
2078. Projecting Changes in Rainfall Extremes for the Huai River Basin in the Context of 1.5 °C and 2 °C Global Warming Y. Wang et al. https://doi.org/10.3390/atmos13101708
2079. Constraint learning-based optimal operation of district cooling systems with distributed water thermal energy storage X. Wei & H. Zhang https://doi.org/10.1016/j.apenergy.2026.128556
2080. Impact of Energy-Efficiency Retrofits on Office Building Energy Use, Emissions, and Peak Demand under Future Climate Scenarios in U.S. Climate Zones F. Kheiri https://doi.org/10.15377/2409-9821.2026.13.4
2081. Regional downscaling increases projected changes of maritime continent large scale rainfall extremes F. Delage et al. https://doi.org/10.1038/s41598-026-44563-9
2082. Towards an open model intercomparison platform for integrated assessment models scenarios S. Fujimori et al. https://doi.org/10.1038/s41558-025-02462-3
2083. Impacts of the Unforced Pattern Effect on the Cloud Feedback in CERES Observations and Climate Models L. Chao et al. https://doi.org/10.1029/2021GL096299
2084. No changes in overall AMOC strength in interglacial PMIP4 time slices Z. Jiang et al. https://doi.org/10.5194/cp-19-107-2023
2085. Rising rainfall variability amplifies hydroclimate extremes in eastern China L. Pei et al. https://doi.org/10.1088/1748-9326/ae5fb4
2086. Clustering future scenarios based on predicted range maps M. Davidow et al. https://doi.org/10.1111/2041-210X.14080
2087. CO2 Increase Experiments Using the CESM: Relationship to Climate Sensitivity and Comparison of CESM1 to CESM2 J. Bacmeister et al. https://doi.org/10.1029/2020MS002120
2088. RETRACTED ARTICLE: The economic commitment of climate change M. Kotz et al. https://doi.org/10.1038/s41586-024-07219-0
2089. Revealing the long-term trend of the global-scale Ginkgo biloba distribution and the impact of future climate change based on the ensemble modeling L. Wang et al. https://doi.org/10.1007/s10531-023-02593-z
2090. The impact of vegetation-dominated landscape configurations on the spatiotemporal dynamics and driving mechanisms of ecosystem services in the loess plateau M. Zhang et al. https://doi.org/10.1007/s10668-025-06790-4
2091. Forensic post-mortem interval estimation under a warming climate: a simulation of the degree-day model’s upper-limit blind spot M. Darılmaz https://doi.org/10.1007/s10584-026-04274-6
2092. CERESMIP: a climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance G. Schmidt et al. https://doi.org/10.3389/fclim.2023.1202161
2093. Contrasting Responses of Atlantic and Pacific Tropical Cyclone Activity to Atlantic Multidecadal Variability H. Huang et al. https://doi.org/10.1029/2023GL102959
2094. Climate and Cropland Jointly Shape Future Habitat Suitability of Major Stored-Product Callosobruchus Pests R. Al-Akeel et al. https://doi.org/10.3390/agriculture16161795
2095. Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline S. Michel et al. https://doi.org/10.1088/1748-9326/add7f0
2096. Exposure and sensitivity of threatened plant species to changing drought regimes: A global analysis S. Everingham et al. https://doi.org/10.1016/j.biocon.2025.111684
2097. Assessment of plausible changes in Climatic Impact-Drivers relevant for the viticulture sector: A storyline approach with a climate service perspective J. Mindlin et al. https://doi.org/10.1016/j.cliser.2024.100480
2098. Impacts on compound drought heatwave events in Australia per global warming level S. Chapman et al. https://doi.org/10.1088/1748-9326/adc8bd
2099. Annual Runoff and Climate Characteristics in large River Basins of Northern Eurasia under Global Warming A. Georgiadi et al. https://doi.org/10.24057/2071-9388-2026-2423
2100. Asymmetric response of Northern Hemisphere near-surface wind speed to CO2 removal Z. Li et al. https://doi.org/10.5194/wcd-6-1107-2025
2101. Open weather and climate science in the digital era M. de Vos et al. https://doi.org/10.5194/gc-3-191-2020
2102. Assessment of the southern polar and subpolar warming in the PMIP4 last interglacial simulations using paleoclimate data syntheses Q. Gao et al. https://doi.org/10.5194/cp-21-419-2025
2103. Projected Hydrological Regime Shifts in Kazakh Rivers Under CMIP6 Climate Scenarios: Integrated Modeling and Seasonal Flow Analysis A. Nurbatsina et al. https://doi.org/10.3390/atmos16091020
2104. Contrasting the Biophysical and Radiative Effects of Rising CO2 Concentrations on Ozone Dry Deposition Fluxes S. Silva et al. https://doi.org/10.1029/2022JD037668
2105. Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131241
2106. Regional climate simulation of tropical cyclone at gray-zone resolution over western North Pacific: with/without cumulus parameterization G. Bian et al. https://doi.org/10.1007/s00382-023-06740-8
2107. Human influence increases the likelihood of extremely early cherry tree flowering in Kyoto N. Christidis et al. https://doi.org/10.1088/1748-9326/ac6bb4
2108. Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. https://doi.org/10.1016/j.atmosres.2024.107324
2109. Emergence of changing Central-Pacific and Eastern-Pacific El Niño-Southern Oscillation in a warming climate T. Geng et al. https://doi.org/10.1038/s41467-022-33930-5
2110. Unraveling extreme high-temperature events in South Asia: insights from ensemble learning models and geophysical drivers S. Ghosh et al. https://doi.org/10.1007/s10584-025-03993-6
2111. A Pacific Tropical Decadal Variability Challenge for Climate Models Y. Zhao et al. https://doi.org/10.1029/2023GL104037
2112. Long-term trend of water vapor over the Tibetan Plateau in boreal summer under global warming J. Yu et al. https://doi.org/10.1007/s11430-021-9874-0
2113. Tropical basin interactions reduce spring predictability barrier of ENSO in a deep learning model L. Zhou & R. Zhang https://doi.org/10.1126/sciadv.aeb0901
2114. Seasonal and Regional Antarctic Sea Ice Biases: A Closer Look at CMIP6 S. Schroeter https://doi.org/10.1080/07055900.2025.2507880
2115. Volume and Heat Transport in the South China Sea and Maritime Continent at Present and the End of the 21st Century D. Samanta et al. https://doi.org/10.1029/2020JC016901
2116. Recent and projected changes in water scarcity and unprecedented drought events over Southern Pakistan I. Ullah et al. https://doi.org/10.3389/feart.2023.1113554
2117. Plant assemblages on extensive green roofs as a nature-based solution for energy efficiency in semi-arid urban climates F. Robbiati et al. https://doi.org/10.1007/s11252-025-01852-x
2118. Representation of the Mean Atlantic Subtropical Cells in CMIP6 Models Y. Fu et al. https://doi.org/10.1029/2021JC018191
2119. Flash energy droughts in solar and wind resources under climate change Y. Lin et al. https://doi.org/10.1038/s41558-026-02753-3
2120. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. https://doi.org/10.5194/acp-21-1211-2021
2121. Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels D. Amaripadath et al. https://doi.org/10.1016/j.enbuild.2023.112971
2122. Blocking Simulations in GFDL GCMs for CMIP5 and CMIP6 P. Liu et al. https://doi.org/10.1175/JCLI-D-21-0456.1
2123. Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts J. Youngblood et al. https://doi.org/10.1002/ecm.1550
2124. Improved Transformer Model With Meteorological Constraints Enhances Time Series Prediction of Evapotranspiration in Arid Regions Z. Pang et al. https://doi.org/10.1109/TGRS.2026.3652947
2125. New vigour involving statisticians to overcome ensemble fatigue R. Benestad et al. https://doi.org/10.1038/nclimate3393
2126. Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison H. Goelzer et al. https://doi.org/10.5194/tc-12-1433-2018
2127. The Turning Point of the Aerosol Era S. Bauer et al. https://doi.org/10.1029/2022MS003070
2128. A non-stationary climate-informed weather generator for assessing future flood risks V. Nguyen et al. https://doi.org/10.5194/ascmo-10-195-2024
2129. Combined Effects of Global Warming and Ozone Depletion/Recovery on Southern Hemisphere Atmospheric Circulation and Regional Precipitation J. Mindlin et al. https://doi.org/10.1029/2021GL092568
2130. The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments M. Kageyama et al. https://doi.org/10.5194/gmd-10-4035-2017
2131. Observed changes in wet days and dry spells over the IGAD region of eastern Africa P. Omay et al. https://doi.org/10.1038/s41598-023-44115-5
2132. Intraseasonal Air–Sea Interaction Over the Southeastern Indian Ocean and its Impact on Indian Summer Monsoon Z. Meng et al. https://doi.org/10.3389/fmars.2022.921585
2133. Representation of extreme El Niño events and associated atmospheric moisture flux divergence in the central-eastern tropical Pacific in a CMIP6 model ensemble J. Sanabria et al. https://doi.org/10.1016/j.wace.2025.100746
2134. 100 Years of Earth System Model Development D. Randall et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1
2135. Understanding the Central Equatorial African long-term drought using AMIP-type simulations W. Hua et al. https://doi.org/10.1007/s00382-017-3665-2
2136. Indian Ocean dynamic sea level, its variability and projections in CMIP6 models C. Sajidh & A. Chatterjee https://doi.org/10.1007/s00382-023-06676-z
2137. Historical global land surface air apparent temperature and its future changes based on CMIP6 projections J. Huang et al. https://doi.org/10.1016/j.scitotenv.2021.151656
2138. Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling H. Vereecken et al. https://doi.org/10.2136/vzj2018.10.0191
2139. Novel insights into hotspots of insect vectors of GLRaV-3: Dynamics and global distribution J. Wei et al. https://doi.org/10.1016/j.scitotenv.2024.171664
2140. Tropospheric cooling induces annual wet biases over China in CMIP6 models L. Wang et al. https://doi.org/10.1007/s00382-024-07410-z
2141. A shift in transitional forests of the North American boreal will persist through 2100 P. Montesano et al. https://doi.org/10.1038/s43247-024-01454-z
2142. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. https://doi.org/10.1007/s10584-022-03435-7
2143. Divergent trends in global vegetation sensitivity to soil moisture and atmospheric dryness M. Kong et al. https://doi.org/10.1016/j.jhydrol.2026.135721
2144. Projecting precipitation-driven vegetation changes on the Tibetan Plateau using in-situ station data Z. Zhao et al. https://doi.org/10.1016/j.gloplacha.2025.105018
2145. Climate Change and Pilgrimage to Shrines in Ethiopia P. Brimblecombe et al. https://doi.org/10.3390/heritage7010004
2146. Effects of climate change and deep fertilization on the growth and yield of winter wheat in the Loess Plateau of China C. Yang et al. https://doi.org/10.1002/jsfa.13798
2147. Monte Carlo drift correction – quantifying the drift uncertainty of global climate models B. Grandey et al. https://doi.org/10.5194/gmd-16-6593-2023
2148. Global and Zonal‐Mean Hydrological Response to Early Eocene Warmth M. Cramwinckel et al. https://doi.org/10.1029/2022PA004542
2149. Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science? S. Jain et al. https://doi.org/10.1029/2022AV000676
2150. Reconciling disagreement on global river flood changes in a warming climate S. Zhang et al. https://doi.org/10.1038/s41558-022-01539-7
2151. Constraining decadal climate predictions with seasonal forecasts: a step toward seamless multi-year climate information B. Solaraju-Murali et al. https://doi.org/10.1088/1748-9326/adfd73
2152. Historical Imprints and Future Shifts: Evolutionary Biogeography of Atlantic Reef Fishes Under Climate Change I. Cord et al. https://doi.org/10.1111/geb.70259
2153. Control of freshwater flows can counteract the effects of global climate change on salinity within urban estuaries P. Sahwell & H. Solo-Gabriele https://doi.org/10.1016/j.scitotenv.2025.180544
2154. Higher Sensitivity of Northern Hemisphere Monsoon to Anthropogenic Aerosol Than Greenhouse Gases J. Cao et al. https://doi.org/10.1029/2022GL100270
2155. Increased occurrences of early Indian Ocean Dipole under global warming S. Sun et al. https://doi.org/10.1126/sciadv.add6025
2156. Future Changes in Extreme High Temperature over China at 1.5°C–5°C Global Warming Based on CMIP6 Simulations G. Zhang et al. https://doi.org/10.1007/s00376-020-0182-8
2157. Temperature and Precipitation Extremes Under SSP Emission Scenarios with GISS-E2.1 Model L. Nazarenko et al. https://doi.org/10.3390/atmos16080920
2158. Sensitivity of tropical orographic precipitation to wind speed with implications for future projections Q. Nicolas & W. Boos https://doi.org/10.5194/wcd-6-231-2025
2159. The hazard components of representative key risks. The physical climate perspective C. Tebaldi et al. https://doi.org/10.1016/j.crm.2023.100516
2160. A generalizable framework for spatially explicit exploration of soil organic carbon sequestration on global marginal land A. Albers et al. https://doi.org/10.1038/s41598-022-14759-w
2161. Assessing agricultural drought risk under CMIP6 scenarios using hybrid AI models and satellite-derived TVDI M. Zare et al. https://doi.org/10.1038/s44304-026-00199-3
2162. Winter Orographic Precipitation and ENSO in Sapporo, Japan A. Yatagai & C. Kinoshita https://doi.org/10.3390/atmos13091413
2163. Fast upper-level jet stream winds get faster under climate change T. Shaw & O. Miyawaki https://doi.org/10.1038/s41558-023-01884-1
2164. Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia Y. Gan et al. https://doi.org/10.5194/acp-26-3881-2026
2165. Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. https://doi.org/10.1029/2023EF003531
2166. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
2167. Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake A. Virkkala et al. https://doi.org/10.1038/s41558-024-02234-5
2168. Evapotranspiration saturation amplifies climate sensitivity of terrestrial water yield E. Rotenberg et al. https://doi.org/10.1038/s41467-025-66570-6
2169. On deep learning-based bias correction and downscaling of multiple climate models simulations F. Wang & D. Tian https://doi.org/10.1007/s00382-022-06277-2
2170. Model uncertainty in synoptic circulation patterns and precipitation changes in Southern South America using CMIP5 and CMIP6 models M. Olmo et al. https://doi.org/10.1007/s10584-023-03647-5
2171. An overview of the E3SM version 2 large ensemble and comparison to other E3SM and CESM large ensembles J. Fasullo et al. https://doi.org/10.5194/esd-15-367-2024
2172. Analysis of forced response and internal climate variability in the INMCM Earth system model M. Buyanova et al. https://doi.org/10.1515/rnam-2025-0008
2173. Academic influence index evaluation report of geographic simulation models (2023) D. Liu et al. https://doi.org/10.1016/j.envsoft.2025.106737
2174. Emerging signals of climate change from the equator to the poles: new insights into a warming world M. Collins et al. https://doi.org/10.3389/fsci.2024.1340323
2175. The Whole Atmosphere Community Climate Model Version 6 (WACCM6) A. Gettelman et al. https://doi.org/10.1029/2019JD030943
2176. Steeper size spectra with decreasing phytoplankton biomass indicate strong trophic amplification and future fish declines A. Atkinson et al. https://doi.org/10.1038/s41467-023-44406-5
2177. CMIP6 Model Evaluation for Mean and Extreme Precipitation Over India P. Kushwaha et al. https://doi.org/10.1007/s00024-023-03409-5
2178. Stochastic Approach to the Evolution of the Global Water Cycle: Results of Historical Experiments on the CMIP-6 Models S. Dobrovolski et al. https://doi.org/10.1007/s00024-024-03567-0
2179. Projected Changes in Increased Drought Risks Over South Asia Under a Warmer Climate I. Ullah et al. https://doi.org/10.1029/2022EF002830
2180. Comparative Assessment and Future Prediction Using CMIP6 and CMIP5 for Annual Precipitation and Extreme Precipitation Simulation J. Li et al. https://doi.org/10.3389/feart.2021.687976
2181. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2022.158442
2182. Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios M. Niazkar et al. https://doi.org/10.1007/s00704-022-04274-3
2183. Climate-Driven Changes in Air Quality: Trends Across Emission and Socioeconomic Pathways A. Monteiro et al. https://doi.org/10.3390/su172310857
2184. Knowledge Gaps Update to the 2019 IPCC Special Report on the Ocean and Cryosphere: Prospects to Refine Coastal Flood Hazard Assessments and Adaptation Strategies With At-Risk Communities of Alaska D. Williams & L. Erikson https://doi.org/10.3389/fclim.2021.761439
2185. Intensification of drought propagation over the Yangtze River basin under climate warming F. Ma et al. https://doi.org/10.1002/joc.8165
2186. The fate of the Caspian Sea under projected climate change and water extraction during the 21st century S. Koriche et al. https://doi.org/10.1088/1748-9326/ac1af5
2187. Research challenges and opportunities for using big data in global change biology J. Xia et al. https://doi.org/10.1111/gcb.15317
2188. The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle A. Planchat et al. https://doi.org/10.5194/bg-20-1195-2023
2189. Emergent constraints on future extreme precipitation intensification: from global to continental scales S. Paik et al. https://doi.org/10.1016/j.wace.2023.100613
2190. Future variability in groundwater-surface water interactions: Implications for streamflow and its components using SWAT-MODFLOW 6 and CMIP 6 projections S. Lee et al. https://doi.org/10.1016/j.jhydrol.2025.134511
2191. Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks Z. Labe & E. Barnes https://doi.org/10.1029/2022GL098173
2192. Asymmetric Impacts of the Indian Ocean Dipole on Rainfall: Evidence from the Tropical Indian Ocean H. Werellapatha et al. https://doi.org/10.1007/s41748-026-01065-y
2193. GCM clouds and actual clouds as seen from different space lidars: towards a long-term assessment of cloud representation in GCMs using lidar simulators M. Roussel et al. https://doi.org/10.5194/acp-26-117-2026
2194. Development and testing scenarios for implementing land use and land cover changes during the Holocene in Earth system model experiments S. Harrison et al. https://doi.org/10.5194/gmd-13-805-2020
2195. Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea N. Huong et al. https://doi.org/10.2166/wcc.2023.021
2196. Impacts of climate change on water quality, benthic mussels, and suspended mussel culture in a shallow, eutrophic estuary M. Maar et al. https://doi.org/10.1016/j.heliyon.2024.e25218
2197. The GFDL‐CM4X Climate Model Hierarchy, Part II: Case Studies S. Griffies et al. https://doi.org/10.1029/2024MS004862
2198. Earth’s east–west albedo symmetry J. Zhang et al. https://doi.org/10.1038/s41586-026-10624-2
2199. Trend Projections of Potential Evapotranspiration in Yangtze River Delta and the Uncertainty L. Ding et al. https://doi.org/10.3390/atmos15030357
2200. Comparisons between UKESM CMIP6 Historical Simulations depending on two Atmospheric Chemistry Schemes: Part I. Global Scale Analysis D. Youn & H. Song https://doi.org/10.5467/JKESS.2025.46.1.19
2201. Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models S. Varghese et al. https://doi.org/10.1038/s41598-025-87949-x
2202. Identifying high-priority conservation areas in the Atlantic forest: a multicriteria approach using water striders S. Montemayor et al. https://doi.org/10.1007/s10531-025-03142-6
2203. Twenty-first century marine climate projections for the NW European shelf seas based on a perturbed parameter ensemble J. Tinker et al. https://doi.org/10.5194/os-20-835-2024
2204. Evaluation and projection of circulation conditions tied to summertime compound drought and heatwave frequency over the Yangtze River Delta, China, for the carbon neutrality period based on CMIP6 GCMs J. Wang et al. https://doi.org/10.1002/joc.8478
2205. Estimation of Watershed Hydrochemical Responses to Future Climate Changes Based on CMIP6 Scenarios in the Tianhe River (China) J. Sha et al. https://doi.org/10.3390/su131810102
2206. Future glacio-hydrological changes in the Andes: a focus on near-future projections up to 2050 A. Caro et al. https://doi.org/10.1038/s41598-025-88069-2
2207. Machine learning application in modelling marine and coastal phenomena: a critical review A. Pourzangbar et al. https://doi.org/10.3389/fenve.2023.1235557
2208. General circulation models for soil moisture simulation in global land areas: a complex network perspective A. Prabhakar & B. Sivakumar https://doi.org/10.1007/s00477-026-03201-6
2209. Observational Attribution-Constrained Projections of Area-Averaged Annual Mean Temperature Change over China H. Yin et al. https://doi.org/10.1007/s13351-026-5063-3
2210. Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1) Y. Liu et al. https://doi.org/10.5194/acp-21-8003-2021
2211. Philippine archipelago and South China Sea monsoon plus ocean cooling buffer Northwestern Pacific super typhoons T. Ma et al. https://doi.org/10.1038/s41467-025-62334-4
2212. Global exposure to flooding from the new CMIP6 climate model projections Y. Hirabayashi et al. https://doi.org/10.1038/s41598-021-83279-w
2213. Beetles, wind, and fire: Effects of climate change and close-to-nature forestry on disturbance predisposition and ecosystem service trade-offs S. Mutterer et al. https://doi.org/10.1016/j.foreco.2025.122690
2214. Climate-driven zooplankton shifts cause large-scale declines in food quality for fish R. Heneghan et al. https://doi.org/10.1038/s41558-023-01630-7
2215. A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. https://doi.org/10.1615/JMachLearnModelComput.2022046715
2216. Implications of CMIP6 GCM-Based Climate Variability for Photovoltaic Potential over Four Selected Urban Areas in Central and Southeast Europe During Summer (1971–2020) E. Kristóf & T. Kalmár https://doi.org/10.3390/urbansci10040204
2217. A Comparative Approach to Understand the Performance of CMIP6 Models for Maximum Temperature near Tropic of Cancer Using Multiple Machine Learning Ensembles G. Patel et al. https://doi.org/10.1007/s11269-025-04137-2
2218. The warming effect of black carbon must be reassessed in light of observational constraints G. Myhre et al. https://doi.org/10.1016/j.crsus.2025.100428
2219. Monsoon winds create an expressway for migratory shorebirds on the East Asia-Australasian Flyway H. Xiao et al. https://doi.org/10.1038/s43247-025-03049-8
2220. Future projections of heat extreme modulation by subseasonal oscillations over India as simulated by the CMIP6 models T. Zore et al. https://doi.org/10.1007/s11069-026-08264-w
2221. Historical trends and future changes in hydroclimate extremes using CMIP6 and SWAT + in the Awash Basin and Mojo catchment, Ethiopia D. Berhanu et al. https://doi.org/10.1007/s00704-026-06508-0
2222. Decreased cloud cover partially offsets the cooling effects of surface albedo change due to deforestation H. Luo et al. https://doi.org/10.1038/s41467-024-51783-y
2223. Timescales of the permafrost carbon cycle and legacy effects of temperature overshoot scenarios P. de Vrese & V. Brovkin https://doi.org/10.1038/s41467-021-23010-5
2224. Selection and downscaling of CMIP6 climate models in Northern Nigeria I. Wada et al. https://doi.org/10.1007/s00704-023-04534-w
2225. Robust changes to the wettest and driest days of the year are hidden within annual rainfall projections: a New Zealand case study L. Harrington et al. https://doi.org/10.1088/1748-9326/ad585a
2226. The influence of emissions scenarios on future Antarctic ice loss is unlikely to emerge this century D. Lowry et al. https://doi.org/10.1038/s43247-021-00289-2
2227. The Impact of Stratospheric Ozone Feedbacks on Climate Sensitivity Estimates P. Nowack et al. https://doi.org/10.1002/2017JD027943
2228. Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM Z. Xiong et al. https://doi.org/10.1080/17538947.2024.2372317
2229. Evaluating biogeophysical sensitivities to idealized deforestation in CMIP6 models using observational constraints N. Mileva et al. https://doi.org/10.5194/esd-16-2137-2025
2230. Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP) S. Fiedler et al. https://doi.org/10.1175/MWR-D-19-0404.1
2231. Low-elevation forest extent in the western United States constrained by soil surface temperatures Z. Holden et al. https://doi.org/10.1038/s41561-024-01577-0
2232. Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability J. Lee et al. https://doi.org/10.1007/s00382-018-4351-8
2233. Predicting the Distribution of Neoceratitis asiatica (Diptera: Tephritidae), a Primary Pest of Goji Berry in China, under Climate Change Z. Song et al. https://doi.org/10.3390/insects15080558
2234. Distribución potencial de Pinus cembroides Zucc. ante escenarios del Proyecto de Intercomparación de Modelos Acoplados en México J. Martínez-Sánchez et al. https://doi.org/10.29298/rmcf.v17i93.1594
2235. Human-caused ocean warming has intensified recent hurricanes D. Gilford et al. https://doi.org/10.1088/2752-5295/ad8d02
2236. Simulation of Gas Fracturing in Reservoirs Based on a Coupled Thermo-Hydro-Mechanical-Damage Model E. Qi et al. https://doi.org/10.3390/app14051763
2237. Tropospheric Ozone Assessment Report A. Archibald et al. https://doi.org/10.1525/elementa.2020.034
2238. Phenology metrics for ocean waters with application to future climate change in the Northwest Atlantic Ocean D. Brickman & N. Shackell https://doi.org/10.1525/elementa.2024.00001
2239. Anomalous Decline Patterns of Atlantic Meridional Overturning Circulation Driven by Arctic Oscillation M. Liu et al. https://doi.org/10.3390/jmse14131197
2240. Changes in Mean Annual Precipitation over the Brazilian and Nearby Regions from 1940 to 2099 Based on Weather Stations, Reanalyses, and the CMIP6 Model Ensemble I. Serykh et al. https://doi.org/10.3390/cli14090192
2241. Scenarios of Köppen-Trewartha climate types in Europe based on GCM-RCM combined projections E. Holtanová et al. https://doi.org/10.1007/s00704-025-05806-3
2242. High-resolution surface temperature changes for Portugal under CMIP6 future climate scenarios D. Carvalho https://doi.org/10.1038/s41598-024-67996-6
2243. Recent pronounced warming on the Mongolian Plateau boosted by internal climate variability Q. Cai et al. https://doi.org/10.1038/s41561-024-01377-6
2244. Distinct roles of climate change and variability in driving runoff generation capacity changes across China’s large reservoirs K. Wang et al. https://doi.org/10.1016/j.scib.2026.09.036
2245. Screening CMIP6 models for Chile based on past performance and code genealogy F. Gateño et al. https://doi.org/10.1007/s10584-024-03742-1
2246. Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble Y. Yang & T. Yue https://doi.org/10.3390/su16125007
2247. Near-term heatwave risk in HighResMIP models across different temperature zones of West Africa D. Danso et al. https://doi.org/10.1088/2752-5295/add31f
2248. Fractional change of scattering and absorbing aerosols contributes to Northern Hemisphere Hadley circulation expansion T. Ying et al. https://doi.org/10.1126/sciadv.adq9716
2249. The influence of anthropogenic climate change on wet and dry summers in Europe N. Christidis & P. Stott https://doi.org/10.1016/j.scib.2021.01.020
2250. Drought characteristics in the Middle East simulated by raw and bias-corrected CMIP6 models B. Ghazi et al. https://doi.org/10.1016/j.scitotenv.2025.180468
2251. Projections of suitable habitat loss and its implications in conservation for endemic non-pseudanthial Euphorbioideae (Euphorbiaceae) species in Northeastern Brazil under climate change scenarios T. Oliveira et al. https://doi.org/10.1007/s10531-026-03400-1
2252. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. https://doi.org/10.1029/2018MS001603
2253. Representation of the boreal summer tropical Atlantic–western North Pacific teleconnection in AGCMs: comparison of CMIP5 and CMIP6 J. Zuo et al. https://doi.org/10.1007/s00382-020-05427-8
2254. Southern hemisphere eastern boundary upwelling systems emerging as future marine heatwave hotspots under greenhouse warming S. Wang et al. https://doi.org/10.1038/s41467-022-35666-8
2255. High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method F. Rettie et al. https://doi.org/10.1038/s41597-023-02337-2
2256. Assessing the Future wind Energy Potential in Portugal Using a CMIP6 Model Ensemble and WRF High-Resolution Simulations A. Claro et al. https://doi.org/10.3390/en16020661
2257. Future changes in the precipitation regime over the Arabian Peninsula with special emphasis on UAE: insights from NEX-GDDP CMIP6 model simulations K. Rao et al. https://doi.org/10.1038/s41598-023-49910-8
2258. Integrated RUSLE-machine learning modeling for water erosion risk assessment under climate change in a Mediterranean semi-arid region: a comparison of LR, SVM, and RF models Y. Boussalim & Y. Dallahi https://doi.org/10.1007/s12517-026-12478-4
2259. Uncertainties in the Annual Cycle of Rainfall Characteristics over West Africa in CMIP5 Models M. Sow et al. https://doi.org/10.3390/atmos11020216
2260. Constraining the increased frequency of global precipitation extremes under warming C. Thackeray et al. https://doi.org/10.1038/s41558-022-01329-1
2261. Projecting the future of aquaculture in Egypt under climate and socio-economic scenarios M. Oyinlola et al. https://doi.org/10.1016/j.aquaculture.2026.743677
2262. Daily snowfall events on the Eurasian continent: CMIP6 models evaluation and projection W. Lin & H. Chen https://doi.org/10.1002/joc.7618
2263. Use of meteorological data in biosecurity A. MacLeod et al. https://doi.org/10.1042/ETLS20200078
2264. Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. https://doi.org/10.5194/gmd-17-6725-2024
2265. Data-driven seasonal climate predictions via variational inference and transformers L. Palma et al. https://doi.org/10.1038/s41612-026-01320-z
2266. Quantifying climate loss and damage consistent with a social cost of carbon M. Burke et al. https://doi.org/10.1038/s41586-026-10272-6
2267. WRF ensemble dynamical downscaling of precipitation over China using different cumulus convective schemes S. Gao et al. https://doi.org/10.1016/j.atmosres.2022.106116
2268. Global El Niño–Southern Oscillation Teleconnections in CMIP6 Models I. Serykh & D. Sonechkin https://doi.org/10.3390/atmos15040500
2269. 基于卫星遥感<bold>、</bold>大气再分析及气候模式数据的北半球春季积雪反照率反馈评估研究 辉. 郭 & 雨. 杨 https://doi.org/10.1360/N072021-0193
2270. The shift of decadal trend in Middle East dust activities attributed to North Tropical Atlantic variability G. Liu et al. https://doi.org/10.1016/j.scib.2023.05.031
2271. Assessment of characteristic changes of regional estimation of extreme rainfall under climate change: A case study in a tropical monsoon region with the climate projections from CMIP6 model S. Das et al. https://doi.org/10.1016/j.jhydrol.2022.128002
2272. Projected tropical cyclone genesis and seasonality changes in the Northern Hemisphere under a warming climate E. Widana Arachchige et al. https://doi.org/10.1038/s41612-025-01170-1
2273. Revisiting Interior Water Mass Responses to Surface Forcing Changes and the Subsequent Effects on Overturning in the Southern Ocean J. Tesdal et al. https://doi.org/10.1029/2022JC019105
2274. Potential Impact of Climate Change on Fish Reproductive Phenology: A Case Study in Gonochoric and Hermaphrodite Commercially Important Species from the Southern Gulf of Mexico T. Brulé et al. https://doi.org/10.3390/fishes7040156
2275. Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models F. Finazzi et al. https://doi.org/10.1002/env.2900
2276. Impact of ocean data assimilation on climate predictions with ICON-ESM H. Pohlmann et al. https://doi.org/10.1007/s00382-022-06558-w
2277. Decadal prediction of the probability of extreme seasons D. Befort & T. Kruschke https://doi.org/10.1088/1748-9326/adcc44
2278. Climate-driven shifts in suitable areas of Alternaria leaf blotch (Alternaria mali Roberts) on apples: Projections and uncertainty analysis in China B. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110464
2279. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. https://doi.org/10.1029/2021EF002511
2280. Deforestation Drives Desiccation in Global Monsoon Region Y. Liang et al. https://doi.org/10.1029/2022EF002863
2281. Improving the representation of anthropogenic CO2 emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) A. Navarro et al. https://doi.org/10.5194/esd-9-1045-2018
2282. Changes in universal thermal climate index from regional climate model projections over European beaches C. Nam et al. https://doi.org/10.1016/j.cliser.2024.100447
2283. East Antarctic cooling induced by decadal changes in Madden-Julian oscillation during austral summer P. Hsu et al. https://doi.org/10.1126/sciadv.abf9903
2284. A temporal stochastic bias correction using a machine learning attention model O. Nivron et al. https://doi.org/10.1017/eds.2024.42
2285. Enhanced interannual variability of the terrestrial carbon sink in China under high emissions H. Wu et al. https://doi.org/10.1088/1748-9326/ada814
2286. Surface air temperature variability over India in CMIP6 models during spring and early summer: after effect of El Niño S. Velivelli et al. https://doi.org/10.1007/s00382-025-07654-3
2287. Compiled records of carbon isotopes in atmospheric CO2 for historical simulations in CMIP6 H. Graven et al. https://doi.org/10.5194/gmd-10-4405-2017
2288. Conversion of the Knutson et al. (2020) Tropical Cyclone Climate Change Projections to Risk Model Baselines S. Jewson https://doi.org/10.1175/JAMC-D-21-0102.1
2289. Climate2Energy: a framework to consistently include climate change into energy system modeling J. Wohland et al. https://doi.org/10.1088/2753-3751/ae2870
2290. Microbial functional diversity and redundancy: moving forward P. Ramond et al. https://doi.org/10.1093/femsre/fuae031
2291. Future climate change will increase risk to mangrove health in Northern Australia C. Chung et al. https://doi.org/10.1038/s43247-023-00852-z
2292. LGM Paleoclimate Constraints Inform Cloud Parameterizations and Equilibrium Climate Sensitivity in CESM2 J. Zhu et al. https://doi.org/10.1029/2021MS002776
2293. Multivariate Spatio-Temporal Clustering of Wind–Wave Variability Across European Seas P. Maya et al. https://doi.org/10.3390/atmos17080776
2294. CMIP6 climate model spread outweighs glacier model spread in 21st-century drought buffering projections L. Ultee et al. https://doi.org/10.5194/tc-20-1339-2026
2295. Robust deep learning-based downscaling of mean and extreme precipitation over the Indian subcontinent M. Murukesh & P. Kumar https://doi.org/10.1088/2752-5295/ae6885
2296. Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies M. Bügelmayer-Blaschek et al. https://doi.org/10.1088/2515-7620/addc3f
2297. An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al. https://doi.org/10.1007/s00382-022-06369-z
2298. Structure of the Pacific Walker Circulation Depicted by the Reanalysis and CMIP6 E. Eresanya & Y. Guan https://doi.org/10.3390/atmos12091219
2299. Mechanisms shaping wind convergence under extreme synoptic situations over the Gulf Stream region V. Rousseau et al. https://doi.org/10.1175/JCLI-D-20-0719.1
2300. Contribution of large-scale atmospheric circulation and anthropogenic aerosols to recent summer warming over western Europe H. Douville et al. https://doi.org/10.1007/s00382-025-07689-6
2301. Assessing future precipitation patterns in the Brantas River Basin through downscaling of CMIP6 GCMs G. Herlambang & L. Jaelani https://doi.org/10.1088/1755-1315/1607/1/012036
2302. Changes in the distribution of annual maximum temperatures in Europe G. Auld et al. https://doi.org/10.5194/ascmo-9-45-2023
2303. Attributing and projecting record-shattering September tropical night events in East Asia G. Seo et al. https://doi.org/10.1016/j.wace.2026.100900
2304. Substantial increase in abrupt shifts between drought and flood events in China based on observations and model simulations Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.162822
2305. Response of stratospheric water vapour to warming constrained by satellite observations P. Nowack et al. https://doi.org/10.1038/s41561-023-01183-6
2306. Regional exposure to ageing nuclear infrastructure in Europe: Examining plume trajectories and dispersion for the 45-year old Almaraz Nuclear Power Plant under present and future climates A. Alves et al. https://doi.org/10.1016/j.jenvrad.2026.108166
2307. Challenges in identifying Antarctic coastal polynyas in satellite observations and climate model output to support ecological climate change research L. Landrum et al. https://doi.org/10.5194/tc-20-1815-2026
2308. Assessing Arctic wetting: Performances of CMIP6 models and projections of precipitation changes Z. Cai et al. https://doi.org/10.1016/j.atmosres.2023.107124
2309. Simulation of extreme precipitation changes in Central Asia using CMIP6 under different climate scenarios X. Huang et al. https://doi.org/10.1007/s00704-023-04802-9
2310. Temporal dynamics of climate change exposure and opportunities for global marine biodiversity A. Meyer et al. https://doi.org/10.1038/s41467-024-49736-6
2311. Climate change intensifies plant–pollinator mismatch and increases secondary extinction risk for plants in northern latitudes S. Peng et al. https://doi.org/10.1073/pnas.2506265122
2312. How is the relationship between rainfall and water vapor in the Indian monsoon influenced by changes in lapse rate during global warming? R. Mallesh & J. Srinivasan https://doi.org/10.1088/2515-7620/ad2c64
2313. FIO-ESM v2.0 Outputs for the CMIP6 Global Monsoons Model Intercomparison Project Experiments Y. Song et al. https://doi.org/10.1007/s00376-020-9288-2
2314. Analysis of Climate-Oriented Researches in Building K. Verichev et al. https://doi.org/10.3390/app11073251
2315. Machine-learning-based corrections of CMIP6 historical surface ozone in China during 1950–2014 Y. Tong et al. https://doi.org/10.1016/j.envpol.2024.124397
2316. A tangle of climate modes and the elusiveness of march precipitation variability over the southeastern US W. Li et al. https://doi.org/10.1088/2515-7620/adec46
2317. Analysis of 20th century surface air temperature using linear dynamical modes A. Gavrilov et al. https://doi.org/10.1063/5.0028246
2318. Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
2319. Future cropland and population exposures to extreme dry spells in global land monsoon regions S. Deng et al. https://doi.org/10.1016/j.ejrh.2025.102986
2320. High Resolution Future Projections of Drought Characteristics in Greece Based on SPI and SPEI Indices N. Politi et al. https://doi.org/10.3390/atmos13091468
2321. Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF‐RCM M. Andres‐Martin et al. https://doi.org/10.1111/nyas.15063
2322. Summertime changes in climate extremes over the peripheral Arctic regions after a sudden sea ice retreat S. Delhaye et al. https://doi.org/10.5194/wcd-3-555-2022
2323. The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy A. Dastoor et al. https://doi.org/10.5194/gmd-18-2747-2025
2324. The effect of uncertainties in natural forcing records on simulated temperature during the last millennium L. Lücke et al. https://doi.org/10.5194/cp-19-959-2023
2325. Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China M. Shiru et al. https://doi.org/10.1007/s00704-021-03823-6
2326. Conservation Challenges and Opportunities for Fokienia hodginsii in the Wuyi Mountains Under Climate Change and Human Influence D. Luo et al. https://doi.org/10.1002/ece3.72887
2327. Spatio-temporal variability of surface chlorophyll and pCO2 over the tropical Indian Ocean and its long-term trend using CMIP6 models S. Mohanty et al. https://doi.org/10.1016/j.scitotenv.2023.168285
2328. Regional climate imprints of recent historical changes in anthropogenic Near Term Climate Forcers A. Santos-Espeso et al. https://doi.org/10.5194/esd-16-2161-2025
2329. Climate‐change modelling at reduced floating‐point precision with stochastic rounding T. Kimpson et al. https://doi.org/10.1002/qj.4435
2330. Inevitable global coral reef decline under climate change-induced thermal stresses K. Zeng et al. https://doi.org/10.1038/s43247-025-02790-4
2331. Rainfall Variability Impacts on Runoff and Reservoir Inflow in a Small Mountainous Watershed: SWAT-Based Assessment in the Upper Ing River Basin, Northern Thailand K. Thanawong et al. https://doi.org/10.3390/w18172070
2332. Assessment of CMIP6 Model Performance for Wind Speed in China L. Zhao et al. https://doi.org/10.3389/fclim.2021.735988
2333. Divergent data-driven estimates of global soil respiration S. Hashimoto et al. https://doi.org/10.1038/s43247-023-01136-2
2334. Interannual variations in meltwater input to the Southern Ocean from Antarctic ice shelves S. Adusumilli et al. https://doi.org/10.1038/s41561-020-0616-z
2335. Disentangling the impact of Atlantic Niño on sea-air CO2 flux S. Koseki et al. https://doi.org/10.1038/s41467-023-38718-9
2336. Tropical Pacific teleconnection to Southwestern US precipitation in the historical observations and climate change projections R. Luna-Niño et al. https://doi.org/10.1007/s00382-026-08332-8
2337. Effect of horizontal resolution on the simulation of tropical cyclones in the Chinese Academy of Sciences FGOALS-f3 climate system model J. Li et al. https://doi.org/10.5194/gmd-14-6113-2021
2338. Seasonal prediction and simulation of the cold surges over the Korean Peninsula using a CGCM E. Kim et al. https://doi.org/10.1007/s00704-023-04731-7
2339. Evaluation of the CMIP6 Performance in Simulating Precipitation in the Amazon River Basin C. Monteverde et al. https://doi.org/10.3390/cli10080122
2340. Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression M. Bonas et al. https://doi.org/10.1002/env.2833
2341. Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases A. Anand et al. https://doi.org/10.1038/s41598-018-21865-1
2342. Multiyear dry periods in Southern Africa A. Hoell et al. https://doi.org/10.1002/joc.8026
2343. Cropland exposure to projected future changes in diurnal temperature range across Bangladesh M. Kamruzzaman et al. https://doi.org/10.1007/s00704-026-06084-3
2344. Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research Z. Song et al. https://doi.org/10.1038/s41597-020-0566-8
2345. Revisiting the Existence of the Global Warming Slowdown during the Early Twenty-First Century M. Wei et al. https://doi.org/10.1175/JCLI-D-21-0373.1
2346. Blue and green water availability under climate change in arid and semi-arid regions F. Ershadfath et al. https://doi.org/10.1016/j.ecoinf.2024.102743
2347. Evaluation and Projection of Global Burned Area Based on Global Climate Models and Satellite Fire Product X. Wang et al. https://doi.org/10.3390/rs16244751
2348. Spatial Distribution Characteristics of Suitable Planting Areas for Pyrus Species under Climate Change in China M. Wang et al. https://doi.org/10.3390/plants12071559
2349. A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area A. EL Bilali et al. https://doi.org/10.1016/j.compag.2025.110106
2350. Future drought patterns in Southwest China: A CMIP6-based analysis using multiple drought indices Y. Long et al. https://doi.org/10.1016/j.ejrh.2025.102702
2351. Land–atmosphere feedbacks weaken the risks of precipitation extremes over Australia in a warming climate M. Chang et al. https://doi.org/10.1016/j.accre.2024.08.005
2352. Mais qui vide l’Antarctique dans l’océan à la grande cuillère ? J. Caillet et al. https://doi.org/10.1051/climat/202523001
2353. Near-Surface Temperature Climate Change in the Caspian Region: A Study Using Meteorological Station Data, Reanalyses, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13100201
2354. ENSO contribution to the assessment of long-term cloud feedback on global warming H. Liu et al. https://doi.org/10.5194/acp-26-5589-2026
2355. Salinity Biases and the Variability of the Atlantic Meridional Overturning Circulation in GFDL-CM3 F. Matos et al. https://doi.org/10.1007/s12601-020-0040-8
2356. Influence of the North American dipole on the Atlantic warm pool J. Chao et al. https://doi.org/10.3389/feart.2023.1117030
2357. TREND ANALYSIS OF AIR TEMPERATURE AND ATMOSPHERIC PRECIPITATION IN UKRAINE BASED ON OBSERVATIONAL DATA AND CMIP6 CLIMATE PROJECTIONS V. Osadchyi et al. https://doi.org/10.15407/Meteorology2025.08.124
2358. Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests M. Sparey et al. https://doi.org/10.3390/atmos15060700
2359. Assessment of NA‐CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network S. SY et al. https://doi.org/10.1002/joc.8331
2360. Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation J. Doelman et al. https://doi.org/10.1016/j.gloenvcha.2017.11.014
2361. Future Land Precipitation Changes Over the North American Monsoon Region Using CMIP5 and CMIP6 Simulations M. Hernandez & L. Chen https://doi.org/10.1029/2021JD035911
2362. Robust changes in global subtropical circulation under greenhouse warming S. Zhou et al. https://doi.org/10.1038/s41467-023-44244-5
2363. A defense of usable climate mitigation science: how science can contribute to social movements H. Drake & G. Henderson https://doi.org/10.1007/s10584-022-03347-6
2364. Tropical eastern Pacific cooling trend reinforced by human activity E. Chung et al. https://doi.org/10.1038/s41612-024-00713-2
2365. Integrated strategies for water sustainability in the Yellow River Basin: Roles of water transfer, reclaimed water, and irrigation efficiency W. Zhang et al. https://doi.org/10.1016/j.agwat.2025.109694
2366. An overview of cloud–radiation denial experiments for the Energy Exascale Earth System Model version 1 B. Harrop et al. https://doi.org/10.5194/gmd-17-3111-2024
2367. Discrepancies in precipitation trends between observational and reanalysis datasets in the Amazon Basin A. Polasky et al. https://doi.org/10.1038/s41598-025-87418-5
2368. A dataset of surface evapotranspiration based on multi-model fusion in southwest China Q. ZHAO et al. https://doi.org/10.11922/11-6035.nesdc.2025.0229.zh
2369. Eastern and southern Asian gymnosperms are doomed to extinction under climate change C. Tang et al. https://doi.org/10.1038/s43247-026-03759-7
2370. Impacts of soil erosion and climate change on the built heritage of the Pambamarca Fortress Complex in northern Ecuador F. Santos et al. https://doi.org/10.1371/journal.pone.0281869
2371. Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions X. Tan et al. https://doi.org/10.1038/s41467-023-38510-9
2372. Nonlinear country-heterogenous impact of the Indian Ocean Dipole on global economies W. Cai et al. https://doi.org/10.1038/s41467-024-48509-5
2373. Inter-hemispheric differences in energy budgets and cross-equatorial transport anomalies during the 20th century V. Lembo et al. https://doi.org/10.1007/s00382-018-4572-x
2374. Changes in global DMS production driven by increased CO2 levels and its impact on radiative forcing J. Zhao et al. https://doi.org/10.1038/s41612-024-00563-y
2375. Land-atmosphere feedbacks and anthropogenic greenhouse gas forcing intensify subseasonal drought-to-pluvial abrupt transitions Y. Fu et al. https://doi.org/10.1038/s43247-026-03371-9
2376. Assessing South Indian Ocean tropical cyclone characteristics in HighResMIP simulations P. Pall et al. https://doi.org/10.1002/joc.8609
2377. Performance of Regional Climate Model Precipitation Simulations Over the Terrain‐Complex Andes‐Amazon Transition Region R. Gutierrez et al. https://doi.org/10.1029/2023JD038618
2378. Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis https://doi.org/10.3389/fenvs.2023.1289142
2379. Contrasting sensitivity of air temperature trends to surface soil temperature trends between climate models and reanalyses Y. Qiao et al. https://doi.org/10.1038/s41612-024-00588-3
2380. Impacts of 1.5 °C and 2 °C global warming on Eucalyptus plantations in South America F. Martins et al. https://doi.org/10.1016/j.scitotenv.2022.153820
2381. Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system P. Zelazowski et al. https://doi.org/10.5194/gmd-11-541-2018
2382. Non‐Radiative Effect of Land Use/Land Cover Differences on Land Surface Temperature Simulated by Noah‐MP Land Surface Model Over East Asia G. Zhang et al. https://doi.org/10.1029/2022JD037722
2383. The University of Toronto Climate Downscaling Workflow: Tools and Resources for Climate Change Impact Analysis M. Morris et al. https://doi.org/10.21105/jose.00243
2384. Ocean Carbon Cycle Feedbacks Under Negative Emissions J. Schwinger & J. Tjiputra https://doi.org/10.1029/2018GL077790
2385. Projection of Cloud Vertical Structure and Radiative Effects Along the South Asian Region in CMIP6 Models P. Khardekar et al. https://doi.org/10.3390/atmos16060746
2386. Climate Change Impacts on Suitable Habitats of the Endangered Parnassius imperator, an Alpine Butterfly Endemic to China K. Ma et al. https://doi.org/10.3390/insects17060635
2387. Biases Beyond the Mean in CMIP6 Extreme Precipitation: A Global Investigation H. Abdelmoaty et al. https://doi.org/10.1029/2021EF002196
2388. Substantial increase in daytime-nighttime compound heat waves and associated population exposure in China projected by the CMIP6 multimodel ensemble W. Xie et al. https://doi.org/10.1088/1748-9326/ac592d
2389. Projected shrinking of tropical vegetation biomass potential with future hydroclimatic shifts F. Meunier et al. https://doi.org/10.1088/1748-9326/ade81a
2390. Committed Antarctic Ice Sheet mass loss by the end of the twenty-first century Y. Lin et al. https://doi.org/10.1038/s41561-026-02102-1
2391. The European summer heatwave of 2019 – a regional storyline perspective T. Klimiuk et al. https://doi.org/10.5194/esd-16-239-2025
2392. Arctic warming from a high-latitude effusive volcanic eruption T. Zoëga et al. https://doi.org/10.1038/s41598-025-98811-5
2393. A regime view of future atmospheric circulation changes in northern mid-latitudes F. Fabiano et al. https://doi.org/10.5194/wcd-2-163-2021
2394. Climate-driven distribution shifts of Iranian amphibians and identification of refugia and hotspots for effective conservation S. Vaissi & A. Mohammadi https://doi.org/10.1038/s41598-024-79293-3
2395. The improvements of sea surface temperature simulation over China Offshore Sea in present climate from CMIP5 to CMIP6 models R. Deng et al. https://doi.org/10.1007/s00382-023-06843-2
2396. Potential effect of the marine carbon cycle on the multiple equilibria window of the Atlantic Meridional Overturning Circulation A. Boot et al. https://doi.org/10.5194/esd-15-1567-2024
2397. Insights From CMIP6 for Australia's Future Climate M. Grose et al. https://doi.org/10.1029/2019EF001469
2398. Compound successive dry-hot and wet extremes in China with global warming and urbanization K. He et al. https://doi.org/10.1016/j.jhydrol.2024.131332
2399. Weather extremes over Europe under 1.5 and 2.0 °C global warming from HAPPI regional climate ensemble simulations K. Sieck et al. https://doi.org/10.5194/esd-12-457-2021
2400. Tree-ring blue-intensity reconstruction of the April–September maximum temperature in the Greater Caucasus region of Georgia since 1780 CE Z. Bakhtiyorov et al. https://doi.org/10.1007/s00484-025-02930-7
2401. Response of Terrestrial Net Primary Production to Quadrupled CO2 Forcing: A Comparison between the CAS-ESM2 and CMIP6 Models J. Zhu et al. https://doi.org/10.3390/biology11121693
2402. Warm conveyor belt activity over the Pacific: modulation by the Madden–Julian Oscillation and impact on tropical–extratropical teleconnections J. Quinting et al. https://doi.org/10.5194/wcd-5-65-2024
2403. Arctic sea ice decline, increasing successive sudden stratospheric warmings and cold northern hemisphere continents J. Rao et al. https://doi.org/10.1038/s43247-026-03604-x
2404. Evaluating Arctic sea ice and snow thickness simulations: methodological insights from MOSAiC and CMIP6 data S. Trivedi et al. https://doi.org/10.3389/feart.2026.1744420
2405. Anthropogenic aerosol impacts on Pacific Coast precipitation in CMIP6 models R. Allen & X. Zhao https://doi.org/10.1088/2752-5295/ac7d68
2406. Do nurse plants enhance cactus survival under global warming? Experimental evidence from Coryphantha maiz-tablasensis, a threatened species F. Guerra-Coss et al. https://doi.org/10.1016/j.jaridenv.2025.105461
2407. Present day and future urban cooling enabled by integrated water management K. Nice et al. https://doi.org/10.3389/frsc.2024.1337449
2408. The Unusual Stratospheric Arctic Winter 2019/20: Chemical Ozone Loss From Satellite Observations and TOMCAT Chemical Transport Model M. Weber et al. https://doi.org/10.1029/2020JD034386
2409. Suitability Analysis of Rice Cropping Patterns in China Using the MaxEnt Model Y. Cai et al. https://doi.org/10.3390/agronomy16100961
2410. Future Changes in Temperature and Precipitation over Northeastern Brazil by CMIP6 Model L. Dantas et al. https://doi.org/10.3390/w14244118
2411. The Spring Heat Source Over the Qinghai–Tibetan Plateau Linked With the Winter Warm Arctic–Cold Siberia Pattern Impacting Summer Drought in China Y. Yang et al. https://doi.org/10.3389/feart.2022.835101
2412. Characterization of heatwave pattern and its long-run predictions using CMIP6 model in western and north-western climatic zones of Bangladesh R. Ahmad et al. https://doi.org/10.1007/s11356-025-36209-6
2413. Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds S. Dhomse et al. https://doi.org/10.5194/acp-20-13627-2020
2414. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. https://doi.org/10.1007/s00376-020-0151-2
2415. Scenario Dependence of Future Precipitation Changes across Japan in CMIP6 M. Hayashi et al. https://doi.org/10.2151/sola.2024-028
2416. Sources of uncertainty in Greenland surface mass balance in the 21st century K. Holube et al. https://doi.org/10.5194/tc-16-315-2022
2417. Aerosol characteristics in CMIP6 models' global simulations and their evaluation with the satellite measurements J. Bharath et al. https://doi.org/10.1002/joc.8324
2418. Global mean thermosteric sea level projections by 2100 in CMIP6 climate models S. Jevrejeva et al. https://doi.org/10.1088/1748-9326/abceea
2419. Future changes in the meteorological potential for winter haze over Beijing during periods of peak carbon emissions and carbon neutrality in China projected by Coupled Model Intercomparison Project Phase 6 models J. Wang et al. https://doi.org/10.1002/joc.7352
2420. Daily Variability of Climatic Projection Extremes Indices of Precipitation and Temperature in the Koliba-Corubal Watershed (Guinea and Guinea-Bissau) E. Cris & A. Cheikh https://doi.org/10.70322/hee.2026.10005
2421. The importance of stratocumulus clouds for projected warming patterns and circulation changes P. Breul et al. https://doi.org/10.5194/acp-25-11991-2025
2422. Projections of Australian low pressure systems in downscaled CMIP6 models A. Pepler et al. https://doi.org/10.1071/ES25025
2423. Contrasting responses to climate change – predicting bloom of major temperate fruit tree species in the Mediterranean region and Central Europe L. Caspersen et al. https://doi.org/10.1016/j.agrformet.2025.110859
2424. Exploring the aridity risk in agricultural lands of southwest Spain: the Extremadura region J. Lozano-Parra https://doi.org/10.1080/19475705.2025.2594094
2425. CAS-ESM2.0 Dataset for the Carbon Dioxide Removal Model Intercomparison Project (CDRMIP) J. Jin et al. https://doi.org/10.1007/s00376-023-3089-3
2426. Assessing hydropower generation potential in the Mekong River Basin under future climate scenarios S. Ly et al. https://doi.org/10.1007/s44367-026-00029-3
2427. A basin scale future projection of drought characteristics using bias-corrected CMIP6 (MIROC6) model ensemble U. Senapati et al. https://doi.org/10.1007/s12040-025-02632-z
2428. Emergence of Future Sea-Level Pressure Patterns in Recent Summertime East Asia T. OSE et al. https://doi.org/10.2151/jmsj.2024-012
2429. Mechanisms of Internal Atlantic Multidecadal Variability in HadGEM3-GC3.1 at Two Different Resolutions W. Lai et al. https://doi.org/10.1175/JCLI-D-21-0281.1
2430. Game analysis of future rice yield changes in China based on explainable machine-learning and planting date optimization Z. Zhang et al. https://doi.org/10.1016/j.fcr.2024.109557
2431. Plantation exhibits greater vulnerability to climate change than natural forests: Insights from deep learning T. Guo et al. https://doi.org/10.1016/j.foreco.2026.123930
2432. Modulation of weather type transitions on temperature and precipitation across the continental U.S. C. Ratterman et al. https://doi.org/10.1007/s00382-022-06626-1
2433. Assessing the climate impact of an improved volcanic sulfate aerosol representation in E3SM Z. Ke et al. https://doi.org/10.5194/gmd-18-4137-2025
2434. Recommendations for the formulation of grazing in marine biogeochemical and ecosystem models T. Rohr et al. https://doi.org/10.1016/j.pocean.2022.102878
2435. Average and extreme heatwaves in Europe at 0.5–2.0 °C global warming levels in CMIP6 model simulations K. Ruosteenoja & K. Jylhä https://doi.org/10.1007/s00382-023-06798-4
2436. Reproduction of Indian High Temperature Patterns: A CMIP6 Model Evaluation G. Dalal et al. https://doi.org/10.1002/joc.70391
2437. Combining meta-analysis and machine learning to assess global greenhouse CO2 enrichment for crop yields: Suitability and future climate resilience J. Sun et al. https://doi.org/10.1016/j.agsy.2026.104691
2438. Identifying robust bias adjustment methods for European extreme precipitation in a multi-model pseudo-reality setting T. Schmith et al. https://doi.org/10.5194/hess-25-273-2021
2439. Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments Y. Liang et al. https://doi.org/10.1016/j.accre.2025.02.008
2440. Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia S. Song et al. https://doi.org/10.1007/s00382-022-06465-0
2441. A sea ice free Arctic: CMIP7 Assessment Fast Track abrupt-127k experimental protocol and motivation L. Sime et al. https://doi.org/10.5194/gmd-19-5881-2026
2442. Moderate climate sensitivity due to opposing mixed-phase cloud feedbacks I. Tan et al. https://doi.org/10.1038/s41612-025-00948-7
2443. Overestimation of past and future increases in global river flow by Earth system models Y. Zhang et al. https://doi.org/10.1038/s41561-025-01897-9
2444. On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models M. Norgate et al. https://doi.org/10.1007/s00382-024-07389-7
2445. Spatial assessment of forest soil carbon and climate-related value inside and outside protected areas in China Y. Zhang et al. https://doi.org/10.1007/s10661-026-15630-5
2446. Detecting changes in hot extremes under bias-corrected SSP245 scenario over the Beijing-Tianjin-Hebei region of China D. Zhao et al. https://doi.org/10.1007/s00382-025-08040-9
2447. The other climate crisis T. Shaw & B. Stevens https://doi.org/10.1038/s41586-025-08680-1
2448. Climate change affects the potential distribution of a Neotropical freshwater migratory fish B. Souza et al. https://doi.org/10.1590/1982-0224-2025-0091
2449. An even drier future for the arid lands R. Allan & H. Douville https://doi.org/10.1073/pnas.2320840121
2450. The response of soil organic carbon content of grasslands in Northern Xinjiang to future climate change G. Wang et al. https://doi.org/10.1016/j.pce.2024.103576
2451. Sustainable land and irrigation management to limit loss of hydropower in the Andes-Amazon headwaters Z. Ding et al. https://doi.org/10.1038/s43247-024-01738-4
2452. Multiple Metrics Informed Projections of Future Precipitation in China L. Wang et al. https://doi.org/10.1029/2021GL093810
2453. Framework for an Ocean‐Connected Supermodel of the Earth System F. Counillon et al. https://doi.org/10.1029/2022MS003310
2454. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. https://doi.org/10.1029/2021JD035852
2455. A protocol for the intercomparison of marine fishery and ecosystem models: Fish-MIP v1.0 D. Tittensor et al. https://doi.org/10.5194/gmd-11-1421-2018
2456. Will China's Yellow River basin suffer more serious combined dry and wet abrupt alternation in the future? S. Jiang et al. https://doi.org/10.1016/j.jhydrol.2023.129871
2457. Higher atmospheric aridity-dominated drought stress contributes to aggravating dryland productivity loss under global warming X. Yu et al. https://doi.org/10.1016/j.wace.2024.100692
2458. Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. https://doi.org/10.5194/esd-12-1037-2021
2459. The impact of model resolution on the North Atlantic multidecadal response to anthropogenic sulphate aerosols W. Lai et al. https://doi.org/10.5194/acp-26-11255-2026
2460. Can CMIP6 models simulate the ozone valley over the Tibetan plateau in boreal summer? L. Shen et al. https://doi.org/10.1007/s00382-025-07796-4
2461. Inter‐comparison of historical simulation and future projections of rainfall and temperature by CMIP5 and CMIP6 GCMs over Egypt M. Hamed et al. https://doi.org/10.1002/joc.7468
2462. Dryland dominance in the slowdown of global vegetation carbon uptake F. Li et al. https://doi.org/10.1038/s41561-026-01957-8
2463. Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet C. Kittel et al. https://doi.org/10.5194/tc-15-1215-2021
2464. Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel Ensemble M. Roberts et al. https://doi.org/10.1175/JCLI-D-19-0639.1
2465. Variability in the global energy budget and transports 1985–2017 C. Liu et al. https://doi.org/10.1007/s00382-020-05451-8
2466. The weakening AMOC under extreme climate change G. Madan et al. https://doi.org/10.1007/s00382-023-06957-7
2467. Simulated response of the active layer thickness of permafrost to climate change R. Li et al. https://doi.org/10.1016/j.aosl.2020.100007
2468. Impact of coupled climate change and human exploitation on groundwater dynamics in agricultural intensive planting areas J. Li et al. https://doi.org/10.1016/j.gsd.2025.101575
2469. The attribution of human health outcomes to climate change: transdisciplinary practical guidance K. Ebi et al. https://doi.org/10.1007/s10584-025-03976-7
2470. Atmospheric Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science P. Blanken et al. https://doi.org/10.1029/2021EA002204
2471. Spectators or participants: How can SETAC become more engaged in international climate change research programs? R. Stahl et al. https://doi.org/10.1002/etc.3868
2472. Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks M. Li et al. https://doi.org/10.3390/rs16193723
2473. Impact of ocean data assimilation on the sub‐polar North Atlantic in MPI‐ESM S. Brune & V. Koul https://doi.org/10.1002/qj.4922
2474. Urban water affordability crisis exacerbated by climate change J. Skerker et al. https://doi.org/10.1038/s41893-026-01890-z
2475. Three Ways Forward to Improve Regional Information for Extreme Events: An Early Career Perspective G. Langendijk et al. https://doi.org/10.3389/fenvs.2019.00006
2476. Multi-decadal variation of ENSO forecast skill since the late 1800s J. Lou et al. https://doi.org/10.1038/s41612-023-00417-z
2477. Stomatal conductance dominates land surface hydrological responses to rising CO2 concentrations in the Yellow River Basin J. Luan et al. https://doi.org/10.1016/j.jhydrol.2026.136469
2478. Developing Representative Impact Scenarios From Climate Projection Ensembles, With Application to UKCP18 and EURO‐CORDEX Precipitation S. Jewson et al. https://doi.org/10.1029/2022MS003038
2479. Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6 S. Sobie et al. https://doi.org/10.1080/07055900.2021.2011103
2480. Multi-model fusion method for reconstructing the dry-wet time series of daily precipitation and its application D. Pengxin et al. https://doi.org/10.1016/j.uclim.2025.102594
2481. Processes Responsible for the Southern Hemisphere Ocean Heat Uptake and Redistribution under Anthropogenic Warming K. Lyu et al. https://doi.org/10.1175/JCLI-D-19-0478.1
2482. Unveiling the role of tropical Pacific on the emergence of ice-free Arctic projections S. Jahfer et al. https://doi.org/10.1088/1748-9326/ad3141
2483. Constraining CMIP6 simulations for Atlantic Water in the Arctic using an AMOC-SST index M. Devilliers et al. https://doi.org/10.3389/fclim.2025.1550772
2484. Hydrometeorological Conditions of the Volga Flow Generation into the Caspian Sea during the Last Glacial Maximum A. Kalugin & P. Morozova https://doi.org/10.3390/cli11020036
2485. State-of-the-art climate models reduce dominant dynamical uncertainty in projections of extreme precipitation N. Ritzhaupt & D. Maraun https://doi.org/10.1088/2752-5295/ad2eb2
2486. Small Impact of Stratospheric Dynamics and Chemistry on the Surface Temperature of the Last Glacial Maximum in CESM2(WACCM6ma) J. Zhu et al. https://doi.org/10.1029/2022GL099875
2487. Post-processing climate projections of precipitation for the Po river basin: will Italy's North become water-constrained? O. Boyko et al. https://doi.org/10.2166/nh.2022.063
2488. System dynamics simulation and scenario optimization of China's water footprint under different SSP-RCP scenarios Q. Jiang et al. https://doi.org/10.1016/j.jhydrol.2023.129671
2489. Understanding Monsoonal Water Cycle Changes in a Warmer Climate in E3SMv1 Using a Normalized Gross Moist Stability Framework B. Harrop et al. https://doi.org/10.1029/2019JD031443
2490. MIROC6 Large Ensemble (MIROC6-LE): experimental design and initial analyses H. Shiogama et al. https://doi.org/10.5194/esd-14-1107-2023
2491. Present and future aerosol impacts on Arctic climate change in the GISS-E2.1 Earth system model U. Im et al. https://doi.org/10.5194/acp-21-10413-2021
2492. The East Asian Winter Monsoon and its Relationship with El Niño–Southern Oscillation: Present and Future W. GUO et al. https://doi.org/10.3724/j.1006-8775.2025.020
2493. Vertical Structure of the QBO in Observations and CMIP6 Models: Influence on Eastern China Winter Temperature X. Xu et al. https://doi.org/10.1007/s00376-025-4260-9
2494. Near-surface wind speed over the Tibetan Plateau: evaluation, trend and projection Q. You et al. https://doi.org/10.1007/s00382-026-08342-6
2495. SST‐driven variability of the East Asian summer jet on a decadal time‐scale in CMIP6 models M. Patterson et al. https://doi.org/10.1002/qj.4219
2496. Inter‐Model Spread of North Tropical Atlantic Trans‐Basin Effect Substantially Biases Tropical Pacific Sea Surface Temperature Multiyear Prediction J. Yang et al. https://doi.org/10.1029/2022GL098620
2497. Compound and successive events of extreme precipitation and extreme runoff under heatwaves based on CMIP6 models P. Sun et al. https://doi.org/10.1016/j.scitotenv.2023.162980
2498. Projected evolution of droughts and human exposure in the contiguous United States under SSP5-8.5: a regional downscaling perspective L. Zhang et al. https://doi.org/10.1088/1748-9326/adf4f9
2499. Global economic impact of weather variability on the rich and the poor L. Quante et al. https://doi.org/10.1038/s41893-024-01430-7
2500. Aerosol impacts on the East Asian winter monsoon: Insights from TaiESM1 and CMIP6 simulations I. Tsai et al. https://doi.org/10.1002/joc.8483
2501. Understanding Differences in North Atlantic Poleward Ocean Heat Transport and Its Variability in Global Climate Models E. Madonna & A. Sandø https://doi.org/10.1029/2021GL096683
2502. An analytical framework reduces cloud feedback uncertainty by linking percentage cloud change to surface ocean warming patterns J. Ma et al. https://doi.org/10.1038/s41612-026-01339-2
2503. Evaluation of the CAS-ESM2-0 Performance in Simulating the Global Ocean Salinity Change G. Li et al. https://doi.org/10.3390/atmos14010107
2504. Global Historical Reanalysis with a 60-km AGCM and Surface Pressure Observations: OCADA M. ISHII et al. https://doi.org/10.2151/jmsj.2024-010
2505. Historical and future changes of surface ozone over China from CMIP6 models, including an assessment of present-day uncertainties in model prediction S. Li et al. https://doi.org/10.5194/acp-26-3669-2026
2506. Human Influence on the Increasing Drought Risk Over Southeast Asian Monsoon Region L. Zhang et al. https://doi.org/10.1029/2021GL093777
2507. Arctic Troposphere Warming Driven by External Radiative Forcing and Modulated by the Pacific and Atlantic L. Suo et al. https://doi.org/10.1029/2022JD036679
2508. The Dependence of Mean Climate State on Shortwave Absorption by Water Vapor H. Kim et al. https://doi.org/10.1175/JCLI-D-21-0417.1
2509. Lessened projections of Arctic warming and wetting after correcting for model errors in global warming and sea ice cover Z. Cai et al. https://doi.org/10.1126/sciadv.adr6413
2510. Recent Eurasian winter cooling partly caused by internal multidecadal variability amplified by Arctic sea ice-air interactions A. Dai & J. Deng https://doi.org/10.1007/s00382-021-06095-y
2511. An unsupervised learning approach to identifying blocking events: the case of European summer C. Thomas et al. https://doi.org/10.5194/wcd-2-581-2021
2512. Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6 Y. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.130497
2513. Doubling of the population exposed to drought over South Asia: CMIP6 multi-model-based analysis S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2021.145186
2514. Assessment of Spatio-Temporal Trends in Rainfall Indices in Senegal: Validation of CMIP6 Models over the Historical Period and Projections Under Future Climate Scenarios I. Diouf et al. https://doi.org/10.3390/cli13120247
2515. Water-saving irrigated area expansion hardly enhances crop yield while saving water under climate scenarios in China Z. Yue et al. https://doi.org/10.1038/s43247-025-02279-0
2516. An appraisal of seasonal precipitation dynamics over the North‐West Himalayan region under future warming scenarios D. Banerjee & C. Singh https://doi.org/10.1002/joc.7368
2517. The Tropical Basin Interaction Model Intercomparison Project (TBIMIP) I. Richter et al. https://doi.org/10.5194/gmd-18-2587-2025
2518. Skilful seasonal streamflow forecasting using a fully coupled global climate model G. Narváez-Campo & C. Ardilouze https://doi.org/10.5194/hess-29-4739-2025
2519. Climate change impact on photovoltaic power potential in South America G. Narvaez et al. https://doi.org/10.1088/2515-7620/acf02e
2520. Assessment of climate change impacts on glacio-hydrological processes and their variations within critical zone M. Shafeeque et al. https://doi.org/10.1007/s11069-022-05661-9
2521. Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. https://doi.org/10.1029/2020EA001520
2522. Using Optimization to Investigate the Adaptive Operation of Reservoirs under the Context of Climate Crisis N. Hang et al. https://doi.org/10.1021/acsestwater.4c00389
2523. Future projections of hurricane intensity in the southeastern U.S.: sensitivity to different Pseudo-Global Warming methods P. Olschewski & H. Kunstmann https://doi.org/10.3389/fclim.2024.1353396
2524. The Impact of Climate Change on Evapotranspiration and Flow in a Major Basin in Northern Mexico A. Martínez-Sifuentes et al. https://doi.org/10.3390/su15010847
2525. Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100 S. Jian et al. https://doi.org/10.3389/ffgc.2023.1157285
2526. Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments R. Prestele et al. https://doi.org/10.5194/esd-8-369-2017
2527. Emergence of Antarctic mineral resources in a warming world E. Lucas et al. https://doi.org/10.1038/s41558-026-02569-1
2528. Intensified dominance of El Niño-like convection relevant for global atmospheric circulation variations F. Cai et al. https://doi.org/10.1038/s41612-025-01140-7
2529. Emergent Constrained Projections of Mean and Extreme Warming in China Z. Chen et al. https://doi.org/10.1029/2022GL102124
2530. Decadal prediction of terrestrial water storage and sea-level change using physics-informed neural networks M. Kiani Shahvandi https://doi.org/10.1016/j.geog.2026.07.002
2531. Spatiotemporal self-supervised predictive learning for atmospheric variable prediction via multi-group multi-attention Z. Shi et al. https://doi.org/10.1016/j.knosys.2024.112090
2532. Quantifying future rainfall extremes in Türkiye: a CMIP6 ensemble approach with statistical downscaling T. Tugrul et al. https://doi.org/10.1007/s11600-025-01551-3
2533. LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome B. van den Hurk et al. https://doi.org/10.5194/gmd-9-2809-2016
2534. Sustainable and cost-effective vegetation restoration framework under climate change Q. Han et al. https://doi.org/10.1016/j.foreco.2021.119436
2535. Climate Change and Thermal Dynamics of the Lake Sevan Basin (Armenia): Observational Insights and Future Projections G. Khachatryan et al. https://doi.org/10.3390/w18030352
2536. Biogeodynamics-Ice sheet-Geneva-MITgcm (BIG-MITgcm, v1.0): a simulation tool for exploring climate states with a representation of global ice sheets L. Moinat et al. https://doi.org/10.5194/gmd-19-4357-2026
2537. The Future Potential Distribution and Sustainable Management of Ancient Pu’er Tea Trees (Camellia sinensis var. assamica (J. W. Mast.) Kitam.) S. Zhang et al. https://doi.org/10.3390/f13070983
2538. Modeling the Late Pliocene with AWI-CM3 as a contribution to PlioMIP3 core experiments F. Matos et al. https://doi.org/10.1016/j.gloplacha.2025.105196
2539. Energy budget-based backscatter in a shallow water model of a double gyre basin M. Klöwer et al. https://doi.org/10.1016/j.ocemod.2018.09.006
2540. The Northwestern Pacific Warming Record in August 2020 Occurred Under Anthropogenic Forcing M. Hayashi et al. https://doi.org/10.1029/2020GL090956
2541. The Indian Ocean Dipole in a warming world G. Wang et al. https://doi.org/10.1038/s43017-024-00573-7
2542. A semi-automated sensitivity-based approach for simplifying marine biogeochemical models for targeted applications: A case study with the Eco3M-MED model Y. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2026.111491
2543. Dynamic internal variability dominates uncertainty in modeling future extreme precipitation M. Sothearith et al. https://doi.org/10.1038/s41612-025-01318-z
2544. Reversed impacts of the Arctic oscillation on the precipitation over the South China Sea and its surrounding areas in October and November T. Dong et al. https://doi.org/10.1007/s00382-020-05461-6
2545. Local meridional circulation changes contribute to a projected slowdown of the Indian Ocean Walker circulation S. Sharma et al. https://doi.org/10.1038/s41612-022-00242-w
2546. A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: sea ice data compilation and model differences M. Kageyama et al. https://doi.org/10.5194/cp-17-37-2021
2547. Arctic warming-induced cold damage to East Asian terrestrial ecosystems J. Kim et al. https://doi.org/10.1038/s43247-022-00343-7
2548. Response of the Intertropical Convergence Zone to Climate Change: Location, Width, and Strength M. Byrne et al. https://doi.org/10.1007/s40641-018-0110-5
2549. Hydrological cycle changes under global warming and their effects on multiscale climate variability J. Ma et al. https://doi.org/10.1111/nyas.14335
2550. Most South American cloud forests are likely to disappear under high-end climate change P. Vieira Pompeu et al. https://doi.org/10.1016/j.jnc.2025.127192
2551. Divergent, plausible, and relevant climate futures for near- and long-term resource planning D. Lawrence et al. https://doi.org/10.1007/s10584-021-03169-y
2552. On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice C. Giesse et al. https://doi.org/10.1029/2020GL091784
2553. Strengthening local resilience to global climate change through an innovative integration of coastal vulnerability and SWOT analyses D. Handiani et al. https://doi.org/10.1016/j.geogeo.2026.100546
2554. Climate models with moderate climate sensitivity best simulate the magnitude of Earth's energy imbalance K. Bimpiri et al. https://doi.org/10.5194/esd-17-877-2026
2555. The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-10-1487-2017
2556. Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System S. Liu et al. https://doi.org/10.1029/2020JD033005
2557. Optimization of water and nitrogen measures for maize-soybean intercropping under climate change conditions based on the APSIM model in the Guanzhong plain, China Z. Zhao et al. https://doi.org/10.1016/j.agsy.2024.104236
2558. Multi-hazard environmental risk assessment for electricity substations: integrating climate projections with atmospheric corrosion modelling* C. Bérard https://doi.org/10.1088/2753-3751/ae87a5
2559. Different uncertainty in tropical oceanic and land precipitation sensitivities under global warming J. Zhang & P. Huang https://doi.org/10.1016/j.atmosres.2023.106850
2560. Future Changes in Precipitation Extremes over East Africa Based on CMIP6 Models B. Ayugi et al. https://doi.org/10.3390/w13172358
2561. Still weighting to break the model democracy M. Collins https://doi.org/10.1002/2017GL073370
2562. Investigation of the impact of climate change on hydrological responses using the CMIP6 model for Upper Omo Gibe Basin, Ethiopia E. Tafese Mekuria et al. https://doi.org/10.1088/2515-7620/ae3465
2563. Projection of Heating and Cooling Degree Days in Ankara Under Climate Change Using ERA5-Land and Bias-Corrected CMIP6 Models: A Multi-Threshold Approach S. Oruç et al. https://doi.org/10.3390/buildings16163183
2564. The Atlantic Meridional Mode and Associated Wind–SST Relationship in the CMIP6 Models F. Xia et al. https://doi.org/10.3390/atmos14020359
2565. Changes in annual river flow in the Volga–Kama and Angara–Yenisei reservoir basins under contemporary and scenario global warming A. Georgiadi et al. https://doi.org/10.24057/2071-9388-2026-4228
2566. The evolution of heat exposure in changing societies and a changing climate from 1960 to 2100 A. Schäfer et al. https://doi.org/10.3389/fclim.2025.1491695
2567. Climate variability over South America‐regional and large scale features simulated by the Brazilian Atmospheric Model (BAM‐v0) I. Cavalcanti et al. https://doi.org/10.1002/joc.6370
2568. Stochastic effects on plankton dynamics: Insights from a realistic 0-dimensional marine biogeochemical model G. Occhipinti et al. https://doi.org/10.1016/j.ecoinf.2024.102778
2569. Changes in human-perceived temperature extremes and associated population exposure across China X. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107896
2570. A warming-drying climate hits Yunnan, Southwest China, during the past half century Z. Dong et al. https://doi.org/10.1007/s00382-025-07806-5
2571. Analysis of haddock distribution in the Barents sea using species distribution modeling (SDM) S. Bakanev & A. Russkikh https://doi.org/10.36038/0234-2774-2025-26-3-51-64
2572. Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model R. Russotto et al. https://doi.org/10.1029/2021MS002601
2573. A Performance Evaluation of Potential Intensity over the Tropical Cyclone Passage to South Korea Simulated by CMIP5 and CMIP6 Models D. Park et al. https://doi.org/10.3390/atmos12091214
2574. Contrasting Fate of Western Third Pole's Water Resources Under 21st Century Climate Change F. Su et al. https://doi.org/10.1029/2022EF002776
2575. Heat wave time of emergence patterns: a matter of definition C. Padalino et al. https://doi.org/10.1088/2515-7620/ad45c2
2576. Assessment of blue water-green water interchange under extreme warm and dry events across different ecohydrological regions of western Canada P. Khalili et al. https://doi.org/10.1016/j.jhydrol.2023.130105
2577. Climatology, trends, and future projections of aerosol optical depth over the Middle East and North Africa region in CMIP6 models R. Kunchala et al. https://doi.org/10.3389/fclim.2024.1384202
2578. Impacts of forced and internal climate variability on changes in convective environments over the eastern United States M. Franke et al. https://doi.org/10.3389/fclim.2024.1385527
2579. Shifts in MJO behavior enhance predictability of subseasonal precipitation whiplashes T. Cheng et al. https://doi.org/10.1038/s41467-025-58955-4
2580. Towards data-driven energy communities: A review of open-source datasets, models and tools H. Kazmi et al. https://doi.org/10.1016/j.rser.2021.111290
2581. Sea Ice Edge Constraint Improves Antarctic Sea Ice Seasonal Prediction in Deep Learning Models H. Wang et al. https://doi.org/10.1007/s00376-025-5024-2
2582. Evaluating downscaled products with expected hydroclimatic co-variances S. Baek et al. https://doi.org/10.5194/gmd-17-8665-2024
2583. Changes in the Suitable Habitat of the Smoke Tree (Cotinus coggygria Scop.), a Species with an East Asian–Tethyan Disjunction Z. Zhang et al. https://doi.org/10.3390/plants14040547
2584. How extreme could the near term evolution of the Indian Summer Monsoon rainfall be? S. Jain & A. Scaife https://doi.org/10.1088/1748-9326/ac4655
2585. Strong contribution from sensible heat to global precipitation increase in climate models is not supported by observational based data G. Myhre et al. https://doi.org/10.3389/fclim.2024.1383337
2586. Relative sea level projections constrained by historical trends at tide gauge sites M. Perrette & M. Mengel https://doi.org/10.1126/sciadv.ado4506
2587. Drought forecasting across multiple temporal scales using CMIP6 projections and hybrid deep learning models for Central Anatolia, Türkiye H. Citakoglu et al. https://doi.org/10.1016/j.atmosres.2026.109271
2588. Ice Shelf Basal Melt Rates in the Amundsen Sea at the End of the 21st Century N. Jourdain et al. https://doi.org/10.1029/2022GL100629
2589. Attribution of extremes to greenhouse gas-induced changes in regional climate variability, distinct from changes in mean climate A. Barkhordarian https://doi.org/10.1088/1748-9326/ad715a
2590. Seamless Integration of the Coastal Ocean in Global Marine Carbon Cycle Modeling M. Mathis et al. https://doi.org/10.1029/2021MS002789
2591. Exploring the nonstationarity of coastal sea level probability distributions F. Falasca et al. https://doi.org/10.1017/eds.2023.10
2592. A multi-method framework for global real-time climate attribution D. Gilford et al. https://doi.org/10.5194/ascmo-8-135-2022
2593. Egypt's water future: AI predicts evapotranspiration shifts across climate zones A. Mokhtar et al. https://doi.org/10.1016/j.ejrh.2024.101968
2594. Recent decrease of the impact of tropical temperature on the carbon cycle linked to increased precipitation W. Zhang et al. https://doi.org/10.1038/s41467-023-36727-2
2595. CMIP6 multi-model ensemble projections of Boro rice irrigation requirements and scheduling under climate change in North-Western Bangladesh M. Islam et al. https://doi.org/10.1016/j.rineng.2026.111968
2596. Dynamics of intensification of extreme precipitation events over the Arabian Peninsula derived from CMIP6 simulations R. Pathak et al. https://doi.org/10.1038/s41612-025-01016-w
2597. Anthropogenic influence on extreme temperatures in China based on CMIP6 models T. Hu & Y. Sun https://doi.org/10.1002/joc.7402
2598. Agro-climatic zone based hydrometeorological drought analysis and projection in Wabi Shebele river basin, Ethiopia G. Ayala Tarafa et al. https://doi.org/10.1007/s43621-026-03263-0
2599. Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models S. Tai et al. https://doi.org/10.1029/2021MS002586
2600. AMOC weakening modulates global warming impacts on precipitation over Brazil I. Vilela et al. https://doi.org/10.1038/s41612-025-01248-w
2601. Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections B. Ferrero et al. https://doi.org/10.1007/s00376-020-0178-4
2602. Competing and accelerating effects of anthropogenic nutrient inputs on climate-driven changes in ocean carbon and oxygen cycles A. Yamamoto et al. https://doi.org/10.1126/sciadv.abl9207
2603. Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks J. Rader et al. https://doi.org/10.1029/2021MS002941
2604. LRFD methodology for river embankments against non-stationary flooding under climate change A. Alhamid et al. https://doi.org/10.1016/j.strusafe.2024.102477
2605. Community Integrated Earth System Model (CIESM): Description and Evaluation Y. Lin et al. https://doi.org/10.1029/2019MS002036
2606. Improving marine heatwave simulations through realistic Kuroshio representation in a high-resolution dynamical downscaling ensemble S. Oh et al. https://doi.org/10.1016/j.wace.2025.100823
2607. Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. https://doi.org/10.5194/gmd-13-2149-2020
2608. Projections of changes in ecosystem productivity under 1.5 °C and 2 °C global warming C. Tian et al. https://doi.org/10.1016/j.gloplacha.2021.103588
2609. A framework for reconstructing marine heatwaves from individual foraminifera in sedimentary archives C. Saenger et al. https://doi.org/10.3389/fmars.2024.1321254
2610. Assessing Future Integrated Climate Pressure and Dominant-Driver Transitions in the Yellow River Diversion Receiving Area of Henan Province Under CMIP6 Scenarios X. Zhang et al. https://doi.org/10.3390/su18157678
2611. Framing the Use of Climate Model Projections in Infrastructure Engineering: Practices, Uncertainties, and Recommendations Y. Lai et al. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000685
2612. The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates J. Visser et al. https://doi.org/10.1029/2022WR032247
2613. Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts M. Zachariah et al. https://doi.org/10.1088/2752-5295/acf4b6
2614. Revealing historical observations and future projections of precipitation over Northwest China based on dynamic downscaled CMIP6 simulations X. Yang et al. https://doi.org/10.3389/feart.2022.1090221
2615. Impact of wind speed and soil frost on electricity distribution system reliability J. Haakana et al. https://doi.org/10.1016/j.heliyon.2024.e40846
2616. Assessment of suitable cultivation region for Panax notoginseng under different climatic conditions using MaxEnt model and high-performance liquid chromatography in China P. Zhan et al. https://doi.org/10.1016/j.indcrop.2021.114416
2617. A review of climate-related disasters impact on global shipping carbon emissions G. Huang et al. https://doi.org/10.1016/j.trd.2024.104553
2618. Impact of drought on global food security by 2050 V. Kraklow et al. https://doi.org/10.1038/s41467-025-67862-7
2619. Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution J. Duan et al. https://doi.org/10.1038/s41467-025-56005-7
2620. Climate Change and Dispersal Ability Jointly Affects the Future Distribution of Crocodile Lizards X. Zhang et al. https://doi.org/10.3390/ani12202731
2621. Ensembles of climate simulations to anticipate worst case heatwaves during the Paris 2024 Olympics P. Yiou et al. https://doi.org/10.1038/s41612-023-00500-5
2622. Assessing combinations of regional MCB designed to target multiple climate response objectives A. Mason et al. https://doi.org/10.5194/acp-26-10861-2026
2623. Forecast skill of Indian summer monsoon rainfall decadal climate predictions S. Dwivedi et al. https://doi.org/10.1007/s00704-026-06528-w
2624. Tropical cyclone risk for global ecosystems in a changing climate C. Kropf et al. https://doi.org/10.1038/s41558-024-02194-w
2625. Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations M. Egli et al. https://doi.org/10.1038/s41467-025-67748-8
2626. Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean M. Athanase et al. https://doi.org/10.1038/s43247-024-01212-1
2627. Practical investigation of climate extremes and IDF curves under climate change with applications of SSP scenarios (case study: Silakhor Plain, Iran) A. Sharghi & M. Komasi https://doi.org/10.1007/s10661-025-14568-4
2628. Using a region-specific ice-nucleating particle parameterization improves the representation of Arctic clouds in a global climate model A. Gjelsvik et al. https://doi.org/10.5194/acp-25-1617-2025
2629. Projections of Drought Characteristics Based on the CNRM-CM6 Model over Africa I. Nooni et al. https://doi.org/10.3390/agriculture12040495
2630. Filtering CMIP6 models in the Euro-Mediterranean based on a circulation patterns approach M. Olmo et al. https://doi.org/10.1016/j.wace.2025.100765
2631. Advanced artificial intelligence and remote sensing for earth observation–based tree crop monitoring: A global review with african perspectives A. Moussaid et al. https://doi.org/10.1016/j.neucom.2026.134165
2632. Intraseasonal variability of Indian Summer Monsoon Rainfall in CMIP6 models simulation P. Kumar & P. Sarthi https://doi.org/10.1007/s00704-021-03661-6
2633. Record-breaking statistics detect islands of cooling in a sea of warming E. Sena et al. https://doi.org/10.5194/acp-22-16111-2022
2634. Climate Change and Extreme Events in Northeast Atlantic and Azores Islands Region F. Carvalho et al. https://doi.org/10.3390/cli11120238
2635. Inter-Model Spread in Representing the Impacts of ENSO on the South China Spring Rainfall in CMIP6 Models X. Yin et al. https://doi.org/10.3390/atmos15101199
2636. Fine-scale estimates of ammonia emissions from South Asian croplands under changing climate A. Ismaeel et al. https://doi.org/10.1016/j.atmosenv.2025.121705
2637. Combination of Decadal Predictions and Climate Projections in Time: Challenges and Potential Solutions D. Befort et al. https://doi.org/10.1029/2022GL098568
2638. Comparative analysis of extreme precipitation simulations over China by CMIP6 and CMIP5 models: similarities, differences, and uncertainty assessment X. Rao et al. https://doi.org/10.1088/2515-7620/ae009b
2639. Evaluating the Performance of Climate Models Based on Wasserstein Distance G. Vissio et al. https://doi.org/10.1029/2020GL089385
2640. Potential future methane emission hot spots in Greenland M. Geng et al. https://doi.org/10.1088/1748-9326/aaf34b
2641. Effects of storms on fisheries and aquaculture: An Icelandic case study on climate change adaptation N. Sühring et al. https://doi.org/10.1080/15230430.2023.2269689
2642. A storyline approach to select the CMIP6 model ensemble to be downscaled for the South America domain A. Cardoso et al. https://doi.org/10.1007/s00382-025-08017-8
2643. Simulation of Possible Future Climate Changes in the 21st Century in the INM-CM5 Climate Model E. Volodin & A. Gritsun https://doi.org/10.1134/S0001433820030123
2644. Ensemble modeling of Pinus cembroides Zucc. distribution under future CMIP6 climate scenarios in northern Mexico J. Martínez-Sánchez et al. https://doi.org/10.3832/ifor4880-018
2645. Disentangling the causes of the 1816 European year without a summer A. Schurer et al. https://doi.org/10.1088/1748-9326/ab3a10
2646. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.2
2647. Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden Y. Ma et al. https://doi.org/10.3390/ijerph17186786
2648. Optimal Strategies for Climate Change Mitigation M. Arrighini et al. https://doi.org/10.1016/j.ifacol.2024.07.095
2649. Assessment of the wind power density over South America simulated by CMIP6 models in the present and future climate G. de Souza Ferreira et al. https://doi.org/10.1007/s00382-023-06993-3
2650. Means and Extremes: Evaluation of a CMIP6 Multi-Model Ensemble in Reproducing Historical Climate Characteristics across Alberta, Canada B. Masud et al. https://doi.org/10.3390/w13050737
2651. Projection and Uncertainty Analysis of Future Temperature Change over the Yarlung Tsangpo-Brahmaputra River Basin Based on CMIP6 Z. Xu et al. https://doi.org/10.3390/w15203595
2652. Unraveling the invisible leptospirosis in mainland Southeast Asia and its fate under climate change L. Douchet et al. https://doi.org/10.1016/j.scitotenv.2022.155018
2653. Distribution of Trachelospermum jasminoides Under the Influence of Different Environmental Factors H. Yu et al. https://doi.org/10.3390/agriculture15030285
2654. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. https://doi.org/10.5194/gmd-9-2973-2016
2655. Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic https://doi.org/10.1016/j.scitotenv.2021.148323
2656. A new end-to-end workflow for the Community Earth System Model (version 2.0) for the Coupled Model Intercomparison Project Phase 6 (CMIP6) S. Mickelson et al. https://doi.org/10.5194/gmd-13-5567-2020
2657. A doubled increasing trend of evapotranspiration on the Tibetan Plateau X. Chen et al. https://doi.org/10.1016/j.scib.2024.03.046
2658. Global Future Drought Layers Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways D. Araujo et al. https://doi.org/10.1038/s41597-025-04612-w
2659. Data Management for PalMod-II – A FAIR-Based Strategy for Data Handling in Large Climate Modeling Projects S. Gehlot et al. https://doi.org/10.5334/dsj-2023-034
2660. Prediction of potential suitable areas for four medicinal plants in arid areas in North Africa under climate change scenarios B. Liu et al. https://doi.org/10.1007/s00704-025-05791-7
2661. Approaching a thermal tipping point in the Eurasian boreal forest at its southern margin M. Rao et al. https://doi.org/10.1038/s43247-023-00910-6
2662. 权衡碳固存和耗水量的全球生态恢复框架 庆. 韩 et al. https://doi.org/10.1360/N072025-0308
2663. Investigating the Future Precipitation Changes Over the Kingdom of Bahrain Using CMIP6 Projections J. Drisya & W. Al-Zubari https://doi.org/10.1007/s41748-025-00578-2
2664. Optimal areas and climate change effects on dragon fruit cultivation in Mesoamerica V. Sosa et al. https://doi.org/10.1017/S0021859620000775
2665. A systematic review of regional and global climate extremes in CMIP6 models under shared socio-economic pathways R. Deepa et al. https://doi.org/10.1007/s00704-024-04872-3
2666. Climate change will increase high-temperature risks, degradation, and costs of rooftop photovoltaics globally H. Wu et al. https://doi.org/10.1016/j.joule.2025.102218
2667. Interannual variability of the sea surface salinity and its related freshwater flux in the tropical Pacific: A comparison of CMIP5 and CMIP6 H. Zhi et al. https://doi.org/10.1016/j.aosl.2022.100190
2668. A CMIP6 multi-model ensemble-based analysis of potential climate change impacts on irrigation water demand and supply using SWAT and CROPWAT models: a case study of Akmese Dam, Turkey E. Yalcin https://doi.org/10.1007/s00704-023-04657-0
2669. Analysis of rainfall epochs in changing climate of Kangsabati river basin, India S. Chakraborty & T. Roshni https://doi.org/10.14712/23361980.2025.7
2670. Evaluation and future projections of wind energy resources over the Northern Hemisphere in CMIP5 and CMIP6 models H. Miao et al. https://doi.org/10.1016/j.renene.2023.05.007
2671. Observed variability and trends in global precipitation during 1979–2020 G. Gu & R. Adler https://doi.org/10.1007/s00382-022-06567-9
2672. A Preliminary Assessment of Projected CMIP6 Extreme Rainfall in the Subarnarekha River Basin S. Kumar & V. Singh https://doi.org/10.48084/etasr.13075
2673. Climate Change Effects on Flood Risk at Wastewater Treatment Plants: A Facility-Scale Assessment G. Flor Tey et al. https://doi.org/10.3390/su18063074
2674. The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013–2023) X. Wang et al. https://doi.org/10.1073/pnas.2534130123
2675. Growth rates, seasonal cycles, and meridional gradients of atmospheric CO2 and δ13C using an atmospheric transport model for the period 1948–2021 U. Chakraborty et al. https://doi.org/10.1007/s44394-026-00020-9
2676. Improving future agricultural sustainability by optimizing crop distributions in China Q. Guan et al. https://doi.org/10.1093/pnasnexus/pgae562
2677. Weak self-induced cooling of tropical cyclones amid fast sea surface warming S. Guan et al. https://doi.org/10.1038/s41561-025-01879-x
2678. Simulation and projection of photovoltaic energy potential over a tropical region using CMIP6 models O. Ojo & P. Adesemoye https://doi.org/10.1016/j.jastp.2024.106384
2679. A high-resolution discourse on seismic tomography A. Fichtner et al. https://doi.org/10.1098/rspa.2024.0955
2680. Deeper waters, more calcifiers: Spatial variation in benthic assemblages highlight conservation challenges in sub-Antarctic Marine Protected areas L. Bergagna et al. https://doi.org/10.1016/j.marenvres.2026.107889
2681. Evaluation of the impact of climate change on rainfall for potential landslide triggering in Japan H. Tsunetaka et al. https://doi.org/10.1002/esp.6050
2682. Transient Precipitation Increase During Winter in the Eastern North America W. Liang & M. Zhang https://doi.org/10.1029/2022GL098188
2683. Impact of Climate Change and Drought Attributes in Nigeria A. Ogunrinde et al. https://doi.org/10.3390/atmos13111874
2684. Decadal oceanic variability amplified recent heatwave in the Northern Hemisphere N. Lei et al. https://doi.org/10.1038/s41612-025-01179-6
2685. Dataset of future-shifted weather files for Canada using climate projections from CMIP6 S. Sobie & C. Curry https://doi.org/10.1016/j.dib.2025.111667
2686. Spatial-temporal transformer network for multi-year ENSO prediction D. Song et al. https://doi.org/10.3389/fmars.2023.1143499
2687. The major role of riverine outflows in shaping the current and future habitats of Harmful Algal Blooms: the case of the North Sea O. Duteil et al. https://doi.org/10.1088/2515-7620/ad97ab
2688. How Well Do AR5 Sea Surface-Height Model Projections Match Observational Rates of Sea-Level Rise at the Regional Scale? P. Watson https://doi.org/10.3390/jmse6010011
2689. Projected excess mortality from PM2.5 exposure in Europe under future climate and sociodemographic pathways P. Niki et al. https://doi.org/10.1088/2752-5309/ae868a
2690. How polar-midlatitude atmospheric teleconnections depend on regional sea ice fraction and global warming level C. Iles et al. https://doi.org/10.5194/esd-16-2253-2025
2691. Properties, Changes, and Controls of Deep‐Convecting Clouds in Radiative‐Convective Equilibrium C. Stauffer & A. Wing https://doi.org/10.1029/2021MS002917
2692. Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle J. Jian et al. https://doi.org/10.1038/s41467-022-29391-5
2693. Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models L. Shi et al. https://doi.org/10.1016/j.jhydrol.2020.125394
2694. Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs Y. Xu et al. https://doi.org/10.3390/ijerph191912092
2695. FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al. https://doi.org/10.5194/gmd-19-1429-2026
2696. A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways Y. Li et al. https://doi.org/10.3390/plants14142158
2697. Global Carbon Budget 2020 P. Friedlingstein et al. https://doi.org/10.5194/essd-12-3269-2020
2698. Climate change scenarios in fisheries and aquatic conservation research M. Burgess et al. https://doi.org/10.1093/icesjms/fsad045
2699. Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape A. Basukala & L. Rasche https://doi.org/10.3390/land11081355
2700. Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding I. Chang-Brahim et al. https://doi.org/10.3389/fpls.2024.1319938
2701. A Deep‐Learning Ensemble Method to Detect Atmospheric Rivers and Its Application to Projected Changes in Precipitation Regime Y. Tian et al. https://doi.org/10.1029/2022JD037041
2702. Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations M. Donat et al. https://doi.org/10.1088/2752-5295/ad5463
2703. Distribution patterns and climatic responses of Macrophthalmus banzai and Macrophthalmus japonicus in East Asia (Ocypodoidea: Macrophthalmidae) C. Liu et al. https://doi.org/10.1016/j.marenvres.2025.107253
2704. The Role of Anthropogenic Aerosol Forcing in the 1850–1985 Strengthening of the AMOC in CMIP6 Historical Simulations J. Robson et al. https://doi.org/10.1175/JCLI-D-22-0124.1
2705. A Strong Anthropogenic Black Carbon Forcing Constrained by Pollution Trends Over China Y. Liu et al. https://doi.org/10.1029/2022GL098965
2706. Climatic Niche Contraction and Refugial Persistence of an Invasive Tephritid Pest Across the Arabian Peninsula Under Contrasting Emission Scenarios H. Al Dhafer et al. https://doi.org/10.3390/biology15100814
2707. Volcanic Radiative Forcing From 1979 to 2015 A. Schmidt et al. https://doi.org/10.1029/2018JD028776
2708. Enhancing machine learning-based seasonal precipitation forecasting using CMIP6 simulations E. Pinheiro & T. Ouarda https://doi.org/10.1016/j.atmosres.2025.108463
2709. Enhanced generation of internal tides under global warming Z. Yang et al. https://doi.org/10.1038/s41467-024-52073-3
2710. The emerging human fingerprint on global extreme fire weather M. Turco et al. https://doi.org/10.1126/sciadv.adx9845
2711. Assessing the Impact of Initialization on Decadal Prediction Skill R. Sospedra‐Alfonso & G. Boer https://doi.org/10.1029/2019GL086361
2712. Multidisciplinary assessment of the impact of temperature rise and headwind on aircraft take-off performance S. Salles et al. https://doi.org/10.1007/s10584-025-04016-0
2713. AWARE characterization factors in Peru encompassing El Niño and climate change events: does increased water availability guarantee less water scarcity? J. Sanchez-Matos et al. https://doi.org/10.1007/s11367-024-02369-9
2714. Transitioning to sustainability: A spatiotemporal assessment of replacing plastic with degradable films in agroecosystems C. Zhao et al. https://doi.org/10.1016/j.eja.2026.128131
2715. Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada T. Adekanmbi et al. https://doi.org/10.3390/foods12061176
2716. The variations of marine heatwaves during the mid-Pliocene warm period based on CESM2 X. Kong et al. https://doi.org/10.1016/j.palaeo.2025.113118
2717. Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa A. Akinsanola et al. https://doi.org/10.1016/j.atmosres.2021.105509
2718. Dominant modes and drivers of interannual variability of surface air temperature in boreal summer over Europe Y. Chen et al. https://doi.org/10.1007/s00382-025-07743-3
2719. Forecast of the evolution of agro- and bioclimatic resources in northwestern Russia based on the results of climate modeling V. Abannikov et al. https://doi.org/10.1051/e3sconf/202670301008
2720. Ocean warming and accelerating Southern Ocean zonal flow J. Shi et al. https://doi.org/10.1038/s41558-021-01212-5
2721. Updated global and regional trends of stratospheric ozone profiles V. Sofieva et al. https://doi.org/10.5194/acp-26-7387-2026
2722. Using Ice Cores to Evaluate CMIP6 Aerosol Concentrations Over the Historical Era K. Moseid et al. https://doi.org/10.1029/2021JD036105
2723. Incorporating uncertainty from downscaled rainfall projections into climate resilience planning in U.S. cities T. Lopez-Cantu et al. https://doi.org/10.1088/2634-4505/ac8a6c
2724. Performance evaluation of CMIP6 global climate models for selecting models for climate projection over Nigeria M. Shiru & E. Chung https://doi.org/10.1007/s00704-021-03746-2
2725. Nowhere to hide: Ensemble of Small Models exposes climate vulnerability and conservation gaps for an extremely rare troglobitic beetle genus Z. Yin https://doi.org/10.3897/subtbiol.56.190752
2726. Spatial variation of future trends in Atlantic upwelling cells from two CMIP6 models R. Flügel et al. https://doi.org/10.1016/j.dsr2.2025.105483
2727. Rising Risk of Thermokarst Lake Drainage on the Mongolian Plateau Under Future Warming C. Leng et al. https://doi.org/10.3390/rs18183207
2728. Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al. https://doi.org/10.1088/1748-9326/ab492f
2729. Comprehensive Assessment of Drought Susceptibility Using Predictive Modeling, Climate Change Projections, and Land Use Dynamics for Sustainable Management J. Liu et al. https://doi.org/10.3390/land14020337
2730. Statistical Downscaling over Italy using EQM: CMIP6 Climate Projections for the 1985–2100 Period G. Fedele et al. https://doi.org/10.1038/s41597-025-05270-8
2731. Weakening of global terrestrial carbon sequestration capacity under increasing intensity of warm extremes X. Yuan et al. https://doi.org/10.1038/s41559-024-02576-5
2732. Strategies for climate-resilient global wind and solar power systems D. Zheng et al. https://doi.org/10.1038/s41586-025-09266-7
2733. Changes in Extreme Temperature Events and Their Contribution to Mean Temperature Changes during Historical and Future Periods over Mainland China Y. Shan et al. https://doi.org/10.3390/atmos13071127
2734. Improving sea-level projections on the Northwestern European shelf using dynamical downscaling T. Hermans et al. https://doi.org/10.1007/s00382-019-05104-5
2735. Constraining the First Year of Ice‐Free Arctic: Importance of Regional Perspective S. Paik et al. https://doi.org/10.1029/2022EF003313
2736. Rapid intensification of the emerging southwestern North American megadrought in 2020–2021 A. Williams et al. https://doi.org/10.1038/s41558-022-01290-z
2737. Divergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models U. Nworgu et al. https://doi.org/10.1088/2752-5295/ad3a0e
2738. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia Z. Iqbal et al. https://doi.org/10.1016/j.atmosres.2021.105525
2739. Enhanced future vegetation growth with elevated carbon dioxide concentrations could increase fire activity R. Allen et al. https://doi.org/10.1038/s43247-024-01228-7
2740. Projections of the Transient State‐Dependency of Climate Feedbacks R. Bastiaansen et al. https://doi.org/10.1029/2021GL094670
2741. Predicting Changes in Population Exposure to Precipitation Extremes over Beijing–Tianjin–Hebei Urban Agglomeration with Regional Climate Model RegCM4 on a Convection-Permitting Scale P. Qin et al. https://doi.org/10.3390/su151511923
2742. Multi-year El Niño events tied to the North Pacific Oscillation R. Ding et al. https://doi.org/10.1038/s41467-022-31516-9
2743. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al. https://doi.org/10.5194/tc-14-2409-2020
2744. Increasing 2020‐Like Boreal Summer Rainfall Extremes Over Northeast Indian Subcontinent Under Greenhouse Warming H. Tang et al. https://doi.org/10.1029/2021GL096377
2745. Projected changes in population exposure to drought across the Philippines under CMIP6 forcing scenarios S. Ignacio-Reardon et al. https://doi.org/10.1088/2515-7620/addfad
2746. Advancing Our Understanding of Eddy-driven Jet Stream Responses to Climate Change – A Roadmap A. Ossó et al. https://doi.org/10.1007/s40641-024-00199-3
2747. An assessment of the simulation of East-Asia precipitation in the high-resolution community earth system model G. Yang et al. https://doi.org/10.1007/s00382-022-06606-5
2748. Cumulative risk of future bleaching for the world’s coral reefs C. Mellin et al. https://doi.org/10.1126/sciadv.adn9660
2749. Spatiotemporal analysis of Red King Crab stock dynamics in the Barents sea using SDM methods S. Bakanev https://doi.org/10.36038/0234-2774-2025-26-4-113-126
2750. Separating Anthropogenically‐ and Naturally‐Caused Temperature Trends: A Systematic Approach Based On Climate Memory Analysis N. Yuan et al. https://doi.org/10.1029/2022GL102232
2751. Assessment of future droughts in Vietnam using high-resolution downscaled CMIP6 projections T. Nguyen-Xuan et al. https://doi.org/10.1007/s11069-025-07651-z
2752. EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 1: Development of deep learning model J. Quinting & C. Grams https://doi.org/10.5194/gmd-15-715-2022
2753. Integrating global and regional niches with nested hierarchical SDMs reveals niche features and invasion-phase shifts under climate change in oceanic-island grass invaders R. Cedrés-Perdomo et al. https://doi.org/10.1007/s10531-026-03379-9
2754. Global River Discharge and Floods in the Warmer Climate of the Last Interglacial P. Scussolini et al. https://doi.org/10.1029/2020GL089375
2755. Climate change increases risks of wildfire and biome shifts in United States national parks in California P. Gonzalez & J. Verkerke https://doi.org/10.1088/1748-9326/ae89cf
2756. Supporting food security with multi-annual climate information: Co-production of climate services for the Southern African Development Community C. Delgado-Torres et al. https://doi.org/10.1016/j.scitotenv.2025.179259
2757. Global rainfall erosivity: Observation, attribution, and projection Y. Tong et al. https://doi.org/10.1016/j.iswcr.2025.12.005
2758. Population and Economic Projections in the Yangtze River Basin Based on Shared Socioeconomic Pathways M. Zhu et al. https://doi.org/10.3390/su12104202
2759. Effect of Climate Change on Thermal Loads in Concrete Box Girders S. Saad et al. https://doi.org/10.1061/JBENF2.BEENG-6835
2760. Distinct Influences of Land Cover and Land Management on Seasonal Climate D. Singh et al. https://doi.org/10.1029/2018JD028874
2761. Benchmarking Simulated Precipitation Variability Amplitude across Time Scales M. Ahn et al. https://doi.org/10.1175/JCLI-D-21-0542.1
2762. The mechanism of boreal summer SSTA phase-locking in the far eastern Pacific H. Chen & F. Jin https://doi.org/10.1038/s41612-023-00472-6
2763. Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling: from blockings to teleconnections S. Springer et al. https://doi.org/10.1038/s41612-024-00659-5
2764. Contrasting Anthropogenic Drivers Behind Asymmetric Warming in the Arctic and Antarctica B. Swain et al. https://doi.org/10.34133/olar.0127
2765. Predictable and Unpredictable Modes of Northern Hemisphere Atmospheric Circulation in CMIP6: Evaluation and Projections K. Ying et al. https://doi.org/10.1007/s00376-025-4539-x
2766. Projected land use changes in the Qinghai-Tibet Plateau at the carbon peak and carbon neutrality targets R. Xu et al. https://doi.org/10.1007/s11430-022-1077-y
2767. Footprint of greenhouse forcing in daily temperature variability M. Kotz et al. https://doi.org/10.1073/pnas.2103294118
2768. Evaluation and projections of surface air temperature over the Tibetan Plateau from CMIP6 and CMIP5: warming trend and uncertainty M. Zhou et al. https://doi.org/10.1007/s00382-022-06518-4
2769. Future fire risk under climate change and deforestation scenarios in tropical Borneo T. Davies-Barnard et al. https://doi.org/10.1088/1748-9326/acb225
2770. A Comparison of the CMIP6midHoloceneandlig127kSimulations in CESM2 B. Otto‐Bliesner et al. https://doi.org/10.1029/2020PA003957
2771. Senecio inaequidens DC. will thrive in future climate: A case study in a Mediterranean biodiversity hotspot E. Bazzato et al. https://doi.org/10.1016/j.ecoinf.2024.102783
2772. Beyond local climate zones: Continuous morphology archetypes for heat mitigation across 66 cities S. Emekci & H. Emekci https://doi.org/10.1016/j.scs.2026.107814
2773. Robustness and drivers of the Northern Hemisphere extratropical atmospheric circulation response to a CO$$_2$$-induced warming in CNRM-CM6-1 T. Oudar et al. https://doi.org/10.1007/s00382-019-05113-4
2774. Performance assessment of Coupled Model Intercomparison Project Phase 5 models in tropical South America using TOPSIS‐based method M. da Silva et al. https://doi.org/10.1002/joc.7708
2775. Reduced ENSO Variability due to a Collapsed Atlantic Meridional Overturning Circulation B. Orihuela-Pinto et al. https://doi.org/10.1175/JCLI-D-21-0293.1
2776. Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science Q. Wen et al. https://doi.org/10.1016/j.ecolind.2024.113004
2777. Reduced annual temperature cycle amplitude over the high-elevation Tibetan Plateau induced by black carbon aerosols L. Zhu et al. https://doi.org/10.1007/s10584-026-04192-7
2778. Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al. https://doi.org/10.1016/j.agrformet.2023.109602
2779. TRAPPIST Habitable Atmosphere Intercomparison (THAI) Workshop Report T. Fauchez et al. https://doi.org/10.3847/PSJ/abf4df
2780. Climate of Syria Based on Cordex Simulations: Present and Future N. Naaouf & C. Torma https://doi.org/10.1007/s41748-023-00351-3
2781. Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model D. Bi et al. https://doi.org/10.1071/ES19040
2782. Uncertainty in Reconstructing Paleo‐Elevation of the Antarctic Ice Sheet From Temperature‐Sensitive Ice Core Records J. Badgeley et al. https://doi.org/10.1029/2022GL100334
2783. Impact of land-use changes on the increase in extreme precipitation events in the Lake Victoria Basin J. Birungi et al. https://doi.org/10.1016/j.uclim.2025.102615
2784. Separating internal and forced contributions to near term SST predictability in the CESM2-LE E. Gordon et al. https://doi.org/10.1088/1748-9326/acfdbc
2785. Potential Impacts of Climate Change on the Habitat Suitability of the Dominant Tree Species in Greece N. Fyllas et al. https://doi.org/10.3390/plants11121616
2786. Importance of El Niño reproducibility for reconstructing historical CO2 flux variations in the equatorial Pacific M. Watanabe et al. https://doi.org/10.5194/os-16-1431-2020
2787. UVBoost: An erythemal weighted ultraviolet radiation estimator based on a machine learning gradient boosting algorithm M. Corrêa https://doi.org/10.1016/j.jqsrt.2023.108490
2788. Projections of mortality risk attributable to short-term exposure to landscape fire smoke in China, 2021–2100: a health impact assessment study S. Lou et al. https://doi.org/10.1016/S2542-5196(23)00192-4
2789. Historical fidelity and future change of Amundsen Sea Low under 1.5 °C–4 °C global warming in CMIP6 M. Gao et al. https://doi.org/10.1016/j.atmosres.2021.105533
2790. Emergent constraints on the hydrological impacts of land use and land cover change Z. Chen et al. https://doi.org/10.1038/s41467-026-69883-2
2791. Climate feedback from plant physiological responses to increasing atmospheric CO2 in Earth system models Y. Li https://doi.org/10.1111/nph.20184
2792. Projected changes in hot, dry and wet extreme events’ clusters in CMIP6 multi-model ensemble M. Vogel et al. https://doi.org/10.1088/1748-9326/ab90a7
2793. Understanding the ENSO–East Asian winter monsoon relationship in CMIP6 models: performance evaluation and influencing factors W. Guo et al. https://doi.org/10.1007/s00382-024-07292-1
2794. A more quiescent deep ocean under global warming S. Wang et al. https://doi.org/10.1038/s41558-024-02075-2
2795. Carbon Cycle Response to Temperature Overshoot Beyond 2°C: An Analysis of CMIP6 Models I. Melnikova et al. https://doi.org/10.1029/2020EF001967
2796. Abrupt increase in Arctic-Subarctic wildfires caused by future permafrost thaw I. Kim et al. https://doi.org/10.1038/s41467-024-51471-x
2797. An artificial intelligence reconstruction of global gridded surface winds L. Zhou et al. https://doi.org/10.1016/j.scib.2022.09.022
2798. Zonally contrasting shifts of the tropical rain belt in response to climate change A. Mamalakis et al. https://doi.org/10.1038/s41558-020-00963-x
2799. The 2023 global warming spike was driven by the El Niño–Southern Oscillation S. Raghuraman et al. https://doi.org/10.5194/acp-24-11275-2024
2800. Meteorologically Driven Changes in Future Global Air Quality: Physical and Monetized Impacts E. McDuffie et al. https://doi.org/10.1021/acs.est.5c14713
2801. Short- and long-term variability of the Antarctic and Greenland ice sheets E. Hanna et al. https://doi.org/10.1038/s43017-023-00509-7
2802. Identifying crucial emission sources under low forcing scenarios by a comprehensive attribution analysis X. Su et al. https://doi.org/10.1016/j.oneear.2022.10.009
2803. Performance of CMIP6 HighResMIP Simulations on West African Drought F. Ajibola et al. https://doi.org/10.3389/feart.2022.925358
2804. A fresh look at the pre-industrial air–sea carbon flux using the alkalinity budget A. Planchat et al. https://doi.org/10.5194/bg-22-6017-2025
2805. Future emergence of new ecosystems caused by glacial retreat J. Bosson et al. https://doi.org/10.1038/s41586-023-06302-2
2806. Will the ‘evapotranspiration paradox’ phenomenon exist across China in the future? Z. Li et al. https://doi.org/10.1002/joc.8256
2807. Assessment and Constraint of Mesozooplankton in CMIP6 Earth System Models C. Petrik et al. https://doi.org/10.1029/2022GB007367
2808. Weakened ENSO-precipitation teleconnection over southern Africa during the Last Interglacial: A modeling perspective J. Ma et al. https://doi.org/10.1016/j.gloplacha.2025.105024
2809. Future strengthening of the Nordic Seas overturning circulation M. Årthun et al. https://doi.org/10.1038/s41467-023-37846-6
2810. Assessment of the impact of climate change on urban flooding: A case study of Beijing, China X. Ding et al. https://doi.org/10.2166/wcc.2022.224
2811. Emergent reorganization and increased persistence of meteorological drought across Africa A. Ogunrinde et al. https://doi.org/10.1038/s43247-026-03528-6
2812. Inter-comparison of global ice sea coupling model based on NEMO and MITgcm X. Liu et al. https://doi.org/10.1088/1742-6596/2486/1/012027
2813. Effects of Anthropogenic Aerosol and Greenhouse Gas Emissions on Northern Hemisphere Monsoon Precipitation: Mechanisms and Uncertainty P. Monerie et al. https://doi.org/10.1175/JCLI-D-21-0412.1
2814. Projection of Rainfed Rice Yield Using CMIP6 in the Lower Lancang–Mekong River Basin S. Xie et al. https://doi.org/10.3390/agronomy13061504
2815. Profit-Optimal Nitrogen Under Climate Change: DSSAT-Derived EONR Across Global Staple Systems J. Et-Tousy et al. https://doi.org/10.1051/epjconf/202638306001
2816. Benchmarking historical performance and future projections from a large-scale hydrologic model with a watershed hydrologic model R. Shrestha et al. https://doi.org/10.5194/hess-29-2881-2025
2817. Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V. Eyring et al. https://doi.org/10.5194/gmd-13-3383-2020
2818. Broader research efforts and assessments needed to uncover the complex climate effects of regional changes in aerosol emissions B. Samset et al. https://doi.org/10.1371/journal.pclm.0000508
2819. Risks of synchronized low yields are underestimated in climate and crop model projections K. Kornhuber et al. https://doi.org/10.1038/s41467-023-38906-7
2820. CMIP6 ESMs overestimate greening and the photosynthesis trends in Dryland East Asia Y. Xiao et al. https://doi.org/10.1016/j.scitotenv.2024.173432
2821. Evaluation of Precipitation Simulated by the Atmospheric Global Model MRI-AGCM3.2 S. KUSUNOKI et al. https://doi.org/10.2151/jmsj.2024-013
2822. CMIP6 model evaluation for sea surface height responses to ENSO D. Sardana et al. https://doi.org/10.1007/s00382-023-06997-z
2823. Modelling future flowering trends of Alnus, Corylus, and Betula in Central Europe using the PhenoFlex framework N. Štefániková et al. https://doi.org/10.1016/j.ufug.2025.129259
2824. An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
2825. Metalearning Approach Coupled with CMIP6 Multi-GCM for Future Monthly Streamflow Forecasting M. Adib & S. Harun https://doi.org/10.1061/(ASCE)HE.1943-5584.0002176
2826. Evaluating the enhanced benefits of multi-model ensemble mean from NEX-GDDP-CMIP6 versus native CMIP6 Models in accurately representing historical temperature patterns in South America H. Arregocés et al. https://doi.org/10.1016/j.envc.2025.101373
2827. Changes in March mean snow water equivalent since the mid-20th century and the contributing factors in reanalyses and CMIP6 climate models J. Räisänen https://doi.org/10.5194/tc-17-1913-2023
2828. Evolution and prediction of drought-flood abrupt alternation events in Huang-Huai-Hai River Basin, China J. Ren et al. https://doi.org/10.1016/j.scitotenv.2023.161707
2829. Future changes in annual runoff and hydroclimatic extremes in the upper Yangtze River Basin T. Wang et al. https://doi.org/10.1016/j.jhydrol.2022.128738
2830. Incorporating decadal climate variability information in the operation and design of water infrastructure J. Rolf Olsen et al. https://doi.org/10.2166/wp.2021.267
2831. Linking global land surface temperature projections to radiative effects of hydrometeors under a global warming scenario J. Li et al. https://doi.org/10.1088/1748-9326/ac153c
2832. Importance of the seasonal temperature and precipitation variation on glacial evolutions during the LGM at monsoonal Himalaya based on Cogarbu valley W. Yang et al. https://doi.org/10.1016/j.palaeo.2022.111132
2833. Simulation of LUCC Dynamics and Estimation of Carbon Stock under Different SSP-RCP Scenarios in Heilongjiang Province F. Gao et al. https://doi.org/10.3390/land12091665
2834. Constraining the entire Earth system projections for more reliable climate change adaptation planning C. Li et al. https://doi.org/10.1126/sciadv.adr5346
2835. Climate-driven global cropland changes and consequent feedbacks N. You et al. https://doi.org/10.1038/s41561-025-01724-1
2836. Understanding the evolving patterns of extreme rainfall C. Bonfils et al. https://doi.org/10.1038/s43247-026-03516-w
2837. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. https://doi.org/10.3389/feart.2021.710036
2838. Earth System Models Are Not Capturing Present‐Day Tropical Forest Carbon Dynamics A. Koch et al. https://doi.org/10.1029/2020EF001874
2839. C4MIP-based projections of moisture convergence and extreme precipitation risks in East Asia N. Jeon et al. https://doi.org/10.1016/j.atmosres.2025.108637
2840. A physics-based empirical model for the prediction of the spring precipitation in Pakistan K. Ji et al. https://doi.org/10.1007/s00382-025-07919-x
2841. Climate models for predicting precipitation and temperature trends in cities: A systematic review F. Shah & A. Sharifi https://doi.org/10.1016/j.scs.2025.106171
2842. Multi‐Timescale Drought Dynamics Under Historical and CMIP6 Future Climate Scenarios C. Naresh & A. Mathew https://doi.org/10.1002/hyp.70628
2843. Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios H. Luo et al. https://doi.org/10.5194/acp-23-8169-2023
2844. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the runoff H. Guo et al. https://doi.org/10.1007/s00704-022-04118-0
2845. Robust Inter‐Hemispheric Asymmetry in the Response to Symmetric Volcanic Forcing in Model Large Ensembles A. Pauling et al. https://doi.org/10.1029/2021GL092558
2846. IMPACTS OF GLOBAL WARMING ON REGIONAL ENERGY AND ECONOMY: UNEVEN CONSEQUENCES ARISING FROM GLOBAL WARMING-INDUCED HEATING AND COOLING DEMAND OF HOUSEHOLDS L. MA et al. https://doi.org/10.1142/S2010007824500052
2847. The Vulnerability, Impacts, Adaptation and Climate Services Advisory Board (VIACS AB v1.0) contribution to CMIP6 A. Ruane et al. https://doi.org/10.5194/gmd-9-3493-2016
2848. Explicitly Resolved Cloud Feedbacks in the Radiative‐Convective Equilibrium Model Intercomparison Project C. Stauffer & A. Wing https://doi.org/10.1029/2023MS003738
2849. Identifying energy model fingerprints in mitigation scenarios M. Dekker et al. https://doi.org/10.1038/s41560-023-01399-1
2850. Improving Surface Soil Moisture Simulation in FGOALS-g3 Over Southeastern China: The Role of Soil Texture K. Xia et al. https://doi.org/10.1007/s44393-026-00016-0
2851. Performance-based sub-selection of CMIP6 models for impact assessments in Europe T. Palmer et al. https://doi.org/10.5194/esd-14-457-2023
2852. Impact of Climate Change on the Thermal Behavior of Long-Span Suspension Bridges L. Zhang et al. https://doi.org/10.1061/JBENF2.BEENG-7581
2853. Anomalies of Net Primary Productivity under Compound Marine Heatwaves and Microplastics H. Liu et al. https://doi.org/10.1021/acs.est.6c02934
2854. Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise I. Sepúlveda et al. https://doi.org/10.1029/2022EF002965
2855. Ensemble random forest for tropical cyclone tracking P. Vaittinada Ayar et al. https://doi.org/10.5194/nhess-25-4655-2025
2856. Reconstruction of Historical Land Surface Albedo Changes in China From 850 to 2015 Using Land Use Harmonization Data and Albedo Look‐Up Maps Y. Song et al. https://doi.org/10.1029/2021EA001799
2857. Irreversibility of winter precipitation over the Northeastern Pacific and Western North America against CO2 forcing Z. Xu et al. https://doi.org/10.1038/s41612-024-00864-2
2858. The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6 H. Goelzer et al. https://doi.org/10.5194/tc-14-3071-2020
2859. On the usefulness of global warming levels for projecting climate change impacts on agricultural productivity V. Mithal et al. https://doi.org/10.1088/1748-9326/ae886b
2860. Modelling the historical and future evolution of six ice masses in the Tien Shan, Central Asia, using a 3D ice-flow model L. Van Tricht & P. Huybrechts https://doi.org/10.5194/tc-17-4463-2023
2861. Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models Y. Zhao et al. https://doi.org/10.1007/s00376-022-1401-2
2862. The Spatiotemporal Heterogeneity of Vegetation–Soil Moisture Coupling in China Y. Ma et al. https://doi.org/10.34133/ehs.0485
2863. How do CMIP6 models project changes in precipitation extremes over seasons and locations across the mid hills of Nepal? R. Chhetri et al. https://doi.org/10.1007/s00704-021-03698-7
2864. Enhancing global CMIP6 model temperature predictions using deep learning neural networks S. Velivelli et al. https://doi.org/10.1007/s11069-025-07491-x
2865. Impacts of Model Spatial Resolution on the Simulation of Convective Spectrum and the Associated Cloud Radiative Effect in the Tropics H. BUI & J. YU https://doi.org/10.2151/jmsj.2021-039
2866. Multi-model evaluation and future projections of radio refractivity over West Africa using CMIP6 E. Israel et al. https://doi.org/10.1016/j.jastp.2026.106811
2867. Decadal Shift of Teleconnections Intensifies Summertime High-Ozone Episodes in China H. Wang et al. https://doi.org/10.1007/s00376-026-6006-8
2868. First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt R. Sellevold & M. Vizcaino https://doi.org/10.1029/2021GL092449
2869. Wavelet-based predictor screening for statistical downscaling of precipitation and temperature using the artificial neural network method A. Hosseini Baghanam et al. https://doi.org/10.2166/nh.2022.094
2870. Urban and agricultural areas under threat of the termite pest genus Heterotermes: insights from species distribution modelling and phylogeny E. Duquesne & D. Fournier https://doi.org/10.1007/s10340-025-01866-6
2871. Potential geographic displacement of Chagas disease vectors under climate change L. Brasil et al. https://doi.org/10.1111/mve.12810
2872. Climate conditions in the near-term, mid-term and distant future for growing soybeans in Canada B. Qian et al. https://doi.org/10.1139/cjps-2022-0233
2873. A Decomposition of Feedback Contributions to the Arctic Surface Temperature Biases in the CMIP5 Climate Models D. Park et al. https://doi.org/10.1007/s13143-022-00268-3
2874. C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project: experimental protocol for CMIP6 C. Jones et al. https://doi.org/10.5194/gmd-9-2853-2016
2875. How can Future Climate Change Affect the Corn Production System in Nebraska, USA? I. Gonçalves et al. https://doi.org/10.1007/s42106-024-00310-6
2876. Sea ice–air interactions amplify multidecadal variability in the North Atlantic and Arctic region J. Deng & A. Dai https://doi.org/10.1038/s41467-022-29810-7
2877. Changes of mean and extreme precipitation and their relationship in Northern Hemisphere land monsoon domain under global warming Y. Jiang et al. https://doi.org/10.1002/joc.8159
2878. Evaluating heat stress and occupational risks in the Southern Himalayas under current and future climates X. Yang et al. https://doi.org/10.1038/s41612-024-00764-5
2879. Rising global hail damage potential in a warming world S. Zhang et al. https://doi.org/10.1038/s41586-026-10543-2
2880. Exploring the attitudes toward climate change and pro-climate-change behavior among people with sensory disabilities in the Middle East and North Africa M. Opoku et al. https://doi.org/10.1080/15487733.2026.2650724
2881. A study of ENSO magnitude and lifespan in CMIP6 models S. Ou et al. https://doi.org/10.1007/s13131-025-2508-y
2882. Application of climate change scenarios in the simulation of forest ecosystems: an overview H. Liu et al. https://doi.org/10.1139/er-2022-0111
2883. Possible extinction of Eversmannia subspinosa in Eastern Alborz by 2060 due to climate change: a MaxEnt study A. Zaheri et al. https://doi.org/10.1007/s00704-024-05047-w
2884. U.S. winter atmospheric rivers and precipitation associated with the north pacific oscillation J. Ryu et al. https://doi.org/10.1088/1748-9326/ae8a6b
2885. Future Changes in Carbon Chemistry Under the Implementation of Artificial Ocean Alkalinization Based on CMIP6 Simulations B. Qu et al. https://doi.org/10.3390/oceans6020029
2886. Re-emergence of Indian Ocean Equatorial undercurrent under early positive Indian Ocean Dipole K. Huang et al. https://doi.org/10.1038/s43247-025-02704-4
2887. Paleodust Insights into Dust Impacts on Climate S. Albani & N. Mahowald https://doi.org/10.1175/JCLI-D-18-0742.1
2888. Evaluating spatial patterns of Asian meteorological drought variations and associated SST anomalies in CMIP6 models Y. Zhang & R. Wu https://doi.org/10.1007/s00704-021-03639-4
2889. Hysteretic Behavior of Global to Regional Monsoon Area Under CO2 Ramp‐Up and Ramp‐Down S. Paik et al. https://doi.org/10.1029/2022EF003434
2890. Fewer, but More Intense, Future Tropical Storms Over the Ganges and Mekong Basins H. Ali et al. https://doi.org/10.1029/2023GL104973
2891. Large increases in methane emissions expected from North America’s largest wetland complex S. Bansal et al. https://doi.org/10.1126/sciadv.ade1112
2892. Evolution of offshore wind resources in Northern Europe under climate change A. Martinez et al. https://doi.org/10.1016/j.energy.2023.126655
2893. Mechanisms linking multi-year La Niña with preceding strong El Niño T. Iwakiri & M. Watanabe https://doi.org/10.1038/s41598-021-96056-6
2894. Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1 K. Balaguru et al. https://doi.org/10.1029/2019MS002024
2895. Historical and future runoff changes in the Yangtze River Basin from CMIP6 models constrained by a weighting strategy J. Zhao et al. https://doi.org/10.1088/1748-9326/ac3f61
2896. Deciphering the projected changes in CMIP-6 based precipitation simulations over the Krishna River Basin S. Anil & P. Anand Raj https://doi.org/10.2166/wcc.2022.399
2897. Unveiling shifts in Eurasian annual temperature cycles under anthropogenic warming Y. Yan https://doi.org/10.1038/s41598-025-30316-7
2898. Multiproxy analyses of multiple shallow firn cores from coastal Adélie Land T. Tcheng et al. https://doi.org/10.5194/tc-20-1599-2026
2899. Impact of internal variability on recent opposite trends in wintertime temperature over the Barents–Kara Seas and central Eurasia S. Wang & W. Chen https://doi.org/10.1007/s00382-021-06077-0
2900. From global climate models (GCMs) to exoplanet spectra with the Global Emission Spectra (GlobES) T. Fauchez et al. https://doi.org/10.1016/j.ascom.2025.100982
2901. Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies M. Callaghan et al. https://doi.org/10.1038/s41558-021-01168-6
2902. Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-21-7671-2021
2903. Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2017JD027006
2904. Rooting depth projections of global plant functional types and driving factors analysis based on a hybrid modeling framework Q. Han et al. https://doi.org/10.1016/j.ecolind.2025.113674
2905. Bias Correction in CMIP6 Models Simulations and Projections for Brazil’s Climate Assessment L. Brumatti et al. https://doi.org/10.1007/s41748-023-00368-8
2906. Integrating ocean observations across body‐size classes to deliver benthic invertebrate abundance and distribution information H. Ruhl et al. https://doi.org/10.1002/lol2.10332
2907. Higher precipitation in East Asia and western United States expected with future Southern Ocean warming H. Kim et al. https://doi.org/10.1038/s41561-025-01669-5
2908. A dynamical downscaling of global climate change projections using an eddy-resolving OGCM: application to sea level changes around Japan T. Suzuki et al. https://doi.org/10.1007/s10872-026-00804-z
2909. Land use and land cover dynamics: Implications for thermal stress and energy demands O. Adeyeri et al. https://doi.org/10.1016/j.rser.2023.113274
2910. Anthropogenic intensification of Arctic anticyclonic circulation Z. Liu et al. https://doi.org/10.1126/sciadv.ads4508
2911. Underestimated MJO Variability in CMIP6 Models P. Le et al. https://doi.org/10.1029/2020GL092244
2912. The potential impact of model horizontal resolution on the simulation of atmospheric cloud radiative effect in CMIP6 models Q. Lin & J. Yu https://doi.org/10.1007/s44195-022-00021-3
2913. What drives historical and future changes in photovoltaic power production from the perspective of global warming? R. Constantin Scheele & S. Fiedler https://doi.org/10.1088/1748-9326/ad10d6
2914. Model simulations capture seasonal Arctic Haze and clean-air cycle better than satellite and reanalysis B. Swain et al. https://doi.org/10.1038/s41598-025-29188-8
2915. CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains K. Van Weverberg et al. https://doi.org/10.1002/2017JD027188
2916. Advancing Global Ecological Modeling Capabilities to Simulate Future Trajectories of Change in Marine Ecosystems M. Coll et al. https://doi.org/10.3389/fmars.2020.567877
2917. Optimizing Soil Moisture Station Networks for Future Climates V. Bessenbacher et al. https://doi.org/10.1029/2022GL101667
2918. Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios A. Soni et al. https://doi.org/10.3390/atmos14040725
2919. A new class of climate hazard metrics and its demonstration: revealing a ten-fold increase of extreme heat over Europe G. Kirchengast et al. https://doi.org/10.1016/j.wace.2026.100855
2920. Spatiotemporal Distribution Shifts of Zelkova schneideriana Under Climate Change: A Biomod2-Driven Modeling Framework M. Li et al. https://doi.org/10.3390/biology14091221
2921. Soil carbon-concentration and carbon-climate feedbacks in CMIP6 Earth system models R. Varney et al. https://doi.org/10.5194/bg-21-2759-2024
2922. Future patterns and drivers of socioeconomic exposure to hot extremes in coastal China: Insights for coastal sustainability X. Wang et al. https://doi.org/10.1016/j.horiz.2026.100197
2923. Subsurface Warm Biases in the Tropical Atlantic and Their Attributions to the Role of Wind Forcing and Ocean Vertical Mixing Q. Zhang et al. https://doi.org/10.1175/JCLI-D-21-0779.1
2924. Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia Y. Chai et al. https://doi.org/10.1038/s41467-022-31782-7
2925. Climate change characteristics of regional drought–flood abrupt alternation events in the low-latitude plateau of southwest China Y. Jin et al. https://doi.org/10.2166/wcc.2025.300
2926. Sea Turtles for Ocean Research and Monitoring: Overview and Initial Results of the STORM Project in the Southwest Indian Ocean O. Bousquet et al. https://doi.org/10.3389/fmars.2020.594080
2927. Coupled Climate Model Simulation of Tropical–Extratropical Cloud Bands over Southern Africa R. James et al. https://doi.org/10.1175/JCLI-D-19-0731.1
2928. KrigR—a tool for downloading and statistically downscaling climate reanalysis data E. Kusch & R. Davy https://doi.org/10.1088/1748-9326/ac48b3
2929. Improving the Knowledge of the Pest Scaptocoris castanea Perty (Hemiptera: Heteroptera: Cydnidae), Further Information for its Early Detection and Prevention Based on Ecological Niche Modeling E. MINGHETTI et al. https://doi.org/10.11646/jihs.1.4.5
2930. Increasing risk of mass human heat mortality if historical weather patterns recur C. Callahan et al. https://doi.org/10.1038/s41558-025-02480-1
2931. Projected impacts of climate change on major dams in the Upper Yangtze River Basin P. Qin et al. https://doi.org/10.1007/s10584-021-03303-w
2932. How well have CMIP3, CMIP5 and CMIP6 future climate projections portrayed the recently observed warming D. Carvalho et al. https://doi.org/10.1038/s41598-022-16264-6
2933. Potential distribution of Blumea balsamifera in China using MaxEnt and the ex situ conservation based on its effective components and fresh leaf yield L. Guan et al. https://doi.org/10.1007/s11356-022-18953-1
2934. Bayesian Regression for Dependent Tensor-Valued Data from Exponential Families J. North et al. https://doi.org/10.1007/s13253-026-00748-3
2935. Long-term variability of Sea Surface Temperature in the Tropical Indian Ocean in relation to climate change and variability S. Mohan et al. https://doi.org/10.1016/j.gloplacha.2021.103436
2936. Glacial buffering maintains recent runoff stability amid warming and wetting in Central Asia Y. Chen et al. https://doi.org/10.1016/j.palaeo.2026.113763
2937. A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies F. Yakubu et al. https://doi.org/10.1038/s41597-026-07709-y
2938. Assessment of Flood Events over India and Its Core Monsoon Zone in CMIP6 Framework A. Vishwakarma et al. https://doi.org/10.1007/s40010-026-01205-z
2939. Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3 J. Lee et al. https://doi.org/10.5194/gmd-17-3919-2024
2940. Projected future changes in extreme precipitation over China under stratospheric aerosol intervention in the UKESM1 climate model O. Wang et al. https://doi.org/10.5194/acp-24-12355-2024
2941. The influence of direct radiative forcing versus indirect sea surface temperature warming on southern hemisphere subtropical anticyclones under global warming A. Fahad & N. Burls https://doi.org/10.1007/s00382-021-06006-1
2942. Large underestimations of warming-induced soil carbon emissions from oversimplistic Q10 indicator G. Moinet et al. https://doi.org/10.1016/j.soilbio.2025.109839
2943. Quantifying Spread in Spatiotemporal Changes of Upper-Ocean Heat Content Estimates: An Internationally Coordinated Comparison A. Savita et al. https://doi.org/10.1175/JCLI-D-20-0603.1
2944. The Impact of Climate Change on Construction Activity Performance S. Oruc et al. https://doi.org/10.3390/buildings14020372
2945. Multi-criteria evaluation of CMIP6 precipitation and temperature simulations over Iran O. Zabihi & A. Ahmadi https://doi.org/10.1016/j.ejrh.2024.101707
2946. Exceptional stratospheric contribution to human fingerprints on atmospheric temperature B. Santer et al. https://doi.org/10.1073/pnas.2300758120
2947. Assessment of wind and wave energy in China seas under climate change based on CMIP6 climate model J. Xu et al. https://doi.org/10.1016/j.energy.2024.133207
2948. Quantifying the role of variability in future intensification of heat extremes C. Simolo & S. Corti https://doi.org/10.1038/s41467-022-35571-0
2949. New model for long-term forecasting of galactic cosmic rays D. Pelosi et al. https://doi.org/10.1103/npfk-lwy9
2950. Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. https://doi.org/10.5194/gmd-15-683-2022
2951. Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil E. Rodrigues et al. https://doi.org/10.1016/j.apenergy.2023.122360
2952. Attribution of extreme events to climate change in the Australian region – A review T. Lane et al. https://doi.org/10.1016/j.wace.2023.100622
2953. Modeling the potential distribution of Musa (AAB), cv. ‘Bellaco’ and Carica papaya under climate change scenarios in the provinces of Jaén and San Ignacio J. Cubas Sanchez et al. https://doi.org/10.1016/j.atech.2026.102271
2954. DEVELOPMENT OF COUPLED ATMOSPHERIC-SLAB OCEAN MODEL GLOBAL CLIMATE MODEL AND CLIMATE CHANGE IMPACTS ON TROPICAL CYCLONES T. OKADA et al. https://doi.org/10.2208/kaigan.77.2_I_961
2955. Requirements for a global data infrastructure in support of CMIP6 V. Balaji et al. https://doi.org/10.5194/gmd-11-3659-2018
2956. Current and Future Variations of the Monsoons of the Americas in a Warming Climate S. Pascale et al. https://doi.org/10.1007/s40641-019-00135-w
2957. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. https://doi.org/10.5194/tc-15-4281-2021
2958. Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: Experimental observations and DNDC model predictions L. Xu et al. https://doi.org/10.3389/fpls.2022.1019966
2959. Changing circulations challenge the sustainability of cold water mass and associated ecosystem under climate change P. Yang et al. https://doi.org/10.1038/s44183-024-00077-3
2960. Modulation of the Arctic–East Asian winter teleconnection by extreme CO₂ forcing X. Xu et al. https://doi.org/10.1038/s41612-026-01457-x
2961. How well do the CMIP6 HighResMIP models simulate precipitation over the Tibetan Plateau? Q. Chen et al. https://doi.org/10.1016/j.atmosres.2022.106393
2962. Implications of Warm Pool Bias in CMIP6 Models on the Northern Hemisphere Wintertime Subtropical Jet and Precipitation X. Liu & K. Grise https://doi.org/10.1029/2023GL104896
2963. Studying solar storm impact on global neutral wind pattern and EIA formation using WACCM-X model A. Mahmoudian & M. Baghbani https://doi.org/10.1016/j.asr.2025.05.013
2964. Observed winter Barents Kara Sea ice variations induce prominent sub-decadal variability and a multi-decadal trend in the Warm Arctic Cold Eurasia pattern R. Ghosh et al. https://doi.org/10.1088/1748-9326/ad1c1a
2965. Historical total ozone radiative forcing derived from CMIP6 simulations R. Skeie et al. https://doi.org/10.1038/s41612-020-00131-0
2966. Updates on Model Hierarchies for Understanding and Simulating the Climate System: A Focus on Data‐Informed Methods and Climate Change Impacts L. Mansfield et al. https://doi.org/10.1029/2023MS003715
2967. Evaluation of the Climate Change Effect on Minimum and Maximum Temperatures and the Reference Evapotranspiration in the Lake Urmia Basin Using CMIP6 Models A. Yahyavi Dizaj et al. https://doi.org/10.61882/jwmr.2024.1269
2968. Multi-scenario analysis of wheat irrigation requirements under climate change: assessment of CMIP6 models for crop water modeling in Bangladesh M. Islam et al. https://doi.org/10.2166/wcc.2026.405
2969. Assessing the consequences of recent climate change on World Heritage sites in South Greenland J. Hollesen et al. https://doi.org/10.1038/s41598-024-60397-9
2970. Overview of the CMIP6 Historical Experiment Datasets with the Climate System Model CAS FGOALS-f3-L Y. Guo et al. https://doi.org/10.1007/s00376-020-2004-4
2971. Multi-decadal changes in convection-circulation coupled structure of the Madden–Julian oscillation L. Wang et al. https://doi.org/10.1007/s00382-025-07892-5
2972. Role of the quasi-biennial oscillation in alleviating biases in the semi-annual oscillation A. Jaison et al. https://doi.org/10.5194/wcd-5-1489-2024
2973. Projecting the future incidence and burden of dengue in Southeast Asia F. Colón-González et al. https://doi.org/10.1038/s41467-023-41017-y
2974. Larger increase in future global terrestrial water availability than projected by CMIP6 models Y. Wu et al. https://doi.org/10.59717/j.xinn-geo.2024.100097
2975. Carbon-aware ramping-driven assessment of multi-duration energy storage requirements under extreme climate events L. Wei et al. https://doi.org/10.1016/j.ijepes.2026.111754
2976. Vertical structure and surface impact of atmospheric rivers reaching antarctic sea ice and land M. Kolbe et al. https://doi.org/10.1016/j.atmosres.2024.107841
2977. Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4) B. Otto-Bliesner et al. https://doi.org/10.5194/cp-17-63-2021
2978. Uncertain response of ocean biological carbon export in a changing world S. Henson et al. https://doi.org/10.1038/s41561-022-00927-0
2979. Projections of Autumn Precipitation Extremes in Southwest China Based on a Statistically Downscaled CMIP6 Dataset L. Wei et al. https://doi.org/10.1007/s13351-025-5012-6
2980. Future projections of atmospheric icing in Norway E. Iversen et al. https://doi.org/10.1016/j.coldregions.2023.103836
2981. Climate Change Threatens Barringtonia racemosa: Conservation Insights from a MaxEnt Model Y. Tan et al. https://doi.org/10.3390/d16070429
2982. Sharp decline of dust events induces regional wetting over arid and semi-arid Northwest China in the NCAR Community atmosphere model X. Xie et al. https://doi.org/10.1088/1748-9326/ad16a5
2983. Geographic Variation in Migratory Grasshopper Recruitment under Projected Climate Change J. Humphreys et al. https://doi.org/10.3390/geographies2010003
2984. Eastern Tropical Pacific atmospheric and oceanic projected changes based on CMIP6 models R. Torres Parra et al. https://doi.org/10.1016/j.pocean.2024.103362
2985. CMIP6 skill at predicting interannual to multi-decadal summer monsoon precipitation variability P. Monerie et al. https://doi.org/10.1088/1748-9326/acea96
2986. Changes in extreme high temperature warning indicators over China under different global warming levels Y. Zhang et al. https://doi.org/10.1007/s11430-023-1299-1
2987. Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations I. Makroum et al. https://doi.org/10.5194/gmd-19-447-2026
2988. Effect of quasi‐biennial oscillation on the intensity of the South China Sea summer monsoon Y. Hu et al. https://doi.org/10.1002/joc.8336
2989. Assessing Climate‐Change Impacts on Hydrological Processes and Blue–Green Water Dynamics Using Multi‐Model Ensembles Under Shared Socioeconomic Pathways in the Hanjiang River Basin, China H. Li et al. https://doi.org/10.1002/hyp.70096
2990. Intensifying heatwaves under 1.5 or 2.0 °C warming climate by increasing regional surface air temperature and global SST P. Qin & Z. Xie https://doi.org/10.1007/s00382-026-08223-y
2991. Understanding the sub-seasonal variation in the wintertime AO spatial pattern from the viewpoint of El Niño-Southern Oscillation S. Hu et al. https://doi.org/10.1007/s00382-022-06533-5
2992. Multi‐season climate projections forecast declines in migratory monarch butterflies E. Zylstra et al. https://doi.org/10.1111/gcb.16349
2993. Spatio-temporal compounding of connected extreme events: Projection and hotspot identification M. Velpuri et al. https://doi.org/10.1016/j.envres.2023.116615
2994. Geographic isolation and climatic heterogeneity drive population differentiation of Rosa chinensis var. spontanea complex S. Li et al. https://doi.org/10.1111/plb.13521
2995. Adaptation strategies for winter wheat production at farmer fields under a changing climate: Employing crop and multiple global climate models M. Shoukat et al. https://doi.org/10.1016/j.agsy.2024.104066
2996. Application of Topological Data Analysis to Multi-Resolution Matching of Aerosol Optical Depth Maps D. Ofori-Boateng et al. https://doi.org/10.3389/fenvs.2021.684716
2997. Long-term forest-sector mitigation and radiative forcing under contrasting management, climate, and substitution pathways I. Boukhris et al. https://doi.org/10.1016/j.jenvman.2026.129586
2998. Spatial datasets of CMIP6 climate change projections for Canada and the United States D. McKenney et al. https://doi.org/10.1016/j.dib.2024.111246
2999. Trends in Rainfall-Temperature Projections in Upper Bernam River Basin Using CMIP6 Scenarios in Malaysia M. Zakari et al. https://doi.org/10.32604/rig.2025.065835
3000. Emergent Constraint on the Projection of Compound Dry and Hot Events in Guangdong Province by CMIP6 Models L. Peng et al. https://doi.org/10.3390/atmos17030327
3001. Climate and Land Use Changes Impact the Future of European Amphibian Functional Diversity K. Proios et al. https://doi.org/10.3390/land13081206
3002. Fast climate impact emulation for global temperature scenarios with the rapid impact model emulator (RIME) E. Byers et al. https://doi.org/10.1088/2752-5295/adee3d
3003. Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects M. Stockhause et al. https://doi.org/10.1371/journal.pclm.0000533
3004. Century-long column ozone records show that chemical and dynamical influences counteract each other S. Brönnimann https://doi.org/10.1038/s43247-022-00472-z
3005. An attribution study of the impactful extreme heat across Asia in 2024 C. Marghidan et al. https://doi.org/10.1016/j.wace.2026.100919
3006. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. https://doi.org/10.3390/w13111573
3007. Assessment of sowing environment for wheat cultivars and evaluation of growing degree days for phenological stages in the Northwest Himalayan region of Himachal Pradesh G. Singh et al. https://doi.org/10.1007/s42452-024-06290-6
3008. Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels P. Ji et al. https://doi.org/10.5194/hess-24-5439-2020
3009. European summer precipitation B. Steensen et al. https://doi.org/10.5194/acp-26-2041-2026
3010. Evaluation of machine learning models for streamflow projections under different greenhouse gas emission scenarios A. Pala et al. https://doi.org/10.1016/j.jer.2025.06.006
3011. Asian zonal-dipole climate extremes in 2022 and 2025: role of upper-tropospheric zonal flow C. He et al. https://doi.org/10.1088/1748-9326/ae6c3c
3012. Intensification of Mesoscale Convective Systems in the East Asian Rainband Over the Past Two Decades P. Li et al. https://doi.org/10.1029/2023GL103595
3013. Projected expansion in two influenza-susceptible birds' distribution under climate and land-cover changes on the Qinghai-Tibetan Plateau X. Wei et al. https://doi.org/10.1016/j.gecco.2024.e03305
3014. Persistent Model Biases in the CMIP6 Representation of Stratospheric Polar Vortex Variability R. Hall et al. https://doi.org/10.1029/2021JD034759
3015. The Effect of Global Warming on Future Water Availability: CMIP5 Synthesis C. Ferguson et al. https://doi.org/10.1029/2018WR022792
3016. Drivers and Management of Nutrient Overload in Dams: Insights from Roodeplaat Dam, South Africa S. Mnyango et al. https://doi.org/10.3390/hydrology12030057
3017. Orographic resolution driving the improvements associated with horizontal resolution increase in the Northern Hemisphere winter mid-latitudes P. Davini et al. https://doi.org/10.5194/wcd-3-535-2022
3018. The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan M. Kageyama et al. https://doi.org/10.5194/gmd-11-1033-2018
3019. Historical and future projections of southwest monsoon rainfall extremes: a comprehensive study using CMIP6 simulations H. Varikoden et al. https://doi.org/10.1016/j.atmosres.2024.107870
3020. Land water availability altered by historical land use and land cover change T. Tang et al. https://doi.org/10.1038/s41612-025-01111-y
3021. Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang, China X. Zhang et al. https://doi.org/10.1016/j.aosl.2021.100128
3022. Emergent temperature sensitivity of soil organic carbon driven by mineral associations K. Georgiou et al. https://doi.org/10.1038/s41561-024-01384-7
3023. Modeling the species occurrence probability and response of climate change on Himalayan Somalata plant under different Shared Socioeconomic Pathways A. Anand & V. Garg https://doi.org/10.1007/s10661-024-12824-7
3024. Imbalances in climate outcomes in net-zero pathways with fossil fuel CO2 emissions and reforestation-based CO2 removals A. MacIsaac et al. https://doi.org/10.1038/s43247-026-03329-x
3025. Impacts of Madden–Julian oscillation on tropical cyclone activity over the South China Sea: Observations versus HiRAM simulations L. Dao & J. Yu https://doi.org/10.1002/joc.6673
3026. Towards provision of regularly updated climate data from the Coupled Model Intercomparison Project H. Hewitt et al. https://doi.org/10.1371/journal.pclm.0000708
3027. The interdecadal Pacific oscillation drives an extratropical tripole pattern in northern hemisphere summer rainfall anomalies Z. Tang et al. https://doi.org/10.1016/j.atmosres.2026.109027
3028. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al. https://doi.org/10.5194/gmd-16-4715-2023
3029. Atlantic multidecadal variability control on European sea surface temperatures is mainly externally forced L. Barghorn et al. https://doi.org/10.1088/1748-9326/adb6bf
3030. Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning Y. Ren et al. https://doi.org/10.1016/j.jenvman.2025.126123
3031. Spatiotemporal Evaluation and Future Projection of Diurnal Temperature Range over the Tibetan Plateau in CMIP6 Models S. Zhang et al. https://doi.org/10.1007/s00376-024-3346-0
3032. Contrasting influences of biogeophysical and biogeochemical impacts of historical land use on global economic inequality S. Liu et al. https://doi.org/10.1038/s41467-022-30145-6
3033. Enhanced risk of hot extremes revealed by observation-constrained model projections C. Simolo & S. Corti https://doi.org/10.1038/s43247-025-02133-3
3034. Decline in The Potential Distribution of Fern Species Under Climate Change Scenarios D. Silva et al. https://doi.org/10.24857/rgsa.v18n7-029
3035. Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments A. Ruane et al. https://doi.org/10.3354/cr01520
3036. Extreme temperatures detection and attribution related to external forcing in Madagascar L. Randriamarolaza et al. https://doi.org/10.1002/joc.8065
3037. Drought dynamics explain once in a century yellow fever virus outbreak in Brazil with implications for climate change J. Caldwell et al. https://doi.org/10.1126/sciadv.adz6832
3038. Climate change projections and hydrological modelling to predict the streamflow in Berach-Banas catchment, Rajasthan K. Pareta & Y. Dashora https://doi.org/10.1007/s43832-025-00208-y
3039. Bayesian weighting of climate models based on climate sensitivity E. Massoud et al. https://doi.org/10.1038/s43247-023-01009-8
3040. Air Temperature Changes in the Azov–Black Sea Region in 1940–2099 according to Observations, Reanalyses, and CMIP6 Models I. Serykh & S. Krasheninnikova https://doi.org/10.3103/S106837392601005X
3041. Incorporating Weather Attribution to Future Water Budget Projections N. Martin https://doi.org/10.3390/hydrology10120219
3042. A Spatial Evaluation of Arctic Sea Ice and Regional Limitations in CMIP6 Historical Simulations M. Watts et al. https://doi.org/10.1175/JCLI-D-20-0491.1
3043. Forecasting Habitat Shifts in Euro-Mediterranean Orchids Protected Under Directive 92/43/EEC G. Ferreiro-Lera et al. https://doi.org/10.3390/d18050287
3044. Potential geographic distribution of relict plant Pteroceltis tatarinowii in China under climate change scenarios J. Yang et al. https://doi.org/10.1371/journal.pone.0266133
3045. Precipitation variability in CMIP6 climate models across the North Atlantic–European region and their Links to Atmospheric Circulation E. Plavcová et al. https://doi.org/10.1007/s00382-024-07556-w
3046. Evaluation of CMIP6 model skill in capturing the combined and independent influences of the IOD and ENSO on Australian rainfall during JJASON T. Thambipillai et al. https://doi.org/10.1007/s00382-025-07929-9
3047. Water vapour isotope anomalies during an atmospheric river event at Dome C, East Antarctica N. Dutrievoz et al. https://doi.org/10.5194/tc-20-1025-2026
3048. Rising vegetation activity dominates growing water use efficiency in the Asian permafrost region from 1900 to 2100 F. Yuan et al. https://doi.org/10.1016/j.scitotenv.2020.139587
3049. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. https://doi.org/10.1029/2021JD035483
3050. Significantly wetter or drier future conditions for one to two thirds of the world’s population R. Trancoso et al. https://doi.org/10.1038/s41467-023-44513-3
3051. Modelling of hydrological and environmental flow dynamics over a central Himalayan river basin through satellite altimetry and recent climate projections N. Kumar et al. https://doi.org/10.1002/joc.7734
3052. Extreme weather and cascading photovoltaic power vulnerabilities under climate change P. Adigun et al. https://doi.org/10.1016/j.seta.2025.104776
3053. Improvement of evapotranspiration simulation in a physically based ecohydrological model for the groundwater–soil–plant–atmosphere continuum K. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128440
3054. Variation in the Impact of ENSO on the Western Pacific Pattern Influenced by ENSO Amplitude in CMIP6 Simulations H. Aru et al. https://doi.org/10.1029/2022JD037905
3055. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. https://doi.org/10.1029/2022MS003588
3056. More high-impact atmospheric river-induced extreme precipitation events under warming in a high-resolution model X. Guo et al. https://doi.org/10.1016/j.oneear.2024.11.009
3057. Predicting the contribution of climate change on North Atlantic underwater sound propagation L. Possenti et al. https://doi.org/10.7717/peerj.16208
3058. Beaufort sea ice loss contributes to enhanced health exposure to fire weather over Southeast Asia G. Liu et al. https://doi.org/10.1038/s41612-025-00954-9
3059. Constraining human contributions to observed warming since the pre-industrial period N. Gillett et al. https://doi.org/10.1038/s41558-020-00965-9
3060. Projection of climate change impacts on extreme temperature and precipitation in Central Poland B. Ghazi et al. https://doi.org/10.1038/s41598-023-46199-5
3061. Future tropospheric ozone budget and distribution over east Asia under a net-zero scenario X. Hou et al. https://doi.org/10.5194/acp-23-15395-2023
3062. On the Analysis of the Performance of WRF and NICAM in a Hyperarid Environment R. Fonseca et al. https://doi.org/10.1175/WAF-D-19-0210.1
3063. Evaluation and Projection of Extreme High Temperature Indices in Southwestern China Using NEX-GDDP-CMIP6 F. Zhang et al. https://doi.org/10.1007/s13351-024-3059-4
3064. North Atlantic subpolar gyre provides downstream ocean predictability H. Fan et al. https://doi.org/10.1038/s41612-023-00469-1
3065. Projected changes in population exposure to extreme precipitation events over Central Africa under the global warming levels of 1.5 °C and 2 °C: insights from CMIP6 simulations Z. Ngavom et al. https://doi.org/10.1007/s40808-024-02091-3
3066. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. https://doi.org/10.1029/2021MS002814
3067. Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study V. Shevchenko et al. https://doi.org/10.1109/ACCESS.2024.3358865
3068. Antarctic sub-shelf melt rates via PICO R. Reese et al. https://doi.org/10.5194/tc-12-1969-2018
3069. Daytime–nighttime asymmetry of UTCI changes in Northwest China during 1964–2023 C. Deng et al. https://doi.org/10.1016/j.accre.2026.07.001
3070. Global assessment of the distribution and conservation status of a key medicinal plant (Artemisia annua L.): The roles of climate and anthropogenic activities D. Wang et al. https://doi.org/10.1016/j.scitotenv.2022.153378
3071. Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution P. Yang et al. https://doi.org/10.1021/acs.est.1c07747
3072. Detection of climate change signals using precipitation and temperature time series by a hybrid deep learning framework M. Waqas et al. https://doi.org/10.1007/s10661-025-14712-0
3073. Sea ice feedbacks cause more greenhouse cooling than greenhouse warming at high northern latitudes on multi-century timescales J. Kay et al. https://doi.org/10.1088/2752-5295/ad8026
3074. Improved Decadal Predictions of North Atlantic Subpolar Gyre SST in CMIP6 L. Borchert et al. https://doi.org/10.1029/2020GL091307
3075. Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al. https://doi.org/10.1007/s11069-023-06017-7
3076. Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling C. Sharma et al. https://doi.org/10.1016/j.gsf.2026.102336
3077. Future changes in spatially compounding hot, wet or dry events and their implications for the world’s breadbasket regions B. Biess et al. https://doi.org/10.1088/1748-9326/ad4619
3078. India's Drought Challenge: Insights From CMIP6 Models on Historical and Future Climate Scenarios R. Bhatla et al. https://doi.org/10.1002/joc.70075
3079. Mitigating agricultural risk under future climate: assessing maize cycle and yield in Brazil T. dos Santos Dias et al. https://doi.org/10.1007/s00704-025-05732-4
3080. Impact of climate change on renewable energy systems in buildings of subtropical desert areas: A stochastic optimization approach F. Souayfane et al. https://doi.org/10.1016/j.enconman.2026.121308
3081. STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations A. Snyder et al. https://doi.org/10.21105/joss.05525
3082. Projecting climate-driven shifts in demersal fish thermal habitat in Iceland's waters J. Mason et al. https://doi.org/10.1093/icesjms/fsab230
3083. Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate C. He et al. https://doi.org/10.1038/s41467-026-69783-5
3084. An evaluation of CMIP5 and CMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain D. Khadka et al. https://doi.org/10.1002/joc.7296
3085. Development of intensity–duration–frequency relationships in Khon Kaen City, Thailand under changing climate using GCMs and a simple scaling method K. Tedprasith & W. Lohpaisankrit https://doi.org/10.2166/wcc.2024.533
3086. Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia A. Saha et al. https://doi.org/10.1038/s41597-025-06149-4
3087. Competitive exclusion theory predicts the ecological niches of three congeneric endemic crayfish species S. Burgett et al. https://doi.org/10.1007/s10750-025-05988-x
3088. Influence of Decadal Ocean Signals on Meteorological Conditions Associated With the Winter Haze Over Eastern China W. Zhang et al. https://doi.org/10.3389/fenvs.2021.727180
3089. Causes of Dimming and Brightening in China Inferred from Homogenized Daily Clear-Sky and All-Sky in situ Surface Solar Radiation Records (1958–2016) S. Yang et al. https://doi.org/10.1175/JCLI-D-18-0666.1
3090. Climate-Land-Energy-Water Nexus Models Across Scales: Progress, Gaps and Best Accessibility Practices A. Vinca et al. https://doi.org/10.3389/fenvs.2021.691523
3091. An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
3092. Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends J. Kang et al. https://doi.org/10.1038/s41612-024-00801-3
3093. Specification and Verification for Climate Modeling: Formalization Leading to Impactful Tooling A. Altuntas et al. https://doi.org/10.4204/EPTCS.432.8
3094. Random forest-based species distribution modeling reveals intensifying multi-species invasion risks of alien plants in Ethiopia under climate change K. Yasin et al. https://doi.org/10.1016/j.rsase.2026.101869
3095. Insights into the North Hemisphere daily snowpack at high resolution from the new Crocus–ERA5 product S. Ramos Buarque et al. https://doi.org/10.5194/essd-17-7227-2025
3096. Influence of the North Pacific Victoria Mode on the Spring Persistence Barrier of ENSO L. Shi et al. https://doi.org/10.1029/2021JD036206
3097. Evaluation of CMIP6 models in simulating seasonal extreme precipitation over Ethiopia D. Berhanu et al. https://doi.org/10.1016/j.wace.2025.100752
3098. Probabilistic downscaling of multi-hazard climate extremes for engineering applications using conditional diffusion models D. Lin et al. https://doi.org/10.1016/j.istruc.2026.111783
3099. The representation of dry-season low-level clouds over Western Equatorial Africa in reanalyses and historical CMIP6 simulations P. Camberlin et al. https://doi.org/10.1007/s00382-023-06714-w
3100. Elevation dependency of snowfall changes under climate change over the Tibetan Plateau: Evidence from CMIP6 GCMs Y. Gao et al. https://doi.org/10.1016/j.atmosres.2024.107832
3101. Pre-industrial and future shifts in seasonal precipitation climatology for large river basins across the continental U.S.A K. Sung & J. Stagge https://doi.org/10.1088/2515-7620/ade51f
3102. Under pressure: assessing the vulnerability of two wetland birds to climate change T. Wagener et al. https://doi.org/10.1016/j.jnc.2026.127254
3103. Downscaling CMIP6 climate projections to classify the future offshore wind energy resource in the Spanish territorial waters B. Thomas et al. https://doi.org/10.1016/j.jclepro.2023.139860
3104. Anthropogenic–biogenic interaction amplifies warming from emission reduction over the southeastern US Y. Liu et al. https://doi.org/10.1088/1748-9326/ac3285
3105. Weather and climate extremes in a changing Arctic X. Zhang et al. https://doi.org/10.1038/s43017-025-00724-4
3106. Climate downscaling for regional models with a neural network: A Hawaiian example G. Liu et al. https://doi.org/10.1016/j.pocean.2023.103047
3107. Machine learning-based streamflow projections in the upper indus basin under CMIP6 climate scenarios M. Saleem et al. https://doi.org/10.1016/j.pce.2025.104035
3108. Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. https://doi.org/10.5194/esd-15-1301-2024
3109. Projected Meteorological Drought in Mexico Under CMIP6 Scenarios: Insights into Future Trends and Severity J. Velázquez-Zapata & R. Dávila-Ortiz https://doi.org/10.3390/geosciences15050186
3110. An improved model‐based analogue forecasting for the prediction of the tropical Indo‐Pacific Sea surface temperature in a coupled climate model Y. Wang et al. https://doi.org/10.1002/joc.6584
3111. Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis P. Kushwaha et al. https://doi.org/10.2166/wcc.2024.523
3112. The Model Forest Ensemble Kalman Filter A. Popov & A. Sandu https://doi.org/10.1137/25M1792943
3113. Planetary health as a laboratory for enhanced evidence synthesis J. Minx et al. https://doi.org/10.1016/S2542-5196(19)30216-5
3114. Sub-National Population Projections for Mexico Under the Shared Socioeconomic Pathways (SSPs) in the Context of Climate Change R. Regules García et al. https://doi.org/10.1007/s11113-024-09888-1
3115. Influences of Antarctic Ozone Depletion on Southern Ocean Aerosols Y. Bhatti et al. https://doi.org/10.1029/2022JD037199
3116. Future changes in sea surface temperature in the East Asian Marginal Seas projected by CMIP6 models H. Jung et al. https://doi.org/10.20481/kscdp.2024.11.4.123
3117. Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs V. Gupta et al. https://doi.org/10.1016/j.jhydrol.2020.125422
3118. Distributional projections of an Amazonian fish in native and non-native watersheds of South America in response to climate change V. Ferreira et al. https://doi.org/10.1007/s10530-025-03655-9
3119. Geographical bias in physiological data limits predictions of global change impacts C. White et al. https://doi.org/10.1111/1365-2435.13807
3120. Projected Effects of Climate Change on the Energy Footprints of U.S. Drinking Water Utilities R. Sowby & R. Hales https://doi.org/10.3390/hydrology9100182
3121. SWAT and CMIP6-driven hydro-climate modeling of future flood risks and vegetation dynamics in the White Oak Bayou Watershed, United States S. Marshall et al. https://doi.org/10.1007/s41748-025-00621-2
3122. Construction of an ecological model of Sambucus javanica blume in China under different climate scenarios based on maxent model J. Liao et al. https://doi.org/10.1007/s11258-023-01291-8
3123. Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble F. Lehner et al. https://doi.org/10.1002/joc.8623
3124. Investigating the Performance of CMIP6 Seasonal Precipitation Predictions and a Grid Based Model Heterogeneity Oriented Deep Learning Bias Correction Framework B. Huang et al. https://doi.org/10.1029/2023JD039046
3125. Global potential distributions and conservation status of rice wild relatives Y. Lin et al. https://doi.org/10.1002/ppp3.10522
3126. The large role of declining atmospheric sulfate deposition and rising CO 2 concentrations in stimulating future wetland CH 4 emissions L. Shen et al. https://doi.org/10.1126/sciadv.adn1056
3127. Assessment of Climate Change Impact on Water Requirement and Rice Productivity K. N’guessan et al. https://doi.org/10.1016/j.rsci.2023.03.010
3128. Will population exposure to heat extremes intensify over Southeast Asia in a warmer world? X. Sun et al. https://doi.org/10.1088/1748-9326/ac48b6
3129. 2023 temperatures reflect steady global warming and internal sea surface temperature variability B. Samset et al. https://doi.org/10.1038/s43247-024-01637-8
3130. Analog data assimilation for the selection of suitable general circulation models J. Ruiz et al. https://doi.org/10.5194/gmd-15-7203-2022
3131. Key to ENSO phase-locking simulation: effects of sea surface temperature diurnal amplitude X. Yang et al. https://doi.org/10.1038/s41612-023-00483-3
3132. Model Uncertainty in the Projected Indian Summer Monsoon Precipitation Change under Low-Emission Scenarios S. Long & G. Li https://doi.org/10.3390/atmos12020248
3133. Confirming the substantial contribution of ozone-depleting halocarbon emissions to global warming during the second half of the 20th century M. Friedel et al. https://doi.org/10.1038/s41612-026-01398-5
3134. Identifying assets exposed to physical climate risk: A decision-support methodology J. Bertrand et al. https://doi.org/10.1016/j.ijpe.2024.109355
3135. Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity T. Myers et al. https://doi.org/10.1038/s41558-021-01039-0
3136. Non-stationary low flow frequency analysis under climate change M. Yılmaz & F. Tosunoğlu https://doi.org/10.1007/s00704-024-05081-8
3137. Future Changes in Hydro-Climatic Extremes across Vietnam: Evidence from a Semi-Distributed Hydrological Model Forced by Downscaled CMIP6 Climate Data H. Do et al. https://doi.org/10.3390/w16050674
3138. Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. https://doi.org/10.1029/2020EA001241
3139. Northern Hemisphere Sudden Stratospheric Warming and Its Downward Impact in Four Chinese CMIP6 Models J. Rao et al. https://doi.org/10.1007/s00376-020-0250-0
3140. Dynamics of caspian ice in the context of climate change and the prospects for sea ice cover with implications for the habitat of Caspian seals Z. Naurozbayeva et al. https://doi.org/10.2166/wcc.2026.200
3141. Antarctic ice-shelf basal melt shaped by competing feedbacks M. Youngs et al. https://doi.org/10.1038/s41561-026-01975-6
3142. Increased Summer European Heatwaves in Recent Decades: Contributions From Greenhouse Gases‐Induced Warming and Atlantic Multidecadal Oscillation‐Like Variations B. Luo et al. https://doi.org/10.1029/2023EF003701
3143. Historical Trend and Future Projection of Extreme Seasonal Precipitation over Ethiopia, East Africa D. Berhanu et al. https://doi.org/10.3390/cli14040088
3144. Multi-site evaluation of historical climate records and CMIP6 projections across the Mediterranean D. Secci et al. https://doi.org/10.1016/j.ejrh.2026.103713
3145. Projected shifts in dry–wet extremes and possible associated drivers over the Hindu Kush Himalaya P. Chaubey et al. https://doi.org/10.1080/19475705.2026.2692760
3146. Exploratory Precipitation Metrics: Spatiotemporal Characteristics, Process-Oriented, and Phenomena-Based L. Leung et al. https://doi.org/10.1175/JCLI-D-21-0590.1
3147. Selection of CMIP6 GCM with projection of climate over the Amu Darya River Basin O. Salehie et al. https://doi.org/10.1007/s00704-022-04332-w
3148. Northern Hemisphere stratospheric temperature response to external forcing in decadal climate simulations A. Fahad et al. https://doi.org/10.5194/acp-26-647-2026
3149. Implementation of Groundwater Lateral Flow and Human Water Regulation in CAS‐FGOALS‐g3 L. Wang et al. https://doi.org/10.1029/2019JD032289
3150. Marginal ice zone fraction benchmarks sea ice and climate model skill C. Horvat https://doi.org/10.1038/s41467-021-22004-7
3151. Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. https://doi.org/10.1029/2023GL103381
3152. Distinguishing Convective-Transition Moisture-Temperature Relationships with a Constellation of Polarimetric Radio Occultation Observations in and near Convection F. Turk et al. https://doi.org/10.3390/atmos13020259
3153. The Impact of CO2-Driven Climate Change on the Arctic Atmospheric Energy Budget in CMIP6 Climate Model Simulations O. Linke & J. Quaas https://doi.org/10.16993/tellusa.29
3154. Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals G. Di Virgilio et al. https://doi.org/10.1029/2021EF002625
3155. Investigating future Komodo dragon habitat alteration in the human-dominated landscape A. Yudistira et al. https://doi.org/10.5141/jee.25.064
3156. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
3157. Improvements and persistent biases in the southeast tropical Atlantic in CMIP models R. Farneti et al. https://doi.org/10.1038/s41612-022-00264-4
3158. Utility of Open-Access Long-Term Precipitation Data Products for Correcting Climate Model Projection in South China D. Cao et al. https://doi.org/10.3390/w15162906
3159. Interbasin Interactions between the Pacific and Atlantic Oceans Depending on the Phase of Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation J. Hong et al. https://doi.org/10.1175/JCLI-D-21-0408.1
3160. Weakening of subsurface ocean temperature seasonality over the past four decades F. Liu et al. https://doi.org/10.1038/s43247-024-01986-4
3161. Impact of model resolution on the representation of the air–sea interaction associated with the North Water Polynya G. Moore & K. Våge https://doi.org/10.1002/qj.3295
3162. North Atlantic circulation and climate variability during the last glacial maximum and the last interglacial: insights from CMIP6/PMIP4 climate models D. Chinnaswamy et al. https://doi.org/10.1007/s00382-026-08278-x
3163. Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. https://doi.org/10.1371/journal.pclm.0000159
3164. The impact of ice structures and ocean warming in Milne Fiord J. Bonneau et al. https://doi.org/10.5194/tc-19-2615-2025
3165. How short climate records affect GEV-based estimates of rare event probabilities R. Patel & T. Schneider https://doi.org/10.1088/2752-5295/ae71fb
3166. Theory and the future of land-climate science M. Byrne et al. https://doi.org/10.1038/s41561-024-01553-8
3167. The Anomalous Mei-yu Rainfall of Summer 2020 from a Circulation Clustering Perspective: Current and Possible Future Prevalence R. Clark et al. https://doi.org/10.1007/s00376-021-1086-y
3168. Assessment of the Current and Projected Conditions of Water Availability in the Sevastopol Region for Grape Growing E. Vyshkvarkova et al. https://doi.org/10.3390/agronomy11081665
3169. Evaluation of Extreme Climate Indices over the Three Northeastern Provinces of China Based on CMIP6 Models Outputs H. Xiao et al. https://doi.org/10.3390/w15223895
3170. Large language models for climate vulnerability assessment: a reproducible framework with uncertainty quantification A. Zhang & H. Li https://doi.org/10.3389/feart.2026.1792665
3171. Wild relatives of potato may bolster its adaptation to new niches under future climate scenarios N. Fumia et al. https://doi.org/10.1002/fes3.360
3172. The biological carbon pump in CMIP6 models: 21st century trends and uncertainties J. Wilson et al. https://doi.org/10.1073/pnas.2204369119
3173. On the foundations of Earth foundation models X. Zhu et al. https://doi.org/10.1038/s43247-025-03127-x
3174. Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation Y. Zhao et al. https://doi.org/10.1007/s00382-021-05991-7
3175. Differential impacts of climate change on specialist butterflies and their host plants L. Wieringa et al. https://doi.org/10.1016/j.gecco.2026.e04400
3176. Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally N. Ma et al. https://doi.org/10.1029/2021WR029691
3177. Counteracting greenhouse gas and aerosol influences intensify global water seasonality over the past century F. Zhao et al. https://doi.org/10.1038/s43247-025-02025-6
3178. Multi-decadal streamflow projections for catchments in Brazil based on CMIP6 multi-model simulations and neural network embeddings for linear regression models M. Scheuerer et al. https://doi.org/10.5194/hess-29-5099-2025
3179. Contrasting internally and externally generated Atlantic Multidecadal Variability and the role for AMOC in CMIP6 historical simulations J. Robson et al. https://doi.org/10.1098/rsta.2022.0194
3180. Advanced hydrological assessment with SWAT+ under climate change: An integrated framework over large climate-sensitive and reservoir-regulated watershed D. Mishra et al. https://doi.org/10.1016/j.scitotenv.2025.180062
3181. Simulations of ocean deoxygenation in the historical era: insights from forced and coupled models Y. Takano et al. https://doi.org/10.3389/fmars.2023.1139917
3182. Frequent but Predictable Droughts in East Africa Driven by a Walker Circulation Intensification C. Funk et al. https://doi.org/10.1029/2022EF003454
3183. Inception UNet (IUNet) and multi-scale multi-branch (M&M) UNet plug-in neural operators for online bias correction in E3SM atmosphere model A. Bora et al. https://doi.org/10.1016/j.jcp.2026.115294
3184. Evaluation and Projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models D. Sardana et al. https://doi.org/10.1007/s00382-025-07646-3
3185. Large-scale sea ice–Surface temperature variability linked to Atlantic meridional overturning circulation P. Vaideanu et al. https://doi.org/10.1371/journal.pone.0290437
3186. Important non-local effects of deforestation on cloud cover changes in CMIP6 models W. Hua et al. https://doi.org/10.1088/1748-9326/acf232
3187. Canadian snow and sea ice: historical trends and projections L. Mudryk et al. https://doi.org/10.5194/tc-12-1157-2018
3188. El Niño/Southern Oscillation inhibited by submesoscale ocean eddies S. Wang et al. https://doi.org/10.1038/s41561-021-00890-2
3189. A 21st century shift in the mechanisms of the early-winter United States snowfall variability S. Liu & S. Hu https://doi.org/10.1088/1748-9326/ad4e4d
3190. Statistical properties of multi-year droughts in climate models and observations with corresponding theoretical estimates S. Power & Z. Gillett https://doi.org/10.1007/s00382-025-07632-9
3191. Integrated Assessment of Climate-Driven Streamflow Changes in a Transboundary Lake Basin Using CMIP6-SWAT+-BMA: A Sustainability Perspective F. Xiao et al. https://doi.org/10.3390/su17177901
3192. Spatial assessment of land use compensation potential for climate-based soil organic carbon stock losses in Poland by 2050 J. Coblinski & S. Pindral https://doi.org/10.1016/j.agee.2026.110559
3193. Indian heatwaves in a future climate with varying hazard thresholds K. Rao et al. https://doi.org/10.1088/2752-5295/acb077
3194. The contribution of anthropogenic influence to more anomalous extreme precipitation in Europe H. Tabari et al. https://doi.org/10.1088/1748-9326/abb268
3195. Forecasting the Distribution of a Range-Expanding Bat Reveals Future Response to Climate Change and Habitat M. True et al. https://doi.org/10.3161/15081109ACC2021.23.1.011
3196. Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models J. Ma et al. https://doi.org/10.1080/17538947.2022.2142307
3197. The interdecadal variations and causes of the relationship between Autumn Precipitation Anomalies in Eastern China and SSTA over the Southeastern tropical Indian Ocean L. Huo et al. https://doi.org/10.1007/s00382-022-06348-4
3198. Future Projections of Extreme Integrated Water Vapor Transport and Population Exposure Over the Asian Monsoon Region L. Guo et al. https://doi.org/10.1029/2023EF003583
3199. Bias-corrected high-resolution temperature and precipitation projections for Canada H. Abdelmoaty et al. https://doi.org/10.1038/s41597-025-04396-z
3200. Projected hydroclimatic changes in Xinjiang under bias-corrected CMIP6 scenarios Y. Xu et al. https://doi.org/10.3389/fpls.2025.1679735
3201. Hotspots and drivers of compound marine heatwaves and low net primary production extremes N. Le Grix et al. https://doi.org/10.5194/bg-19-5807-2022
3202. Enhanced marine burial of terrestrial organic carbon through the Palaeocene–Eocene Thermal Maximum G. Inglis et al. https://doi.org/10.1038/s41561-026-02012-2
3203. Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al. https://doi.org/10.5194/esd-16-607-2025
3204. Insights from CMIP6 SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin Z. Zhou et al. https://doi.org/10.1016/j.scitotenv.2023.165618
3205. A revisit of the linearity in the combined effect of ENSO and QBO on the stratosphere: model evidence from CMIP5/6 H. Wang et al. https://doi.org/10.1007/s00382-024-07430-9
3206. Analyzing the spatiotemporal distribution of climate extremes under the CMIP6 climate model in the upper Blue Nile Basin, Ethiopia F. Enyew et al. https://doi.org/10.1007/s11069-026-07998-x
3207. Urban Resilience of Shenzhen City under Climate Change W. Shao et al. https://doi.org/10.3390/atmos12050537
3208. Projected patterns of land uses in Africa under a warming climate I. Yahaya et al. https://doi.org/10.1038/s41598-024-61035-0
3209. Future climate change shaped by inter-model differences in Atlantic meridional overturning circulation response K. Bellomo et al. https://doi.org/10.1038/s41467-021-24015-w
3210. Advancements and continued challenges in observations and global modelling of atmospheric ice mass P. Eriksson et al. https://doi.org/10.5194/acp-26-2741-2026
3211. Verification Data and the Skill of Decadal Predictions G. Boer et al. https://doi.org/10.3389/fclim.2022.836817
3212. Enhanced global carbon cycle sensitivity to tropical temperature linked to internal climate variability N. Li et al. https://doi.org/10.1126/sciadv.adl6155
3213. Evolution characteristics and causes of melt ponds in the Arctic Ocean X. Fang & L. Zhang https://doi.org/10.1007/s13131-024-2390-z
3214. Increasing Causal Effects of El Niño–Southern Oscillation on the Future Carbon Cycle of Terrestrial Ecosystems T. Le et al. https://doi.org/10.1029/2021GL095804
3215. Responses of the East Asian Winter Climate to Global Warming in CMIP6 Models Y. Jiang et al. https://doi.org/10.3390/atmos16101143
3216. Projected changes in extreme waves and coastal hazards along the North Indian Ocean Coast utilizing high-resolution CMIP6 wave ensemble . Arju et al. https://doi.org/10.1016/j.oceaneng.2026.128371
3217. Response of atmospheric pCO$$_2$$ to a strong AMOC weakening under low and high emission scenarios A. Boot et al. https://doi.org/10.1007/s00382-024-07295-y
3218. SAGE III/ISS aerosol/cloud categorization and its impact on GloSSAC M. Kovilakam et al. https://doi.org/10.5194/amt-16-2709-2023
3219. Understanding the influence of “hot” models in climate impact studies: a hydrological perspective M. Rahimpour Asenjan et al. https://doi.org/10.5194/hess-27-4355-2023
3220. Decomposing the response of the stratospheric Brewer–Dobson circulation to an abrupt quadrupling in CO2 A. Chrysanthou et al. https://doi.org/10.5194/wcd-1-155-2020
3221. Downscaling the probability of heavy rainfall over the Nordic countries R. Benestad et al. https://doi.org/10.5194/hess-29-45-2025
3222. The impact of Arctic sea‐ice loss on winter weather in the British Isles S. Hay et al. https://doi.org/10.1002/qj.70012
3223. Attribution of observed changes in extreme temperatures to anthropogenic forcing using CMIP6 models M. Engdaw et al. https://doi.org/10.1016/j.wace.2023.100548
3224. Unlocking the benefits of transparent and reusable science for climate risk management A. Pollack et al. https://doi.org/10.1073/pnas.2422157123
3225. Process-based modeling of jack pine productivity and climatic thresholds in the Canadian boreal forest N. Mehdipour & R. Yousefpour https://doi.org/10.1080/02827581.2026.2718878
3226. Future extreme precipitation amplified by intensified mesoscale moisture convergence P. Chang et al. https://doi.org/10.1038/s41561-025-01859-1
3227. Habitat Suitability Modeling: A Tool for Restoring Butternut, Juglans cinerea L., in the Eastern United States S. Adeyemo et al. https://doi.org/10.1007/s44392-025-00057-6
3228. General circulation and global heat transport in a quadrupling CO2 pulse experiment S. An et al. https://doi.org/10.1038/s41598-022-15905-0
3229. Quantifying land carbon cycle feedbacks under negative CO2 emissions V. Chimuka et al. https://doi.org/10.5194/bg-20-2283-2023
3230. Avoidable heat-related mortality in China during the 21st century G. Zhang et al. https://doi.org/10.1038/s41612-023-00404-4
3231. Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs K. Karan et al. https://doi.org/10.1007/s40333-022-0081-1
3232. Large Contribution of Ozone‐Depleting Substances to Global and Arctic Warming in the Late 20th Century M. Sigmond et al. https://doi.org/10.1029/2022GL100563
3233. The temporal, spatial and population heterogeneity of the associations between ambient temperature and injury by animal in China: A nationwide case-crossover study W. Zeng et al. https://doi.org/10.1016/j.ecoenv.2025.118206
3234. Assessing future wheat evapotranspiration dynamics in the Kermanshah plain using CMIP6 and GEESEBAL: integration of SSP scenarios and machine learning-based projections N. Baboli et al. https://doi.org/10.1007/s13201-026-02915-w
3235. Taking stock: Is recovery of a depleted population possible in a changing climate? J. Langan et al. https://doi.org/10.1111/fog.12599
3236. An Evaluation of the Large‐Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models I. Simpson et al. https://doi.org/10.1029/2020JD032835
3237. Intensifying heat extremes in China attributed to rising greenhouse gases and declining aerosols since the 2010s A. Zou et al. https://doi.org/10.1088/1748-9326/adf2c0
3238. Future changes in precipitation extremes across China based on CMIP6 models H. Xu et al. https://doi.org/10.1002/joc.7264
3239. The Regional Aerosol Model Intercomparison Project (RAMIP) L. Wilcox et al. https://doi.org/10.5194/gmd-16-4451-2023
3240. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR) W. Müller et al. https://doi.org/10.1029/2017MS001217
3241. Responses of precipitation and water vapor budget on the Chinese Loess Plateau to global land cover change forcing L. Qiu et al. https://doi.org/10.1016/j.jenvman.2024.121588
3242. Pacific variability reconciles observed and modelled global mean temperature increase since 1950 M. Stolpe et al. https://doi.org/10.1007/s00382-020-05493-y
3243. Functionality of Ice Line Latitudinal EBM Tenacity (FILLET). Protocol Version 1.1 R. Barnes et al. https://doi.org/10.3847/PSJ/ae1c3c
3244. Snowmelt Runoff in the Yarlung Zangbo River Basin and Runoff Change in the Future H. Ji et al. https://doi.org/10.3390/rs15010055
3245. Continued Atlantic overturning circulation even under climate extremes J. Baker et al. https://doi.org/10.1038/s41586-024-08544-0
3246. Recent Climate Variability around the Kerguelen Islands (Southern Ocean) Seen through Weather Regimes B. Pohl et al. https://doi.org/10.1175/JAMC-D-20-0255.1
3247. Characteristics, drivers and feedbacks of global greening S. Piao et al. https://doi.org/10.1038/s43017-019-0001-x
3248. Evaluating tree-ring proxies for representing the ecosystem productivity in India A. Sarkar et al. https://doi.org/10.1007/s00484-024-02799-y
3249. Age-specific disparities in temperature-related injury risks and burdens among Chinese children K. Liang et al. https://doi.org/10.1016/j.envres.2026.123736
3250. Improved decadal predictions of East Asian summer monsoon with a weakly coupled data assimilation scheme F. Li et al. https://doi.org/10.1002/joc.7141
3251. What lies ahead? The future performance of Global South residential buildings amid climate change: A systematic literature review A. Cruz et al. https://doi.org/10.1016/j.jobe.2024.111486
3252. Understanding precipitation changes through unsupervised machine learning G. Mooers et al. https://doi.org/10.1017/eds.2024.1
3253. Warming-driven rise in soil moisture entropy signals growing instability risk in the Asian Water Tower Y. Xie et al. https://doi.org/10.1038/s41467-026-76955-w
3254. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 W. Collins et al. https://doi.org/10.5194/gmd-10-585-2017
3255. July–September rainfall in the Greater Horn of Africa: the combined influence of the Mascarene and South Atlantic highs E. Dyer et al. https://doi.org/10.1007/s00382-022-06287-0
3256. Stratospheric aerosol evolution after Pinatubo simulated with a coupled size-resolved aerosol–chemistry–climate model, SOCOL-AERv1.0 T. Sukhodolov et al. https://doi.org/10.5194/gmd-11-2633-2018
3257. Dynamic sea-level changes and potential implications for storm surges in the UK: a storylines perspective C. Bulgin et al. https://doi.org/10.1088/1748-9326/acc6df
3258. Accelerating earth science discovery via multi-agent LLM systems D. Pantiukhin et al. https://doi.org/10.3389/frai.2025.1674927
3259. Global and northern-high-latitude net ecosystem production in the 21st century from CMIP6 experiments H. Qiu et al. https://doi.org/10.5194/esd-14-1-2023
3260. The Contribution of Climate Change to Increasing Extreme Ocean Warming Around Japan M. Hayashi et al. https://doi.org/10.1029/2022GL100785
3261. Future Projection of Precipitation Bioclimatic Indicators over Southeast Asia Using CMIP6 M. Sobh et al. https://doi.org/10.3390/su142013596
3262. Impact of Extreme Heat on Cardiovascular Health in Kuwait: Present and Future Projections Y. Alwadi et al. https://doi.org/10.1007/s44197-024-00330-5
3263. Toward Earth system modeling with resolved clouds and ocean submesoscales on heterogeneous many-core HPCs S. Zhang et al. https://doi.org/10.1093/nsr/nwad069
3264. Evaluation of the CAMS-CSM Model in predicting a Northeast Cold Vortex Event at the early Onset of 2020 Mei-yu season D. Liu & L. Wang https://doi.org/10.1016/j.atmosres.2022.106430
3265. HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses K. Dorheim et al. https://doi.org/10.5194/gmd-14-365-2021
3266. NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. https://doi.org/10.5194/gmd-14-7073-2021
3267. Towards annual updating of forced warming to date and constrained climate projections A. Ribes et al. https://doi.org/10.1038/s41467-025-63026-9
3268. Predicting the global potential distribution of Bursaphelenchus xylophilus using an ecological niche model: expansion trend and the main driving factors Y. Xiao et al. https://doi.org/10.1186/s12862-024-02234-1
3269. Evaluation of the computational performance of the finite-volume atmospheric model of the IAP/LASG (FAMIL) on a high-performance computer J. LI et al. https://doi.org/10.1080/16742834.2017.1331111
3270. The observation range adjusted method: a novel approach to accounting for observation uncertainty in model evaluation J. Evans & H. Imran https://doi.org/10.1088/2515-7620/ad5ad8
3271. Differences and similarities in Indian monsoon response to aerosols and to land-use/land-cover change R. Puri & A. Giannini https://doi.org/10.1088/1748-9326/adcc43
3272. Small Municipalities in the Amazon under the Risk of Future Climate Change E. de Souza et al. https://doi.org/10.3390/cli12070095
3273. Coupled and Stand-Alone Regional Climate Modeling of Intensive Storms in Western Canada K. Gan et al. https://doi.org/10.1061/JHYEFF.HEENG-5872
3274. Simulating the mid-Holocene, last interglacial and mid-Pliocene climate with EC-Earth3-LR Q. Zhang et al. https://doi.org/10.5194/gmd-14-1147-2021
3275. Modeling the impact of climate change on wheat yield in Morocco based on stacked ensemble learning S. Eddamiri et al. https://doi.org/10.1007/s40808-024-02136-7
3276. Rarest rainfall events will see the greatest relative increase in magnitude under future climate change G. Gründemann et al. https://doi.org/10.1038/s43247-022-00558-8
3277. CMIP7 data request: impacts and adaptation priorities and opportunities A. Ruane et al. https://doi.org/10.5194/gmd-18-9497-2025
3278. Climate change impact on water supply and hydropower generation potential in Northern Manitoba S. Kim et al. https://doi.org/10.1016/j.ejrh.2022.101077
3279. Buoyancy and Wind Driven Changes in Subantarctic Mode Water During 2004–2019 L. Xu et al. https://doi.org/10.1029/2021GL092511
3280. Century-scale attribution and constrained projection of temperature extremes in eastern China T. Hu & Y. Sun https://doi.org/10.1088/1748-9326/ae2b87
3281. Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves K. Schlef et al. https://doi.org/10.1016/j.jhydrol.2022.128757
3282. Climate tracking by mountain bumblebees across a century: Distribution retreats, small refugia and elevational shifts P. Biella et al. https://doi.org/10.1016/j.gecco.2024.e03163
3283. The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. https://doi.org/10.1029/2022MS003156
3284. Metrics into management: which measures of landscape moisture best inform wildfire planning and response? J. Burton et al. https://doi.org/10.1071/WF25233
3285. Irrigation expansion–driven amplification of moist-heat stress in dry regions Y. Wu & J. Wang https://doi.org/10.1016/j.aosl.2026.100793
3286. Simulation of Northeast U.S. Extreme Precipitation and Its Associated Circulation by CMIP5 Models L. Agel et al. https://doi.org/10.1175/JCLI-D-19-0757.1
3287. Developmental Differentiations of Major Maize Stemborers Due to Global Warming in Temperate and Tropical Climates B. Régnier et al. https://doi.org/10.3390/insects14010051
3288. Historical and Projected Impact of Global Climate Change on the Extrinsic Incubation of Dirofilaria immitis P. Atkinson et al. https://doi.org/10.1002/ece3.72525
3289. Verification of a seeder–feeder orographic precipitation enhancement scheme accounting for low‐level blocking S. Smith et al. https://doi.org/10.1002/qj.3584
3290. Decoupling vegetation and soil-moisture interaction in evapotranspiration interannual variability X. Huang et al. https://doi.org/10.1016/j.isci.2025.113008
3291. Overstating the effects of anthropogenic climate change? A critical assessment of attribution methods in climate science L. García-Portela & D. Maraun https://doi.org/10.1007/s13194-023-00516-x
3292. Assessing the Potential Distribution of Oxalis latifolia, a Rapidly Spreading Weed, in East Asia under Global Climate Change A. Poudel et al. https://doi.org/10.3390/plants12183254
3293. Synergistic optimization of ecological supply–demand: Integrating urban green space ecosystem services and dual ecological demands across multiple scenarios G. Lin et al. https://doi.org/10.1016/j.ecolind.2025.114133
3294. Projection of compound wind and precipitation extremes in China based on Phase 6 of the Coupled Model Intercomparison Project models Y. Meng et al. https://doi.org/10.1002/joc.7922
3295. CMIP6 model performance in simulating three types of positive Indian Ocean Dipole and their future changes R. Zhang & Z. Zhou https://doi.org/10.1016/j.aosl.2026.100888
3296. Surface Temperature Changes Projected by FGOALS Models under Low Warming Scenarios in CMIP5 and CMIP6 S. Long et al. https://doi.org/10.1007/s00376-020-0177-5
3297. The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) contribution to CMIP6: investigation of sea-level and ocean climate change in response to CO2 forcing J. Gregory et al. https://doi.org/10.5194/gmd-9-3993-2016
3298. Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. https://doi.org/10.1029/2022JD038229
3299. Increased Uncertainty in Projections of Precipitation and Evaporation Due To Wet‐Get‐Wetter/Dry‐Get‐Drier Biases O. Adam et al. https://doi.org/10.1029/2023GL106365
3300. Impacts of predicted climate and vegetation changes on pastoral systems: Insights from eleven Mediterranean case studies M. Bianchini et al. https://doi.org/10.1016/j.ecoinf.2026.103842
3301. Predicted Global Redistribution of Pyrophilous Beetle Melanophila acuminata (Coleoptera: Buprestidae) Under Climate Change J. Wang et al. https://doi.org/10.1002/ece3.74317
3302. Global-scale prevalence of low nutrient use efficiency across major crops J. Liu et al. https://doi.org/10.1038/s41467-025-66019-w
3303. Differences between CMIP6 and CMIP5 Models in Simulating Climate over China and the East Asian Monsoon D. Jiang et al. https://doi.org/10.1007/s00376-020-2034-y
3304. Evaluating the performance of selected CMIP6 GCMs for simulations of historical temperature over Ethiopia A. Tagele et al. https://doi.org/10.1007/s00704-026-06066-5
3305. Decomposition of Pacific Decadal Oscillation using linear inverse models sheds light on its dominant modes and future response S. Wu et al. https://doi.org/10.1038/s41612-025-01315-2
3306. Emergency constraint-based CMIP6 predictions for future droughts on the Mongolian Plateau Y. Bole et al. https://doi.org/10.1016/j.jhydrol.2024.132156
3307. Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and Model Output for 1990–2017 M. DeLang et al. https://doi.org/10.1021/acs.est.0c07742
3308. Tropical Stratospheric Forcings Weaken the Response of the East Asian Winter Temperature to ENSO R. Zhang et al. https://doi.org/10.34133/olar.0001
3309. Downscaling approaches of climate change projections for watershed modeling: Review of theoretical and practical considerations A. Keller et al. https://doi.org/10.1371/journal.pwat.0000046
3310. Hemispheric contrast in summer season duration responses to CO2 removal B. Park et al. https://doi.org/10.1038/s43247-026-03548-2
3311. Historical greenhouse gas concentrations for climate modelling (CMIP6) M. Meinshausen et al. https://doi.org/10.5194/gmd-10-2057-2017
3312. Present-day warm pool constrains future tropical precipitation I. Park et al. https://doi.org/10.1038/s43247-022-00620-5
3313. Exponential increases in high-temperature extremes in North America A. Davariashtiyani et al. https://doi.org/10.1038/s41598-023-41347-3
3314. Assessment and Simulation of Urban Ecological Environment Quality Based on Geographic Information System Ecological Index L. Che et al. https://doi.org/10.3390/land13050687
3315. Seasonal Spatial Distribution Patterns of Abralia multihamata in the East China Sea Region: Predictions Under Various Climate Scenarios M. Xu et al. https://doi.org/10.3390/ani15070903
3316. Shellfish Aquaculture Complements Nutrient Reduction in Mitigating Climate-Exacerbated Coastal Hypoxia L. Yu et al. https://doi.org/10.1021/acs.est.5c06682
3317. CMIP6 models informed summer human thermal discomfort conditions in Indian regional hotspot K. Shukla & R. Attada https://doi.org/10.1038/s41598-023-38602-y
3318. Potato yield projections under climate change in Canada G. Jégo et al. https://doi.org/10.1002/agj2.70017
3319. Strengthening Dam Safety Under Climate Change: A Risk-Informed Overtopping Assessment W. Wan Ariffin et al. https://doi.org/10.3390/w17192856
3320. Objective Classification of Controlling Factors for the Occurrence of the Wide-spread Extreme Precipitation Events during the Baiu Season over Western Japan R. Shibuya et al. https://doi.org/10.2151/sola.2021-044
3321. Common Error Patterns in the Regional Atmospheric Circulation Simulated by the CMIP Multi‐Model Ensemble S. Brands https://doi.org/10.1029/2022GL101446
3322. Replicability in Earth System Models K. Keller et al. https://doi.org/10.5194/gmd-18-10221-2025
3323. Hierarchy of the Models of the Earth Climate System A. Eliseev https://doi.org/10.1007/s11141-025-10391-6
3324. Future climate prediction and projection: A systematic review of classical and advanced methodologies R. Sepaspour et al. https://doi.org/10.1007/s00704-025-05795-3
3325. Large inter-model spread in simulated aerosol load over Arctic sea ice B. Swain et al. https://doi.org/10.1038/s44407-026-00080-7
3326. Machine learning ensemble model prediction of northward shift in potato cyst nematodes (Globodera rostochiensis and G. pallida) distribution under climate change conditions Y. He et al. https://doi.org/10.1016/j.jia.2024.08.001
3327. Skillful decadal prediction for Northwest Pacific tropical cyclone activity Y. Xu et al. https://doi.org/10.1007/s00382-024-07281-4
3328. Limitation of super-resolution machine learning approach to precipitation downscaling P. Reddy et al. https://doi.org/10.1038/s41598-025-05880-7
3329. Compound droughts under climate change in Switzerland C. von Matt et al. https://doi.org/10.5194/nhess-24-1975-2024
3330. The impact of horizontal atmospheric resolution in modelling air–sea heat fluxes P. Wu et al. https://doi.org/10.1002/qj.3618
3331. Integrating remote sensing and site-specific data in forest planning: A multicriteria approach to prioritize forest restoration in Central Europe M. Axer et al. https://doi.org/10.1016/j.tfp.2025.101079
3332. Simulation of potential suitable distribution of Alnus cremastogyne Burk. In China under climate change scenarios L. Liu et al. https://doi.org/10.1016/j.ecolind.2021.108396
3333. Evaluation of climate change impact on future flood in the Bagmati river basin, Nepal using CMIP6 climate projections and HEC-RAS modeling S. Malla & K. Ohgushi https://doi.org/10.1016/j.watcyc.2025.08.004
3334. Leveraging Climate Regulation by Ecosystems for Agriculture to Promote Ecosystem Stewardship A. Cohn https://doi.org/10.1177/1940082917720672
3335. Temperature-photoperiod interactions improve simulations of early xylem phenology: Refining the Vaganov-Shashkin growth model F. Campelo & J. Camarero https://doi.org/10.1016/j.dendro.2024.126215
3336. Upper-ocean stratification changes control ENSO amplitude shift under sustained global warming R. Zhang et al. https://doi.org/10.1038/s41467-026-69931-x
3337. Coupling the U.K. Earth System Model to Dynamic Models of the Greenland and Antarctic Ice Sheets R. Smith et al. https://doi.org/10.1029/2021MS002520
3338. Spatiotemporal distribution prediction of the relict and endangered plant Tetraena mongolica in inner Mongolia, China under climate change J. Guo et al. https://doi.org/10.1038/s41598-024-79088-6
3339. Contribution of external forcings to the observed trend in surface temperature over Africa during 1901–2014 and its future projection from CMIP6 simulations V. Iyakaremye et al. https://doi.org/10.1016/j.atmosres.2021.105512
3340. Evaluating late spring frost risks of apple in the Loess Plateau of China under future climate change with phenological modeling approach X. Ru et al. https://doi.org/10.1016/j.scienta.2022.111604
3341. Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode T. Wen et al. https://doi.org/10.1088/1748-9326/adb051
3342. Emergence of climate change in the tropical Pacific J. Ying et al. https://doi.org/10.1038/s41558-022-01301-z
3343. Atmospheric Freezing Level Height Changes L. Ning et al. https://doi.org/10.1002/joc.70133
3344. Response of ocean climate to different heat-flux perturbations over the North Atlantic in FAFMIP W. Yin et al. https://doi.org/10.1016/j.accre.2023.08.005
3345. Sources of uncertainty in estimation of climate velocity and their implications for ecological and conservation applications C. Carroll & C. Mahony https://doi.org/10.1111/csp2.13296
3346. Artificial intelligence and machine learning in predicting food hunger and severity: A comprehensive review S. He et al. https://doi.org/10.1016/j.jfca.2026.109474
3347. Human Influence on Seasonal Precipitation in Europe N. Christidis & P. Stott https://doi.org/10.1175/JCLI-D-21-0637.1
3348. Skillful statistical prediction of subseasonal temperature by training on dynamical model data L. Trenary & T. DelSole https://doi.org/10.1017/eds.2023.2
3349. Simulating natural carbon sequestration in the Southern Ocean: on uncertainties associated with eddy parameterizations and iron deposition H. Dietze et al. https://doi.org/10.5194/bg-14-1561-2017
3350. Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks J. Martel et al. https://doi.org/10.5194/hess-29-2811-2025
3351. Anthropogenic warming of China and constrained future projection: updated investigation based on urbanization-bias adjusted observations and CMIP6 models J. Zhang et al. https://doi.org/10.1007/s10584-026-04170-z
3352. Tracking Changes in Climate Sensitivity in CNRM Climate Models D. Saint‐Martin et al. https://doi.org/10.1029/2020MS002190
3353. Regions of intensification of extreme snowfall under future warming L. Quante et al. https://doi.org/10.1038/s41598-021-95979-4
3354. North Atlantic–Pacific salinity contrast enhanced by wind and ocean warming Y. Lu et al. https://doi.org/10.1038/s41558-024-02033-y
3355. A hierarchical collection of political/economic regions for analysis of climate extremes D. Stone https://doi.org/10.1007/s10584-019-02479-6
3356. Dynamically downscaled seasonal heat wave projections in the CONUS H. Rubin et al. https://doi.org/10.1038/s41612-025-01055-3
3357. The recent and future PM2.5-related health burden in China apportioned by emission source J. Liu et al. https://doi.org/10.1038/s44407-025-00006-9
3358. Synoptic circulation changes over Central Europe from 1900 to 2100: Reanalyses and Coupled Model Intercomparison Project phase 6 P. Herrera‐Lormendez et al. https://doi.org/10.1002/joc.7481
3359. Rewiring climate modeling with machine learning emulators P. Van Katwyk et al. https://doi.org/10.1038/s43247-026-03238-z
3360. Microclimate shifts driven by Lake Urmia shrinkage and their implications for urban cooling demand and carbon emissions under future climate scenarios A. Reveshti et al. https://doi.org/10.1016/j.uncres.2026.100538
3361. Urban food delivery services as extreme heat adaptation Y. Zhang et al. https://doi.org/10.1038/s44284-024-00172-z
3362. Groundwater sustainability in the Varuna river basin: impacts of climate change and population growth R. Kumar et al. https://doi.org/10.1007/s12665-025-12213-4
3363. Anthropogenic intensification of concurrent extreme hot and dry days and related vegetation fire probability X. Zhang et al. https://doi.org/10.1007/s00382-025-07816-3
3364. Future changes in wind energy resource over the Northwest Passage based on theCMIP6climate projections H. Qian & R. Zhang https://doi.org/10.1002/er.5997
3365. Past long-term summer warming over western Europe in new generation climate models: role of large-scale atmospheric circulation J. Boé et al. https://doi.org/10.1088/1748-9326/ab8a89
3366. Estimation of the Invasive Potential of Boreal Crustaceans in the Barents Sea in Conditions of Climate Changes S. Bakanev https://doi.org/10.1134/S2079086425700264
3367. Evaluating simulated climate patterns from the CMIP archives using satellite and reanalysis datasets using the Climate Model Assessment Tool (CMATv1) J. Fasullo https://doi.org/10.5194/gmd-13-3627-2020
3368. Global/Regional Impacts on Present and Near-Future Climate Regimes in the Metropolitan Region of Belém, Eastern Amazon C. Gutierrez et al. https://doi.org/10.3390/atmos13071077
3369. Modelling the building-related photovoltaic power production potential in the light of the EU's Solar Rooftop Initiative G. Molnár et al. https://doi.org/10.1016/j.apenergy.2024.122708
3370. Climate change increases the suitable area and suitability degree of rubber tree powdery mildew in China R. Bai et al. https://doi.org/10.1016/j.indcrop.2022.115888
3371. The increasing influence of atmospheric moisture transport on hydrometeorological extremes in the Euromediterranean region with global warming L. Gimeno-Sotelo et al. https://doi.org/10.1038/s43247-024-01787-9
3372. Future projections of extreme precipitation in Tropical America and Panama under global warming based on 150‐year continuous simulations using 20‐km and 60‐km atmospheric general circulation models T. Nakaegawa & R. Mizuta https://doi.org/10.1002/joc.8261
3373. Functional trait modules link climatic niche geometry to projected range change in global butterflies F. Guo et al. https://doi.org/10.1111/1365-2435.70445
3374. Arctic Warming Revealed by Multiple CMIP6 Models: Evaluation of Historical Simulations and Quantification of Future Projection Uncertainties Z. Cai et al. https://doi.org/10.1175/JCLI-D-20-0791.1
3375. Modeling climate change impacts and predicting future vulnerability in the Mount Kenya forest ecosystem using remote sensing and machine learning T. Otieno et al. https://doi.org/10.1007/s10661-025-14089-0
3376. Comparing the seasonal predictability of the Tropical Pacific variability in EC-Earth3 at two horizontal resolutions A. Carréric et al. https://doi.org/10.5194/esd-17-717-2026
3377. Evaluation of the Performance of CMIP5 and CMIP6 Models in Simulating the Victoria Mode–El Niño Relationship Z. Wang et al. https://doi.org/10.1175/JCLI-D-20-0927
3378. Projections of Hydroclimatic Extremes in Southeast Alaska under the RCP8.5 Scenario R. Lader et al. https://doi.org/10.1175/EI-D-21-0023.1
3379. The pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models M. Rogers et al. https://doi.org/10.1007/s00382-021-06114-y
3380. Ecosystem climate sensitivities drive the divergence in aerosol-induced carbon uptake across CMIP6 models Z. Zhang et al. https://doi.org/10.5194/gmd-19-5363-2026
3381. Evaluation of Tropical Cyclone Simulations by the High-Resolution Climate System Model FGOALS-f3-H and the Role of Air–Sea Feedbacks in the Western North Pacific Y. Guo & Y. Yu https://doi.org/10.1007/s13351-026-5214-6
3382. Drastic increase in the magnitude of very rare summer-mean vapor pressure deficit extremes M. Hermann et al. https://doi.org/10.1038/s41467-024-51305-w
3383. UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. https://doi.org/10.5194/gmd-16-1569-2023
3384. Assessment of CMIP6 global climate models in reconstructing rainfall climatology of Bangladesh M. Kamruzzaman et al. https://doi.org/10.1002/joc.7452
3385. Enhanced atmospheric oxidation toward carbon neutrality reduces methane’s climate forcing M. Liu et al. https://doi.org/10.1038/s41467-024-47436-9
3386. Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6 J. Zeng et al. https://doi.org/10.1016/j.aosl.2021.100143
3387. Soil carbon sequestration, climate change mitigation, nitrogen pollution and agro-food supply: navigating trade-offs in future cropland management strategies Q. Wang et al. https://doi.org/10.1088/1748-9326/adbc04
3388. Evidence of climate and economic drivers affecting migration in an unequal and warming world X. Yang et al. https://doi.org/10.1038/s43247-025-02811-2
3389. Assessment of the Reproducibility of Oceanographic Fields in Retrospective Forecasts Using the INM-CM5 Earth System Model Y. Resnyanskii et al. https://doi.org/10.3103/S1068373924030014
3390. Dynamics of Southern Hemisphere Atmospheric Circulation Response to Anthropogenic Aerosol Forcing H. Wang et al. https://doi.org/10.1029/2020GL089919
3391. More concentrated precipitation decreases terrestrial water storage C. Lesk & J. Mankin https://doi.org/10.1038/s41586-026-10487-7
3392. Model‐Dependent Atlantic Multidecadal Variability Modulations on North Pacific Sea Surface Temperature Variability and Decadal Prediction Z. Lv et al. https://doi.org/10.1029/2023GL104278
3393. Projected spatial distribution and geographic shifts of suitable habitats for two major plague vectors under climate and land-use change in Qinghai, China Z. Yang et al. https://doi.org/10.1016/j.actatropica.2026.108338
3394. Biogeophysical and biogeochemical impacts of land-use change simulated by MIROC-ES2L A. Ito & T. Hajima https://doi.org/10.1186/s40645-020-00372-w
3395. Asymmetric hysteresis response of mid-latitude storm tracks to CO2 removal J. Hwang et al. https://doi.org/10.1038/s41558-024-01971-x
3396. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. https://doi.org/10.5194/gmd-17-4821-2024
3397. International Data Node System for CMIP6 Climate Change Projections J. Lee et al. https://doi.org/10.15531/KSCCR.2020.11.4.247
3398. Northward Propagation of the Intertropical Convergence Zone and Strengthening of Indian Summer Monsoon Rainfall V. Hari et al. https://doi.org/10.1029/2020GL089823
3399. Climate-Driven Prediction of the Future Distribution of Phytolacca americana L. Using a BIOMOD2 Ensemble Modelling Framework Y. Wang et al. https://doi.org/10.3390/plants15111747
3400. Projected runoff declines from plant physiological effects on precipitation C. Lesk et al. https://doi.org/10.1038/s44221-024-00361-z
3401. Observed and projected climate extremes in northwest highlands of Ethiopia and their implications in potato-based farming systems A. Ayalew et al. https://doi.org/10.1038/s41598-026-47373-1
3402. Stringent mitigation substantially reduces risk of unprecedented near-term warming rates C. McKenna et al. https://doi.org/10.1038/s41558-020-00957-9
3403. Potential Geographic Distribution of the Rare and Endangered Plant Sauvagesia rhodoleuca in China Under Climate Change Scenarios J. Wei et al. https://doi.org/10.1002/ece3.73295
3404. Emergence of the Central Atlantic Niño L. Zhang et al. https://doi.org/10.1126/sciadv.adi5507
3405. Changes in land surface air temperature annual cycle amplitude over the last millennium Y. Wang et al. https://doi.org/10.1007/s11442-026-2436-6
3406. Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 V. Mishra et al. https://doi.org/10.1038/s41597-020-00681-1
3407. Evaluation of CMIP6 models in simulating precipitation during the rainy season over Indochina Peninsula: Ensemble differences and potential causes W. Yu et al. https://doi.org/10.1016/j.atmosres.2026.108922
3408. Evaluation and future projection of compound extreme events in China using CMIP6 models Y. Liu et al. https://doi.org/10.1007/s10584-024-03856-6
3409. ReNovRisk: a multidisciplinary programme to study the cyclonic risks in the South-West Indian Ocean P. Tulet et al. https://doi.org/10.1007/s11069-021-04624-w
3410. Correlations Between Sea‐Level Components Are Driven by Regional Climate Change E. Lambert et al. https://doi.org/10.1029/2020EF001825
3411. Lake Surface Temperature Predictions under Different Climate Scenarios with Machine Learning Methods: A Case Study of Qinghai Lake and Hulun Lake, China Z. Li et al. https://doi.org/10.3390/rs16173220
3412. Ocean warming threatens the viability of 60% of Antarctic ice shelves C. Burgard et al. https://doi.org/10.1038/s41586-025-09657-w
3413. Global and regional impacts differ between transient and equilibrium warmer worlds A. King et al. https://doi.org/10.1038/s41558-019-0658-7
3414. Modes of Atmospheric Energetics Based on HadGEM3-GC3.1-LL Simulations in the Framework of CMIP6 S. Michaelides & P. Salvador https://doi.org/10.1155/2023/3956086
3415. Assessment of model performance of precipitation extremes over the mid-high latitude areas of Northern Hemisphere: from CMIP5 to CMIP6 W. LIN & H. CHEN https://doi.org/10.1080/16742834.2020.1820303
3416. The implications of maintaining Earth's hemispheric albedo symmetry for shortwave radiative feedbacks A. Jönsson & F. Bender https://doi.org/10.5194/esd-14-345-2023
3417. Similarities and Differences in Arctic Sea‐Ice Loss During the Solar‐Forced Last Interglacial Warming (127 Kyr BP) and CO2‐Forced Future Warming M. Sicard et al. https://doi.org/10.1029/2023GL104782
3418. Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin K. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.171630
3419. Projected rapid response of stratospheric temperature to stringent climate mitigation G. Romanzini-Bezerra & A. Maycock https://doi.org/10.1038/s41467-024-50648-8
3420. Carbon emissions exacerbating the Western US water crisis E. Williams et al. https://doi.org/10.1038/s43247-026-03900-6
3421. Teleconnection Processes Linking the Intensity of the Atlantic Multidecadal Variability to the Climate Impacts over Europe in Boreal Winter S. Qasmi et al. https://doi.org/10.1175/JCLI-D-19-0428.1
3422. Exploring ozone–climate interactions in idealized CMIP6 DECK experiments J. Wang et al. https://doi.org/10.5194/acp-25-17819-2025
3423. Delivering probabilistic climate hazards assessments D. Huard et al. https://doi.org/10.1088/2515-7620/ae3a4d
3424. Evaluation and Projection of Wind Speed in the Arid Region of Northwest China Based on CMIP6 Y. Long et al. https://doi.org/10.3390/rs13204076
3425. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. https://doi.org/10.5194/bg-22-323-2025
3426. High-resolution global population projections dataset developed with CMIP6 RCP and SSP scenarios for year 2010–2100 N. Olén & V. Lehsten https://doi.org/10.1016/j.dib.2022.107804
3427. Development of flood hazard index under climate change scenarios in Java Island M. Farid et al. https://doi.org/10.1016/j.pdisas.2023.100302
3428. Vegetation browning patterns under compound soil and atmospheric dryness in northern permafrost ecosystems M. Wu et al. https://doi.org/10.1038/s41467-026-75131-4
3429. A machine learning approach to rapidly project climate responses under a multitude of net-zero emission pathways V. Kitsios et al. https://doi.org/10.1038/s43247-023-01011-0
3430. Projections of mortality attributable to hot ambient temperatures in Cyprus under moderate and extreme climate change scenarios M. Ma et al. https://doi.org/10.1016/j.ijheh.2024.114439
3431. On the use of Infrared Atmospheric Sounding Interferometer (IASI) spectrally resolved radiances to test the EC-Earth climate model (v3.3.3) in clear-sky conditions S. Della Fera et al. https://doi.org/10.5194/gmd-16-1379-2023
3432. Assessing the Skill of CMIP6 Annual-to-Decadal Climate Forecasts at the Catchment Scale in Northeast Brazil G. Feitosa et al. https://doi.org/10.3390/cli14070144
3433. Dynamical landscape and multistability of a climate model G. Margazoglou et al. https://doi.org/10.1098/rspa.2021.0019
3434. Overcoming the disconnect between energy system and climate modeling M. Craig et al. https://doi.org/10.1016/j.joule.2022.05.010
3435. Volcanic eruptions disrupt ENSO teleconnections with land summer temperature X. Zhang et al. https://doi.org/10.1038/s41467-025-64879-w
3436. Enhanced El Niño–Southern Oscillation impact on Somali jet under greenhouse warming H. Wang et al. https://doi.org/10.1007/s00382-025-07988-y
3437. An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing R. Thor et al. https://doi.org/10.5194/gmd-16-1459-2023
3438. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber https://doi.org/10.1029/2022GL099463
3439. Regional Dynamic Sea Level Simulated in the CMIP5 and CMIP6 Models: Mean Biases, Future Projections, and Their Linkages K. Lyu et al. https://doi.org/10.1175/JCLI-D-19-1029.1
3440. Twenty first century changes in Antarctic and Southern Ocean surface climate in CMIP6 T. Bracegirdle et al. https://doi.org/10.1002/asl.984
3441. Socio-demographic factors shaping the future global health burden from air pollution H. Yang et al. https://doi.org/10.1038/s41893-022-00976-8
3442. Global economic exposure to climate change amplified by spatially compounding climate extremes B. Biess et al. https://doi.org/10.1038/s41467-026-70127-6
3443. Climate change projection using statistical downscaling model over southern coastal Iran S. Esfandeh et al. https://doi.org/10.1016/j.heliyon.2024.e29416
3444. Coordinating multi-energy stations for climate-resilient district cooling: A computationally efficient optimization framework X. Wei et al. https://doi.org/10.1016/j.energy.2026.140341
3445. Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence T. George et al. https://doi.org/10.1038/s41467-020-20779-9
3446. Changing ocean seasonal cycle escalates destructive marine heatwaves in a warming climate S. Wang et al. https://doi.org/10.1088/1748-9326/ac6685
3447. Greenhouse warming exacerbates El Niño-induced Indian monsoon droughts Y. Zhao et al. https://doi.org/10.1038/s41467-026-76049-7
3448. Evaluating North American winter extreme precipitation variability and its drivers in CMIP6 models D. Jeong et al. https://doi.org/10.1016/j.wace.2026.100948
3449. Climate-adaptive stochastic framework for annual maximum wind speed prediction J. Zou et al. https://doi.org/10.1016/j.jweia.2026.106483
3450. Emergent constraints on carbon budgets as a function of global warming P. Cox et al. https://doi.org/10.1038/s41467-024-46137-7
3451. Spatiotemporal assessment of offshore wind energy resources in the Guangdong–Hong Kong–Macau greater Bay area considering climate change impacts J. He et al. https://doi.org/10.1063/5.0268811
3452. Compaction induced losses in soil services in Europe under future climate A. Romero-Ruiz et al. https://doi.org/10.1088/1748-9326/ae7c8d
3453. Towards a multilevel modelling framework for coproducing feasible and equitable portfolios of land-based climate mitigation technologies R. Schaldach et al. https://doi.org/10.1038/s44168-026-00353-7
3454. Projected sea level rise in Thailand: Regional effects of climate change and solar radiation modification based on observations and the GeoMIP6 P. Narenpitak et al. https://doi.org/10.1525/elementa.2024.00069
3455. Comparing storm resolving models and climates via unsupervised machine learning G. Mooers et al. https://doi.org/10.1038/s41598-023-49455-w
3456. Incorporating EarthCARE observations into a multi-lidar cloud climate record: the ATLID (Atmospheric Lidar) cloud climate product A. Feofilov et al. https://doi.org/10.5194/amt-16-3363-2023
3457. Sources of MJO teleconnection errors in the ECMWF extended‐range forecasts F. Vitart & M. Balmaseda https://doi.org/10.1002/qj.4688
3458. Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons A. Lauer et al. https://doi.org/10.5194/esd-9-33-2018
3459. Impacts of leaf traits on vegetation optical properties in Earth system modeling Y. Wang et al. https://doi.org/10.1038/s41467-025-60149-x
3460. A Framework to Quantify the Uncertainty Contribution of GCMs Over Multiple Sources in Hydrological Impacts of Climate Change H. Wang et al. https://doi.org/10.1029/2020EF001602
3461. Attributing the driving mechanisms of the 2015–2017 drought in the Western Cape (South Africa) using self-organising maps R. Odoulami et al. https://doi.org/10.1088/1748-9326/ace26f
3462. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. https://doi.org/10.5194/hess-25-3429-2021
3463. High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future R. Arthur et al. https://doi.org/10.1063/5.0254086
3464. Understanding surface temperature changes over the Tibetan Plateau in the last millennium from a modeling perspective M. Zuo et al. https://doi.org/10.1007/s00382-024-07240-z
3465. Comparison of Coincident Optical Particle Counter and Lidar Measurements of Polar Stratospheric Clouds Above McMurdo (77.85°S, 166.67°E) From 1994 to 1999 M. Snels et al. https://doi.org/10.1029/2020JD033572
3466. Climate sensitivity controls global precipitation hysteresis in a changing CO2 pathway S. Song et al. https://doi.org/10.1038/s41612-023-00484-2
3467. Projected irrigation demand for large-scale rice granary under future climate scenarios based on CMIP6 multi-GCM ensemble: a case study of Kerian Irrigation Scheme, Malaysia M. Nasir et al. https://doi.org/10.1007/s00704-023-04812-7
3468. The impact of spatiotemporal variability in atmospheric CO2 concentration on global terrestrial carbon fluxes E. Lee et al. https://doi.org/10.5194/bg-15-5635-2018
3469. Impact of ocean heat transport on sea ice captured by a simple energy balance model J. Aylmer et al. https://doi.org/10.1038/s43247-024-01565-7
3470. Equilibrium line altitudes, accumulation areas and the vulnerability of glaciers in Alaska L. Zeller et al. https://doi.org/10.1017/jog.2024.65
3471. Partial-convolution-implemented generative adversarial network for global oceanic data assimilation Y. Ham et al. https://doi.org/10.1038/s42256-024-00867-x
3472. Modeling climate change impacts on urban population exposure to heat stress dynamics in Vancouver and Victoria, Canada F. Azargoshasbi & L. Minet https://doi.org/10.1016/j.scs.2025.106992
3473. Decadal predictability of summer precipitation in Northwestern China originated from the North Atlantic Ocean Y. Xiang et al. https://doi.org/10.1038/s41612-025-01197-4
3474. Process-based evaluation of Eastern Mediterranean heatwave development in the CMIP6 models A. Klif et al. https://doi.org/10.1016/j.wace.2026.100918
3475. Evaluation and Comparison of CMIP6 Global Climate Model Historical Simulations Against ERA5 Reanalysis for Mediterranean Cyclone Tracking E. Dolgos et al. https://doi.org/10.3390/atmos17100922
3476. More than six billion people encountering more exposure to extremes with 1.5 °C and 2.0 °C warming P. Qin https://doi.org/10.1016/j.atmosres.2022.106165
3477. North Atlantic Oscillation in winter is largely insensitive to autumn Barents-Kara sea ice variability P. Siew et al. https://doi.org/10.1126/sciadv.abg4893
3478. Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. https://doi.org/10.1029/2019MS002009
3479. Selecting and weighting dynamical models using data-driven approaches P. Le Bras et al. https://doi.org/10.5194/npg-31-303-2024
3480. Assessment of Livelihood Vulnerability to Climate Change: A Multidimensional Case Study from Dongarampur Region, India D. Zewdu et al. https://doi.org/10.1007/s41748-025-00766-0
3481. Arctic Sea Ice in Two Configurations of the CESM2 During the 20th and 21st Centuries P. DeRepentigny et al. https://doi.org/10.1029/2020JC016133
3482. Projected increase in the frequency of extremely active Atlantic hurricane seasons H. Lopez et al. https://doi.org/10.1126/sciadv.adq7856
3483. Agreement of Analytical and Simulation‐Based Estimates of the Required Land Depth in Climate Models N. Steinert et al. https://doi.org/10.1029/2021GL094273
3484. Climate change may outpace current wheat breeding yield improvements in North America T. Zhang et al. https://doi.org/10.1038/s41467-022-33265-1
3485. Possible Effects of Climate Change on the Occurrence and Distribution of the Rare Moss Buxbaumia viridis in Serbia (SE Europe) J. Pantović et al. https://doi.org/10.3390/plants12030557
3486. Chemistry–climate feedback of atmospheric methane in a methane-emission-flux-driven chemistry–climate model L. Stecher et al. https://doi.org/10.5194/acp-25-5133-2025
3487. Evaluating the validity of using sea surface temperature as an alternative to bottom temperature in American lobster habitat suitability modeling X. Yang et al. https://doi.org/10.1016/j.pocean.2026.103667
3488. Escalating Future Climate Extremes Across the Black Sea Basin Driven by Kilometer-Scale Scenario Simulations M. Kelebek et al. https://doi.org/10.1007/s41748-026-01144-0
3489. Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long‐Term Persistence, Autocorrelation, and Distributional Shape S. Papalexiou et al. https://doi.org/10.1029/2020EF001667
3490. CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. https://doi.org/10.5194/gmd-14-4117-2021
3491. GMMIP (v1.0) contribution to CMIP6: Global Monsoons Model Inter-comparison Project T. Zhou et al. https://doi.org/10.5194/gmd-9-3589-2016
3492. Alleviation of an Arctic Sea Ice Bias in a Coupled Model Through Modifications in the Subgrid‐Scale Orographic Parameterization G. Gastineau et al. https://doi.org/10.1029/2020MS002111
3493. Diverging hydrological sensitivity among tropical basins J. He et al. https://doi.org/10.1038/s41558-024-01982-8
3494. Ocean response to a century of observation-based freshwater forcing around Greenland in EC-Earth3 M. Devilliers et al. https://doi.org/10.1007/s00382-024-07142-0
3495. Ocean Futures for the World’s Largest Yellowfin Tuna Population Under the Combined Effects of Ocean Warming and Acidification S. Nicol et al. https://doi.org/10.3389/fmars.2022.816772
3496. Changes in extreme temperatures and precipitation over pan-Arctic land driven by anthropogenic influences Y. Yang et al. https://doi.org/10.1016/j.wace.2025.100825
3497. Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region M. Haq et al. https://doi.org/10.3390/s21217416
3498. Atmospheric variability contributes to increasing wildfire weather but not as much as global warming N. Diffenbaugh et al. https://doi.org/10.1073/pnas.2117876118
3499. Meeting User Needs for Sea Level Rise Information: A Decision Analysis Perspective J. Hinkel et al. https://doi.org/10.1029/2018EF001071
3500. Divergent features of the upper-tropospheric carbonaceous aerosol layer: effects of atmospheric dynamics and pollution emissions in Asia, South America, and Africa D. Wu et al. https://doi.org/10.1088/1748-9326/ad2eef
3501. State of the UK Climate 2023 M. Kendon et al. https://doi.org/10.1002/joc.8553
3502. Robust and Nonrobust Aspects of Atlantic Meridional Overturning Circulation Variability and Mechanisms in the Community Earth System Model G. Danabasoglu et al. https://doi.org/10.1175/JCLI-D-19-0026.1
3503. Tropical instability waves in a high-resolution oceanic and coupled GCM T. Li et al. https://doi.org/10.1016/j.ocemod.2023.102169
3504. Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6 N. Kumar et al. https://doi.org/10.1080/10106049.2021.1973116
3505. Decreased ENSO post-2100 in response to formation of a permanent El Niño-like state under greenhouse warming T. Geng et al. https://doi.org/10.1038/s41467-024-50156-9
3506. Climate-driven changes in the predictability of seasonal precipitation P. Le et al. https://doi.org/10.1038/s41467-023-39463-9
3507. Do the expected heatwaves pose a threat to lichens?: Linkage between a passive decline in water content in thalli and response to heat stress P. Osyczka & B. Myśliwa‐Kurdziel https://doi.org/10.1111/pce.14999
3508. An imminent return to drought in the western Sahel? D. Wane et al. https://doi.org/10.1126/sciadv.adu5415
3509. Future precipitation projections using CMIP6 multimodel ensemble: a deep learning-based bias correction approach M. Ettehadi et al. https://doi.org/10.2166/wcc.2026.025
3510. Climate Change Amplification of Natural Drought Variability: The Historic Mid-Twentieth-Century North American Drought in a Warmer World B. Cook et al. https://doi.org/10.1175/JCLI-D-18-0832.1
3511. Modelling the impacts of future droughts and post-droughts on hydrology, crop yields, and their linkages through assessing virtual water trade in agricultural watersheds of high-latitude regions P. Khalili et al. https://doi.org/10.1016/j.jhydrol.2024.131530
3512. Changes in the probability of temporally compound wet and dry events in a warmer world: case study in the Upper Jhelum Basin—South Asia R. Ansari et al. https://doi.org/10.1007/s10113-025-02367-z
3513. Evaluation of Black Carbon Concentration Levels and Trends in East Asia from CMIP6 Climate Models: Comparison to Long-Term Observations in Japan and Biases Due to Chinese Emissions K. Ikeda et al. https://doi.org/10.2151/sola.2023-031
3514. Elucidating diverse population exposure to compound drought and heatwave events from two meteorological drought indices (SPI and SPEI) T. Wang et al. https://doi.org/10.1088/1748-9326/adad01
3515. Advancing climate modeling: a multi-framework methodology for evaluating GCMs and predicting drought trends M. Shakeel et al. https://doi.org/10.1007/s11600-025-01701-7
3516. Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. https://doi.org/10.5194/esd-13-251-2022
3517. Scientific data from precipitation driver response model intercomparison project G. Myhre et al. https://doi.org/10.1038/s41597-022-01194-9
3518. Anthropogenic forcing dominates relentless westward extension of the western North Pacific subtropical high X. An et al. https://doi.org/10.1016/j.atmosres.2026.109301
3519. Framework to assess climate change impact on heating and cooling energy demands in building stock: A case study of Belgium in 2050 and 2100 E. Elnagar et al. https://doi.org/10.1016/j.enbuild.2023.113547
3520. Future Climate Change Hotspots Under Different 21st Century Warming Scenarios X. Fan et al. https://doi.org/10.1029/2021EF002027
3521. Distinct responses of tropical cyclone activity to spatio-uniform and nonuniform SST warming patterns M. Xu et al. https://doi.org/10.1088/1748-9326/ad4976
3522. Evaluation of ENSO in CMIP5 and CMIP6 models and its significance in the rainfall in Northeast Thailand Y. De Silva et al. https://doi.org/10.1007/s00704-023-04585-z
3523. Changes in precipitation and air temperature contribute comparably to permafrost degradation in a warmer climate Z. Mekonnen et al. https://doi.org/10.1088/1748-9326/abc444
3524. An integrated method for TCWV prediction using deep learning coupled with physical constraints: a physics-aware spatio-temporal attention network L. Xu et al. https://doi.org/10.1080/20964471.2026.2680809
3525. Pliocene Model Intercomparison Project Phase 3 (PlioMIP3) – Science plan and experimental design A. Haywood et al. https://doi.org/10.1016/j.gloplacha.2023.104316
3526. Comparison of multi-model ensembles of global and regional climate model projections for daily characteristics of precipitation over four major river basins in southern Africa. Part II: Future changes under 1.5 °C, 2.0 °C and 3.0 °C warming levels S. Samuel et al. https://doi.org/10.1016/j.atmosres.2023.106921
3527. Exploring the Impact of Climate Change on Water Resources for Vegetation Covers in Extremadura (Spain) J. Lozano-Parra & J. Sánchez-Martín https://doi.org/10.3390/w16101418
3528. Pacific Ocean Forcing and Atmospheric Variability Are the Dominant Causes of Spatially Widespread Droughts in the Contiguous United States S. Baek et al. https://doi.org/10.1029/2018JD029219
3529. A framework for optimization and assessment of long-term urban stormwater management scenarios under climate change and performance challenges M. Liu et al. https://doi.org/10.1016/j.jenvman.2025.126298
3530. Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) E. Chassignet et al. https://doi.org/10.5194/gmd-13-4595-2020
3531. Future changes in seasonal sea-level variability could reshape coastal ecosystems T. Hermans et al. https://doi.org/10.1038/s41558-026-02631-y
3532. Climate tipping point interactions and cascades: a review N. Wunderling et al. https://doi.org/10.5194/esd-15-41-2024
3533. Understanding regional heterogeneity in energy systems and energy affordability: A polar paradox in Arctic Alaska T. Waite et al. https://doi.org/10.1016/j.erss.2026.104572
3534. Advancing ocean monitoring and knowledge for societal benefit: the urgency to expand Argo to OneArgo by 2030 V. Thierry et al. https://doi.org/10.3389/fmars.2025.1593904
3535. An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations Y. Zhu et al. https://doi.org/10.1007/s00382-021-05946-y
3536. Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China L. Xu et al. https://doi.org/10.1016/j.scitotenv.2023.168829
3537. Future climate and land-use change reshape watershed best management practices portfolio for nutrient control Y. Ren et al. https://doi.org/10.1016/j.jhydrol.2026.135990
3538. Calculating the Climatology and Anomalies of Surface Cloud Radiative Effect Using Cloud Property Histograms and Cloud Radiative Kernels C. Zhou et al. https://doi.org/10.1007/s00376-021-1166-z
3539. Narrowed uncertainty in future global temperature and remaining carbon budget I. Melnikova et al. https://doi.org/10.1016/j.oneear.2025.101526
3540. Doubling of surface oceanic meridional heat transport by non-symmetry of mesoscale eddies H. Wang et al. https://doi.org/10.1038/s41467-023-41294-7
3541. Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. https://doi.org/10.3389/fenvs.2022.847475
3542. Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model Y. Hao et al. https://doi.org/10.1016/j.catena.2022.106082
3543. Inequality of Global Thermal Comfort Conditions Changes in a Warmer World J. Zhang et al. https://doi.org/10.1029/2022EF003109
3544. Projected impacts of ocean warming on pelagic ecosystems in the Western and Central Pacific Ocean using a multi-species size-spectrum model X. Li et al. https://doi.org/10.1016/j.marpolbul.2025.118241
3545. Anthropogenic climate change worsened recent declines in freshwater availability in India S. Tiwary & A. Mondal https://doi.org/10.1088/1748-9326/ae1624
3546. Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates Y. Pan et al. https://doi.org/10.3390/rs17081362
3547. Projected regional changes in mean and extreme precipitation over Africa in CMIP6 models V. Bobde et al. https://doi.org/10.1088/1748-9326/ad545c
3548. Future Drought Changes in China Projected by the CMIP6 Models: Contributions from Key Factors Q. Chen et al. https://doi.org/10.1007/s13351-023-2169-8
3549. An assessment of scale-dependent variability and bias in global prediction models N. Žagar et al. https://doi.org/10.1007/s00382-019-05001-x
3550. Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al. https://doi.org/10.1016/j.jhydrol.2023.129805
3551. Persistent Model Biases in the Spatial Variability of Winter North Atlantic Atmospheric Circulation Q. Tao et al. https://doi.org/10.1029/2023GL105231
3552. Two decades of Earth system modeling with an emphasis on Model for Interdisciplinary Research on Climate (MIROC) M. Kawamiya et al. https://doi.org/10.1186/s40645-020-00369-5
3553. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. https://doi.org/10.5194/gmd-15-5567-2022
3554. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. https://doi.org/10.1029/2020MS002353
3555. Emergent constraints on tropical atmospheric aridity—carbon feedbacks and the future of carbon sequestration A. Barkhordarian et al. https://doi.org/10.1088/1748-9326/ac2ce8
3556. Decadal prediction of East Asian winter monsoon with CMIP6 models: explainable predictability from the western North Pacific sea surface temperature X. Liu et al. https://doi.org/10.1088/2515-7620/ae2bcd
3557. Regions of Climatic Stability for Neotropical Primates T. Marques et al. https://doi.org/10.1111/mam.70025
3558. Estimating the Effects of Climate Fluctuations on Precipitation and Temperature in East Africa E. Dufatanye Umwali et al. https://doi.org/10.3390/atmos15121455
3559. Future changes in the extratropical storm tracks and cyclone intensity, wind speed, and structure M. Priestley & J. Catto https://doi.org/10.5194/wcd-3-337-2022
3560. Mid-summer snow-free albedo across the Arctic tundra was mostly stable or increased over the past two decades E. Plekhanova et al. https://doi.org/10.1088/1748-9326/aca5a1
3561. Future water stress in arid landscapes projected with GeoAI M. Rahman et al. https://doi.org/10.1007/s00704-025-05976-0
3562. Solar potential assessment using machine learning and climate change projections for long-term energy planning B. Reddy et al. https://doi.org/10.1038/s41598-025-23661-0
3563. Mean and extreme precipitation changes over China under SSP scenarios: results from high-resolution dynamical downscaling for CORDEX East Asia L. Zou & T. Zhou https://doi.org/10.1007/s00382-021-05947-x
3564. Emergence of a climate oscillation in the Arctic Ocean due to global warming S. Kim & S. An https://doi.org/10.1038/s41558-024-02171-3
3565. Projection of extreme temperature events in megacity Beijing C. Meng et al. https://doi.org/10.1016/j.uclim.2025.102676
3566. Plant responses to changing rainfall frequency and intensity A. Feldman et al. https://doi.org/10.1038/s43017-024-00534-0
3567. From global to regional-scale CMIP6-derived wind wave extremes: a single-GCM HighResMIP and CORDEX downscaling experiment in South-East Australia M. Lorenzo et al. https://doi.org/10.1007/s00382-024-07504-8
3568. Comparison of multimodel ensembles of global and regional climate models projections for extreme precipitation over four major river basins in southern Africa— assessment of the historical simulations S. Samuel et al. https://doi.org/10.1007/s10584-023-03530-3
3569. Modeling future streamflow under climate and land use scenarios in the lower Okavango River basin K. Negussie et al. https://doi.org/10.3389/fsrma.2026.1773448
3570. Prediction of suitable areas for Prunus serrulata Lindl. in the context of future climate change M. He et al. https://doi.org/10.1016/j.flora.2025.152827
3571. Global Teleconnections of Extreme Rainfall Events in the Yellow River Basin L. Cai et al. https://doi.org/10.1007/s00376-025-5117-y
3572. Projected changes in wet and dry extremes in the CMIP6 multi-model ensemble over the IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s44292-024-00016-4
3573. North Indian Ocean sea level rise in the past and future: The role of climate change and variability J. Jyoti et al. https://doi.org/10.1016/j.gloplacha.2023.104205
3574. Generative 3D Gaussian splatting for arbitrary-resolution atmospheric downscaling and forecasting T. Han et al. https://doi.org/10.1016/j.patcog.2026.114970
3575. CAMEMBERT: A Mini-Neptunes General Circulation Model Intercomparison, Protocol Version 1.0.A CUISINES Model Intercomparison Project D. Christie et al. https://doi.org/10.3847/PSJ/ac9dfe
3576. Foundation models in Earth system science: Advances, challenges, and future paths F. Su et al. https://doi.org/10.59717/j.tirv.2026.100014
3577. Climate change impacts on wind energy resources in North America based on the CMIP6 projections A. Martinez & G. Iglesias https://doi.org/10.1016/j.scitotenv.2021.150580
3578. Multi-scale impacts of climate change on hydropower for long-term water-energy planning in the contiguous United States D. Broman et al. https://doi.org/10.1088/1748-9326/ad6ceb
3579. Estimating Future Surface Water Availability Through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios M. Shao et al. https://doi.org/10.1029/2022WR034099
3580. Why is summertime Arctic sea ice drift speed projected to decrease? J. Ward & N. Tandon https://doi.org/10.5194/tc-18-995-2024
3581. Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling S. Razavi https://doi.org/10.1016/j.envsoft.2021.105159
3582. The Arctic has warmed nearly four times faster than the globe since 1979 M. Rantanen et al. https://doi.org/10.1038/s43247-022-00498-3
3583. Assessment of CMIP6 models' skill for tropical Indian Ocean sea surface temperature variability S. Halder et al. https://doi.org/10.1002/joc.6975
3584. Predictability of North Atlantic Sea Surface Temperature and Upper-Ocean Heat Content M. Buckley et al. https://doi.org/10.1175/JCLI-D-18-0509.1
3585. Advanced climate modeling frameworks: state-of-the-art techniques, uncertainties, and the principle of responsibility J. Chahed https://doi.org/10.1007/s40808-025-02525-6
3586. Evaluation and Projection of Temperatures Over Pakistan: Insights from the Downscaled NEX-GDDP-CMIP6 Models M. Baig et al. https://doi.org/10.1007/s41748-024-00554-2
3587. Estimating shifts in wind power density under a changing climate using bias corrected CMIP6 multi-model ensemble projections across India S. Srivastav et al. https://doi.org/10.1016/j.egycc.2026.100278
3588. Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning S. Sippel et al. https://doi.org/10.1175/JCLI-D-18-0882.1
3589. Multidecadal shifts of the northern and southern edges of the western Pacific warm pool H. Wang et al. https://doi.org/10.1088/1748-9326/ade4e0
3590. Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. https://doi.org/10.5194/gmd-17-1133-2024
3591. The Impact of Glacial Shrinkage on Future Streamflow in the Urumqi River Source Region of Eastern Tien Shan, Central Asia W. Zhao et al. https://doi.org/10.3390/rs16142546
3592. Evaluation and Projection of Northwest China's Extreme Precipitation Using Statistically Downscaled CMIP6 Models J. Zhang et al. https://doi.org/10.1002/joc.70237
3593. Can We Use 1D Models to Predict 3D Model Response to Forcing in an Idealized Framework? Y. Hwong et al. https://doi.org/10.1029/2021MS002785
3594. Spatial uncertainty in monthly rainfall projections for Peninsular Malaysia: assessment of the top-performing GCMs under worst case scenario Z. Sa’adi et al. https://doi.org/10.1088/1755-1315/1505/1/012014
3595. Clandestine travelers, a boon for south and a bane for north? Warming-induced shifts in global invasion potential of Argentine ants R. Nair et al. https://doi.org/10.1007/s10530-024-03389-0
3596. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo https://doi.org/10.1007/s41748-023-00370-0
3597. Econometric estimates of Earth’s transient climate sensitivity P. Phillips et al. https://doi.org/10.1016/j.jeconom.2019.05.002
3598. Greenland Ice Sheet Contribution to 21st Century Sea Level Rise as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. https://doi.org/10.1029/2019GL086836
3599. Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. https://doi.org/10.5194/bg-18-2405-2021
3600. Assessment of Climate Change Impacts on the Hydroclimatic Response in Burundi Based on CMIP6 ESMs J. Kim et al. https://doi.org/10.3390/su132112037
3601. Running to warmer-drier springs in the Greater Mekong Subregion as climate warms Z. Dong et al. https://doi.org/10.1016/j.atmosres.2024.107606
3602. Montreal Protocol's impact on the ozone layer and climate T. Egorova et al. https://doi.org/10.5194/acp-23-5135-2023
3603. Zero-shot forecasting of streamflow using time series foundation models: are we there yet? A. Sun & A. Sun https://doi.org/10.1088/3049-4753/ae4982
3604. Impacts of power plant emissions on air quality amplified by renewable energy droughts L. Shen et al. https://doi.org/10.1038/s41561-026-02039-5
3605. Disentangling the Sources of Uncertainties in the Projection of Flood Risk Across the Central United States (Iowa) A. Michalek et al. https://doi.org/10.1029/2023GL105852
3606. Evaluating statistical downscaling methods for future temperature and precipitation projections in the Qilian mountains G. Liu et al. https://doi.org/10.3389/frsen.2026.1890112
3607. Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al. https://doi.org/10.5194/gmd-18-1169-2025
3608. Precipitation over southern Africa: is there consensus among global climate models (GCMs), regional climate models (RCMs) and observational data? M. Karypidou et al. https://doi.org/10.5194/gmd-15-3387-2022
3609. How does tropospheric VOC chemistry affect climate? An investigation of preindustrial control simulations using the Community Earth System Model version 2 N. Stanton & N. Tandon https://doi.org/10.5194/acp-23-9191-2023
3610. Application of bias corrected FGOALS-g3 model products for detecting changes in extreme precipitation in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.atmosres.2022.106455
3611. Performance evaluation of CMIP6 climate models for selecting a suitable GCM for future precipitation at different places of Tamil Nadu H. S & V. L https://doi.org/10.1007/s10661-023-11454-9
3612. Simulation of MJO with improved deep convection scheme in different resolutions of BCC-CSM2 models M. Zheng et al. https://doi.org/10.1007/s00382-023-07015-y
3613. 2022 early-summer heatwave in Southern South America: 60 times more likely due to climate change J. Rivera et al. https://doi.org/10.1007/s10584-023-03576-3
3614. The contribution of melt ponds to enhanced Arctic sea-ice melt during the Last Interglacial R. Diamond et al. https://doi.org/10.5194/tc-15-5099-2021
3615. A planetary boundary for green water L. Wang-Erlandsson et al. https://doi.org/10.1038/s43017-022-00287-8
3616. Urban growth prediction along Shared Socioeconomic Pathways (SSPs) for future flood exposure risk assessment: a cross-continental analysis of coastal cities F. Bachofer et al. https://doi.org/10.1007/s44218-025-00109-6
3617. Observed trend in Earth energy imbalance may provide a constraint for low climate sensitivity models G. Myhre et al. https://doi.org/10.1126/science.adt0647
3618. Interannual variability and trends of summertime PM2.5-based air quality in the Intermountain West Y. Chikamoto et al. https://doi.org/10.1088/1748-9326/acc6e0
3619. Past and future trends of diurnal temperature range and their correlation with vegetation assessed by MODIS and CMIP6 Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166727
3620. Characteristics analysis of drought at multiple spatiotemporal scale and assessment of CMIP6 performance over the Huaihe River Basin X. Li et al. https://doi.org/10.1016/j.ejrh.2022.101103
3621. Projected impacts of climate change on the spatial distribution and habitat preference of tropical tuna in the Pacific Ocean Y. Wu et al. https://doi.org/10.1016/j.marenvres.2026.107868
3622. Future projections of daily maximum and minimum temperatures over East Asia for the carbon neutrality period of 2050-2060 J. Zhang & F. Chen https://doi.org/10.1007/s00704-022-04155-9
3623. Assessing the synergic effect of land use and climate change on the upper Betwa River catchment in Central India under present, past, and future climate scenarios A. Kumar et al. https://doi.org/10.1007/s10668-022-02260-3
3624. Global future population exposure to heatwaves Y. Wang et al. https://doi.org/10.1016/j.envint.2023.108049
3625. The significant role of snow in shaping alpine treeline responses in modelled boreal forests S. Haupt et al. https://doi.org/10.5194/bg-22-6811-2025
3626. Multi-model ensemble of CMIP6 projections for future extreme climate changes in wheat production regions of China Z. Shi et al. https://doi.org/10.1007/s00382-024-07151-z
3627. Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling A. Aryal et al. https://doi.org/10.3390/forecast4030032
3628. Evaluating Observational Constraints on Intermodel Spread in Cloud, Temperature, and Humidity Feedbacks H. He et al. https://doi.org/10.1029/2020GL092309
3629. Projections of the North Atlantic warming hole can be constrained using ocean surface density as an emergent constraint I. Park & S. Yeh https://doi.org/10.1038/s43247-024-01269-y
3630. Winter Arctic polynyas in CMIP6 models C. Heuzé et al. https://doi.org/10.5194/tc-20-3643-2026
3631. Modeling of land use change under the recent climate projections of CMIP6: a case study of Indian river basin N. Kumar et al. https://doi.org/10.1007/s11356-023-26960-z
3632. Rising disparities in grain self-sufficiency across China: Provincial divergence amidst overall national improvement X. Yu et al. https://doi.org/10.1016/j.eiar.2025.107942
3633. Varying contributions of fast and slow responses cause asymmetric tropical rainfall change between CO2 ramp-up and ramp-down S. Zhou et al. https://doi.org/10.1016/j.scib.2022.07.010
3634. Projected changes in ultraviolet index and UV doses over the twenty-first century: impacts of ozone and aerosols from CMIP6 A. Yamamoto et al. https://doi.org/10.1007/s43630-024-00594-7
3635. Increasing risk of vapor pressure deficit exceeding critical thresholds for tree growth T. Li et al. https://doi.org/10.1073/pnas.2530363123
3636. Impacts of Climate Change on Offshore Wind Power Density in Brazil Under Different Warming Scenarios J. dos Reis et al. https://doi.org/10.1007/s41748-026-01289-y
3637. Elevation dependency of future degradation of permafrost over the Qinghai-Tibet Plateau G. Zhang et al. https://doi.org/10.1088/1748-9326/ace0d1
3638. A robust unsupervised method for outlier set detection A. Sarfraz et al. https://doi.org/10.1016/j.knosys.2025.114274
3639. Effectiveness of using representative subsets of global climate models in future crop yield projections B. Qian et al. https://doi.org/10.1038/s41598-021-99378-7
3640. CMIP6 GCM ensemble members versus global surface temperatures N. Scafetta https://doi.org/10.1007/s00382-022-06493-w
3641. Future perspectives for wind and solar electricity production under high-resolution climate change scenarios M. Russo et al. https://doi.org/10.1016/j.jclepro.2023.136997
3642. Intensifying hydroclimatic extremes and drought dynamics in Ramganga Basin (India): insights from CMIP6 SSP370 ensemble analysis N. Rajouria et al. https://doi.org/10.1007/s12665-025-12580-y
3643. Optimisation of ICON-CLM for the EURO-CORDEX domain: developments, sensitivities, tuning B. Geyer et al. https://doi.org/10.5194/gmd-19-5439-2026
3644. MESMER v1.0.0: consolidating the modular Earth system model emulator into a sustainable research software package V. Bauer et al. https://doi.org/10.5194/gmd-19-5669-2026
3645. Causal influences of El Niño–Southern Oscillation on global dust activities T. Le & D. Bae https://doi.org/10.5194/acp-22-5253-2022
3646. Climate change impact on rain-fed agriculture of Northern Mexico. An analysis based on the CanESM5 model A. Ríos-Romero et al. https://doi.org/10.1007/s40808-024-01959-8
3647. Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under climate change and internal system failure conditions S. Mugume & L. Nakyanzi https://doi.org/10.2166/bgs.2024.030
3648. The extremely warm summer of 2018 in Sweden – set in a historical context R. Wilcke et al. https://doi.org/10.5194/esd-11-1107-2020
3649. Evaluation of the performance of CMIP5 and CMIP6 models in simulating the South Pacific Quadrupole–ENSO relationship Z. Wang et al. https://doi.org/10.1016/j.aosl.2021.100057
3650. Hydrodynamic Changes in the Gulf of California Under Different Climate Change Scenarios: 2015–2100 M. Romero-Robles & D. Salas-de-León https://doi.org/10.3390/cli14040079
3651. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster https://doi.org/10.1029/2021GL094948
3652. Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0 L. Ramme et al. https://doi.org/10.5194/gmd-18-10017-2025
3653. Implementation of the ORACLE (v1.0) organic aerosol composition and evolution module into the EC-Earth3-AerChem model S. Kakavas et al. https://doi.org/10.5194/gmd-19-4271-2026
3654. Contrasting Transition Complexity Between El Niño and La Niña: Observations and CMIP5/6 Models S. Fang & J. Yu https://doi.org/10.1029/2020GL088926
3655. Modeling climate change impacts on streamflow dynamics in the Melka Wakana catchment, Ethiopia T. Geresu et al. https://doi.org/10.2166/wcc.2026.251
3656. Polar dimming and mid-latitude brightening in a warming climate S. Liu et al. https://doi.org/10.1093/nsr/nwag330
3657. Rapid Evaluation Framework for the CMIP7 Assessment Fast Track F. Hoffman et al. https://doi.org/10.5194/gmd-19-7415-2026
3658. Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer https://doi.org/10.1038/s41467-023-36794-5
3659. Seasonal and regional jet stream changes and drivers P. Breul et al. https://doi.org/10.1038/s43017-025-00749-9
3660. Ocean-forcing of cool season precipitation drives ongoing and future decadal drought in southwestern North America R. Seager et al. https://doi.org/10.1038/s41612-023-00461-9
3661. Comparisons of statistical downscaling methods for air temperature over the Qilian Mountains H. Jin et al. https://doi.org/10.1007/s00704-022-04081-w
3662. Precipitation extremes projected to increase and to occur in different times of the year D. Treppiedi et al. https://doi.org/10.1088/1748-9326/ad984f
3663. Limitations of the 1 % experiment as the benchmark idealized experiment for carbon cycle intercomparison in C4MIP A. MacDougall https://doi.org/10.5194/gmd-12-597-2019
3664. Prediction of the future landslide susceptibility scenario based on LULC and climate projections A. Tyagi et al. https://doi.org/10.1007/s10346-023-02088-6
3665. Efficient photovoltaic power prediction to achieve carbon neutrality in China J. Gao et al. https://doi.org/10.1016/j.enconman.2025.119653
3666. The presence of clouds lowers climate sensitivity in the MPI-ESM1.2 climate model A. Mosso et al. https://doi.org/10.5194/acp-24-12793-2024
3667. Research Advances in Projections of Regional Climate Change over China B. Zhou et al. https://doi.org/10.1007/s13351-025-4913-8
3668. Mathematical Modeling and Intensive Simulations Assess Chances for Recovery of the Collapsed Azov Pikeperch Population Y. Tyutyunov & I. Senina https://doi.org/10.3390/math13193232
3669. Role of SST in Seasonal Western North Pacific Anomalous Anticyclone: Insights From AMIP Simulations in CMIP6 S. Wu et al. https://doi.org/10.1029/2023GL107080
3670. Performance evaluation and ranking of CMIP6 global climate models over Vietnam T. Nguyen-Duy et al. https://doi.org/10.2166/wcc.2023.454
3671. Modeling of Intraday Fluctuations in Future Climate Parameters and Their Impact on Perovskite Solar Modules, from a Sustainable Development Perspective W. Latchiba et al. https://doi.org/10.4236/jpee.2026.146004
3672. Towards an improved understanding of the impact of clouds and precipitation on the representation of aerosols over the Boreal Forest in GCMs S. Talvinen et al. https://doi.org/10.5194/acp-25-14449-2025
3673. Effects of systematic predictor selection for statistical downscaling of rainfall in Hawai'i K. Sanfilippo et al. https://doi.org/10.1002/joc.8345
3674. Prospective Evolution of Meteorological Drought in the Haihe River Basin and Its Connection With Large‐Scale Atmospheric Circulations Using CMIP6 Multimodel Ensemble H. Jin et al. https://doi.org/10.1029/2023JD038954
3675. Projected poleward migration of the Southern Ocean CO2 sink region under high emissions P. Mongwe et al. https://doi.org/10.1038/s43247-024-01382-y
3676. Physical inconsistencies in the representation of the ocean heat-carbon nexus in simple climate models R. Séférian et al. https://doi.org/10.1038/s43247-024-01464-x
3677. Downscaling and Wind Resource Assessment of Climatic Wind Speed Data Based on Deep Learning: A Case Study of the Tengger Desert Wind Farm H. Zhou et al. https://doi.org/10.3390/atmos15030271
3678. The capability of CMIP6 models on seasonal precipitation extremes over Central Asia Z. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106364
3679. Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. https://doi.org/10.5194/gmd-13-1179-2020
3680. Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 D. Lafferty & R. Sriver https://doi.org/10.1038/s41612-023-00486-0
3681. Sketching the spatial disparities in heatwave trends by changing atmospheric teleconnections in the Northern Hemisphere F. Cai et al. https://doi.org/10.1038/s41467-024-52254-0
3682. Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki https://doi.org/10.1029/2022JD036826
3683. Future Atlantification of the European Arctic limited under sustained global warming F. De Rovere et al. https://doi.org/10.1038/s41598-025-16161-8
3684. A three-layer parameterization framework for ENSO-runoff coupling: Enhanced flood risk in the Huaihe River Basin under climate change X. Meng et al. https://doi.org/10.1016/j.ejrh.2026.103562
3685. Irreversible loss in marine ecosystem habitability after a temperature overshoot Y. Santana-Falcón et al. https://doi.org/10.1038/s43247-023-01002-1
3686. Limited global effect of climate-Greenland ice sheet coupling in NorESM2 under a high-emission scenario K. Haubner et al. https://doi.org/10.5194/esd-17-57-2026
3687. Skillful decadal prediction of unforced southern European summer temperature variations L. Borchert et al. https://doi.org/10.1088/1748-9326/ac20f5
3688. A short note on the use of daily climate data to calculate Humidex heat‐stress indices E. Diaconescu et al. https://doi.org/10.1002/joc.7833
3689. Impact of climate change on the habitat range of monarch butterfly (Danaus plexippus) S. Ragab et al. https://doi.org/10.1038/s41598-025-17443-x
3690. A vegetação nativa do Cerrado é um refúgio para as aves na trajetória atual da mudança climática J. Hidasi‐Neto et al. https://doi.org/10.1111/aec.13336
3691. Unusually weak signal of summer surface air temperature change over North China F. Cheng et al. https://doi.org/10.1002/joc.8413
3692. Projected warming patterns across the Canadian prairies under CMIP6 scenarios: Terrain-informed bias-corrected temperature projections using machine learning Z. Noorisameleh & D. Sauchyn https://doi.org/10.1016/j.teadva.2026.200158
3693. Weather Index Insurance Can Offset Heat‐Induced Rice Losses Under Global Warming J. Zhang et al. https://doi.org/10.1029/2021EF002534
3694. Projected changes in early summer ridging and drought over the Central Plains B. Cook et al. https://doi.org/10.1088/1748-9326/ac8e1a
3695. An ESMValTool-based framework for sanity checks, physical consistency and climate fidelity during model development – ICONEval v1.0 A. Lauer et al. https://doi.org/10.5194/gmd-19-8731-2026
3696. Projection of future climate change and precipitation extremes over the Canadian Lake Erie and Lake Ontario basins under global warming Y. Liu et al. https://doi.org/10.3389/frwa.2026.1774999
3697. A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. https://doi.org/10.1038/s41597-024-03948-z
3698. Climate Change Impacts on Agroforestry Suitability in the Amazon: CMIP6-Based Projections for Theobroma grandiflorum W. Corrêa et al. https://doi.org/10.3390/cli14080168
3699. Wind resource evolution in Europe under different scenarios of climate change characterised by the novel Shared Socioeconomic Pathways A. Martinez & G. Iglesias https://doi.org/10.1016/j.enconman.2021.113961
3700. A deep-learning real-time bias correction method for significant wave height forecasts in the Western North Pacific W. Zhang et al. https://doi.org/10.1016/j.ocemod.2023.102289
3701. Evolution of Drought Trends under Climate Change Scenarios in Karst Basin C. Mo et al. https://doi.org/10.3390/w15101934
3702. Antarctic sea-ice expansion and Southern Ocean cooling linked to tropical variability E. Chung et al. https://doi.org/10.1038/s41558-022-01339-z
3703. QBO Phase Synchronization in CMIP6 Historical Simulations Attributed to Ozone Forcing N. Butchart et al. https://doi.org/10.1029/2023GL104401
3704. Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. https://doi.org/10.1525/elementa.265
3705. Population exposure to compound extreme events in India under different emission and population scenarios J. Das et al. https://doi.org/10.1016/j.scitotenv.2021.150424
3706. Heterogeneous effects of climate change on displacement-inducing disasters R. Beyer et al. https://doi.org/10.3389/fclim.2024.1260028
3707. Spatiotemporal variability of future water sustainability using reliability resilience vulnerability framework Z. Hammad & E. Chung https://doi.org/10.1007/s00704-024-04949-z
3708. Southern Ocean heat buffer constrained by present-day ENSO teleconnection G. Wang et al. https://doi.org/10.1038/s41612-024-00731-0
3709. Coordinating an operational data distribution network for CMIP6 data R. Petrie et al. https://doi.org/10.5194/gmd-14-629-2021
3710. Analysis of heatwave characteristics under climate change over three highly populated cities of South India: a CMIP6-based assessment S. Nandi & S. Swain https://doi.org/10.1007/s11356-022-22398-x
3711. The Warm Arctic—Cold Eurasia Pattern and Its Key Region in Winter in CMIP6 Model Simulations L. Zhao et al. https://doi.org/10.1007/s00376-022-2201-4
3712. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. https://doi.org/10.5194/gmd-15-6115-2022
3713. Climate-driven warming, deoxygenation, and desertification in large marine ecosystems R. Venegas et al. https://doi.org/10.1016/j.jmarsys.2025.104053
3714. Climate-change-informed resilience evolution of underground pipeline systems G. Qin et al. https://doi.org/10.1016/j.ress.2026.113278
3715. Uncertainty of ENSO-amplitude projections in CMIP5 and CMIP6 models G. Beobide-Arsuaga et al. https://doi.org/10.1007/s00382-021-05673-4
3716. The Impacts of Aerosol Emissions on Historical Climate in UKESM1 J. Seo et al. https://doi.org/10.3390/atmos11101095
3717. A strengthening yet less extreme Atlantic–European jet during winter S. Brönnimann et al. https://doi.org/10.1038/s41561-026-02069-z
3718. Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing E. Liao et al. https://doi.org/10.1029/2021GL094021
3719. Deep‐learning‐based harmonization and super‐resolution of near‐surface air temperature from CMIP6 models (1850–2100) X. Wei et al. https://doi.org/10.1002/joc.7926
3720. Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 X. Jiang et al. https://doi.org/10.1038/s41597-023-02151-w
3721. Cloud Overlap Features from Multi-Year Cloud Radar Observations at the SACOL Site and Comparison with Satellites X. Yang et al. https://doi.org/10.3390/rs16020218
3722. Climate change impacts on human health in Portugal based on downscaled CMIP6 future climate scenarios: an analysis using thermal comfort indices M. Teixeira et al. https://doi.org/10.1088/2752-5295/ae4b5e
3723. Projected climate extremes and compound hydro-meteorological stressors across India based on CMIP6 multi-model ensembles M. Singh et al. https://doi.org/10.1007/s00704-026-06415-4
3724. Growth phenology adjusts to seasonal changes in water availability in coexisting evergreen and deciduous mediterranean oaks F. Campelo et al. https://doi.org/10.1016/j.fecs.2023.100134
3725. Decomposition of Fast and Slow Cloud Responses to Quadrupled CO2 Forcing in BCC-AGCM2.0 over East Asia X. Zhou et al. https://doi.org/10.1007/s00376-022-1441-7
3726. Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure precursor Y. Tao et al. https://doi.org/10.1088/1748-9326/ad7522
3727. Substrate Carbon Controls Regional Divergence of Wetland Biofilm Carbon Sinks under Climate Warming K. Wang et al. https://doi.org/10.1021/acs.est.6c03534
3728. Predicting the potential distribution of three invasive insect pests (Tuta absoluta, Aleurodicus rugioperculatus and Phenacoccus manihoti) under future climate scenarios in India based on CMIP6 projections G. Govindharaj et al. https://doi.org/10.1007/s00704-024-05315-9
3729. Higher emissions scenarios lead to more extreme flooding in the United States H. Kim & G. Villarini https://doi.org/10.1038/s41467-023-44415-4
3730. Change in future climate due to Antarctic meltwater B. Bronselaer et al. https://doi.org/10.1038/s41586-018-0712-z
3731. Integrated spatio-temporal and environmental modelling of water scarcity in Saudi Arabia using shared socioeconomic pathways A. Likun et al. https://doi.org/10.1016/j.envc.2025.101151
3732. Climate change projections from Coupled Model Intercomparison Project phase 5 multi‐model weighted ensembles for Mexico, the North American monsoon, and the mid‐summer drought region G. Colorado‐Ruiz et al. https://doi.org/10.1002/joc.5773
3733. Study on the concept and framework of synergy between mitigation and adaptation H. Yan et al. https://doi.org/10.1016/j.accre.2025.11.002
3734. Ensemble Bayesian Model Averaging Projections of Wind‐Speed Extremes for Wind Energy Applications Over China Under Climate Change X. Zhao et al. https://doi.org/10.1029/2023JD038806
3735. Addressing Long-Term Operational Risk Management in Port Docks under Climate Change Scenarios—A Spanish Case Study Á. Campos et al. https://doi.org/10.3390/w11102153
3736. Carbon neutrality timing controls future tropical cyclone intensity and precipitation over the western North Pacific M. Lee et al. https://doi.org/10.1038/s43247-026-03317-1
3737. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error A. Jones et al. https://doi.org/10.1002/2017GL075933
3738. Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: Role of the Ice Sheet Surface P. Alexander et al. https://doi.org/10.1029/2018JF004772
3739. Flammable futures—storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia S. Corning et al. https://doi.org/10.1088/1748-9326/ad7bcc
3740. Regional Perspective of Hadley Circulation and Its Uncertainties among Different Datasets: Biases of ENSO-Related Hadley Circulation in CMIP Models W. Wang et al. https://doi.org/10.1007/s00376-025-4459-9
3741. Understanding CMIP6 biases in the representation of the Greater Horn of Africa long and short rains K. Schwarzwald et al. https://doi.org/10.1007/s00382-022-06622-5
3742. Escalating wildfire risks in Brazilian biomes under climate change scenarios G. Torsoni et al. https://doi.org/10.1007/s11069-026-08176-9
3743. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng https://doi.org/10.1007/s40641-024-00194-8
3744. Evaluation of annual trends in carbon cycle variables simulated by CMIP6 Earth system models in China Z. Li et al. https://doi.org/10.5194/gmd-18-8703-2025
3745. The role of sea ice in present and future Arctic amplification E. Chung et al. https://doi.org/10.1038/s43247-025-02834-9
3746. Role of natural halogen chemistry on the evolution of global stratospheric ozone depletion J. Villamayor et al. https://doi.org/10.1038/s41467-026-76600-6
3747. Spatio-Temporal Analysis of Changes in the Iranian Summer Subtropical High-Pressure System from a Climate Change Perspective M. Fatahian et al. https://doi.org/10.3390/atmos16030273
3748. Anthropogenic influences on 2022-like summer heatwaves over the Yangtze River valley and projected changes in the likelihood of the event M. Zhang et al. https://doi.org/10.1088/2515-7620/ae2a98
3749. Enhanced jet stream waviness induced by suppressed tropical Pacific convection during boreal summer X. Sun et al. https://doi.org/10.1038/s41467-022-28911-7
3750. Event-based models to understand the scale of the impact of extremes C. Otto et al. https://doi.org/10.1038/s41560-020-0562-4
3751. THE DYNAMICS OF RESIDENTIAL SORTING AND HEALTH: IMPLICATIONS OF CLIMATE CHANGE IN THE UNITED STATES S. Mathes https://doi.org/10.1111/iere.12739
3752. Impact of horizontal resolution on monsoon precipitation for CORDEX-South Asia: A regional earth system model assessment A. Mishra et al. https://doi.org/10.1016/j.atmosres.2021.105681
3753. Arctic Amplification of marine heatwaves under global warming Y. He et al. https://doi.org/10.1038/s41467-024-52760-1
3754. Modelling Distributions of Asian and African Rice Based on MaxEnt Y. Lin et al. https://doi.org/10.3390/su15032765
3755. Carbon cycle feedbacks in an idealized simulation and a scenario simulation of negative emissions in CMIP6 Earth system models A. Asaadi et al. https://doi.org/10.5194/bg-21-411-2024
3756. Including Host Availability and Climate Change Impacts on the Global Risk Area of Carpomya pardalina (Diptera: Tephritidae) Y. Qin et al. https://doi.org/10.3389/fevo.2021.724441
3757. Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks T. Mulder et al. https://doi.org/10.1029/2023MS003631
3758. Asymmetric impacts of Arctic sea ice anomalies on El Niño-Southern Oscillation S. Chen et al. https://doi.org/10.1038/s41612-025-01168-9
3759. ENSO teleconnections and atmospheric mean state in idealised simulations E. Di Carlo et al. https://doi.org/10.1007/s00382-022-06261-w
3760. Atmosphere-driven processes in shaping long-term climate variability in Greenland and the broader subpolar North Atlantic Z. Li et al. https://doi.org/10.1007/s00382-025-07852-z
3761. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. https://doi.org/10.5194/essd-13-4385-2021
3762. Simulating the impact of climate change on the suitable area for cotton in Xinjiang based on SDMs model H. Zhang et al. https://doi.org/10.1016/j.indcrop.2025.120750
3763. Shifting streamflow patterns in the Upper Jhelum Basin, Western Himalaya: implications for water availability under changing climate A. Bhat et al. https://doi.org/10.1080/02626667.2026.2708956
3764. CMIP5 Scientific Gaps and Recommendations for CMIP6 R. Stouffer et al. https://doi.org/10.1175/BAMS-D-15-00013.1
3765. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. https://doi.org/10.5194/acp-23-8749-2023
3766. The past, current and future habitat range of the Spider-tailed Viper, Pseudocerastes urarachnoides (Serpentes: Viperidae) in western Iran and eastern Iraq as revealed by habitat modelling B. Fathinia et al. https://doi.org/10.1080/09397140.2020.1757910
3767. Do climate and land use change significantly affect the level of sediment connectivity at different spatiotemporal scales? S. Liu et al. https://doi.org/10.1002/esp.70185
3768. How climate models reproduce the observed increase in extreme precipitation over Europe B. Steensen et al. https://doi.org/10.1371/journal.pclm.0000442
3769. Combined Impacts of the Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation on Summer Precipitation in Eastern China During the Medieval Climate Anomaly and Little Ice Age Y. Ge et al. https://doi.org/10.1029/2023JD038920
3770. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation V. Eyring et al. https://doi.org/10.1038/s41561-024-01527-w
3771. Agreement and Uncertainty Among Climate Change Impact Models: A Synthesis of Sagebrush Steppe Vegetation Projections S. Zimmer et al. https://doi.org/10.1016/j.rama.2020.12.006
3772. Land surface model underperformance tied to specific meteorological conditions J. Cranko Page et al. https://doi.org/10.5194/bg-23-263-2026
3773. North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. https://doi.org/10.1073/pnas.2414241121
3774. Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations D. Watson-Parris et al. https://doi.org/10.5194/gmd-9-3093-2016
3775. Ninetine spiders in Brazilian Caatinga and Cerrado: revision of Kambiwa and description of Sertana gen. nov. (Araneae, Pholcidae), with analyses of predicted range shifts due to climate change B. Huber et al. https://doi.org/10.5852/ejt.2026.1054.3276
3776. Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China G. Wang et al. https://doi.org/10.3390/tropicalmed7120431
3777. Temperature extremes Projections over Bangladesh from CMIP6 Multi-model Ensemble M. Akter et al. https://doi.org/10.1007/s00704-024-05173-5
3778. Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench S. Rasp & N. Thuerey https://doi.org/10.1029/2020MS002405
3779. Nonlinear plant–plant interactions modulate impact of extreme drought and recovery on a Mediterranean ecosystem S. Haberstroh et al. https://doi.org/10.1111/nph.17522
3780. Interplay between climate change and climate variability: the 2022 drought in Central South America P. Arias et al. https://doi.org/10.1007/s10584-023-03664-4
3781. Intraseasonal Precipitation Variability over West Africa under 1.5 °C and 2.0 °C Global Warming Scenarios: Results from CORDEX RCMs O. Ogega et al. https://doi.org/10.3390/cli8120143
3782. DAMV: a symbiotic fingerprint of AMV unveiled from the deep Atlantic J. Yang et al. https://doi.org/10.1007/s00382-026-08134-y
3783. Doing better rather than promising more: A basic principle applicable to both climate modelling and climate policies H. Douville & J. Añel https://doi.org/10.1371/journal.pclm.0000466
3784. Indo-Pacific warm pool present warming attribution and future projection constraint W. Bai et al. https://doi.org/10.1088/1748-9326/ac5edf
3785. Hysteretic temperature sensitivity of wetland CH4 fluxes explained by substrate availability and microbial activity K. Chang et al. https://doi.org/10.5194/bg-17-5849-2020
3786. Teleconnections link to summer heat extremes in the south-central U.S.: Insights from CMIP5 and CMIP6 simulations J. Ryu & S. Kang https://doi.org/10.1016/j.wace.2023.100635
3787. Amplification of compound hot-dry extremes and associated population exposure over East Africa B. Ayugi et al. https://doi.org/10.1007/s10584-024-03802-6
3788. Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections H. Goelzer et al. https://doi.org/10.5194/tc-14-1747-2020
3789. Fingerprinting Heatwaves and Cold Spells and Assessing Their Response to Climate Change Using Large Deviation Theory V. Galfi & V. Lucarini https://doi.org/10.1103/PhysRevLett.127.058701
3790. Simulated contribution of the interdecadal Pacific oscillation to the west Eurasia cooling in 1998–2013 L. Suo et al. https://doi.org/10.1088/1748-9326/ac88e5
3791. An integrated sequential deep learning framework with experience replay for large-scale species distribution modeling under data scarcity F. Santos et al. https://doi.org/10.3389/fevo.2026.1904087
3792. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. https://doi.org/10.1029/2020JD033483
3793. Stratospheric aerosol injection does not cause stronger Asian monsoon drying than greenhouse gas mitigation C. He et al. https://doi.org/10.1088/1748-9326/ae2282
3794. Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China X. Yao et al. https://doi.org/10.1016/j.oneear.2024.09.016
3795. Seamless seasonal to multi-annual predictions of temperature and Standardized Precipitation Index by constraining transient climate model simulations J. Acosta Navarro et al. https://doi.org/10.5194/esd-16-1723-2025
3796. Evaluation of Long‐Term Temperature Trend and Variability in CMIP6 Multimodel Ensemble Y. Duan et al. https://doi.org/10.1029/2021GL093227
3797. Integrating deep learning into future hydrological modeling under climate change scenarios in an arid region M. Nikoo https://doi.org/10.1016/j.jaridenv.2026.105577
3798. MESMER-M: an Earth system model emulator for spatially resolved monthly temperature S. Nath et al. https://doi.org/10.5194/esd-13-851-2022
3799. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. https://doi.org/10.5194/gmd-11-5027-2018
3800. Storylines of Maritime Continent dry period precipitation changes under global warming R. Ghosh & T. Shepherd https://doi.org/10.1088/1748-9326/acb788
3801. Decision making for transformative change: exploring model use, structural uncertainty and deep leverage points for change in decision making under deep uncertainty S. Few et al. https://doi.org/10.3389/fclim.2023.1129378
3802. Modelling wildfire and post-fire carbon budgets of a boreal forest under a changing climate M. Islam et al. https://doi.org/10.1016/j.gloplacha.2025.105230
3803. Description of the resolution hierarchy of the global coupled HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments M. Roberts et al. https://doi.org/10.5194/gmd-12-4999-2019
3804. A generalized methodology for ranking climate models based on climate indices for sector-specific studies: An application to the Mekong sub-basin T. Baghel et al. https://doi.org/10.1016/j.scitotenv.2022.154551
3805. Future changes in mean and extreme precipitation over the Mediterranean and Sahara regions using bias‐corrected CMIP6 models H. Babaousmail et al. https://doi.org/10.1002/joc.7644
3806. Steps Toward Modelling the Past and Future North Sea Ecosystem With a Focus on Light Climate D. Thewes et al. https://doi.org/10.3389/fmars.2022.818383
3807. Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6 S. Karmouche et al. https://doi.org/10.5194/esd-14-309-2023
3808. Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the Eastern Shore of Virginia, United States T. Tran & V. Lakshmi https://doi.org/10.1016/j.scitotenv.2024.174289
3809. Depiction of Drought Over Africa in the Light of Changing Climate from CMIP6 Models I. Yahaya et al. https://doi.org/10.1007/s41748-024-00502-0
3810. Past and future change in global river flows L. Gudmundsson et al. https://doi.org/10.1038/s43017-025-00745-z
3811. Climate and stratospheric ozone during the mid-Holocene and Last Interglacial simulated by MRI-ESM2.0 Y. Watanabe et al. https://doi.org/10.5194/cp-21-2243-2025
3812. Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin M. Shafeeque et al. https://doi.org/10.1007/s00704-023-04621-y
3813. Impacts of natural and anthropogenic forcings on historical and future changes in global-land surface air temperature in CMIP6–DAMIP simulations C. Xu et al. https://doi.org/10.1007/s10584-024-03686-6
3814. Model and proxy evidence for coordinated changes in the hydroclimate of distant regions over the Last Millennium P. Roldán-Gómez et al. https://doi.org/10.5194/cp-19-2361-2023
3815. Characterizing Catchment‐Scale Nitrogen Legacies and Constraining Their Uncertainties F. Sarrazin et al. https://doi.org/10.1029/2021WR031587
3816. How well CMIP6 models simulate key boundary conditions affecting South American climate? Insights for regional modeling efforts P. Arias et al. https://doi.org/10.1007/s00382-025-07704-w
3817. From North/Central America to the World? Assessing the potential of Pycnoderes quadrimaculatusGuerin‐Meneville (Heteroptera: Miridae) as a pest through Ecological Niche Models E. Minghetti et al. https://doi.org/10.1002/ps.7525
3818. Alternate Histories: Synthetic Large Ensembles of Sea‐Air CO2 Flux H. Olivarez et al. https://doi.org/10.1029/2021GB007174
3819. The effect of surface sink saturation and emission altitude on hydrogen's atmospheric impact E. Gibney et al. https://doi.org/10.1039/D5EA00139K
3820. A strong constraint on radiative forcing of well-mixed greenhouse gases J. Feng et al. https://doi.org/10.1038/s41586-026-10289-x
3821. Lake Ice Will Be Less Safe for Recreation and Transportation Under Future Warming R. Woolway et al. https://doi.org/10.1029/2022EF002907
3822. Multivariate bias correction and downscaling of climate models with trend-preserving deep learning F. Wang & D. Tian https://doi.org/10.1007/s00382-024-07406-9
3823. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. https://doi.org/10.1002/joc.7566
3824. Granger causal inference for climate change attribution M. Risser et al. https://doi.org/10.1088/2752-5295/add046
3825. Cenozoic stable isotope constraints on the Eurasian continental interior hydroclimate response to high CO2 E. Driscoll et al. https://doi.org/10.1016/j.epsl.2024.118623
3826. Future changes in rainy seasons in the Upper Blue Nile Basin: Impacts on agriculture and water resources F. Enyew et al. https://doi.org/10.1016/j.nhres.2025.06.002
3827. Optimizing climate model selection in regional studies using an adaptive weather type based framework: a case study for extreme heat in Belgium F. Serras et al. https://doi.org/10.1007/s00382-024-07432-7
3828. Modelling Climatically Suitable Areas for Mahogany (Swietenia macrophylla King) and Their Shifts across Neotropics: The Role of Protected Areas R. Herrera-Feijoo et al. https://doi.org/10.3390/f14020385
3829. Modelling considerations for research on ocean alkalinity enhancement (OAE) K. Fennel et al. https://doi.org/10.5194/sp-2-oae2023-9-2023
3830. Where are the coexisting parallel climates? Large ensemble climate projections from the point of view of chaos theory M. Herein et al. https://doi.org/10.1063/5.0136719
3831. Assessment of the Applicability of CMIP6 Global Climate Models for Predicting Climate Change and Natural Hazard Frequency in the Magadan Oblast A. Shikhov et al. https://doi.org/10.3103/S1068373926010024
3832. Multi-centennial Holocene climate variability in proxy records and transient model simulations T. Askjær et al. https://doi.org/10.1016/j.quascirev.2022.107801
3833. Evaluation of Climate in CMIP6 Models over Two Third Pole Subregions with Contrasting Circulation Systems Y. Li et al. https://doi.org/10.1175/JCLI-D-21-0214.1
3834. Land Surface Processes Create Patterns in Atmospheric Residence Time of Water O. Tuinenburg & R. van der Ent https://doi.org/10.1029/2018JD028871
3835. Accelerated warming of High Mountain Asia predicted at multiple years ahead S. Hu et al. https://doi.org/10.1016/j.scib.2024.09.023
3836. Seasonal to Decadal Predictions With MIROC6: Description and Basic Evaluation T. Kataoka et al. https://doi.org/10.1029/2019MS002035
3837. Future projections of surface dust concentrations in major dust source regions of the Mesopotamian plains A. Abadi et al. https://doi.org/10.1016/j.atmosres.2026.109282
3838. On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models M. Norgate et al. https://doi.org/10.1002/joc.8367
3839. Evolution of lagoon formation and desiccation along the southeast Caspian coast: A historical and modern perspective H. Lahijani et al. https://doi.org/10.1002/jqs.70058
3840. Comparisons between CMIP5 and CMIP6 models in simulations of the climatology and interannual variability of the east asian summer Monsoon T. Yu et al. https://doi.org/10.1007/s00382-022-06408-9
3841. Integrated assessment model diagnostics: key indicators and model evolution M. Harmsen et al. https://doi.org/10.1088/1748-9326/abf964
3842. Origins of the Excessive Westward Extension of ENSO SST Simulated in CMIP5 and CMIP6 Models W. Jiang et al. https://doi.org/10.1175/JCLI-D-20-0551.1
3843. Streamflow Variation under Climate Conditions Based on a Soil and Water Assessment Tool Model: A Case Study of the Bailong River Basin S. Li et al. https://doi.org/10.3390/su16103901
3844. Differentiated Cloud-Radiation Characteristics over East Asian Subtropical and Tropical Regions Revealed by CMIP6 Models R. WU et al. https://doi.org/10.3724/j.1006-8775.2024.046
3845. Effective resolution in high resolution global atmospheric models for climate studies R. Klaver et al. https://doi.org/10.1002/asl.952
3846. The methodological framework for DRIP: Drought representation index for CMIP model performance L. Almeida et al. https://doi.org/10.1016/j.mex.2025.103249
3847. The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al. https://doi.org/10.5194/gmd-18-9385-2025
3848. Projection of droughts in Amu river basin for shared socioeconomic pathways CMIP6 O. Salehie et al. https://doi.org/10.1007/s00704-022-04097-2
3849. Prediction of Potential Suitable Distribution of Liriodendron chinense (Hemsl.) Sarg. in China Based on Future Climate Change Using the Optimized MaxEnt Model J. Bai et al. https://doi.org/10.3390/f15060988
3850. Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions T. Kim et al. https://doi.org/10.1038/s41597-025-05366-1
3851. Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire Y. Yu et al. https://doi.org/10.1038/s41467-022-28853-0
3852. Assessing the improvement potentials of climate model partitioning and time-variant feature extraction for soil organic carbon prediction Y. Bao et al. https://doi.org/10.1016/j.catena.2024.108014
3853. Climate change drives spatiotemporal mismatches between bivalves and mangrove in the Colombian Pacific coast J. Josephraj Selvaraj & C. Victoriano Portilla-Cabrera https://doi.org/10.1016/j.jnc.2024.126679
3854. Characterization of the future northeast monsoon rainfall based on the clustered climate zone under CMIP6 in Peninsular Malaysia Z. Sa'adi et al. https://doi.org/10.1016/j.atmosres.2024.107407
3855. High time- and spatial-resolution climate scenarios of the DISTENDER project according to statistical and dynamical downscaling R. Monjo et al. https://doi.org/10.1016/j.cliser.2025.100623
3856. Increasing Hourly Population Exposure to Moderate Cold Under Climate Warming H. Zhu et al. https://doi.org/10.1007/s13753-026-00702-4
3857. Influence of Ozone Forcing on 21st Century Southern Hemisphere Surface Westerlies in CMIP6 Models L. Revell et al. https://doi.org/10.1029/2022GL098252
3858. Continued Warming of the Permafrost Regions Over the Northern Hemisphere Under Future Climate Change G. Hu et al. https://doi.org/10.1029/2022EF002835
3859. Assessment of CMIP6 in simulating precipitation over arid Central Asia H. Guo et al. https://doi.org/10.1016/j.atmosres.2021.105451
3860. Impact of warming on rainfall changes in damaging Philippine typhoons using high-resolution convection-permitting models R. Delfino et al. https://doi.org/10.5194/nhess-26-3579-2026
3861. Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming W. Liu et al. https://doi.org/10.1038/s41558-022-01320-w
3862. Spatiotemporal Evolution and Future Scenario Projections of Ozone in Harbin Based on XGBoost-CMIP6 Coupling 思. 李 https://doi.org/10.12677/ojns.2026.145076
3863. Sahel Rainfall Projections Constrained by Past Sensitivity to Global Warming J. Schewe & A. Levermann https://doi.org/10.1029/2022GL098286
3864. Transient and Quasi‐Equilibrium Climate States at 1.5°C and 2°C Global Warming A. King et al. https://doi.org/10.1029/2021EF002274
3865. Climate change effects on the spatial and temporal distribution of extreme precipitation in the Mid-Atlantic region M. Mirzaei et al. https://doi.org/10.1016/j.uclim.2025.102382
3866. Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
3867. Projected ENSO Teleconnection Changes in CMIP6 S. McGregor et al. https://doi.org/10.1029/2021GL097511
3868. Comparison of Short‐Term Cloud Feedbacks at Top of the Atmosphere and the Surface in Observations and AMIP6 Models X. Wang et al. https://doi.org/10.1029/2023JD039936
3869. Probabilistic Evaluation of Drought in CMIP6 Simulations S. Papalexiou et al. https://doi.org/10.1029/2021EF002150
3870. How reliable are Coupled Model Intercomparison Project Phase 6 models in representing the Asian summer monsoon anticyclone? B. Singh et al. https://doi.org/10.1002/joc.7646
3871. Investigating the feedbacks between CO2, vegetation and the AMOC in a coupled climate model E. Armstrong et al. https://doi.org/10.1007/s00382-019-04634-2
3872. Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios M. Chen et al. https://doi.org/10.1038/s41597-020-00669-x
3873. Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent A. Rahman & S. Pekkat https://doi.org/10.1038/s41598-024-52275-1
3874. Resilience of offshore wind resources in Australia under climate change using CMIP6 CORDEX projections A. Meucci et al. https://doi.org/10.1016/j.egycc.2026.100236
3875. Trends and future projections of Olea flowering in the western Mediterranean: The example of the Alentejo region (Portugal) A. Picornell et al. https://doi.org/10.1016/j.agrformet.2023.109559
3876. The ocean losing its breath under the heatwaves C. Li et al. https://doi.org/10.1038/s41467-024-51323-8
3877. Interpolation of environmental data using deep learning and model inference C. Ibebuchi & I. Abu https://doi.org/10.1088/2632-2153/ad4b94
3878. An evaluation framework for downscaling and bias correction in climate change impact studies E. Vogel et al. https://doi.org/10.1016/j.jhydrol.2023.129693
3879. Modelling green hydrogen scenarios in coastal Morocco based on offshore wind energy potential Y. Zekeik et al. https://doi.org/10.1016/j.ijhydene.2025.150513
3880. Conservation gaps and spatial priorities in threatened South American ecotones E. Vitor do Couto et al. https://doi.org/10.20935/AcadBiol8433
3881. Enhancing accuracy in streamflow prediction under climate change scenarios based on an integrated machine learning–metaheuristic optimization approach S. Heshamati et al. https://doi.org/10.2166/wcc.2025.499
3882. JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2 A. Wiltshire et al. https://doi.org/10.5194/gmd-13-483-2020
3883. Transient climate simulations of the Holocene (version 1) – experimental design and boundary conditions Z. Tian et al. https://doi.org/10.5194/gmd-15-4469-2022
3884. Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios A. Duyar et al. https://doi.org/10.1002/ece3.70693
3885. Projected thermal stress and regional vulnerability of Manila clam production in Korean waters under climate change scenarios Y. Jung et al. https://doi.org/10.1016/j.ecss.2025.109209
3886. Conservation status and spatiotemporal distribution of fish with socioeconomic importance in the Amazonia-Cerrado transition zone C. MANCINI et al. https://doi.org/10.1590/1809-4392202400921
3887. Uneven patterns of palm species loss due to climate change are not driven by their sexual systems C. Cássia-Silva et al. https://doi.org/10.1007/s10531-023-02700-0
3888. Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model P. Lind et al. https://doi.org/10.1007/s00382-022-06589-3
3889. Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling C. Kadow et al. https://doi.org/10.5334/jors.253
3890. Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs Y. Yue et al. https://doi.org/10.1016/j.atmosres.2021.105828
3891. Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models X. Zou et al. https://doi.org/10.3390/atmos14101531
3892. Coherent Mechanistic Patterns of Tropical Land Hydroclimate Changes S. Duan et al. https://doi.org/10.1029/2022GL102285
3893. Tracking the Effects of Climate Change on the Distribution of Plecia nearctica (Diptera, Bibionidae) in the USA Using MaxEnt and GIS H. Abou-Shaara et al. https://doi.org/10.3390/d14080690
3894. A robust multi-criteria and rank-stability framework for station-scale evaluation and ranking of CMIP6 GCM precipitation over the Jhelum River Basin M. Lone et al. https://doi.org/10.3389/fclim.2026.1880364
3895. Predicting the current and future global distribution of the invasive freshwater hydrozoan Craspedacusta sowerbii G. Marchessaux et al. https://doi.org/10.1038/s41598-021-02525-3
3896. Transient overturning changes cause an upper-ocean nutrient decline in a warming climate S. Sun et al. https://doi.org/10.1038/s41467-024-52200-0
3897. Assessment and future projections of storm surge using CMIP6 models in the Indo-Pacific region K. Saha et al. https://doi.org/10.1016/j.ocemod.2025.102560
3898. Navigating challenges/opportunities in developing smart agricultural extension platforms: data source, compilation, and conversion J. Kpodo & A. Nejadhashemi https://doi.org/10.1016/j.inpa.2026.06.004
3899. Various ways of using empirical orthogonal functions for climate model evaluation R. Benestad et al. https://doi.org/10.5194/gmd-16-2899-2023
3900. Estimating multisite precipitation by a stepwise NHMM-VAR model considering the spatiotemporal correlations of precipitation amounts X. Zha et al. https://doi.org/10.1016/j.jhydrol.2022.128065
3901. How will drought evolve in global arid zones under different future emission scenarios? F. Wu et al. https://doi.org/10.1016/j.ejrh.2024.101661
3902. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. https://doi.org/10.1029/2018MS001464
3903. Future changes in the wintertime ENSO-NAO teleconnection under greenhouse warming X. Geng et al. https://doi.org/10.1038/s41612-024-00627-z
3904. AMOC slowdown amplifies North Atlantic salinity variability to unprecedented levels T. Iwakiri et al. https://doi.org/10.1038/s41467-026-73838-y
3905. Attributing observed permafrost warming in the northern hemisphere to anthropogenic climate change L. Gudmundsson et al. https://doi.org/10.1088/1748-9326/ac8ec2
3906. Snow cover duration delays spring green-up in the northern hemisphere the most for grasslands X. Wang et al. https://doi.org/10.1016/j.agrformet.2024.110130
3907. Efeitos das mudanças climáticas na região norte de Minas Gerais D. Roberto Neres et al. https://doi.org/10.59824/rmrh.v6.329
3908. Machine Learning for Bias-Correction of Extreme Precipitation Indices Over West Africa I. Okeyode et al. https://doi.org/10.1007/s41748-025-00961-z
3909. Slipped through the narrow door: Effects of climate change on the distribution and conservation of a vulnerable tiger gecko, Goniurosaurus luii, from China and Vietnam H. Ngo et al. https://doi.org/10.3897/natureconservation.59.151689
3910. Assessing the impacts of land use and climate change on streamflow generation in the Nowrangpur catchment based on the SWAT–land-use update tool S. Kaur & S. Chavan https://doi.org/10.2166/wcc.2024.265
3911. Ocean acidification as a planetary signal linking Earth system memory to deep-time lithosphere–ocean geochemical interactions S. Das & M. Roy Choudhury https://doi.org/10.1016/j.earscirev.2026.105623
3912. Tropical tropospheric warming pattern explained by shifts in convective heating in the Matsuno–Gill model P. Keil et al. https://doi.org/10.1002/qj.4526
3913. Future warming exacerbates heatwave-ozone compound extremes in China M. Cui et al. https://doi.org/10.1038/s41612-025-01218-2
3914. Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning A. Kheir et al. https://doi.org/10.1088/1748-9326/ad75ab
3915. Overview of the Spectral Coherence between Planetary Resonances and Solar and Climate Oscillations N. Scafetta & A. Bianchini https://doi.org/10.3390/cli11040077
3916. Forecast-based attribution of extratropical cyclones using AI weather models B. Jiménez-Esteve et al. https://doi.org/10.1088/2752-5295/ae714b
3917. Spatial and temporal variability of future extreme precipitation in Bangladesh using CMIP6 models R. Mishu et al. https://doi.org/10.2166/wcc.2025.415
3918. The Gulf Stream and Kuroshio Current are synchronized T. Kohyama et al. https://doi.org/10.1126/science.abh3295
3919. Projection of extreme heat- and cold-related mortality in Sweden based on the spatial synoptic classification O. Fonseca-Rodríguez et al. https://doi.org/10.1016/j.envres.2023.117359
3920. Ice Algae Model Intercomparison Project phase 2 (IAMIP2) H. Hayashida et al. https://doi.org/10.5194/gmd-14-6847-2021
3921. Challenges in drought monitoring and assessment in India S. Aadhar & V. Mishra https://doi.org/10.1016/j.wasec.2022.100120
3922. European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP) M. Demory et al. https://doi.org/10.5194/gmd-13-5485-2020
3923. A clustering-based approach to ocean model–data comparison around Antarctica Q. Sun et al. https://doi.org/10.5194/os-17-131-2021
3924. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-533-2021
3925. Evaluating NEX-GDDP-CMIP6 performance in complex terrain for forecasting key freezing rain factors W. Zou et al. https://doi.org/10.1007/s00704-024-05159-3
3926. Suitability of CMIP6 Models Considering Statistical Downscaling Based on GloH2O and E-OBS Dataset in River Basin Districts of the Southeastern Baltic Sea Basin V. Akstinas et al. https://doi.org/10.3390/atmos16020229
3927. Precipitation-induced abrupt decrease of Siberian wildfire in summer 2022 under continued warming Y. Cho et al. https://doi.org/10.1088/1748-9326/ad5573
3928. Sea Ice Suppression of CO2 Outgassing in the West Antarctic Peninsula: Implications For The Evolving Southern Ocean Carbon Sink E. Shadwick et al. https://doi.org/10.1029/2020GL091835
3929. Impact of Decadal Trends in the Surface Climate of the North Atlantic Subpolar Gyre on the Marine Environment of the Barents Sea V. Koul et al. https://doi.org/10.3389/fmars.2021.778335
3930. Evaluation of CMIP6 for historical temperature and precipitation over the Tibetan Plateau and its comparison with CMIP5 Y. Zhu & S. Yang https://doi.org/10.1016/j.accre.2020.08.001
3931. HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation R. Haarsma et al. https://doi.org/10.5194/gmd-13-3507-2020
3932. A method for estimating the effect of climate change on monthly mean temperatures: September 2023 and other recent record‐warm months in Helsinki, Finland M. Rantanen et al. https://doi.org/10.1002/asl.1216
3933. Regional Warming and Intensifying Extremes: Past and Future Climate in the Bajos Submeridionales Basin, Argentina G. Müller et al. https://doi.org/10.1007/s41748-025-00774-0
3934. Foreseeing drought-prone regions in India under climate change: a comprehensive analysis through the development of Drought Prone Index S. Tayyaba et al. https://doi.org/10.1007/s10661-025-14324-8
3935. Afro-Asian climate response to future solar radiation management T. Adeliyi et al. https://doi.org/10.1016/j.scs.2025.106825
3936. Analysis of CMIP6 atmospheric moisture fluxes and the implications for projections of future change in mean and heavy rainfall I. Watterson et al. https://doi.org/10.1002/joc.6777
3937. Widespread underestimation of ecosystem water use efficiency in CMIP6 models D. Li & S. Wang https://doi.org/10.1016/j.jhydrol.2024.132558
3938. StraitFlux – precise computations of water strait fluxes on various modeling grids S. Winkelbauer et al. https://doi.org/10.5194/gmd-17-4603-2024
3939. Explainable AI in lengthening ENSO prediction from western north pacific precursor L. Deng et al. https://doi.org/10.1016/j.ocemod.2024.102431
3940. Projected Changes to Spring and Summer Precipitation in the Midwestern United States K. Grady et al. https://doi.org/10.3389/frwa.2021.780333
3941. Using Climate Model Decadal Predictions and Statistical Extrapolations of Location-Specific Near-Term Temperature and Precipitation for Infrastructure Engineering Y. Lai & D. Dzombak https://doi.org/10.1061/AOMJAH.AOENG-0015
3942. Little Influence of Asian Anthropogenic Aerosols on Summer Temperature in Central East Asia Since 1960 W. Hua et al. https://doi.org/10.1029/2022GL097946
3943. The Boreal Summer Zonal Wavenumber-3 Trend Pattern and Its Connection with Surface Enhanced Warming Y. Liu et al. https://doi.org/10.1175/JCLI-D-21-0460.1
3944. Evaluation and future projection of marine heatwaves in CMIP6 models in the Indian Ocean J. Sandaruwan et al. https://doi.org/10.1088/2515-7620/ae21a0
3945. Projected Changes in Precipitation Based on the CMIP6 Optimal Multi-Model Ensemble in the Pearl River Basin, China M. He et al. https://doi.org/10.3390/rs15184608
3946. A Morphing-Based Future Scenario Generation Method for Stochastic Power System Analysis Y. Gao et al. https://doi.org/10.3390/su16072762
3947. Amplification of warming-wetting in high mountains and associated mechanisms during the 21st century in Xinjiang, Central Asia R. Chen et al. https://doi.org/10.1007/s10584-024-03834-y
3948. Emerging trans-Eurasian heatwave-drought train in a warming climate J. Jeong et al. https://doi.org/10.1126/sciadv.adr7320
3949. Integrating statistical metrics and spatial network analysis for a multi-scale climate model evaluation T. Anand et al. https://doi.org/10.1007/s12040-025-02615-0
3950. Anthropogenic forcing and subtropical anticyclonic drivers of the August 2022 heatwave in China W. Liang et al. https://doi.org/10.1016/j.wace.2024.100707
3951. Future Projection of Extreme Precipitation Indices over the Qilian Mountains under Global Warming Y. Li et al. https://doi.org/10.3390/ijerph20064961
3952. Modulation of Land Photosynthesis by the Indian Ocean Dipole: Satellite‐Based Observations and CMIP6 Future Projections J. Wang et al. https://doi.org/10.1029/2020EF001942
3953. Assessing the performance of 33 CMIP6 models in simulating the large-scale environmental fields of tropical cyclones Y. Han et al. https://doi.org/10.1007/s00382-021-05986-4
3954. Effects of Soil Texture Datasets on FGOALS-g3 Global Long-Term Simulations K. Xia et al. https://doi.org/10.2151/sola.2024-047
3955. Non-uniform changes of daily precipitation in China: Observations and simulations J. Wang et al. https://doi.org/10.1016/j.wace.2024.100665
3956. Climate model tuning with adaptive supermodeling J. Seneca et al. https://doi.org/10.1063/5.0304768
3957. The 2022-like compound dry and hot extreme in the Northern Hemisphere: Extremeness, attribution, and projection Y. Meng et al. https://doi.org/10.1016/j.atmosres.2023.107009
3958. Climate, weather, and child health: quantifying health co-benefits S. Dasgupta & E. Robinson https://doi.org/10.1088/1748-9326/ad5d09
3959. Daytime-only mean data enhance understanding of land–atmosphere coupling Z. Yin et al. https://doi.org/10.5194/hess-27-861-2023
3960. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al. https://doi.org/10.1029/2022GB007520
3961. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. https://doi.org/10.1029/2020MS002210
3962. When will meteorological droughts become the new normal climatic condition in Central-Southern Chile? F. González-Leiva et al. https://doi.org/10.1080/02626667.2026.2625979
3963. Downscaling bias-corrected climate projections for future heat and cold stress assessment across local climate zones S. Xu et al. https://doi.org/10.1016/j.enbuild.2026.118241
3964. Quantification of The Performance of CMIP6 Models for Dynamic Downscaling in The North Pacific and Northwest Pacific Oceans S. Oh et al. https://doi.org/10.1007/s13143-023-00320-w
3965. Communicating potentially large but non‐robust changes in multi‐model projections of future climate G. Zappa et al. https://doi.org/10.1002/joc.7041
3966. A statistical-dynamical method for projecting temperature across multiple SSPs from a limited subset: A CMIP6 case study X. Xie et al. https://doi.org/10.1016/j.accre.2026.06.030
3967. Bio-Ecological Indicators for Gentiana pneumonanthe L. Climatic Suitability in the Iberian Peninsula T. Freitas et al. https://doi.org/10.3390/plants14182857
3968. Decadal prediction system based on the INM RAS climate model V. Bragina et al. https://doi.org/10.1007/s00382-026-08047-w
3969. Climate change impacts on mesophotic regions of the Great Barrier Reef J. McWhorter et al. https://doi.org/10.1073/pnas.2303336121
3970. Quantification of climate change-driven water stress on thermal power plants in India R. Shinde et al. https://doi.org/10.1016/j.compchemeng.2023.108454
3971. Antarctic sea ice prediction with A convolutional long short-term memory network X. Dong et al. https://doi.org/10.1016/j.ocemod.2024.102386
3972. Exploring the Future of Rainfall Extremes Over CONUS: The Effects of High Emission Climate Change Trajectories on the Intensity and Frequency of Rare Precipitation Events S. Emmanouil et al. https://doi.org/10.1029/2022EF003039
3973. Emergence of anthropogenic precipitation changes in a future warmer climate S. Kusunoki et al. https://doi.org/10.1038/s41612-025-01128-3
3974. Revisiting the modelled cloud radiative feedback on ENSO — the source of model uncertainty W. Xu et al. https://doi.org/10.1007/s00382-025-07728-2
3975. Impact of Subgrid Variation of Water Vapor on Longwave Radiation in a General Circulation Model S. Kim et al. https://doi.org/10.1029/2019MS001926
3976. Future Sea Level Change Under Coupled Model Intercomparison Project Phase 5 and Phase 6 Scenarios From the Greenland and Antarctic Ice Sheets A. Payne et al. https://doi.org/10.1029/2020GL091741
3977. Climate warming contributes to the record-shattering 2022 Pakistan rainfall Y. You et al. https://doi.org/10.1038/s41612-024-00630-4
3978. Contributions of Anthropogenic Aerosol Forcing and Multidecadal Internal Variability to Mid‐20th Century Arctic Cooling—CMIP6/DAMIP Multimodel Analysis T. Aizawa et al. https://doi.org/10.1029/2021GL097093
3979. Modelling the sensitivity of ice loss to calving front retreat rates in the Amundsen Sea Embayment, West Antarctica J. Barnes et al. https://doi.org/10.5194/tc-20-777-2026
3980. Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017 J. Han et al. https://doi.org/10.1088/1748-9326/ab7390
3981. Probabilistic Extreme Rainfall Projections under Climate Change: Extending Regional Extreme Value Analysis with a Climate Model–Informed Bayesian Approach Y. Lai et al. https://doi.org/10.1061/AJRUA6.RUENG-1976
3982. Assessment of CMIP6 model performance in simulating atmospheric aerosol and precipitation over Africa B. Mmame et al. https://doi.org/10.1016/j.asr.2023.06.030
3983. Amazon forest faces severe decline under the dual pressures of anthropogenic climate change and land-use change S. Bultan et al. https://doi.org/10.1073/pnas.2418813122
3984. High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs R. McKenna et al. https://doi.org/10.1016/j.renene.2021.10.027
3985. Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models S. Blichner et al. https://doi.org/10.1038/s41467-024-45001-y
3986. Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change X. Zhang et al. https://doi.org/10.1038/s43247-024-01463-y
3987. Thermal limits of facilitation: experimental warming constrains cactus recruitment in drylands F. Guerra-Coss et al. https://doi.org/10.1007/s11258-026-01655-w
3988. CMIP6 models project a shrinking precipitation area A. Dobler et al. https://doi.org/10.1038/s41612-024-00794-z
3989. Basin-Scale Vegetation Sensitivity to Relative Humidity Variability Across Türkiye Under CMIP6 SSP Pathways M. Çelik et al. https://doi.org/10.3390/cli14090179
3990. Improved representation of atmospheric dynamics in CMIP6 models removes climate sensitivity dependence on Hadley cell climatological extent B. De et al. https://doi.org/10.1002/asl.1073
3991. Diverse built environment pathways for bridging global ambitions with local initiatives in sustainable transportation transitions T. Wang et al. https://doi.org/10.1038/s44333-026-00098-0
3992. 21st-century stagnation in unvegetated sand-sea activity A. Gunn et al. https://doi.org/10.1038/s41467-022-31123-8
3993. Projected increase in extreme heat exposure for vulnerable groups in late spring in China H. Luo et al. https://doi.org/10.1016/j.accre.2025.08.001
3994. The impacts of rising vapour pressure deficit in natural and managed ecosystems K. Novick et al. https://doi.org/10.1111/pce.14846
3995. The importance of horizontal model resolution on simulated precipitation in Europe – from global to regional models G. Strandberg & P. Lind https://doi.org/10.5194/wcd-2-181-2021
3996. Importance of the Antarctic Slope Current in the Southern Ocean Response to Ice Sheet Melt and Wind Stress Change R. Beadling et al. https://doi.org/10.1029/2021JC017608
3997. Taking the spatio-temporal effects of climate change into account for Life Cycle Assessment of prospective scenarios to secure water supplies in agricultural areas N. Rogy et al. https://doi.org/10.1016/j.scitotenv.2023.169345
3998. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. https://doi.org/10.1016/j.ejrh.2023.101533
3999. Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo T. Lam et al. https://doi.org/10.1002/joc.8442
4000. Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-Term Regional Temperature and Precipitation Y. Lai & D. Dzombak https://doi.org/10.1175/WAF-D-19-0158.1
4001. Climate Change Projections for the Australian Monsoon From CMIP6 Models S. Narsey et al. https://doi.org/10.1029/2019GL086816
4002. 基于纯数据驱动的Transformer模型对2023~2024年热带太平洋气候状态的实时预测 荣. 张 et al. https://doi.org/10.1360/N072024-0038
4003. Nutrition-sensitive climate risk across food production systems M. Tigchelaar et al. https://doi.org/10.1088/1748-9326/ad9b3a
4004. A Climate Perspective on the 2025 North China Record-breaking Extreme Rainfall: Analogues and Future Risks K. Gui et al. https://doi.org/10.1007/s00376-026-5801-6
4005. Investigating the role of stratospheric ozone as a driver of inter-model spread in CO2 effective radiative forcing R. Byrom et al. https://doi.org/10.5194/acp-25-5683-2025
4006. A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events J. Akinyoola et al. https://doi.org/10.1007/s41810-024-00223-x
4007. Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment D. Zanchettin et al. https://doi.org/10.5194/gmd-15-2265-2022
4008. Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. https://doi.org/10.1002/esp.5775
4009. Experiment design of the International CLIVAR C20C+ Detection and Attribution project D. Stone et al. https://doi.org/10.1016/j.wace.2019.100206
4010. Improving forest carbon sequestration through thinning strategies under soil conservation constraints: A case study in Shaanxi Province, China L. Liu et al. https://doi.org/10.1016/j.ecolind.2024.112291
4011. The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing C. Folland et al. https://doi.org/10.1126/sciadv.adk6693
4012. Increasing Future Precipitation in the Southwestern US in the Summer and Its Contrasting Mechanism With Decreasing Precipitation in the Spring W. Liang & M. Zhang https://doi.org/10.1029/2021GL096283
4013. Predicting future runoff variability in river basins with machine learning S. Mohammad et al. https://doi.org/10.1016/j.asr.2026.05.018
4014. High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE C. Fernandez-Palomino et al. https://doi.org/10.1038/s41597-023-02863-z
4015. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo https://doi.org/10.1029/2022JD038118
4016. Ecological differentiation in Pinus nigra subspecies predicts differential responses to climate change D. Romera-Romera et al. https://doi.org/10.1007/s10342-025-01868-0
4017. Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China L. Tian et al. https://doi.org/10.3390/rs14102330
4018. A model intercomparison of atmospheric 137Cs concentrations from the Fukushima Daiichi Nuclear Power Plant accident, phase III: Simulation with an identical source term and meteorological field at 1-km resolution Y. Sato et al. https://doi.org/10.1016/j.aeaoa.2020.100086
4019. Duration of frozen days show a strong decline in the Northern Hemisphere mainly driven by autumn temperature increase Q. Yuan et al. https://doi.org/10.59717/j.xinn-geo.2024.100118
4020. Model predictive control of energy pile-based space heating and cooling systems under future weather conditions Q. Ma et al. https://doi.org/10.1016/j.renene.2025.123937
4021. Impact of deforestation and climate on the Amazon Basin’s above-ground biomass during 1993–2012 J. Exbrayat et al. https://doi.org/10.1038/s41598-017-15788-6
4022. Quantifying the time of emergence of the anthropogenic signal in the global land carbon sink N. Li et al. https://doi.org/10.5194/bg-23-767-2026
4023. Drought frequency, intensity, and exposure have increased due to historical land use and land cover changes T. Tang et al. https://doi.org/10.1038/s43247-025-02392-0
4024. Multi-objective optimization for robust optimal green retrofit design of public buildings under multiple SSP scenarios J. An et al. https://doi.org/10.1016/j.rser.2026.116900
4025. High impact compound events in Australia N. Ridder et al. https://doi.org/10.1016/j.wace.2022.100457
4026. The effect of solar radiation modification on agroclimatic indices in Africa T. Egbebiyi et al. https://doi.org/10.1088/2752-5295/ade619
4027. How certain are El Niño–Southern Oscillation frequency changes in Coupled Model Intercomparison Project Phase 6 models? F. Fix et al. https://doi.org/10.1002/joc.7901
4028. The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production J. Rajbanshi & S. Das https://doi.org/10.1016/j.jhydrol.2021.126845
4029. Equilibrium Modeling for Environmental Science: Exploring the Nexus of Economic Systems and Environmental Change M. Cantele et al. https://doi.org/10.1029/2020EF001923
4030. Characterizing Future Trends of Temperature and Rainfall Using CMIP6 Climate Scenarios over Upper Wabe-Sheble River Basin, Ethiopia D. Cherinet https://doi.org/10.11648/j.wros.20261505.14
4031. Simulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false priming R. Varney et al. https://doi.org/10.5194/bg-20-3767-2023
4032. Rapid Acceleration of Dangerous Compound Heatwaves and Their Impacts in a Warmer China W. Dong et al. https://doi.org/10.1029/2023GL104850
4033. Robust and Uncertain Sea-Level Pressure Patterns over Summertime East Asia in the CMIP6 Multi-Model Future Projections T. OSE et al. https://doi.org/10.2151/jmsj.2022-032
4034. Historical baselines reveal suitable conservation landscapes for Javan and Sumatran rhinoceros M. Granger et al. https://doi.org/10.1016/j.cub.2026.02.001
4035. Assessing future greenhouse gas concentrations in Madrid, Spain: a dynamical downscaling approach using WRF-VPRM R. Jose et al. https://doi.org/10.1007/s11869-025-01798-1
4036. Sensitivities of the interannual variability of the East Asian winter monsoon for the physical parameters in CAS-FGOALS-g3 Q. Wang et al. https://doi.org/10.1007/s00382-025-07675-y
4037. Causal Links Between Arctic Sea Ice and Its Potential Drivers Based on the Rate of Information Transfer D. Docquier et al. https://doi.org/10.1029/2021GL095892
4038. Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin X. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130510
4039. Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration C. Bieri et al. https://doi.org/10.5194/gmd-18-3755-2025
4040. Drivers of summer Antarctic sea-ice extent at interannual time scale in CMIP6 large ensembles based on information flow D. Docquier et al. https://doi.org/10.1007/s00382-025-07878-3
4041. Projecting 21st-century glacier change in the Qilian Mountains: A dynamic modeling approach of Laohugou Glacier No.12 with Elmer/Ice and CMIP6 Y. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103750
4042. How atmospheric humidity drives the outgoing longwave radiation–surface temperature relationship and inter-model spread J. Feng et al. https://doi.org/10.1088/1748-9326/acfb98
4043. Antagonism between ambient ozone increase and urbanization-oriented population migration on Chinese cardiopulmonary mortality H. Sun et al. https://doi.org/10.1016/j.xinn.2023.100517
4044. Global peatland area and carbon dynamics from the Last Glacial Maximum to the present – a process-based model investigation J. Müller & F. Joos https://doi.org/10.5194/bg-17-5285-2020
4045. Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. https://doi.org/10.5194/gmd-15-8181-2022
4046. The ACCESS-CM2 climate model with a higher resolution ocean-sea ice component (1/4°) W. Huneke et al. https://doi.org/10.5194/gmd-18-9991-2025
4047. Projected Changes in Extratropical Atmospheric Circulation Modes in the 21st Century Using the Earth System Model of the Institute of Numerical Mathematics A. Gvozdeva et al. https://doi.org/10.1134/S0001433826700374
4048. Contrasting invasion patterns of two closely related Solidago alien species K. Skokanová et al. https://doi.org/10.1111/jbi.14785
4049. Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. https://doi.org/10.5194/acp-23-2829-2023
4050. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
4051. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. https://doi.org/10.1029/2021GL094532
4052. Evaluating the performance and biases of terrestrial evapotranspiration and its partitioning over China in CMIP6 models H. Chen et al. https://doi.org/10.1016/j.jhydrol.2026.135775
4053. Surface ozone pollution-driven risks for the yield of major food crops under future climate change scenarios in India K. Anagha & J. Kuttippurath https://doi.org/10.1016/j.envres.2025.121390
4054. Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea Y. Song et al. https://doi.org/10.1002/joc.7386
4055. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China Z. Li et al. https://doi.org/10.1016/j.wace.2022.100503
4056. Potential distribution, range dynamics, and livestock exposure risk of Veratrum nigrum L. in China under climate change S. Zhang et al. https://doi.org/10.3389/fpls.2026.1835288
4057. The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation B. STEVENS et al. https://doi.org/10.2151/jmsj.2020-021
4058. Bridging data and decisions: Lessons learned from co-producing climate tools for the mid-Atlantic M. Miro et al. https://doi.org/10.1016/j.cliser.2026.100696
4059. Exploring Radiation Biases Over the Tropical and Subtropical Oceans Based on Treatments of Frozen‐Hydrometeor Radiative Properties in CMIP6 Models J. Li et al. https://doi.org/10.1029/2021JD035976
4060. A Zonal See‐Saw Variation of Tropical Cyclogenesis Over the Arabian Sea and Bay of Bengal‐South China Sea X. Cao et al. https://doi.org/10.1029/2023JD038890
4061. Genetic diversity and geographic distribution patterns of Cinnamomum camphora under climate change in China Z. Li et al. https://doi.org/10.1016/j.gecco.2023.e02619
4062. Global convection-permitting model improves subseasonal forecast of plum rain around Japan J. Gu et al. https://doi.org/10.1088/1748-9326/ad71e2
4063. Climate-Driven Changes in the Projected Annual and Seasonal Precipitation over the Northern Highlands of Pakistan M. Asif et al. https://doi.org/10.3390/w16233461
4064. Increased Exposure of China’s Cropland to Droughts under 1.5 °C and 2 °C Global Warming L. Miao et al. https://doi.org/10.3390/atmos13071035
4065. Increases in forest carbon stocks of up to 32% by 2100 across the subalpine forests of the Tibetan Plateau T. Li et al. https://doi.org/10.1016/j.ecolind.2025.113675
4066. Using analogues to predict changes in future UK heatwaves* E. Yule et al. https://doi.org/10.1088/2752-5295/ad57e3
4067. Colder Eastern Equatorial Pacific and Stronger Walker Circulation in the Early 21st Century: Separating the Forced Response to Global Warming From Natural Variability U. Heede & A. Fedorov https://doi.org/10.1029/2022GL101020
4068. Future Climate Projections for Nebraska: Insights from CMIP6 on Precipitation and Temperature Trends M. Dar et al. https://doi.org/10.1007/s41748-025-00977-5
4069. Asymmetric impacts of El Niño–Southern Oscillation on the winter precipitation over South China: the role of the India–Burma Trough X. Lin et al. https://doi.org/10.1007/s00382-023-06675-0
4070. Biases of the Mean and Shape Properties in CMIP6 Extreme Precipitation Over Central Asia Z. Liu et al. https://doi.org/10.3389/feart.2022.918337
4071. How Well Are Clouds Simulated over Greenland in Climate Models? Consequences for the Surface Cloud Radiative Effect over the Ice Sheet A. Lacour et al. https://doi.org/10.1175/JCLI-D-18-0023.1
4072. Steady threefold Arctic amplification of externally forced warming masked by natural variability W. Zhou et al. https://doi.org/10.1038/s41561-024-01441-1
4073. Assessing the complementarity of future hybrid wind and solar photovoltaic energy resources for North America X. Costoya et al. https://doi.org/10.1016/j.rser.2022.113101
4074. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. https://doi.org/10.1073/pnas.2312400121
4075. An overview of the connection between Earth’s climate evolution and mass extinction events M. Montero-Martínez & M. Andrade-Velázquez https://doi.org/10.15446/esrj.v26n4.103152
4076. Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections T. Tran et al. https://doi.org/10.1109/JSTARS.2024.3380514
4077. Comparison of trends in the Hadley circulation between CMIP6 and CMIP5 Y. Xia et al. https://doi.org/10.1016/j.scib.2020.06.011
4078. Are Cut-off Lows simulated better in CMIP6 compared to CMIP5? H. Pinheiro et al. https://doi.org/10.1007/s00382-022-06200-9
4079. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. https://doi.org/10.3390/atmos12030406
4080. Preface to Special Issue on CMIP6 Experiments: Model and Dataset Descriptions T. Zhou https://doi.org/10.1007/s00376-020-0008-8
4081. Interannual ENSO diversity, transitions, and projected changes in observations and climate models M. Freund et al. https://doi.org/10.1088/1748-9326/ad78db
4082. Assessing the impact of climate change on snowmelt runoff and monthly streamflow in an Upper Himalayan River Basin using the SWAT model S. Biswas & S. Biswas https://doi.org/10.1007/s00704-025-05508-w
4083. Influence of winter stratospheric polar vortex intensity on spring drought in northern China J. Zhang et al. https://doi.org/10.1007/s00382-026-08101-7
4084. Climate change impact on the niche dynamics of Diospyros crumenata, a critically endangered tree species in Western Ghats–Sri Lanka biodiversity hotspot J. Jose et al. https://doi.org/10.1093/inteam/vjaf179
4085. Pattern scaling of simulated vegetation change in northern Africa during glacial cycles M. Duque-Villegas et al. https://doi.org/10.5194/cp-21-773-2025
4086. Impacts of Ice-Shelf Melting on Water-Mass Transformation in the Southern Ocean from E3SM Simulations H. Jeong et al. https://doi.org/10.1175/JCLI-D-19-0683.1
4087. Expected reliability over a planning horizon of a hydraulic infrastructure and its uncertainty under hydroclimatic future projections A. de la Fuente et al. https://doi.org/10.1016/j.jhydrol.2023.129700
4088. Enhanced understanding of soil methane processes through modeling microbial kinetics and taxonomy S. Zhou et al. https://doi.org/10.1016/j.soilbio.2025.109838
4089. RETRACTED: Multi-Model Assessment to Analyze Flow Alteration Under the Changing Climate in a Medium-Sized River Basin in Nepal: A Case Study of the Kankai River Basin M. Sharma et al. https://doi.org/10.3390/w17070940
4090. Downwind control of oceanic air by land: the land wake and its sensitivity to CO2 M. Laguë et al. https://doi.org/10.1088/1748-9326/ac9702
4091. Projected changes in mean climate and extremes from downscaled high-resolution CMIP6 simulations in Australia S. Chapman et al. https://doi.org/10.1016/j.wace.2024.100733
4092. Glacier retreat reorganizes river habitats leaving refugia for Alpine invertebrate biodiversity poorly protected M. Wilkes et al. https://doi.org/10.1038/s41559-023-02061-5
4093. Modelling impacts of climate change on snow drought, groundwater drought, and their feedback mechanism in a snow-dominated watershed in western Canada Y. Huang et al. https://doi.org/10.1016/j.jhydrol.2024.131342
4094. Study of the PDO Index Predictability for 1 to 5 Years with INMCM5 M. Aleksandrov et al. https://doi.org/10.1134/S0001437024700401
4095. Forecasting 21st Century Hydrological Challenges in Arid Regions: Climate-induced Shifts in Runoff and Evapotranspiration S. Hussain et al. https://doi.org/10.1007/s11269-025-04225-3
4096. Tropical forest restoration under future climate change A. Koch & J. Kaplan https://doi.org/10.1038/s41558-022-01289-6
4097. Mid- to late Holocene centennial-scale shifts of the Southern Hemisphere Westerly winds J. Kaiser et al. https://doi.org/10.1177/09596836251387256
4098. Tropospheric ozone responses to the El Niño–Southern Oscillation (ENSO): quantification of individual processes and future projections from multiple chemical models J. Li et al. https://doi.org/10.5194/acp-25-12983-2025
4099. Subtropical drying under greenhouse gas-induced warming J. Zhu et al. https://doi.org/10.1007/s00382-023-06797-5
4100. Mind the (spectral) gap: how the temporal resolution of wind data affects multi-decadal wind power forecasts N. Effenberger et al. https://doi.org/10.1088/1748-9326/ad0bd6
4101. Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy M. Struglia et al. https://doi.org/10.5194/gmd-18-6095-2025
4102. Impact of modulating surface heat flux through sea ice leads on Arctic sea ice in EC-Earth3 in different climates T. Tian et al. https://doi.org/10.5194/tc-19-2751-2025
4103. Assessing the risk of future Dunkelflaute events for Germany using generative deep learning F. Strnad et al. https://doi.org/10.1017/eds.2026.10038
4104. Historical trends and controlling factors of isoprene emissions in CMIP6 Earth system models N. Do et al. https://doi.org/10.5194/gmd-18-2079-2025
4105. Temperature dataset of CMIP6 models over China: evaluation, trend and uncertainty Q. You et al. https://doi.org/10.1007/s00382-021-05691-2
4106. Climate change critically affects the status of the land-system change planetary boundary A. Tobian et al. https://doi.org/10.1088/1748-9326/ad40c2
4107. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. https://doi.org/10.1029/2019GL086875
4108. Forced response and internal variability in ensembles of climate simulations: identification and analysis using linear dynamical mode decomposition A. Gavrilov et al. https://doi.org/10.1007/s00382-023-06995-1
4109. Projection of the Airborne CO2 Concentration by Land/Ocean Absorption Dynamics and Fossil-Fuel Reserve Depletion E. Canuto et al. https://doi.org/10.1007/s10666-024-09985-7
4110. Selecting CMIP6 models to assess the impact of climate change on energy need for heating and cooling in Europe H. Filahi et al. https://doi.org/10.1007/s00704-024-05263-4
4111. Development of DRIP - drought representation index for CMIP climate model performance, application to Southeast Brazil L. Almeida et al. https://doi.org/10.1016/j.scitotenv.2024.176443
4112. Identifying Suitable Regions for Fritillaria unibracteata Cultivation Without Damage from the Pest Eospalax baileyi C. Deng et al. https://doi.org/10.3390/plants14050674
4113. Prediction of Land Surface Temperature Considering Future Land Use Change Effects under Climate Change Scenarios in Nanjing City, China L. Tian et al. https://doi.org/10.3390/rs15112914
4114. Carbon system state determines warming potential of emissions A. Winkler et al. https://doi.org/10.1371/journal.pone.0306128
4115. Hybrid deep learning models for projecting cyanobacterial harmful algal blooms under climate change scenarios M. Nikoo https://doi.org/10.1016/j.engappai.2026.115464
4116. Glaciers and glaciation of North Island, New Zealand S. Eaves & M. Brook https://doi.org/10.1080/00288306.2020.1811354
4117. Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations H. Zekollari et al. https://doi.org/10.5194/tc-18-5045-2024
4118. Future Amplification of Multivariate Risk of Compound Drought and Heatwave Events on South Asian Population I. Ullah et al. https://doi.org/10.1029/2023EF003688
4119. Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands V. Kowal et al. https://doi.org/10.3390/land10040397
4120. The climate of a retrograde rotating Earth U. Mikolajewicz et al. https://doi.org/10.5194/esd-9-1191-2018
4121. Effectiveness of causality-based predictor selection for statistical downscaling: a case study of rainfall in an Ecuadorian Andes basin A. Vázquez-Patiño et al. https://doi.org/10.1007/s00704-022-04205-2
4122. Relationship between systematic temperature bias and East Asian winter monsoon in CORDEX East Asia phase II experiments S. Shin et al. https://doi.org/10.1007/s00382-024-07124-2
4123. Increasing ENSO–rainfall variability due to changes in future tropical temperature–rainfall relationship K. Yun et al. https://doi.org/10.1038/s43247-021-00108-8
4124. Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. https://doi.org/10.1002/joc.8117
4125. Influence of floodplains and groundwater dynamics on the present-day climate simulated by the CNRM climate model B. Decharme & J. Colin https://doi.org/10.5194/esd-16-729-2025
4126. Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change J. Nichol et al. https://doi.org/10.1016/j.cam.2021.113451
4127. Projected shifts in the distribution of Anopheles funestus under future climate scenarios in Malawi I. Tchuwa & G. Phiri https://doi.org/10.1007/s44274-025-00386-5
4128. OMPS-LP aerosol extinction coefficients and their applicability in GloSSAC M. Kovilakam et al. https://doi.org/10.5194/acp-25-535-2025
4129. Human-induced climate change intensifies spatially compounding fire weather extremes across European countries E. Gauthier & E. Bevacqua https://doi.org/10.1038/s44304-026-00201-y
4130. Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOALS-f3-L S. Zhao et al. https://doi.org/10.1007/s00376-020-0112-9
4131. Southern Annular Mode persistence and westerly jet: a reassessment using high-resolution global models T. Chen et al. https://doi.org/10.5194/wcd-6-1179-2025
4132. New climate models reveal faster and larger increases in Arctic precipitation than previously projected M. McCrystall et al. https://doi.org/10.1038/s41467-021-27031-y
4133. Climate change will lead to local extinctions and mismatched range contractions disrupting bee-dependent crop pollination W. Oliveira et al. https://doi.org/10.3389/frbee.2025.1510451
4134. Unprecedented Europe Heat in June–July 2019: Risk in the Historical and Future Context F. Ma et al. https://doi.org/10.1029/2020GL087809
4135. A novel approach to project future changes in meteorological factors affecting severe surface ozone over the Korean Peninsula under SSP scenarios D. Kim et al. https://doi.org/10.1007/s00704-024-05238-5
4136. Emergent Constraints on Future Expansion of the Indo‐Pacific Warm Pool I. Park et al. https://doi.org/10.1029/2021GL097343
4137. Cloud Response Is Significantly Biased by CMIP6 Over the Tibetan Plateau Y. Zhao et al. https://doi.org/10.1029/2022GL100903
4138. Impact attribution of anthropogenic forcing on lake surface temperature X. Wang et al. https://doi.org/10.1038/s41467-026-76221-z
4139. Assessment of the potential of CMIP6 models in simulating the sea surface temperature variability over the tropical Indian Ocean B. Bhattacharya et al. https://doi.org/10.1007/s00704-022-03952-6
4140. Optimal Growth of IPV Lags AMV Modulations by up to a Decade J. Yang et al. https://doi.org/10.1029/2021GL096654
4141. Simulating Climatic Patterns and Their Impacts on the Food Security Stability System in Jammu, Kashmir and Adjoining Regions, India A. Bhat et al. https://doi.org/10.3390/cli12070099
4142. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking Q. Zhu et al. https://doi.org/10.1029/2018MS001571
4143. Regional disparities in extreme precipitation trends across East Asia: Observation-constrained projection and attribution Z. Bao et al. https://doi.org/10.1016/j.accre.2025.12.008
4144. Potential geographical distribution of Garcinia paucinervis Chun et How in China under future climate change scenarios based on the MaxEnt Model H. Li et al. https://doi.org/10.1371/journal.pone.0330483
4145. Föhn, fire and grazing in Southern Tibet? A 20,000-year multi-proxy record in an alpine ecotonal ecosystem G. Miehe et al. https://doi.org/10.1016/j.quascirev.2021.106817
4146. Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records S. Eckhardt et al. https://doi.org/10.1038/s41467-022-35660-0
4147. Using climate models to estimate the quality of global observational data sets F. Massonnet et al. https://doi.org/10.1126/science.aaf6369
4148. Global predictions of primary soil salinization under changing climate in the 21st century A. Hassani et al. https://doi.org/10.1038/s41467-021-26907-3
4149. Hydrologic Response to Future Climate Change in the Dulong-Irrawaddy River Basin Based on Coupled Model Intercomparison Project 6 Z. Xu et al. https://doi.org/10.1007/s11769-024-1420-2
4150. The Southern Ocean Freshwater Input from Antarctica (SOFIA) Initiative: scientific objectives and experimental design N. Swart et al. https://doi.org/10.5194/gmd-16-7289-2023
4151. The atmospheric effect of aerosols on future tropical cyclone frequency and precipitation in the Energy Exascale Earth System Model A. Sena et al. https://doi.org/10.1007/s00382-024-07359-z
4152. Level Variations in the Caspian Sea under Different Climate Conditions by the Data of Simulation under CMIP6 Project A. Kislov & P. Morozova https://doi.org/10.1134/S0097807821060099
4153. Projected increase in global runoff dominated by land surface changes S. Zhou et al. https://doi.org/10.1038/s41558-023-01659-8
4154. Evaluation of model performance in simulating extreme precipitation indices over eastern China: A comparison of CORDEX and NEX-GDDP models H. Yu et al. https://doi.org/10.1016/j.atmosres.2026.108760
4155. Asymmetrical Precipitation Sensitivity to Temperature Across Global Dry and Wet Regions J. Liang et al. https://doi.org/10.1029/2023EF003617
4156. Reviving the Aral Sea: A Hydro‐Eco‐Social Perspective X. Wang et al. https://doi.org/10.1029/2023EF003657
4157. Milk contamination in Europe under anticipated climate change scenarios L. Katsini et al. https://doi.org/10.3389/fsufs.2024.1468698
4158. Influence of Subseasonal-to-Annual Water Supply Forecasts on Many-Objective Water System Robustness under Long-Term Change K. Semmendinger & S. Steinschneider https://doi.org/10.1061/JWRMD5.WRENG-6205
4159. A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data R. Abeed et al. https://doi.org/10.5194/acp-23-12505-2023
4160. Idoneidad climática de tres especies de vertebrados invasores en Áreas Naturales Protegidas en el noreste de México J. Ramírez-Albores et al. https://doi.org/10.53010/nys14.02
4161. Global expansion of the sensitive aerosol-limited marine cloud regime under emission reductions X. Han et al. https://doi.org/10.1126/sciadv.aef9665
4162. Spatiotemporal evolution of the maximum freezing depth of seasonally frozen ground and permafrost continuity in historical and future periods in Heilongjiang Province, China S. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106195
4163. Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India R. Datta & M. Reddy https://doi.org/10.1007/s00477-023-02484-3
4164. Role of AMOC in Transient Climate Response to Greenhouse Gas Forcing in Two Coupled Models A. Hu et al. https://doi.org/10.1175/JCLI-D-19-1027.1
4165. Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties T. Fan et al. https://doi.org/10.1007/s00376-021-1119-6
4166. Atmospheric methane since the last glacial maximum was driven by wetland sources T. Kleinen et al. https://doi.org/10.5194/cp-19-1081-2023
4167. Improved methods for estimating equilibrium climate sensitivity from transient warming simulations A. Dai et al. https://doi.org/10.1007/s00382-020-05242-1
4168. Predicting the Potential Distribution of Amyelois transitella (Walker) in China Under Climate Change Using a Biomod2-Based Ensemble Model S. Li et al. https://doi.org/10.3390/insects17040364
4169. An assessment of the Indian Ocean mean state and seasonal cycle in a suite of interannual CORE-II simulations H. Rahaman et al. https://doi.org/10.1016/j.ocemod.2019.101503
4170. China’s nationwide streamflow decline driven by landscape changes and human interventions K. Wang et al. https://doi.org/10.1126/sciadv.adu8032
4171. Evaluation of the ability of CMIP6 models to simulate precipitation over Southwestern South America: Climatic features and long-term trends (1901–2014) J. Rivera & G. Arnould https://doi.org/10.1016/j.atmosres.2020.104953
4172. A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the Northern Hemisphere mid-to-high latitudes S. Brands https://doi.org/10.5194/gmd-15-1375-2022
4173. CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5] C. Mackallah et al. https://doi.org/10.5194/gmd-19-8053-2026
4174. Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al. https://doi.org/10.1029/2023JD038906
4175. High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. https://doi.org/10.1029/2022EF002833
4176. Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow D. Docquier et al. https://doi.org/10.1038/s41598-024-76056-y
4177. The DOE E3SM version 2.1: overview and assessment of the impacts of parameterized ocean submesoscales K. Smith et al. https://doi.org/10.5194/gmd-18-1613-2025
4178. The trend and spatial spread of multisectoral climate extremes in CMIP6 models O. Adeyeri et al. https://doi.org/10.1038/s41598-022-25265-4
4179. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
4180. Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao https://doi.org/10.1175/JCLI-D-21-0332.1
4181. Future atmospheric surface circulations and their impact on the regional climate of Japan based on the CMIP6 projections and observed statistics R. Ito et al. https://doi.org/10.3178/hrl.24-00011
4182. The response of global terrestrial water storage to drought based on multiple climate scenarios W. Wei et al. https://doi.org/10.1016/j.atmosres.2024.107331
4183. Enhanced warming constrained by past trends in equatorial Pacific sea surface temperature gradient M. Watanabe et al. https://doi.org/10.1038/s41558-020-00933-3
4184. Joint model inference to support RAD-based decision making for aspen management in a changing climate P. Copenhaver-Parry & S. Byerly https://doi.org/10.1139/cjfr-2025-0244
4185. Historical and projected extreme climate changes in the upper Yellow River Basin, China S. Chen et al. https://doi.org/10.1038/s41598-025-99650-0
4186. Tropical volcanic eruptions enhance Pacific-driven global tropical cyclone genesis J. Zhao et al. https://doi.org/10.1088/1748-9326/ade895
4187. Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents Y. Song & E. Chung https://doi.org/10.5194/gmd-18-8017-2025
4188. Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China X. Jiao et al. https://doi.org/10.3390/agronomy13102498
4189. More accurate specification of water supply shows its importance for global crop production J. Proctor et al. https://doi.org/10.1038/s43016-022-00592-x
4190. Application-specific optimal model weighting of global climate models: A red tide example A. Elshall et al. https://doi.org/10.1016/j.cliser.2022.100334
4191. Comparison of monthly air and land surface temperature extremes simulated using CMIP5 and CMIP6 versions of the Beijing Climate Center climate model S. Nie et al. https://doi.org/10.1007/s00704-020-03090-x
4192. Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al. https://doi.org/10.1029/2023EF003479
4193. Temperature change and male infertility prevalence: an ecological study J. Qian et al. https://doi.org/10.1186/s12889-025-22934-7
4194. Exogenous moisture deficit fuels drought risks across China G. Wang et al. https://doi.org/10.1038/s41612-023-00543-8
4195. Emergent constraints on climate sensitivity and recent record-breaking warm years P. Boardman et al. https://doi.org/10.5194/esd-17-829-2026
4196. Compound Effects of Climate Change on Future Transboundary Water Issues in the Middle East A. Dezfuli et al. https://doi.org/10.1029/2022EF002683
4197. Preliminary study on hydrological angular momentum determined from CMIP6 historical simulations J. Nastula et al. https://doi.org/10.1186/s40623-022-01636-z
4198. ‘Euclimatch': an R package for climate matching with Euclidean distance metrics J. Hubbard et al. https://doi.org/10.1111/ecog.07614
4199. Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model V. Lembo et al. https://doi.org/10.1038/s41598-020-65297-2
4200. Glacial state of the global carbon cycle: time-slice simulations for the last glacial maximum with an Earth-system model T. Kurahashi-Nakamura et al. https://doi.org/10.5194/cp-18-1997-2022
4201. Climate Aware Deep Neural Networks (CADNN) for wind power simulation A. Forootani et al. https://doi.org/10.1016/j.array.2025.100534
4202. End-of-century Arctic Ocean phytoplankton blooms start a month earlier due to anthropogenic climate change C. Payne et al. https://doi.org/10.1038/s43247-025-02807-y
4203. Customizable adaptive regularization techniques for B-spline modeling D. Lenz et al. https://doi.org/10.1016/j.jocs.2023.102037
4204. Climate change impacts on regional agricultural irrigation water use in semi-arid environments X. Tian et al. https://doi.org/10.1016/j.agwat.2023.108239
4205. Simulated ocean oxygenation during the interglacials MIS 5e and MIS 9e B. Duboc et al. https://doi.org/10.5194/cp-21-1093-2025
4206. Climate-driven redistribution of foxtail millet (Setaria italica) suitability in China revealed by biomod2 ensemble models: implications for dryland crop adaptation L. Chang et al. https://doi.org/10.3389/fpls.2026.1882902
4207. Linking community structure and climate vulnerability in desert plant assemblages of southern California H. Zumbado‐Ulate et al. https://doi.org/10.1002/ajb2.70224
4208. Predicting the Potential Distribution of Quesada gigas Under Current and Future Climate Conditions Using MaxEnt M. Loures-Ferreira et al. https://doi.org/10.1007/s13744-026-01387-6
4209. Pre‐Industrial, Present and Future Atmospheric Soluble Iron Deposition and the Role of Aerosol Acidity and Oxalate Under CMIP6 Emissions E. Bergas‐Massó et al. https://doi.org/10.1029/2022EF003353
4210. Oreochromis niloticus’un Türkiye’deki Potansiyel Dağılım Alanlarının Belirlenmesi: Ekolojik Niş Modellemesi Yaklaşımı O. Mol & Ö. Emiroğlu https://doi.org/10.35229/jaes.1713798
4211. Subseasonal reversals of winter surface air temperature in mid-latitude Asia and the roles of westward-shift NAO X. Song et al. https://doi.org/10.1088/1748-9326/acb787
4212. Unified climate factors predict influenza outbreak seasonality across tropical and temperate regions A. Stamper et al. https://doi.org/10.1093/pnasnexus/pgag160
4213. Heat health during future summers in eastern Asia: The combined roles of circulation, temperature and humidity R. Clark & P. Wu https://doi.org/10.1002/joc.8145
4214. How to reconstruct aerosol-induced diffuse radiation scenario for simulating GPP in land surface models? An evaluation of reconstruction methods with ORCHIDEE_DFv1.0_DFforc Y. Zhang et al. https://doi.org/10.5194/gmd-14-2029-2021
4215. Increasing the Depth of a Land Surface Model. Part I: Impacts on the Subsurface Thermal Regime and Energy Storage J. González-Rouco et al. https://doi.org/10.1175/JHM-D-21-0024.1
4216. Unraveling Projected Changes in Spatiotemporal Patterns and Drought Events across Mainland China Using CMIP6 Models and an Intensity–Area–Duration Algorithm J. Liu et al. https://doi.org/10.3390/land13101571
4217. Asymmetric impacts of forest gain and loss on tropical land surface temperature Y. Zhang et al. https://doi.org/10.1038/s41561-024-01423-3
4218. Extreme temperature indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1007/s00382-022-06503-x
4219. Wild Vanilla and pollinators at risk of spatial mismatch in a changing climate C. Watteyn et al. https://doi.org/10.3389/fpls.2025.1585540
4220. Predicting the current and future suitable-habitat distribution of tropical adult and juvenile targeted fishes in multi-sector fisheries of central Queensland, Australia D. Chamberlain et al. https://doi.org/10.1071/MF21273
4221. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the seasonal extreme precipitation in the Western North Pacific and East Asia C. Chen et al. https://doi.org/10.1016/j.wace.2021.100303
4222. Inter-annual variability of the Indian summer monsoon: a comparative study of the mid-Pliocene and pre-industrial eras K. Dahiya et al. https://doi.org/10.1007/s00382-025-07775-9
4223. Unusually low dust activity in North Africa in June 2023: Causes, impacts and future projections D. Francis et al. https://doi.org/10.1016/j.atmosres.2024.107594
4224. Spatial-temporal dynamics of meteorological and groundwater drought in Northwest China: Propagation, threshold, recovery time, drivers J. Shan et al. https://doi.org/10.1016/j.ejrh.2025.103090
4225. Fossil fuel emissions dominate Northern Hemisphere CO2 seasonal cycle trends under mitigation scenarios Z. Jin et al. https://doi.org/10.1038/s41467-026-75003-x
4226. swNEMO_v4.0: an ocean model based on NEMO4 for the new-generation Sunway supercomputer Y. Ye et al. https://doi.org/10.5194/gmd-15-5739-2022
4227. The Duration of Dry Events Promotes PVC Film Fragmentation in Intermittent Rivers N. Barthelemy et al. https://doi.org/10.1021/acs.est.4c00528
4228. Evaluation of past and future trends of temperature and rainfall under CMIP6 scenarios in the Ayehu watershed, Upper Blue Nile Basin, Ethiopia A. Bitew & A. Minale https://doi.org/10.2166/wcc.2025.032
4229. CAS-FGOALS Datasets for the Two Interglacial Epochs of the Holocene and the Last Interglacial in PMIP4 W. Zheng et al. https://doi.org/10.1007/s00376-020-9290-8
4230. Association between temperature variability and global meningitis incidence J. Chen et al. https://doi.org/10.1016/j.envint.2022.107649
4231. Almost nothing left to lose: Suitable habitat for glacial relicts strongly declines under future climate and land use scenarios M. Boxriker et al. https://doi.org/10.1016/j.gecco.2025.e03541
4232. How representative are FLUXNET measurements of surface fluxes during temperature extremes? S. van der Horst et al. https://doi.org/10.5194/bg-16-1829-2019
4233. Evaluation of the CMIP6 multi-model ensemble for climate extreme indices Y. Kim et al. https://doi.org/10.1016/j.wace.2020.100269
4234. A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions R. Cavalheiro et al. https://doi.org/10.1007/s11295-026-01741-0
4235. Determining environmental drivers of global mud snail invasions using climate and hydroclimate models S. Aksu et al. https://doi.org/10.1007/s10750-024-05554-x
4236. A Paris-like agreement for biodiversity needs IPCC-like science G. Wilhere https://doi.org/10.1016/j.gecco.2021.e01617
4237. Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway E. Oguz et al. https://doi.org/10.1080/17499518.2023.2283848
4238. Assessing the feasibility of sprinkler irrigation schemes and their adaptation to future climate change in groundwater over-exploitation regions X. Zhang et al. https://doi.org/10.1016/j.agwat.2024.108674
4239. Greenhouse warming intensifies north tropical Atlantic climate variability Y. Yang et al. https://doi.org/10.1126/sciadv.abg9690
4240. The Intrinsic 150‐Day Periodicity of the Southern Hemisphere Extratropical Large‐Scale Atmospheric Circulation S. Lubis & P. Hassanzadeh https://doi.org/10.1029/2022AV000833
4241. High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols J. Tang et al. https://doi.org/10.1038/s41612-023-00463-7
4242. Precipitation disaster hotspots depend on historical climate variability I. de Vries et al. https://doi.org/10.1038/s41467-025-66601-2
4243. Projections of tropical cyclone-driven storm-tide risk to critical infrastructure in the Bay of Bengal C. Blakely et al. https://doi.org/10.1038/s44304-026-00175-x
4244. CMIP6 projections of ocean warming and the impact on dimethylsulfide emissions from the Great Barrier Reef, Australia R. Jackson et al. https://doi.org/10.3389/fmars.2022.910420
4245. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. https://doi.org/10.5194/esd-15-689-2024
4246. A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. https://doi.org/10.1126/sciadv.adg1213
4247. Last Interglacial subsurface warming on the Antarctic shelf triggered by reduced deep-ocean convection N. Yeung et al. https://doi.org/10.1038/s43247-024-01383-x
4248. Evaluation of the seasonality and spatial aspects of the Southern Annular Mode in CMIP6 models X. Zhang et al. https://doi.org/10.1002/joc.7447
4249. Assessing future maize water demand in Karnataka under CMIP6 climate projections: model evaluation and CROPWAT simulations S. Sridhara et al. https://doi.org/10.1016/j.agwat.2025.109720
4250. Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. https://doi.org/10.5194/gmd-15-5713-2022
4251. Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth R. Bilbao et al. https://doi.org/10.5194/esd-12-173-2021
4252. Eastern equatorial Pacific warming delayed by aerosols and thermostat response to CO2 increase U. Heede & A. Fedorov https://doi.org/10.1038/s41558-021-01101-x
4253. Climate change risks and adaptive capacity analysis in the Botswana livestock industry O. Kgosikoma & K. Kgosikoma https://doi.org/10.1007/s11250-025-04771-3
4254. Inadequacy of agricultural best management practices under warmer climates M. Zammali et al. https://doi.org/10.1088/1748-9326/ad928e
4255. Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
4256. CMIP6 model fidelity at simulating large-scale atmospheric circulation patterns and associated temperature and precipitation over the Pacific Northwest G. Taylor et al. https://doi.org/10.1007/s00382-022-06410-1
4257. Dynamic 3-D Visualization of Climate Model Development and Results J. Walton et al. https://doi.org/10.1109/MCG.2020.3042587
4258. Projected impacts of climate change on global irrigation water withdrawals G. Haile et al. https://doi.org/10.1016/j.agwat.2024.109144
4259. Upstream influence of midlatitude jet stream biases in boreal summer L. Boljka et al. https://doi.org/10.1002/asl.1272
4260. The projected occurrence changes of the lower atmospheric ducts accompanied with sea fog under different CMIP6 scenarios across the Hangzhou Bay Y. Pu et al. https://doi.org/10.3389/fmars.2026.1746556
4261. Climate warming modifies hydrological responses in the southern Western Ghats and the western coastal plains (India): Insights from CMIP6-VIC simulations J. Thomas et al. https://doi.org/10.1016/j.jenvman.2025.125252
4262. The response of atmospheric blocking and East Asian cold extremes to future Arctic Sea ice loss W. Zhuo et al. https://doi.org/10.1016/j.atmosres.2024.107355
4263. Projected Aridity Dynamics Across the Western Balkans Using a Multi-Model CMIP6 Ensemble and Short-Term AI Benchmarking I. Djalović et al. https://doi.org/10.3390/atmos17080712
4264. Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China Z. Zhang et al. https://doi.org/10.1016/j.agrformet.2022.108914
4265. Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
4266. Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model Y. Ni et al. https://doi.org/10.1021/acs.est.5c11992
4267. An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis J. Lavoie et al. https://doi.org/10.1038/s41597-023-02855-z
4268. Testing GWP* to quantify non-CO2 contributions in the carbon budget framework in overshoot scenarios M. Mastropierro et al. https://doi.org/10.1038/s41612-025-00980-7
4269. Observation-based estimate of Earth’s effective radiative forcing S. Van Loon et al. https://doi.org/10.1073/pnas.2425445122
4270. Assessing precipitation extremes in CMIP6 HighResMIP and possible future changes over the western North Pacific J. Yang et al. https://doi.org/10.1016/j.apor.2026.105017
4271. Land use carbon emission projections in shared socioeconomic and representative concentration pathways: Relationship with urbanization in Chinese megacities Y. Yao et al. https://doi.org/10.1016/j.landusepol.2025.107659
4272. Widespread intensification of global river hydrograph flashiness under climate change S. Zhu et al. https://doi.org/10.1038/s43247-026-03681-y
4273. Improvement in the decadal prediction skill of the North Atlantic extratropical winter circulation through increased model resolution M. Schuster et al. https://doi.org/10.5194/esd-10-901-2019
4274. Extreme climate events and transboundary effects of global crop trade J. Hedlund & N. Diffenbaugh https://doi.org/10.1088/2752-5295/ae390b
4275. Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C H. Eum et al. https://doi.org/10.1016/j.ejrh.2023.101390
4276. Impact of El Niño and La Niña on the ocean carbon cycle Y. Hong & B. Ali https://doi.org/10.1051/matecconf/202541002024
4277. flat10MIP: an emissions-driven experiment to diagnose the climate response to positive, zero and negative CO2 emissions B. Sanderson et al. https://doi.org/10.5194/gmd-18-5699-2025
4278. Coupling future climate and land‐use projections reveals where to strengthen the protection of Mediterranean Key Biodiversity Areas F. Verniest et al. https://doi.org/10.1111/csp2.12807
4279. An Antarctic ecosystem value index to quantify ecological value across trophic levels and over time A. DuVivier et al. https://doi.org/10.1038/s41467-026-69011-0
4280. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. https://doi.org/10.1088/1748-9326/ab94e8
4281. Spatiotemporal variability of air–sea CO2 fluxes in response to El Niño-related marine heatwaves in the tropical Pacific Ocean M. Zhang et al. https://doi.org/10.1016/j.marenvres.2025.106949
4282. The variability atlas: how internal climate variability affects the estimation of climate extreme indices L. Brunner et al. https://doi.org/10.1088/1748-9326/ae9c57
4283. Assessing the impact of future climate scenarios on crop water requirements and agricultural water supply across different climatic zones of Pakistan M. Shafeeque & A. Bibi https://doi.org/10.3389/feart.2023.1283171
4284. Temperature and Precipitation Change over South China in CMIP5 and CMIP6 Models: Historical Simulation and Future Projection D. Peng et al. https://doi.org/10.1007/s00376-024-4375-4
4285. Projected changes in risks of winter damage to fruit trees and plant hardiness zones in Canada B. Qian et al. https://doi.org/10.1139/cjps-2024-0178
4286. Climate Scenarios for Switzerland CH2018 – Approach and Implications A. Fischer et al. https://doi.org/10.1016/j.cliser.2022.100288
4287. Future changes in society and climate may strongly shape wild large-herbivore faunas across Europe M. Davoli & J. Svenning https://doi.org/10.1098/rstb.2023.0334
4288. Improving consistency among models of overlapping scope in multi-sector studies: The case of electricity capacity expansion scenarios G. Iyer et al. https://doi.org/10.1016/j.rser.2019.109416
4289. Atmospheric teleconnection processes linking winter air stagnation and haze extremes in China with regional Arctic sea ice decline Y. Zou et al. https://doi.org/10.5194/acp-20-4999-2020
4290. Response of Natural Gas Consumption to Temperature and Projection under SSP Scenarios during Winter in Beijing J. Min et al. https://doi.org/10.3390/atmos13081178
4291. Antarctic contribution to future sea level from ice shelf basal melt as constrained by ice discharge observations E. van der Linden et al. https://doi.org/10.5194/tc-17-79-2023
4292. GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios R. Muñoz-Sánchez et al. https://doi.org/10.1038/s41597-025-05496-6
4293. Assessment of Future Water Security under Climate Change: Practical Water Allocation Scenarios in a Drought-Prone Watershed in South Korea W. Kim et al. https://doi.org/10.3390/w16202933
4294. Integrating climate extremes with key biodiversity areas for improved biodiversity risk analysis and protected area planning A. Ly & N. Diffenbaugh https://doi.org/10.1111/csp2.70190
4295. The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. https://doi.org/10.5194/gmd-15-2973-2022
4296. Interdecadal winter temperature variability driven by the East China Sea Mode: A global perspective K. Fang et al. https://doi.org/10.1007/s11430-025-1981-4
4297. Incremental evolution of modeling a prognosis for polar bears in a rapidly changing Arctic B. Marcot et al. https://doi.org/10.1016/j.ecolind.2023.111130
4298. Climatological Increased Precipitation from July to August in the Western North Pacific Region Simulated by CMIP6 Models X. Dong & R. Lin https://doi.org/10.3390/atmos12060664
4299. Future changes of dry‐wet climate regions and its contributing climatic factors in China based on CMIP6 models Y. Kou et al. https://doi.org/10.1002/joc.8046
4300. A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020 K. Zhang et al. https://doi.org/10.1038/s41597-024-03271-7
4301. Warmer climate projections in EC-Earth3-Veg: the role of changes in the greenhouse gas concentrations from CMIP5 to CMIP6 K. Wyser et al. https://doi.org/10.1088/1748-9326/ab81c2
4302. Estimating the global technical potential of building-integrated solar energy production using a high-resolution geospatial model G. Molnár et al. https://doi.org/10.1016/j.jclepro.2022.134133
4303. The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis F. Zabel & B. Poschlod https://doi.org/10.5194/gmd-16-5383-2023
4304. Obtaining refined Euro-Mediterranean rainfall projections through regional assessment of CMIP6 General Circulation Models G. Ferreiro-Lera et al. https://doi.org/10.1016/j.gloplacha.2025.104725
4305. Amplifying population exposure of extreme precipitation across Yellow River Basin, China at 1.5° C, 2.0° C and 3.0° C global warming R. Yao et al. https://doi.org/10.1007/s11069-025-07161-y
4306. Modeling current and future distributions of key fodder grasses under climate change in Senegal using Biomod2 I. Sawadogo et al. https://doi.org/10.1007/s43621-026-03250-5
4307. Intensive and extensive margins of the peak load: Measuring adaptation with mixed frequency panel data F. Colelli et al. https://doi.org/10.1016/j.eneco.2023.106923
4308. Comparative assessment of future solar power potential based on CMIP5 and CMIP6 multi-model ensembles S. Ha et al. https://doi.org/10.1016/j.renene.2023.02.039
4309. Projected Rainfall‐Driven Expansion of Woody Cover in African Drylands W. Zhang et al. https://doi.org/10.1029/2023GL103932
4310. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al. https://doi.org/10.1088/1748-9326/acb226
4311. Developing nutrient pollution management strategies on a watershed scale under climate change J. Han et al. https://doi.org/10.1016/j.ecolind.2024.111691
4312. Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity K. Armour et al. https://doi.org/10.1073/pnas.2312093121
4313. ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses O. Watt-Meyer et al. https://doi.org/10.1038/s41612-025-01090-0
4314. Future hydrological regime shifts and water security risks in Ethiopia's Awash River Basin: Ensemble CMIP6-driven SWAT+ simulations under SSP2-4.5 and SSP5-8.5 A. Legass et al. https://doi.org/10.1016/j.envc.2026.101523
4315. Future sea-level rise projections for tide gauge locations in South Asia B. Harrison et al. https://doi.org/10.1088/2515-7620/ac2e6e
4316. Comparison of indicators to evaluate the performance of climate models M. Gómez et al. https://doi.org/10.1002/joc.8619
4317. Enhanced Impacts of ENSO on the Southeast Asian Summer Monsoon Under Global Warming and Associated Mechanisms S. Lin et al. https://doi.org/10.1029/2023GL106437
4318. Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models B. Harris et al. https://doi.org/10.5194/esd-15-1019-2024
4319. Estimating and tracking the remaining carbon budget for stringent climate targets J. Rogelj et al. https://doi.org/10.1038/s41586-019-1368-z
4320. FROT: A Framework to comprehensively describe radiative contributions to temperature responses E. Monteiro et al. https://doi.org/10.1088/1748-9326/ad8807
4321. Overview of the MOSAiC expedition: Physical oceanography B. Rabe et al. https://doi.org/10.1525/elementa.2021.00062
4322. Trivial improvements in predictive skill due to direct reconstruction of the global carbon cycle A. Spring et al. https://doi.org/10.5194/esd-12-1139-2021
4323. Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective S. Uppengal et al. https://doi.org/10.1002/rvr2.70054
4324. Evaluation of CMIP5 and CMIP6 simulations of historical surface air temperature extremes using proper evaluation methods T. Thorarinsdottir et al. https://doi.org/10.1088/1748-9326/abc778
4325. Reconstructions and predictions of the global carbon budget with an emission-driven Earth system model H. Li et al. https://doi.org/10.5194/esd-14-101-2023
4326. Evaluation and projection of marine heatwaves in the South China Sea: insights from CMIP6 multi-model ensemble K. Liu et al. https://doi.org/10.1007/s13131-023-2279-2
4327. Emergent Constraints on the Large-Scale Atmospheric Circulation and Regional Hydroclimate: Do They Still Work in CMIP6 and How Much Can They Actually Constrain the Future? I. Simpson et al. https://doi.org/10.1175/JCLI-D-21-0055.1
4328. The ICON Earth System Model Version 1.0 J. Jungclaus et al. https://doi.org/10.1029/2021MS002813
4329. Future greening of the Earth may not be as large as previously predicted Q. Zhao et al. https://doi.org/10.1016/j.agrformet.2020.108111
4330. Future projections of climate variables and meteorological drought: Insight from CMIP6 models in Southeast Ethiopia A. Tadase & A. Tekile https://doi.org/10.1016/j.dynatmoce.2025.101538
4331. The complementarity of offshore wind and floating photovoltaics in the Belgian North Sea, an analysis up to 2100 O. Delbeke et al. https://doi.org/10.1016/j.renene.2023.119253
4332. Assessment on the Climate Change Impact Using CMIP6 W. Othman & N. Tukimat https://doi.org/10.1088/1755-1315/1140/1/012005
4333. Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment T. O’Brien et al. https://doi.org/10.1029/2021JD036013
4334. Large simulated future changes in the nitrate radical under the CMIP6 SSP scenarios: implications for oxidation chemistry S. Archer-Nicholls et al. https://doi.org/10.5194/acp-23-5801-2023
4335. Assessment of Future Climate Changes in the Leningrad Region and St. Petersburg and Directions of Adaptation to them for the Sustainable Development of Regions V. Lobanov et al. https://doi.org/10.18412/1816-0395-2024-1-64-71
4336. Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1 F. Schevenhoven & A. Carrassi https://doi.org/10.5194/gmd-15-3831-2022
4337. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. https://doi.org/10.3390/atmos12070887
4338. Synergistic effects of Arctic amplification and Tibetan Plateau amplification on the Yangtze River Basin heatwaves W. Dong et al. https://doi.org/10.1038/s41612-024-00703-4
4339. Using high resolution climate models to explore future changes in post-tropical cyclone precipitation E. Bower & K. Reed https://doi.org/10.1088/1748-9326/ad2163
4340. Dependence of regional ocean heat uptake on anthropogenic warming scenarios X. Ma et al. https://doi.org/10.1126/sciadv.abc0303
4341. Future North Atlantic tropical cyclone intensities in modified historical environments N. Lalo et al. https://doi.org/10.1038/s41597-025-06186-z
4342. Simulation of Spatial and Temporal Patterns of Suitable Wintering Habitat for Hooded Crane (Grus monacha) Under Climate and Land Use Change Scenarios Z. Jiang et al. https://doi.org/10.3390/ani15010006
4343. Evaluation of upper tropospheric geopotential height anomalies over the tropical and subtropical oceans in CMIP6 models using GNSS radio occultation observations J. Li et al. https://doi.org/10.1088/2515-7620/adc976
4344. Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin D. Kilic et al. https://doi.org/10.5802/crgeos.165
4345. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. https://doi.org/10.3390/biology11081100
4346. Abrupt shift of El Niño periodicity under CO 2 mitigation T. Iwakiri et al. https://doi.org/10.1073/pnas.2426048122
4347. Introducing the Model Fidelity Metric (MFM) for robust and diagnostic land surface model evaluation Z. Wu et al. https://doi.org/10.5194/hess-30-2651-2026
4348. Seasonal Variation of Wet Deposition of Black Carbon at Ny‐Ålesund, Svalbard T. Mori et al. https://doi.org/10.1029/2020JD034110
4349. Fidelity of CMIP6 Models in Simulating June–September Rainfall Climatology, Spatial and Trend Patterns Over Complex Topography of Greater Horn of Africa W. Jima et al. https://doi.org/10.1007/s00024-023-03414-8
4350. Prolonged wind droughts in a warming climate threaten global wind power security M. Qu et al. https://doi.org/10.1038/s41558-025-02387-x
4351. Increasing meridional disparity of population exposure to heat stress X. Xu et al. https://doi.org/10.1016/j.geosus.2025.100391
4352. QBO/Solar Influences on the Tropical Madden‐Julian Oscillation: A Mechanism Based on Extratropical Wave Forcing in Late Fall and Early Winter L. Hood et al. https://doi.org/10.1029/2022JD037824
4353. Climate change on Eucalyptus plantations and adaptive measures for sustainable forestry development across Brazil G. Florêncio et al. https://doi.org/10.1016/j.indcrop.2022.115538
4354. Impacts of Changes of External Forcings from CMIP5 to CMIP6 on Surface Temperature in FGOALS-g2 Y. Nie et al. https://doi.org/10.2151/sola.2019-038
4355. Differential impact of climate and land use change on habitat suitability of migrant passerines according to habitat preferences T. Koufaki et al. https://doi.org/10.1016/j.ancene.2024.100447
4356. Inferring causation from time series in Earth system sciences J. Runge et al. https://doi.org/10.1038/s41467-019-10105-3
4357. BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model T. Wu et al. https://doi.org/10.5194/gmd-14-2977-2021
4358. The CNRM Global Atmosphere Model ARPEGE‐Climat 6.3: Description and Evaluation R. Roehrig et al. https://doi.org/10.1029/2020MS002075
4359. Observationally-constrained projections of an ice-free Arctic even under a low emission scenario Y. Kim et al. https://doi.org/10.1038/s41467-023-38511-8
4360. Attribution of ocean temperature change to anthropogenic and natural forcings using the temporal, vertical and geographical structure R. Bilbao et al. https://doi.org/10.1007/s00382-019-04910-1
4361. Drivers of anomalous wintertime temperature around Japan revealed by neural networks and dynamical mechanisms of the Indian Ocean Dipole influence K. Yaguchi & T. Tozuka https://doi.org/10.1007/s00382-025-07667-y
4362. Compound wind and precipitation extremes at a global scale based on CMIP6 models: Evaluation, projection and uncertainty X. Zhu et al. https://doi.org/10.1002/joc.8281
4363. Future evolution of aerosols and implications for climate change in the Euro-Mediterranean region using the CNRM-ALADIN63 regional climate model T. Drugé et al. https://doi.org/10.5194/acp-21-7639-2021
4364. Changes in building climate zones over China based on high-resolution regional climate projections Y. Shi & G. Wang https://doi.org/10.1088/1748-9326/abbde8
4365. Potential distribution of White Syndrome in scleractinian corals in the eastern tropical Pacific J. Rodríguez-Villalobos et al. https://doi.org/10.1007/s00227-022-04037-8
4366. Seasonally asymmetric impacts of human activities on the diurnal temperature range over East Asia Y. Shi & Y. Zhang https://doi.org/10.1007/s00382-025-07926-y
4367. Ensemble-based statistical verification of INM RAS Earth system model M. Tarasevich et al. https://doi.org/10.1515/rnam-2023-0014
4368. Contrasting climate and carbon-cycle consequences of fossil-fuel use versus deforestation disturbance K. Jayakrishnan et al. https://doi.org/10.1088/1748-9326/ac69fd
4369. Improved skill of Coupled Model Intercomparison Project phase 6 over phase 5 models in reproducing weather regimes in East Asia W. Chen et al. https://doi.org/10.1002/joc.7817
4370. In-plume and out-of-plume analysis of aerosol–cloud interactions derived from the 2014–2015 Holuhraun volcanic eruption A. Peace et al. https://doi.org/10.5194/acp-24-9533-2024
4371. Downscaling and reconstruction of high-resolution gridded rainfall data over India using deep learning-based generative adversarial network M. Murukesh et al. https://doi.org/10.1007/s40808-023-01899-9
4372. Benchmark decadal forecast skill for terrestrial water storage estimated by an elasticity framework E. Zhu et al. https://doi.org/10.1038/s41467-019-09245-3
4373. Assessing Climate Change Impacts on Precipitation and Temperature in a Mediterranean Basin under CMIP6 Scenarios E. Yalcin & K. Koparal Bozkurt https://doi.org/10.34248/bsengineering.1746627
4374. Impacts of internal variability on winter temperature fluctuations over the Tibetan Plateau Y. Yang et al. https://doi.org/10.1016/j.atmosres.2024.107426
4375. Presentation and Evaluation of the IPSL‐CM6A‐LR Ensemble of Extended Historical Simulations R. Bonnet et al. https://doi.org/10.1029/2021MS002565
4376. Connectedness Between Climate and Commodities: A New Measure Using Mixed-Frequency VECM A. Kabiri et al. https://doi.org/10.1093/jjfinec/nbag016
4377. Scale correction, verification, and warming attribution of summer rainfall extremes over Japan for the d4PDF climate ensemble S. Lee et al. https://doi.org/10.3178/hrl.24-00042
4378. Energy Surplus and an Atmosphere‐Land‐Surface “Tug of War” Control Future Evapotranspiration D. Xu et al. https://doi.org/10.1029/2022GL102677
4379. ROCKE-3D 2.0: an updated general circulation model for simulating the climates of rocky planets K. Tsigaridis et al. https://doi.org/10.5194/gmd-18-5825-2025
4380. Emergent constraints on future precipitation changes H. Shiogama et al. https://doi.org/10.1038/s41586-021-04310-8
4381. Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning A. Grundner et al. https://doi.org/10.1038/s41598-025-29155-3
4382. Projected Trends of Wintertime North American Surface Mean and Extreme Temperatures over the Next Half-century in Two Generations of Canadian Earth System Models B. Yu et al. https://doi.org/10.1080/07055900.2021.1879726
4383. Comparison of Flood Scenarios in the Cunas River Under the Influence of Climate Change C. Torres-Mercado et al. https://doi.org/10.3390/hydrology12050117
4384. Characterization of seawater intrusion based on machine learning and implications for offshore management under shared socioeconomic paths H. Yang et al. https://doi.org/10.1016/j.jhydrol.2023.129862
4385. Projections of fire emissions and the consequent impacts on air quality under 1.5 °C and 2 °C global warming C. Tian et al. https://doi.org/10.1016/j.envpol.2023.121311
4386. Drivers of the mean biases of the tropical atmospheric circulation in a moist static energy framework C. Fan & D. Dommenget https://doi.org/10.1007/s00382-024-07352-6
4387. Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook A. Beamish et al. https://doi.org/10.1016/j.rse.2020.111872
4388. Observational constraint on the future projection of temperature in winter over the Tibetan Plateau in CMIP6 models Y. Peng et al. https://doi.org/10.1088/1748-9326/ac541c
4389. Intercomparison of two model climates simulated by a unified weather-climate model system (GRIST), part I: mean state Z. Fu et al. https://doi.org/10.1007/s00382-024-07205-2
4390. Scenario choice impacts carbon allocation projection at global warming levels L. de Mora et al. https://doi.org/10.5194/esd-14-1295-2023
4391. Projection of future dry‐wet evolution in Northwest China and its uncertainty attribution analysis W. Liu et al. https://doi.org/10.1002/rvr2.39
4392. Projected contraction of climatically suitable habitat for the forest-specialist anuran Quasipaa acanthophora under climate change in northern Vietnam L. Ha et al. https://doi.org/10.3897/herpetozoa.39.e201361
4393. Hydrological Extremes and Responses to Climate Change in the Kelantan River Basin, Malaysia, Based on the CMIP6 HighResMIP Experiments M. Tan et al. https://doi.org/10.3390/w13111472
4394. How is the future climate linked to mean temperature changes over the west coast of India? Part-I: Insights from bias-corrected CMIP6 multi-model ensemble analysis S. Haridas et al. https://doi.org/10.1007/s00382-025-07838-x
4395. Future Changes of Summer Monsoon Characteristics and Evaporative Demand Over Asia in CMIP6 Simulations K. Ha et al. https://doi.org/10.1029/2020GL087492
4396. Observed and Projected Monthly Precipitation Distribution Shifts as Hydroclimatic Indicators for Regional Water-Resource Assessment Using PRISM and NEX-GDDP-CMIP6 T. Temiz & O. Sonmez https://doi.org/10.3390/w18162003
4397. Streams in the Mediterranean Region are not for mussels: Predicting extinctions and range contractions under future climate change J. da Silva et al. https://doi.org/10.1016/j.scitotenv.2023.163689
4398. Drivers and distribution of global ocean heat uptake over the last half century M. Huguenin et al. https://doi.org/10.1038/s41467-022-32540-5
4399. Do Higher Horizontal Resolution Models Perform Better? S. Kusunoki https://doi.org/10.1007/s00376-025-5504-4
4400. Ocean Heat Storage in Response to Changing Ocean Circulation Processes F. Dias et al. https://doi.org/10.1175/JCLI-D-19-1016.1
4401. Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. https://doi.org/10.5194/gmd-16-1481-2023
4402. Tropical cyclone genesis over the western North Pacific simulated by Coupled Model Intercomparison Project Phase 6 models C. Gao & L. Zhou https://doi.org/10.1007/s13131-021-1860-9
4403. Effects of Last Glacial Maximum (LGM) sea surface temperature and sea ice extent on the isotope–temperature slope at polar ice core sites A. Cauquoin et al. https://doi.org/10.5194/cp-19-1275-2023
4404. Present and Future Changes in Winter Cyclonic Activity in the Mediterranean–Black Sea Region in the 21st Century Based on an Ensemble of CMIP6 Models E. Voskresenskaya et al. https://doi.org/10.3390/atmos13101573
4405. Modelling temperature‐precipitation pressures on African timber heritage J. Richards et al. https://doi.org/10.1002/joc.8273
4406. Mass-change And Geosciences International Constellation (MAGIC) expected impact on science and applications I. Daras et al. https://doi.org/10.1093/gji/ggad472
4407. Targeted Calibration to Adjust Stability Biases in Complex Dynamical System Models D. Pals et al. https://doi.org/10.1103/624z-1p1s
4408. Using CNN framework to improve multi-GCM ensemble predictions of monthly precipitation at local areas: An application over China and comparison with other methods L. Sun et al. https://doi.org/10.1016/j.jhydrol.2023.129866
4409. Hot extremes have become drier in the United States Southwest K. McKinnon et al. https://doi.org/10.1038/s41558-021-01076-9
4410. Global ecological restoration framework trading off carbon sequestration and water consumption Q. Han et al. https://doi.org/10.1007/s11430-025-1729-3
4411. Coupled effects of land-use/cover change and climate change on ecosystem services from a cross-scale perspective: Research progress and future directions C. Qin et al. https://doi.org/10.1016/j.ecofro.2026.07.001
4412. Framework for Incorporating Downscaled Climate Output into Existing Engineering Methods: Application to Precipitation Frequency Curves L. Cook et al. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000382
4413. Upper bounds for 21st-century surface air temperatures in the Western United States M. Risser et al. https://doi.org/10.1088/1748-9326/adda62
4414. Hybrid deep learning downscaling of GCMs for climate impact assessment and future projections in Oman E. Zarei et al. https://doi.org/10.1016/j.jenvman.2025.124522
4415. The Influence of Natural and Anthropogenic Forcing on Water and Energy Balance and on Photosynthesis J. Song et al. https://doi.org/10.3390/land10111151
4416. Future changes of upscale ocean kinetic energy transfer under greenhouse warming S. Wang et al. https://doi.org/10.1038/s41612-026-01429-1
4417. Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 G. Di Virgilio et al. https://doi.org/10.5194/gmd-18-703-2025
4418. Lagrangian Analysis of Tropical Cyclone Genesis Simulated by General Circulation Models Compared with Observations C. Song et al. https://doi.org/10.1175/JCLI-D-19-0586.1
4419. The historical climate trend resulted in changed vertical transport patterns in climate model simulations A. Jeske & H. Tost https://doi.org/10.5194/acp-25-14435-2025
4420. Heteroscedastic Characteristics of Precipitation with Climate Changes in China Z. Qian et al. https://doi.org/10.3390/atmos13122116
4421. Human-induced intensified seasonal cycle of sea surface temperature F. Liu et al. https://doi.org/10.1038/s41467-024-48381-3
4422. Representations of Summer North Africa and North Pacific Subtropical Highs in CMIP6 Simulations S. Kingbe et al. https://doi.org/10.1002/joc.70082
4423. Bioclimatic change as a function of global warming from CMIP6 climate projections M. Sparey et al. https://doi.org/10.5194/bg-20-451-2023
4424. Uncertainty in US forest carbon storage potential due to climate risks C. Wu et al. https://doi.org/10.1038/s41561-023-01166-7
4425. The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) D. Van Vuuren et al. https://doi.org/10.5194/gmd-19-2627-2026
4426. Timing of spring events changes under modelled future climate scenarios in a mesotrophic lake J. Mesman et al. https://doi.org/10.5194/hess-28-1791-2024
4427. Land-air coupling exacerbates the future risk of concurrent daytime-nighttime hot extremes K. Zhang et al. https://doi.org/10.1007/s11430-024-1519-2
4428. Future climate imposes pressure on vulnerable ecological regions in China X. Lian et al. https://doi.org/10.1016/j.scitotenv.2022.159995
4429. Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model L. Calle & B. Poulter https://doi.org/10.5194/gmd-14-2575-2021
4430. Comparisons of simulated radiation, surface wind stress and SST fields over tropical pacific by the GISS CMIP6 versions of global climate models with observations J. Li et al. https://doi.org/10.1088/2515-7620/aca9ab
4431. Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas M. Lalande et al. https://doi.org/10.5194/tc-17-5095-2023
4432. Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al. https://doi.org/10.3390/rs15235460
4433. Climate‐driven decline in the habitat of the endemic spiny babbler (Turdoides nipalensis) B. Adhikari et al. https://doi.org/10.1002/ecs2.4584
4434. Climate Change Intensifies Cropland Drought Exposure in the Indus River Basin During the 21st Century M. Hussain et al. https://doi.org/10.1002/joc.70544
4435. Uncertainty analysis of global meteorological drought in CMIP6 projections Q. Niu et al. https://doi.org/10.1007/s10584-025-03919-2
4436. Km-scale coupled simulation and model–observation SST trend discrepancy S. Kang et al. https://doi.org/10.1073/pnas.2522161123
4437. Propagation and future projection of dry-wet abrupt alternation through the hydrological cycle using a GCM-VIC modeling framework S. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103631
4438. Air mass origin and local impacts on Antarctic snow isotopic composition: an observation and modelling study A. Petteni et al. https://doi.org/10.5194/tc-20-3581-2026
4439. Mathematical modeling of Elbrus glaciers in the 21st century. Part 1. Glaciological model and setup of numerical experiments. T. Postnikova et al. https://doi.org/10.31857/S2076673424030015
4440. Changes in Antarctic surface conditions and potential for ice shelf hydrofracturing from 1850 to 2200 N. Jourdain et al. https://doi.org/10.5194/tc-19-1641-2025
4441. South Asian summer rainfall from CMIP3 to CMIP6 models: biases and improvements L. He et al. https://doi.org/10.1007/s00382-022-06542-4
4442. The potential habitat of desert locusts is contracting: predictions under climate change scenarios J. Guan et al. https://doi.org/10.7717/peerj.12311
4443. Explainable Artificial Intelligence for Bayesian Neural Networks: Toward Trustworthy Predictions of Ocean Dynamics M. Clare et al. https://doi.org/10.1029/2022MS003162
4444. The important role of African emissions reductions in projected local rainfall changes D. Shindell et al. https://doi.org/10.1038/s41612-023-00382-7
4445. Antarctic extreme seasons under 20th and 21st century climate change T. Bracegirdle et al. https://doi.org/10.1038/s41612-024-00822-y
4446. The underestimated magnitude and decline trend in near‐surface wind over China Y. Jiang et al. https://doi.org/10.1002/asl.791
4447. Prediction of the Arctic Sea Ice Characteristics for Summer Seasons Using the INM RAS Earth System Model V. Bragina et al. https://doi.org/10.3103/S106837392408003X
4448. Anthropogenic aerosols mask increases in US rainfall by greenhouse gases M. Risser et al. https://doi.org/10.1038/s41467-024-45504-8
4449. Academic influence index evaluation report of geographic simulation models (2022) K. Xu et al. https://doi.org/10.1016/j.envsoft.2024.105970
4450. Long-term weakening of extreme cold stress in eastern China X. Li et al. https://doi.org/10.1016/j.wace.2026.100960
4451. Ambient heat stress and urolithiasis attacks in China: Implication for climate change L. Zhou et al. https://doi.org/10.1016/j.envres.2022.114850
4452. Predicting the expansion of Gephyraulus lycantha as a key pest of goji berry in China under climate change Z. Song et al. https://doi.org/10.3389/fpls.2026.1786710
4453. Delayed onset of the tropical Asian summer monsoon in CMIP6 can be linked to the cold bias over the Tibetan Plateau D. Hu et al. https://doi.org/10.1088/1748-9326/acff79
4454. Predicting potential global and future distributions of the African armyworm (Spodoptera exempta) using species distribution models I. Gómez-Undiano et al. https://doi.org/10.1038/s41598-022-19983-y
4455. Mechanisms of tropical precipitation biases in climate models H. Kim et al. https://doi.org/10.1007/s00382-020-05325-z
4456. A 120-year record of environmental change and landscape responses from nebkha deposits in the Mu Us dune field, north-central China Z. Xu et al. https://doi.org/10.1016/j.quascirev.2026.110091
4457. Simulation of the Land and Ocean Carbon Cycle with the INM-CM6 Earth System Model A. Chernenkov et al. https://doi.org/10.3103/S1068373925090067
4458. Co‐constructing an Interactive Tool to Support Climate Change Resilience Planning in Industry S. Sroka et al. https://doi.org/10.1002/cli2.70008
4459. How climate change intensified storm Boris’ extreme rainfall, revealed by near-real-time storylines M. Athanase et al. https://doi.org/10.1038/s43247-024-01847-0
4460. Changes in ENSO-driven Hadley circulation variability under global warming X. Xie et al. https://doi.org/10.1016/j.atmosres.2022.106220
4461. New and Noteworthy Taxa of the Genus Dactylorhiza Necker ex Nevski (Orchidaceae Juss.) in Kazakhstan Flora and Its Response to Global Warming A. Sumbembayev et al. https://doi.org/10.3390/d15030369
4462. Differences in Radiative Forcing, Not Sensitivity, Explain Differences in Summertime Land Temperature Variance Change Between CMIP5 and CMIP6 D. Chan et al. https://doi.org/10.1029/2021EF002402
4463. Development of climate indices relevant for agriculture in Africa under different climate change scenarios based on GCM and RCM ensembles K. Ziegler et al. https://doi.org/10.1088/2752-5295/ad9f94
4464. Ecological niche modeling for determining grass species suitable for Hirola range‐wide restoration and reintroduction in eastern Kenya A. Ali & G. Muriuki https://doi.org/10.1111/rec.70284
4465. Data science and climate risk analytics S. Sain https://doi.org/10.1002/env.2749
4466. Critical Role of Area Weighting on Estimated Long-Term Global Warming and Heat Wave Trends S. Ju et al. https://doi.org/10.3390/appliedmath4040086
4467. Analogous response of temperate terrestrial exoplanets and Earth’s climate dynamics to greenhouse gas supplement A. Hochman et al. https://doi.org/10.1038/s41598-023-38026-8
4468. Band-by-band spectral radiative kernels based on the ERA5 reanalysis H. Huang et al. https://doi.org/10.1038/s41597-024-03080-y
4469. Increased projected changes in quasi-resonant amplification and persistent summer weather extremes in the latest multimodel climate projections S. Guimarães et al. https://doi.org/10.1038/s41598-024-72787-0
4470. Rapid Sea-Level Rise in the Southern-Hemisphere Subtropical Oceans J. Duan et al. https://doi.org/10.1175/JCLI-D-21-0248.1
4471. Climate Projections Very Likely Underestimate Future Volcanic Forcing and Its Climatic Effects M. Chim et al. https://doi.org/10.1029/2023GL103743
4472. Trends, variability and predictive skill of the ocean heat content in North Atlantic: an analysis with the EC-Earth3 model T. Carmo-Costa et al. https://doi.org/10.1007/s00382-021-05962-y
4473. Methods, challenges, and possible improvements in climate zoning for buildings: A comprehensive literature review A. Remizov & S. Memon https://doi.org/10.1016/j.egyr.2026.109424
4474. Assessing the performance of the CMIP6 multi model mean in simulating precipitation and temperature across Africa S. Zebaze et al. https://doi.org/10.1007/s40808-025-02560-3
4475. Anthropogenic Aerosol Dominates the Decadal Change in Evapotranspiration over Southeastern China in the Past Four Decades Z. Kong et al. https://doi.org/10.3390/rs17030561
4476. Understanding future changes of extremely pluvial winters over the Yangtze–Huai River Basin using CMIP6 projections J. He et al. https://doi.org/10.1016/j.aosl.2026.100902
4477. How Does the Quasi-Biennial Oscillation Affect the Boreal Winter Tropospheric Circulation in CMIP5/6 Models? J. Rao et al. https://doi.org/10.1175/JCLI-D-20-0024.1
4478. Future-proofing raised bed irrigation for rabi maize using sensor-based soil moisture monitoring, AquaCrop modeling, and CMIP6-based climate projections in Bangladesh M. Islam et al. https://doi.org/10.1016/j.agwat.2026.110740
4479. Model uncertainties in climate change impacts on Sahel precipitation in ensembles of CMIP5 and CMIP6 simulations P. Monerie et al. https://doi.org/10.1007/s00382-020-05332-0
4480. Microhabitat Preferences, Climate Vulnerability and Conservation Status of the High‐Elevation Orange‐Speckled Forest Skink (Tumbunascincus luteilateralis) J. Farquhar et al. https://doi.org/10.1111/aec.70083
4481. Westward shift of tropical cyclogenesis over the southern Indian Ocean X. Cao et al. https://doi.org/10.1088/1748-9326/ad1d9b
4482. Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM T. Ramotubei et al. https://doi.org/10.3389/fclim.2025.1504756
4483. Nonlinear thermal responses of soil respiration temperature sensitivity under climate change Z. Yang et al. https://doi.org/10.1016/j.gloplacha.2026.105727
4484. Anthropogenic climate change has reduced drought recovery probabilities across the western US E. Williams et al. https://doi.org/10.1038/s43247-024-01640-z
4485. Influences of climate change on carbon and water fluxes of the ecosystem in the Qinling Mountains of China K. Gong et al. https://doi.org/10.1016/j.ecolind.2024.112504
4486. Applications of species distribution modeling and future needs to support marine resource management M. Karp et al. https://doi.org/10.1093/icesjms/fsaf024
4487. Future changes in extreme precipitation events over the Volta basin under medium and high emission scenarios J. Agyekum et al. https://doi.org/10.1007/s00382-025-07957-5
4488. Revisiting the Upwelling Evolution along the Western Iberian Peninsula over the 21st Century Using Dynamically Downscaled CMIP6 Data B. Thomas et al. https://doi.org/10.3390/jmse12091494
4489. Assessment of the Ability of CMIP6 GCMS to Simulate the Boreal Summer Intraseasonal Oscillation Over Southeast Asia A. Abatan et al. https://doi.org/10.3389/fclim.2021.716129
4490. Population-specific thermal responses contribute to regional variability in arbovirus transmission with changing climates R. Fay et al. https://doi.org/10.1016/j.isci.2024.109934
4491. The CMIP6 Historical Simulation Datasets Produced by the Climate System Model CAMS-CSM X. Rong et al. https://doi.org/10.1007/s00376-020-0171-y
4492. Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region G. Ferreiro-Lera et al. https://doi.org/10.3390/rs16111831
4493. Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. https://doi.org/10.5194/acp-25-5175-2025
4494. Permafrost Thawing and Estimates of Vulnerable Carbon in the Northern High Latitude I. Nadeem et al. https://doi.org/10.1007/s41748-024-00491-0
4495. A Gaussian process emulator for simulating ice sheet–climate interactions on a multi-million-year timescale: CLISEMv1.0 J. Van Breedam et al. https://doi.org/10.5194/gmd-14-6373-2021
4496. Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs T. Wong et al. https://doi.org/10.1029/2022EF003061
4497. European heat extremes under net-zero emissions E. Alastrué de Asenjo et al. https://doi.org/10.1088/1748-9326/addee4
4498. Carbon sink dynamics and resilience thresholds of a volcanic island land–sea system in the Beibu Gulf: Evidence from CMIP6 simulations and sediment records since 1961 Y. Lin et al. https://doi.org/10.1016/j.palaeo.2026.114105
4499. Near future projections of tropical cyclone tracks over the Bay of Bengal using high resolution CMIP6 models R. Adsul et al. https://doi.org/10.1038/s41598-026-35482-w
4500. Potential geographical distribution and its multi-factor analysis of Pinus massoniana in China based on the maxent model Y. He et al. https://doi.org/10.1016/j.ecolind.2023.110790
4501. Impact of land use changes and global warming on extreme precipitation patterns in the Maritime Continent J. Hsu et al. https://doi.org/10.1038/s41612-024-00883-z
4502. Century-scale attribution of winter extreme cold events in the East Asian monsoon region Z. Chen et al. https://doi.org/10.1088/1748-9326/ae886f
4503. Evaluating regional climate change during 2021–2080 for Iran and neighboring countries (a comparative analysis of projections and reanalysis data) H. Dehban et al. https://doi.org/10.1007/s00704-025-05381-7
4504. Toward a Consistent Definition between Satellite and Model Clear-Sky Radiative Fluxes N. Loeb et al. https://doi.org/10.1175/JCLI-D-19-0381.1
4505. Terrestrial amplification of past, present, and future climate change A. Seltzer et al. https://doi.org/10.1126/sciadv.adf8119
4506. Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. https://doi.org/10.1029/2022RG000780
4507. Enhancing multi-model ensemble simulations of climate extremes over the Tibetan Plateau using machine learning T. Cui et al. https://doi.org/10.1007/s00704-025-05622-9
4508. Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. https://doi.org/10.5194/acp-24-13633-2024
4509. Increased synoptic variability along the subtropical Meiyu front under global warming G. Yang & T. Li https://doi.org/10.1007/s00382-022-06554-0
4510. Passive cooling to mitigate climate-induced performance losses in photovoltaics H. Tan et al. https://doi.org/10.1016/j.xcrp.2026.103512
4511. Dramatic Weakening of the Tropical Easterly Jet Projected by CMIP6 Models S. Huang et al. https://doi.org/10.1175/JCLI-D-19-1002.1
4512. Monthly North Atlantic Sea Level Pressure Reconstruction Back to 1750 CE Using Artificial Intelligence Optimization F. Jaume-Santero et al. https://doi.org/10.1175/JCLI-D-21-0155.1
4513. Climate model trend errors are evident in seasonal forecasts at short leads J. Beverley et al. https://doi.org/10.1038/s41612-024-00832-w
4514. Evidence of localised Amazon rainforest dieback in CMIP6 models I. Parry et al. https://doi.org/10.5194/esd-13-1667-2022
4515. Future projections of aridity change across Africa's climatic regions E. Dioha et al. https://doi.org/10.1016/j.atmosres.2026.108916
4516. Planting suitability of China’s main grain crops under future climate change T. Lv et al. https://doi.org/10.1016/j.fcr.2023.109112
4517. When Will the Unprecedented 2022 Summer Heat Waves in Yangtze River Basin Become Normal in a Warming Climate? F. Ma & X. Yuan https://doi.org/10.1029/2022GL101946
4518. Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6 H. Wu et al. https://doi.org/10.1088/2515-7620/ac620e
4519. Improved simulation of the influence of the North Pacific Oscillation on El Niño-Southern Oscillation in CMIP6 than in CMIP5 models S. Chen et al. https://doi.org/10.1007/s00382-024-07423-8
4520. Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model S. Dixit et al. https://doi.org/10.1007/s00477-022-02230-1
4521. Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models T. Uchida et al. https://doi.org/10.5194/gmd-15-5829-2022
4522. Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system R. Mahmood et al. https://doi.org/10.5194/esd-13-1437-2022
4523. Prediction of the typhoon wind field in Hong Kong: integrating the effects of climate change using the Shared Socioeconomic Pathways J. Wang et al. https://doi.org/10.1007/s00382-022-06211-6
4524. pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies A. Hernanz et al. https://doi.org/10.1016/j.cliser.2023.100408
4525. Reduced spread of simulated global warming patterns among CMIP6 models with elevated level of warming Y. Meng et al. https://doi.org/10.1088/1748-9326/add9ae
4526. Future changes in hydro-climatic extremes of a large transboundary river basin using multi-model bias-corrected CMIP6 projections K. Rahaman et al. https://doi.org/10.1007/s11356-025-36754-0
4527. Historical (1850–2014) Aerosol Evolution and Role on Climate Forcing Using the GISS ModelE2.1 Contribution to CMIP6 S. Bauer et al. https://doi.org/10.1029/2019MS001978
4528. Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models J. Maqsood et al. https://doi.org/10.1038/s41598-024-63450-9
4529. Human influence on climate detectable in the late 19th century B. Santer et al. https://doi.org/10.1073/pnas.2500829122
4530. Increasing seasonal disparity in water availability across the Northern Hemisphere F. Zhao et al. https://doi.org/10.59717/j.xinn-geo.2026.100191
4531. Climate change impacts on South American water balance from a continental-scale hydrological model driven by CMIP5 projections J. Brêda et al. https://doi.org/10.1007/s10584-020-02667-9
4532. Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake Z. Chen et al. https://doi.org/10.1038/s41467-024-45957-x
4533. A physiological approach for assessing human survivability and liveability to heat in a changing climate J. Vanos et al. https://doi.org/10.1038/s41467-023-43121-5
4534. The contributions of individual countries and regions to the global radiative forcing B. Fu et al. https://doi.org/10.1073/pnas.2018211118
4535. Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al. https://doi.org/10.1029/2022WR034012
4536. The Rising Threat of Atmospheric CO2: A Review on the Causes, Impacts, and Mitigation Strategies L. Nunes https://doi.org/10.3390/environments10040066
4537. Air-sea coupling influence on projected changes in major Atlantic hurricane events D. Danso et al. https://doi.org/10.1016/j.wace.2024.100649
4538. Global kilometer-scale climate simulations: new opportunities for climate services D. Saint-Martin et al. https://doi.org/10.1088/1748-9326/aea00d
4539. Improved decomposition of cloud feedback and corresponding pattern change under uniform surface ocean warming: I. Anomalous mean method J. Feng & J. Ma https://doi.org/10.1186/s40562-025-00407-4
4540. Uncertainty in the projected changes of Sahel summer rainfall under global warming in CMIP5 and CMIP6 multi-model ensembles Z. Zhang & G. Li https://doi.org/10.1007/s00382-022-06284-3
4541. CMIP6 model performance in simulating precipitation and its extreme characteristics across Southeast Asia T. Soe et al. https://doi.org/10.1007/s00382-025-07938-8
4542. Global predictions of topsoil organic carbon stocks under changing climate in the 21st century B. Chen et al. https://doi.org/10.1016/j.scitotenv.2023.168448
4543. Consistency of global carbon budget between concentration- and emission-driven historical experiments simulated by CMIP6 Earth system models and suggestions for improved simulation of CO2 concentration T. Hajima et al. https://doi.org/10.5194/bg-22-1447-2025
4544. The effect of wet season river flows on flood plume distribution across northern Australia; contribution to coastal productivity, and future extent under climate change P. Cartwright et al. https://doi.org/10.1016/j.rsma.2025.104307
4545. Projecting the response of Greenland's peripheral glaciers to future climate change: glacier losses, sea level impact, freshwater contributions, and peak water timing M. Shafeeque et al. https://doi.org/10.5194/tc-20-875-2026
4546. Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes H. Wu et al. https://doi.org/10.1038/s41467-025-65000-x
4547. Assessment of CMIP6 models’ performance for South America: multilevel perspective M. da Silva et al. https://doi.org/10.1007/s00704-026-06585-1
4548. Multi-objective optimization for sustainable agricultural strategies considering future climatic scenarios: A study in the context of India S. Sharma et al. https://doi.org/10.1016/j.compchemeng.2025.109306
4549. Spatiotemporal patterns in precipitation whiplash over China during 1901–2100 based on CMIP6 simulations H. Luo et al. https://doi.org/10.1088/2515-7620/ad97aa
4550. Context matters when using climate model projections for aquaculture L. Falconer et al. https://doi.org/10.3389/fmars.2023.1198451
4551. Evaluation of historical CMIP6 model simulations and future projections of temperature and precipitation in Paraguay M. Lovino et al. https://doi.org/10.1007/s10584-021-03012-4
4552. Pre-training for deep statistical climate downscaling: enhancing consistency and robustness across regional datasets J. González-Abad et al. https://doi.org/10.5194/gmd-19-5781-2026
4553. Evaluation of extreme sub-daily precipitation in high-resolution global climate model simulations M. Wehner et al. https://doi.org/10.1098/rsta.2019.0545
4554. Subdiurnal to Interannual Frequency Analysis of Observed and Modeled Reflected Shortwave Radiation From Earth D. Feldman et al. https://doi.org/10.1029/2020GL089221
4555. Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines T. Matsuta et al. https://doi.org/10.1371/journal.pone.0326303
4556. Variations in the 30–60‐Day Intra‐Seasonal Variability of Spring Precipitation Over the Mid‐Low Reaches of the Yangtze River and the Possible Mechanism S. Yu & J. Sun https://doi.org/10.1029/2022JD038070
4557. Dynamic modeling of topsoil organic carbon and its scenarios forecast in global Mollisols regions Y. Bao et al. https://doi.org/10.1016/j.jclepro.2023.138544
4558. ICON‐A, the Atmosphere Component of the ICON Earth System Model: I. Model Description M. Giorgetta et al. https://doi.org/10.1029/2017MS001242
4559. Prevalent atmospheric and oceanic signals of the unprecedented heatwaves over the Yangtze River Valley in July–August 2022 Z. Yin et al. https://doi.org/10.1016/j.atmosres.2023.107018
4560. Causal Relationships between Climate and the Carbon Cycle Considering Natural Climate Variability and Economic Cyclicity of Anthropogenic Greenhouse Gas Emissions into the Atmosphere K. Muryshev et al. https://doi.org/10.3103/S0027134925700778
4561. Decreased river runoff on the Mongolian Plateau since around 2000 W. Qi et al. https://doi.org/10.1007/s10980-024-01877-1
4562. Different ENSO Impacts on Eastern China Precipitation Patterns in Early and Late Winter Associated with Seasonally-Varying Kuroshio Anticyclonic Anomalies J. Yan et al. https://doi.org/10.1007/s00376-023-3196-1
4563. Could CMIP6 climate models reproduce the early-2000s global warming slowdown? M. Wei et al. https://doi.org/10.1007/s11430-020-9740-3
4564. Co‐occurrence of California Drought and Northeast Pacific Marine Heatwaves Under Climate Change H. Shi et al. https://doi.org/10.1029/2021GL092765
4565. Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires https://doi.org/10.1007/s10584-023-03597-y
4566. CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output E. Robinson et al. https://doi.org/10.5194/essd-15-5371-2023
4567. Skill comparisons and physical drivers of multi-decadal rapid warming of Indian Ocean in CMIP6 models Z. Zhang et al. https://doi.org/10.1007/s00382-025-07706-8
4568. Raised bed furrow irrigation strategies and soil moisture dynamics for sustainable maize production in Bangladesh: Climate-informed DSSAT modeling under CMIP6 projections A. Adham et al. https://doi.org/10.1016/j.rineng.2026.111185
4569. Warming-induced cryosphere changes predict drier Andean eco-regions A. Al-Yaari et al. https://doi.org/10.1088/1748-9326/ad6ea6
4570. CO2 fertilization is spatially distinct from stomatal conductance reduction in controlling ecosystem water-use efficiency increase X. Zhang et al. https://doi.org/10.1088/1748-9326/ac6c9c
4571. Structure and Performance of GFDL's CM4.0 Climate Model I. Held et al. https://doi.org/10.1029/2019MS001829
4572. Terrestrial Stilling Projected to Continue in the Northern Hemisphere Mid‐Latitudes K. Deng et al. https://doi.org/10.1029/2021EF002448
4573. Simulation of observed climate changes in 1850–2014 with climate model INM-CM5 E. Volodin & A. Gritsun https://doi.org/10.5194/esd-9-1235-2018
4574. Evaluation and Projection of Precipitation in CMIP6 Models over the Qilian Mountains, China X. Yang et al. https://doi.org/10.3390/rs15174350
4575. Conversion from coniferous to broadleaved trees can make European forests more climate-effective Y. Yao et al. https://doi.org/10.1038/s41467-025-64580-y
4576. Wave energy characteristics in the South China Sea under future scenarios of the Coupled Model Intercomparison Project Phase 6 B. Xie et al. https://doi.org/10.1007/s13131-025-2575-0
4577. Influence of Winter Tasman Sea SST on the Antarctic Peninsula: A Perspective from Historical Simulations R. Wang et al. https://doi.org/10.1007/s00376-024-4350-0
4578. Classification of synoptic circulation patterns with a two-stage clustering algorithm using the modified structural similarity index metric (SSIM) K. Winderlich et al. https://doi.org/10.5194/esd-15-607-2024
4579. Emergent constraint on the projected central equatorial Pacific warming and northwestern Pacific monsoon trough change T. Tang et al. https://doi.org/10.1088/1748-9326/ad3a80
4580. Forecasting offshore wind energy in Atlantic Europe using CMIP6 dynamically downscaled data B. Thomas et al. https://doi.org/10.1016/j.energy.2025.139595
4581. Decadal modulation of temperature pattern over East Asia by Pacific Decadal Oscillation R. Guo et al. https://doi.org/10.1016/j.atmosres.2024.107248
4582. Climate-driven expansion and northwest migration of earthworm habitats on China’s Loess Plateau Z. Li et al. https://doi.org/10.1016/j.ecolind.2025.114491
4583. Tropical forests are facing increasing risks of exposure to critical temperature thresholds N. van Tiel et al. https://doi.org/10.1073/pnas.2528622123
4584. Not the expected poleward migration: Impact of climate change scenarios on the distribution of two endemic evergreen broad-leaved Quercus species in China H. Song et al. https://doi.org/10.1016/j.scitotenv.2023.164273
4585. Assessing the impact of climate change on rainfall patterns in Kermanshah, Iran: a machine learning approach A. Almasi et al. https://doi.org/10.1007/s13201-026-02768-3
4586. Constraining future surface air temperature change on the Tibetan Plateau J. Wang et al. https://doi.org/10.1088/1748-9326/ad6677
4587. Atmosphere teleconnections from abatement of China aerosol emissions exacerbate Northeast Pacific warm blob events H. Wang et al. https://doi.org/10.1073/pnas.2313797121
4588. Record‐breaking daily rainfall in the United Kingdom and the role of anthropogenic forcings N. Christidis et al. https://doi.org/10.1002/asl.1033
4589. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. https://doi.org/10.1126/sciadv.adf2758
4590. Modeling the Potential Climatic Suitability and Expansion Risk of Tuta absoluta (Meyrick, 1917) (Lepidoptera: Gelechiidae) Under Future Climate Scenarios T. Gao et al. https://doi.org/10.3390/insects16020185
4591. Climate warming accelerates carbon release from foliar litter—A global synthesis Z. Chen et al. https://doi.org/10.1111/gcb.17350
4592. Chemistry, Climate, and Transmission Spectra of TRAPPIST-1 e Explored with a Multimodel Sparse Sampled Ensemble E. Wolf et al. https://doi.org/10.3847/PSJ/ae031e
4593. A distributionally robust optimization model for building-integrated photovoltaic system expansion planning under demand and irradiance uncertainties Z. Wu et al. https://doi.org/10.1016/j.apenergy.2024.123740
4594. On the role of AMOC weakening in shaping wintertime Euro-Atlantic atmospheric circulation A. Vacca et al. https://doi.org/10.1007/s00382-025-07747-z
4595. Different Climate Responses to Northern, Tropical, and Southern Volcanic Eruptions in CMIP6 Models Q. Zeng & S. Chen https://doi.org/10.3390/cli14010008
4596. Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. https://doi.org/10.5194/acp-21-4979-2021
4597. Anthropogenic Attribution of the Increasing Seasonal Amplitude in Surface Ocean pCO2 F. Joos et al. https://doi.org/10.1029/2023GL102857
4598. Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization K. Morrison et al. https://doi.org/10.1371/journal.pone.0246662
4599. A frequent ice-free Arctic is likely to occur before the mid-21st century Z. Shen et al. https://doi.org/10.1038/s41612-023-00431-1
4600. Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. https://doi.org/10.5194/acp-23-13523-2023
4601. Twenty-first century surface UV radiation changes deduced from CMIP6 models. Part II: effects on UV index and plant growth weighted irradiance A. Chatzopoulou et al. https://doi.org/10.1007/s43630-024-00676-6
4602. Larval habitat suitability and landscape genetics of the mosquito Anopheles coluzzii on São Tomé and Príncipe islands L. Chamberland et al. https://doi.org/10.1007/s10980-025-02059-3
4603. Climate Perspectives in the Intra–Americas Seas A. Durán-Quesada et al. https://doi.org/10.3390/atmos11090959
4604. Modeling the Impact of Climate Change on the Distribution of Populus adenopoda in China Using the MaxEnt Model Y. Tian et al. https://doi.org/10.3390/f16111662
4605. Impact of major tropical volcanic eruptions on air temperatures in the Middle East G. Roshan et al. https://doi.org/10.1007/s12145-025-01954-2
4606. Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China Z. Song et al. https://doi.org/10.1016/j.jhydrol.2021.126643
4607. Estimation of probable maximum precipitation (PMP) in Hong Kong under future changing climate based on statistical downscaling S. Chan et al. https://doi.org/10.1016/j.uclim.2024.101988
4608. Abrupt excursions in water vapor isotopic variability at the Pointe Benedicte observatory on Amsterdam Island A. Landais et al. https://doi.org/10.5194/acp-24-4611-2024
4609. Efficacy of climate forcings in transient CMIP6 simulations G. Myhre et al. https://doi.org/10.3389/fclim.2024.1397358
4610. Increases in ozone-related mortality in China over 2013–2030 attributed to historical ozone deterioration and future population aging L. Chen et al. https://doi.org/10.1016/j.scitotenv.2022.159972
4611. Sensitivity of Arctic sea ice recovery to stratospheric aerosol injection latitude H. Kim et al. https://doi.org/10.1038/s41612-025-01298-0
4612. Scenario-Based Forecasts of Changes in the Temperature and Hydrological Regime of Crimea in the XXI Century by Data of CMIP6 Climate Models V. Semenov & M. Aleshina https://doi.org/10.1134/S0097807822040170
4613. Diversity of ENSO‐Related Surface Temperature Response in Future Projection in CMIP6 Climate Models: Climate Change Scenario Versus ENSO Intensity S. Yeh et al. https://doi.org/10.1029/2021GL096135
4614. Change of the wintertime multidecadal land precipitation variability in the mid‐1970s in the observation and CMIP6 simulations H. Chen et al. https://doi.org/10.1002/joc.7995
4615. A 578-year precipitation reconstruction in the southeastern Tibetan Plateau reveals AMV modulation of regional hydroclimate Y. Ding et al. https://doi.org/10.1016/j.palaeo.2026.114249
4616. Research on the future climate change and runoff response in the mountainous area of Yongding watershed J. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130108
4617. Increasing multiscale variability in extreme precipitation under global warming in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.130158
4618. Future changes in environmental stressors for the seamount chains of the Southeast Pacific M. Hammond et al. https://doi.org/10.3389/fmars.2025.1550708
4619. The tropical Atlantic as a negative feedback on ENSO I. Richter et al. https://doi.org/10.1007/s00382-022-06582-w
4620. Radiative sensitivity quantified by a new set of radiation flux kernels based on the ECMWF Reanalysis v5 (ERA5) H. Huang & Y. Huang https://doi.org/10.5194/essd-15-3001-2023
4621. China's Yangtze River basin is becoming the super heatwave centre in the East Asian monsoon regions J. Wei et al. https://doi.org/10.1002/joc.8621
4622. Analysis of global trade patterns and industrial layout in medicinal plants: A case study of Eucommia ulmoides oliver H. Luo et al. https://doi.org/10.1016/j.indcrop.2025.120555
4623. Spatiotemporal simulation of blue-green space pattern evolution and carbon storage under different SSP-RCP scenarios in Wuhan G. Li et al. https://doi.org/10.1038/s41598-025-88299-4
4624. CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments B. HE et al. https://doi.org/10.1080/16742834.2020.1778419
4625. Scenario-based analysis of the projected mean changes in the monthly frequency of hot days based on the latest CMIP6 simulations along European zonal segments F. Divinszki et al. https://doi.org/10.15201/hungeobull.75.1.1
4626. Climate change economics in Vietnam: Redefining economic impact C. Otto et al. https://doi.org/10.1016/j.eneco.2026.109390
4627. Observed Changes and Projected Risks of Hot–Dry/Hot–Wet Compound Events in China Y. Zou & X. Song https://doi.org/10.3390/rs16224208
4628. Causal networks for climate model evaluation and constrained projections P. Nowack et al. https://doi.org/10.1038/s41467-020-15195-y
4629. Future precipitation changes in California: Comparison of CMIP5 and CMIP6 intermodel spread and its drivers D. Petrova et al. https://doi.org/10.1002/joc.8449
4630. Simulation of Present Day Climate with Climate Model INMCM60 E. Volodin https://doi.org/10.31857/S0002351523010133
4631. Evidence of rapid adaptation integrated into projections of temperature-related excess mortality V. Huber et al. https://doi.org/10.1088/1748-9326/ac5dee
4632. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al. https://doi.org/10.5194/gmd-17-8141-2024
4633. Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa H. Babaousmail et al. https://doi.org/10.3390/atmos12040475
4634. Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. https://doi.org/10.5194/acp-23-743-2023
4635. Climate change impacts on the within-country income distributions M. Gilli et al. https://doi.org/10.1016/j.jeem.2024.103012
4636. Increasing risk of 2022-like droughts in Europe under climate change: evidence from Large Ensembles using flow analogs B. Bulut et al. https://doi.org/10.1007/s10584-026-04235-z
4637. Energy-based threshold for soybean target spot management under climate change in Brazil G. Luca et al. https://doi.org/10.3389/fagro.2026.1835386
4638. Strong intermodel differences and biases in CMIP6 simulations of PM2.5, aerosol optical depth, and precipitation over Africa C. Toolan et al. https://doi.org/10.5194/acp-25-10523-2025
4639. Increasing Frequency of Extremely Severe Cyclonic Storms in the North Indian Ocean by Anthropogenic Warming and Southwest Monsoon Weakening P. Swapna et al. https://doi.org/10.1029/2021GL094650
4640. Trends in the atmospheric jet streams are emerging in observations and could be linked to tropical warming T. Woollings et al. https://doi.org/10.1038/s43247-023-00792-8
4641. Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models C. Heuzé https://doi.org/10.5194/os-17-59-2021
4642. Future intensification of ENSO impacts on the Southeast Asian hydroclimate T. Le https://doi.org/10.1080/02626667.2025.2606159
4643. Historical Changes of Black Carbon in Snow and Its Radiative Forcing in CMIP6 Models Y. Chen et al. https://doi.org/10.3390/atmos13111774
4644. A trend-preserving statistical downscaling framework and its application to China’s offshore wind field H. Wang et al. https://doi.org/10.1007/s10584-025-04056-6
4645. Future wind speed and energy potential in Togo for the period 2021-2040: Projections from CORDEX-Africa models L. Batablinlè et al. https://doi.org/10.61435/ijred.2026.61680
4646. Water isotopes – climate relationships for the mid-Holocene and preindustrial period simulated with an isotope-enabled version of MPI-ESM A. Cauquoin et al. https://doi.org/10.5194/cp-15-1913-2019
4647. Evaluating the climatic state of Indian Summer Monsoon during the mid-Pliocene period using CMIP6 model simulations K. Dahiya et al. https://doi.org/10.1016/j.dynatmoce.2024.101455
4648. Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation M. Guarino et al. https://doi.org/10.5194/gmd-13-139-2020
4649. Alkalinity responses to climate warming destabilise the Earth’s thermostat N. Lehmann et al. https://doi.org/10.1038/s41467-023-37165-w
4650. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. https://doi.org/10.5194/gmd-10-359-2017
4651. Future intensification of precipitation and wind gust associated thunderstorms over Lake Victoria J. Van de Walle et al. https://doi.org/10.1016/j.wace.2021.100391
4652. How does soil water content influence permafrost evolution on the Qinghai-Tibet Plateau under climate warming? F. Ji et al. https://doi.org/10.1088/1748-9326/ac6c9a
4653. THE ASSESSMENT OF THE IMPACT OF CLIMATE CHANGE ON TYPHOONS USING A SLAB-OCEAN COUPLED ATMOSPHERIC GLOBAL CIRCULATION MODEL WITH MONTH-FIXED EVENT ATTRIBUTION EXPERIMENTS T. OKADA et al. https://doi.org/10.2208/jscejj.23-17168
4654. Range shifts of Vigna crop wild relatives under a climate change scenario in Mozambique M. Brilhante et al. https://doi.org/10.1007/s40808-025-02493-x
4655. Filter‐feeding gelatinous macrozooplankton response to climate change and implications for benthic food supply and global carbon cycle C. Clerc et al. https://doi.org/10.1111/gcb.16942
4656. Soil resilience to degradation in Poland by 2050 under climate and land use change J. Coblinski et al. https://doi.org/10.1016/j.catena.2025.109463
4657. The effect of experiment conditioning on estimates of human influence on extreme weather D. Stone et al. https://doi.org/10.1016/j.wace.2022.100427
4658. Factors influencing the effectiveness of group interactions among international and interdisciplinary early-career researchers working toward environmental sustainability in climate change A. Enriquez et al. https://doi.org/10.1007/s10668-022-02736-2
4659. Projected Changes and Uncertainty of Cold Surges Over Northern China Using the Cmip6 Weighted Multi-Model Ensemble S. Song & X. Yan https://doi.org/10.2139/ssrn.4074639
4660. Improved atmospheric circulation over Europe by the new generation of CMIP6 earth system models J. Fernandez-Granja et al. https://doi.org/10.1007/s00382-021-05652-9
4661. The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale M. Roberts et al. https://doi.org/10.1175/BAMS-D-15-00320.1
4662. 2020/21 record-breaking cold waves in east of China enhanced by the ‘Warm Arctic-Cold Siberia’ pattern Y. Zhang et al. https://doi.org/10.1088/1748-9326/ac1f46
4663. Comment on “Advanced Testing of Low, Medium, and High ECS CMIP6 GCM Simulations Versus ERA5‐T2m” by N. Scafetta (2022) G. Schmidt et al. https://doi.org/10.1029/2022GL102530
4664. Beyond the 1.5°C planetary boundary: AI-forecast of Global Disease Burden and Health inequities H. Abdul Rahman et al. https://doi.org/10.1371/journal.pone.0354159
4665. Impact of the Asian–Pacific Oscillation on early autumn precipitation over Southeast China: CMIP6 evaluation and projection C. Xia et al. https://doi.org/10.1016/j.aosl.2023.100389
4666. Asian heat stress variations in a changing climate: Implications for disproportionate urban and rural population exposure P. Mohammad & Q. Weng https://doi.org/10.1016/j.habitatint.2025.103294
4667. Evaluation of the ALARO1-SFX (CY43T2) regional climate model over Belgium across different resolutions W. Dewettinck et al. https://doi.org/10.5194/gmd-19-7911-2026
4668. Linkage between the Asian-Pacific Oscillation and winter precipitation over southern China: CMIP6 simulation and projection Q. Fan & B. Zhou https://doi.org/10.1016/j.aosl.2023.100401
4669. Evaluation and selection of a set of CMIP6 GCMs for water resource modeling in the poorly gauged complex terrain of the Tana River basin in Kenya D. Mwendwa Wambua et al. https://doi.org/10.3178/hrl.18.87
4670. Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China S. Li et al. https://doi.org/10.3390/land14010025
4671. Streamflow projection under CMIP6 climate scenarios using a support vector regression: a case study of the Kurau River Basin of Northern Malaysia M. Nasir et al. https://doi.org/10.1007/s12665-024-11435-2
4672. Accelerated North Atlantic surface warming reshapes the Atlantic Multidecadal Variability D. Zanchettin & A. Rubino https://doi.org/10.1038/s43247-024-01804-x
4673. A Change in Climate State During a Pre‐Industrial Simulation of the CMIP6 Model HadGEM3 Driven by Deep Ocean Drift J. Ridley et al. https://doi.org/10.1029/2021GL097171
4674. Impacts of anthropogenic climate change on meteorological drought in China R. Dai et al. https://doi.org/10.3389/feart.2024.1369523
4675. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
4676. The global distribution and climate resilience of marine heterotrophic prokaryotes R. Heneghan et al. https://doi.org/10.1038/s41467-024-50635-z
4677. Improvement of Soil Moisture Simulation in Eurasia by the Beijing Climate Center Climate System Model from CMIP5 to CMIP6 Y. Sang et al. https://doi.org/10.1007/s00376-020-0167-7
4678. Integrated GIS, statistical modeling, and CMIP6-based assessment of groundwater irrigation quality in north-central Bangladesh for sustainable management M. Islam et al. https://doi.org/10.1016/j.rineng.2025.106496
4679. Causal effects of Indian Ocean Dipole on El Niño–Southern Oscillation during 1950–2014 based on high-resolution models and reanalysis data T. Le et al. https://doi.org/10.1088/1748-9326/abb96d
4680. Regime shifts of AMOC-sea surface temperature relationship Y. Fan et al. https://doi.org/10.1038/s41467-026-76149-4
4681. An Integrative Framework for Assessment of Urban Flood Response to Changing Climate L. Pal et al. https://doi.org/10.1029/2023WR034466
4682. Land-use change causes rapid carbon losses in Congo Basin peatlands across climate scenarios, whereas the effects of climate change alone are uncertain D. Young et al. https://doi.org/10.1098/rstb.2024.0486
4683. Evaluating the combined impact of climate change and urbanization patterns on flood risks S. Ali et al. https://doi.org/10.1088/2631-8695/ae1084
4684. Brief communication: A roadmap towards credible projections of ice sheet contribution to sea level A. Aschwanden et al. https://doi.org/10.5194/tc-15-5705-2021
4685. Variable temperature thresholds of melt pond formation on Antarctic ice shelves J. van Wessem et al. https://doi.org/10.1038/s41558-022-01577-1
4686. Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al. https://doi.org/10.5194/bg-17-6115-2020
4687. Three-stage response of the equatorial Pacific to CO₂ forcing controlled by shifting trade winds E. Moreno-Chamarro et al. https://doi.org/10.1038/s41612-026-01391-y
4688. Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. https://doi.org/10.1038/s43247-024-01257-2
4689. Uncertainty of the Future Changes in Interannual Precipitation Variability under Global Warming Based on Single-Model Initial-Condition Large Ensembles and CMIP6 J. Zhang & P. Huang https://doi.org/10.1007/s00376-025-4406-9
4690. Description and evaluation of the UKCA stratosphere–troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1 A. Archibald et al. https://doi.org/10.5194/gmd-13-1223-2020
4691. Comparing future projections of warm spells and their characteristics under climate change and stratospheric aerosol injection in CESM2 and UKESM1 I. Glade et al. https://doi.org/10.3389/fclim.2025.1581305
4692. Attribution and projection of February extreme rainfall events in Southeast Africa D. Lee et al. https://doi.org/10.1088/1748-9326/aea7b9
4693. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. https://doi.org/10.1029/2019MS001946
4694. Past warming trend constrains future warming in CMIP6 models K. Tokarska et al. https://doi.org/10.1126/sciadv.aaz9549
4695. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. https://doi.org/10.1038/s41612-021-00203-9
4696.  Restoration and coral adaptation delay, but do not prevent, climate-driven reef framework erosion of an inshore site in the Florida Keys A. Webb et al. https://doi.org/10.1038/s41598-022-26930-4
4697. Machine-Learning Multi-Model Integration for Future Precipitation and Water Management Implications in the Yangtze River Basin L. Yang et al. https://doi.org/10.3390/w18131536
4698. Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models X. Li et al. https://doi.org/10.1002/2017JD028161
4699. Uncertainties in evapotranspiration projections associated with estimation methods and CMIP6 GCMs for South Korea Y. Song et al. https://doi.org/10.1016/j.scitotenv.2022.153953
4700. Performance of bias corrected monthly CMIP6 climate projections with different reference period data in Turkey S. Oruc https://doi.org/10.1007/s11600-022-00731-9
4701. Climate trend analysis in the ramis catchment, upper wabi shebelle basin, Ethiopia, using the CMIP6 dataset A. Tadase https://doi.org/10.1016/j.jafrearsci.2024.105347
4702. Incorporating temperature-dependent fish bioenergetics into a Narragansett Bay food web model M. Heinichen et al. https://doi.org/10.1016/j.ecolmodel.2022.109911
4703. A Geodetic-Data-Calibrated Ice Flow Model to Simulate Historical and Future Response of Glaciers in Southeastern Tibetan Plateau L. Xiao et al. https://doi.org/10.3390/rs16030522
4704. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. https://doi.org/10.3390/w13223158
4705. Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change K. Naderi et al. https://doi.org/10.1007/s11269-022-03186-1
4706. Predicting water ecosystem services under prospective climate and land-use change scenarios in typical watersheds distributed across China C. Yu et al. https://doi.org/10.1016/j.ecolind.2024.111744
4707. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. https://doi.org/10.5194/bg-20-3301-2023
4708. Potential habitat and productivity loss of Populus deltoides industrial forest plantations due to global warming J. Sun et al. https://doi.org/10.1016/j.foreco.2021.119474
4709. Relationship between south asian summer monsoon and ENSO primarily modulated by ENSO intensity based on two super large ensembles Z. Zhou et al. https://doi.org/10.1007/s00382-024-07450-5
4710. Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. https://doi.org/10.1038/s41598-024-84527-5
4711. Machine-learning-enhanced multi-model climate ensemble for future rainfall, temperature and drought assessment in the semi-arid Papagni River Basin, India C. Naresh & A. Mathew https://doi.org/10.1016/j.pce.2026.104555
4712. The implications of overshooting 1.5 °C on Earth system tipping elements—a review P. Ritchie et al. https://doi.org/10.1088/1748-9326/ae3cad
4713. Mitigation needed to avoid unprecedented multi-decadal North Atlantic Oscillation magnitude D. Smith et al. https://doi.org/10.1038/s41558-025-02277-2
4714. CMIP6-driven high-resolution WRF downscaling over the Western Himalaya: elevation-dependent structure of mean and extreme climate K. Sharma et al. https://doi.org/10.1007/s00382-026-08265-2
4715. Drought characteristics in Mediterranean under future climate change Y. Essa et al. https://doi.org/10.1038/s41612-023-00458-4
4716. Decoupling of Arctic variability from the North Pacific in a warmer climate S. Jahfer et al. https://doi.org/10.1038/s41612-023-00480-6
4717. Application of an integrated catchment-lake model approach for simulating effects of climate change on lake inputs and biogeochemistry I. Jiménez-Navarro et al. https://doi.org/10.1016/j.scitotenv.2023.163946
4718. Land degradation neutrality model and decision support system based on land use/land cover and climate change in the TR21 Thrace Region/Türkiye B. Alturk et al. https://doi.org/10.1007/s10668-026-07458-3
4719. Modelling and validation of the spatial distribution of suitable habitats for the recruitment of invasive plants on climate change scenarios: An approach from the regeneration niche F. Guerra-Coss et al. https://doi.org/10.1016/j.scitotenv.2021.146007
4720. Assessment of future water availability and seasonal patterns of dry seasons under climate change in Cidanau Watershed Banten Province, Indonesia S. Saputra et al. https://doi.org/10.1016/j.ejrh.2025.102344
4721. Mechanisms of model bias impacting responses of the Atlantic cold tongue to greenhouse warming Y. Yang et al. https://doi.org/10.1088/1748-9326/ad2165
4722. Understanding AMOC stability: the North Atlantic Hosing Model Intercomparison Project L. Jackson et al. https://doi.org/10.5194/gmd-16-1975-2023
4723. Comparison of Indian Ocean warming simulated by CMIP5 and CMIP6 models J. LI & J. SU https://doi.org/10.1080/16742834.2020.1824546
4724. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
4725. FUTURE SEA-ICE PROJECTIONS BY USING CESM2 WITH CONFIGURATION OF THE CMIP6-OMIP2 EXPERIMENT Y. OGURA & R. NAKAMURA https://doi.org/10.2208/jscejj.24-18080
4726. Variations in Projections of Precipitations of CMIP6 Global Climate Models under SSP 2–45 and SSP 5–85 M. Shiru et al. https://doi.org/10.1007/s12205-022-0149-7
4727. Global Carbon Budget 2021 P. Friedlingstein et al. https://doi.org/10.5194/essd-14-1917-2022
4728. Climate change in pest risk assessment: Interpretation and communication of uncertainties C. Bradshaw et al. https://doi.org/10.1111/epp.12985
4729. Representation of Modes of Variability in Six U.S. Climate Models C. Orbe et al. https://doi.org/10.1175/JCLI-D-19-0956.1
4730. Projections of the timing of extreme temperature events in the future, China X. Xu et al. https://doi.org/10.1007/s00382-026-08358-y
4731. Evaluating the Eastward Propagation of the MJO in CMIP5 and CMIP6 Models Based on a Variety of Diagnostics Y. Li et al. https://doi.org/10.1175/JCLI-D-21-0378.1
4732. Dinâmica climática e biogeográfica do Brasil no Último Máximo Glacial: o estado da arte D. ARRUDA & C. SCHAEFER https://doi.org/10.1590/s0103-4014.2020.3498.012
4733. A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model G. Chen & Z. Ji https://doi.org/10.3390/su16083339
4734. Process Drivers, Inter-Model Spread, and the Path Forward: A Review of Amplified Arctic Warming P. Taylor et al. https://doi.org/10.3389/feart.2021.758361
4735. Can low-resolution CMIP6 ScenarioMIP models provide insight into future European post-tropical-cyclone risk? E. Sainsbury et al. https://doi.org/10.5194/wcd-3-1359-2022
4736. Effective radiative forcing and adjustments in CMIP6 models C. Smith et al. https://doi.org/10.5194/acp-20-9591-2020
4737. Robustness of BSISO and air-sea interactions in the CMIP (Phase-6) models over the North Indian Ocean G. Konda & N. Vissa https://doi.org/10.1016/j.dynatmoce.2022.101316
4738. Hydrological change trends of the Surkhob and Khingov river basins in the Vakhsh River of Tajikistan under climate change N. FARHOD et al. https://doi.org/10.1016/j.regsus.2026.100300
4739. Datasets and protocols for including anomalous freshwater from melting ice sheets in climate simulations G. Schmidt et al. https://doi.org/10.5194/gmd-18-8333-2025
4740. Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change L. Jackson et al. https://doi.org/10.1029/2022GL098808
4741. Perspective on measurements and modeling of Earth’s climate G. Coppa & L. Massano https://doi.org/10.1088/1361-6501/ae5c28
4742. High-Resolution Decadal Drought Predictions for German Water Boards: A Case Study for the Wupper Catchment A. Paxian et al. https://doi.org/10.3389/fclim.2022.867814
4743. Exacerbated summer European warming not captured by climate models neglecting long-term aerosol changes D. Schumacher et al. https://doi.org/10.1038/s43247-024-01332-8
4744. Dependence of tropical cyclone seeds and climate sensitivity on tropical cloud response T. Hsieh et al. https://doi.org/10.1126/sciadv.adi2779
4745. Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area S. Halder & U. Saha https://doi.org/10.1061/JSWBAY.0000954
4746. The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2 D. Swales et al. https://doi.org/10.5194/gmd-11-77-2018
4747. Apportionment of the Pre‐Industrial to Present‐Day Climate Forcing by Methane Using UKESM1: The Role of the Cloud Radiative Effect F. O’Connor et al. https://doi.org/10.1029/2022MS002991
4748. A westward shift of heatwave hotspots caused by warming-enhanced land–air coupling K. Zhang et al. https://doi.org/10.1038/s41558-025-02302-4
4749. Evaluations of the sixth phase of Coupled Model Intercomparison Project model performance on precipitation over Southeast Asia based on the moisture budget S. Liu et al. https://doi.org/10.1002/joc.7631
4750. Climate models need more frequent releases of input data — here’s how to do it V. Naik et al. https://doi.org/10.1038/d41586-025-02642-3
4751. Integrated impact assessment of climate change and hydropower operation on streamflow and inundation in the lower Mekong Basin S. Ly et al. https://doi.org/10.1186/s40645-023-00586-8
4752. Assessing the robustness and implications of econometric estimates of climate sensitivity T. Storelvmo et al. https://doi.org/10.1088/1748-9326/adabfc
4753. Impacts of ENSO and Madden–Julian oscillation on the genesis of tropical cyclones simulated by general circulation models and compared to observations J. Shin & S. Park https://doi.org/10.1088/1748-9326/ab7466
4754. METEORv1.0.1: a novel framework for emulating multi-timescale regional climate responses M. Sandstad et al. https://doi.org/10.5194/gmd-18-8269-2025
4755. Potential impact of climate change on heatwaves at the urban scale: An evaluation in Valencia, Spain A. Fernandez-Garza et al. https://doi.org/10.1016/j.uclim.2025.102681
4756. Understanding Future Increases in Precipitation Extremes in Global Land Monsoon Regions M. Chang et al. https://doi.org/10.1175/JCLI-D-21-0409.1
4757. Offshore wave and wind energy development in the Southern Hemisphere will remain optimal between 20°E and 180°E by 2100 X. Zhao et al. https://doi.org/10.1038/s43247-025-02437-4
4758. Assessment of the impacts of climat change on water supply system pipe failures X. Fan et al. https://doi.org/10.1038/s41598-023-33548-7
4759. Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm A. Sharghi et al. https://doi.org/10.1016/j.envsoft.2024.106264
4760. U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies S. Du & R. Zhang https://doi.org/10.1007/s00376-023-3179-2
4761. The future Barents Sea—A synthesis of physical, biogeochemical, and ecological changes toward 2050 and 2100 M. Årthun et al. https://doi.org/10.1525/elementa.2024.00046
4762. Space-Time Variability of Maximum Daily Rainfall in Piura River Basin in Peru Related to El Niño Occurrence M. Farias de Reyes et al. https://doi.org/10.3390/w16233452
4763. Evaluating the performance of CMIP6 models in simulating Southern Ocean biogeochemistry M. Cheng et al. https://doi.org/10.5194/bg-22-7269-2025
4764. How might climate change affect river flows across West Africa? P. Rameshwaran et al. https://doi.org/10.1007/s10584-021-03256-0
4765. Tailored Forecasts Can Predict Extreme Climate Informing Proactive Interventions in East Africa C. Funk et al. https://doi.org/10.1029/2023EF003524
4766. Understanding Models' Global Sea Surface Temperature Bias in Mean State: From CMIP5 to CMIP6 Q. Zhang et al. https://doi.org/10.1029/2022GL100888
4767. A neural network-based adaptive cut-off approach to normality testing for dependent data M. Kim et al. https://doi.org/10.1007/s11222-024-10551-0
4768. A multi-scenario ensemble approach incorporating stepwise cluster analysis to reduce uncertainty in large-scale watershed precipitation projections: a case study of Pearl River Basin, South China Z. Qi et al. https://doi.org/10.1007/s11356-024-35013-y
4769. Enhanced influence of tropical Atlantic variability on East Asian summer monsoon in warming climate S. Chen et al. https://doi.org/10.59717/j.xinn-geo.2026.100207
4770. A scalable deep learning framework for daily precipitation downscaling: architecture, accuracy, and adaptability X. Liu et al. https://doi.org/10.2166/wcc.2025.293
4771. Historical and future variation of soil organic carbon in China Z. Zhang et al. https://doi.org/10.1016/j.geoderma.2023.116557
4772. A framework for assessing uncertainties in drought projections under climate change: Insights from CMIP6 models O. Zabihi et al. https://doi.org/10.1016/j.scitotenv.2025.179679
4773. Future changes of summer monsoon rainfall and temperature over Bangladesh using 27 CMIP6 models A. Bhattacharjee et al. https://doi.org/10.1080/10106049.2023.2285342
4774. Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2‐CISM2 Coupled Climate–Ice Sheet Model A. Sommers et al. https://doi.org/10.1029/2021PA004272
4775. Summertime Rossby waves in climate models: substantial biases in surface imprint associated with small biases in upper-level circulation F. Luo et al. https://doi.org/10.5194/wcd-3-905-2022
4776. Dynamic spatiotemporal modeling of a habitat‐defining plant species to support wildlife management at regional scales A. Tredennick et al. https://doi.org/10.1002/ecs2.4534
4777. Decadal predictions of global temperatures and extremes with NUIST-CFS1.3 Y. Guo et al. https://doi.org/10.1007/s00382-026-08238-5
4778. Urbanization-Driven Water Demand Outpacing Climate-Induced Supply Gains in Xiong’an New Area: A Coupled SD-PLUS-InVEST Assessment X. Dong et al. https://doi.org/10.3390/su18125870
4779. Intermittent Behavior in the AMOC‐AMV Relationship A. Bellucci et al. https://doi.org/10.1029/2022GL098771
4780. A Novel Initialization Technique for Decadal Climate Predictions D. Volpi et al. https://doi.org/10.3389/fclim.2021.681127
4781. Role of ocean coupling in the weakening of the extratropical storm tracks from Arctic sea ice loss A. Audette & P. Kushner https://doi.org/10.1088/2752-5295/adc828
4782. Simulation of the dipole pattern of summer precipitation over the Tibetan Plateau by CMIP6 models W. Shang et al. https://doi.org/10.1088/1748-9326/abd0ac
4783. Paleoclimate proxy records suggest reduced tropical Pacific zonal asymmetry under sustained global warming E. Chung et al. https://doi.org/10.1038/s43247-025-02039-0
4784. Multifidelity uncertainty quantification for ice sheet simulations N. Aretz et al. https://doi.org/10.1007/s10596-024-10329-3
4785. Early or delayed Northern Hemisphere warming driven by the AMOC in a net-zero CO2 world Y. Lee et al. https://doi.org/10.1038/s41612-025-01165-y
4786. Framing agricultural climate risks for policy action: insights from impact chain assessments in five European regions J. Ihrfors et al. https://doi.org/10.3389/fclim.2026.1717714
4787. Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution J. Liang et al. https://doi.org/10.1007/s00382-021-06033-y
4788. Framework for global emulation of extreme precipitation along global warming trajectories L. Pierini et al. https://doi.org/10.1088/1748-9326/ae5fad
4789. How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity? Y. Liu et al. https://doi.org/10.1007/s00376-022-1381-2
4790. Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective Y. Xu et al. https://doi.org/10.1016/j.agwat.2021.106849
4791. Simulations of the North Tropical Atlantic Mode–ENSO Connection in CMIP5 and CMIP6 Models Q. Tian et al. https://doi.org/10.1029/2023JD039018
4792. Opportunities and challenges for Canada’s mariculture under climate change: a regional and sectoral outlook M. Oyinlola et al. https://doi.org/10.1139/facets-2025-0163
4793. Evaluation of two versions of the IPSL-EPOC decadal prediction systems D. Swingedouw et al. https://doi.org/10.3389/fclim.2026.1803256
4794. Carbon Storage Response to Land Use/Land Cover Changes and SSP‐RCP Scenarios Simulation: A Case Study in Yunnan Province, China J. Liu et al. https://doi.org/10.1002/ece3.70780
4795. Modeling hydrological responses and best management practices for resilient watershed management under CMIP6 climate and land use scenarios in the Gidabo watershed, Ethiopia D. Dogiso et al. https://doi.org/10.1007/s43621-026-03753-1
4796. Projected expansion of hottest climate zones over Africa during the mid and late 21st century A. Dajuma et al. https://doi.org/10.1088/2752-5295/acc08a
4797. Assessment of Relationship between Climate Change, Drought, and Land Use and Land Cover Changes in a Semi-Mountainous Area of the Vietnamese Mekong Delta T. Ty et al. https://doi.org/10.3390/land11122175
4798. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg https://doi.org/10.5194/gmd-16-6433-2023
4799. CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project B. Jia et al. https://doi.org/10.1007/s00376-021-0293-x
4800. Prediction of Future Drought Characteristics Over the Southwest Turkey Using CMIP6 Models E. Şener & A. Davraz https://doi.org/10.1007/s00024-025-03757-4
4801. The Brewer–Dobson circulation in CMIP6 M. Abalos et al. https://doi.org/10.5194/acp-21-13571-2021
4802. Changes of Water Vapor Budget over East Asia in Response to 4xCO2 Concentration Forcing Z. Shen et al. https://doi.org/10.3390/su15010313
4803. Experimental investigation on cooling performance in high radiative temperature of energy-storage radiative cooling panel F. Wang et al. https://doi.org/10.1016/j.energy.2025.137118
4804. Assessment of CMIP6 models' performance in simulating present-day climate in Brazil M. Firpo et al. https://doi.org/10.3389/fclim.2022.948499
4805. Detection and attribution of extreme precipitation changes over India S. Chaithra et al. https://doi.org/10.1088/1748-9326/ae5c23
4806. Predicting global change impact on invasive alien species’ distribution: case study for variable squirrel (Callosciurus finlaysonii) in Italy V. Paturzo et al. https://doi.org/10.1007/s10530-025-03637-x
4807. The response of mesospheric H2O and CO to solar irradiance variability in models and observations A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-21-201-2021
4808. Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. https://doi.org/10.1029/2021MS002826
4809. Seasonally distinct contributions of greenhouse gases and anthropogenic aerosols to historical changes in Arctic moisture budget H. Choi et al. https://doi.org/10.1038/s41612-023-00518-9
4810. Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. https://doi.org/10.5194/acp-20-12905-2020
4811. Future projections of summer Tibetan Plateau temperature based on the combined influence of sea surface temperature and soil moisture T. Zhang et al. https://doi.org/10.1038/s41612-026-01428-2
4812. Decadal predictions outperform climate projections in forecasting Mediterranean wintertime precipitation D. Nicolì et al. https://doi.org/10.1088/1748-9326/adb59e
4813. Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. https://doi.org/10.1029/2022GL099012
4814. Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models X. Jiang et al. https://doi.org/10.1038/s41467-023-41360-0
4815. Constraining near-term projections of the South Asian high and Afro-Asian summer monsoon rainfall D. Zhang et al. https://doi.org/10.1038/s41467-026-74510-1
4816. Assessing future offshore wind energy potential in proposed Australian offshore zones under changing climate conditions X. Costoya et al. https://doi.org/10.1016/j.egyr.2026.109758
4817. Evaluation of extreme precipitation events as simulated by CMIP6 models over Central Africa: Spatial patterns C. Komelo et al. https://doi.org/10.1007/s00704-024-05198-w
4818. CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2 B. An et al. https://doi.org/10.1007/s00376-022-2030-5
4819. Reconstruction of Forest and Grassland Cover Changes in the Hehuang Valley, Northeastern Margin of the Qinghai–Xizang Plateau, over the Past Two Millennia Y. Wang et al. https://doi.org/10.3390/land15081475
4820. Climate change impact on flood inundation along the downstream reach of the Humber River basin S. Sarchani & I. Tsanis https://doi.org/10.1016/j.ejrh.2024.101829
4821. Concurrent calculation of radiative transfer in the atmospheric simulation in ECHAM-6.3.05p2 M. Heidari et al. https://doi.org/10.5194/gmd-14-7439-2021
4822. Surface hazards in North-west Europe following sudden stratospheric warming events R. Hall et al. https://doi.org/10.1088/1748-9326/acd0c3
4823. Climate change impacts on long-term field experiments in Germany C. Donmez et al. https://doi.org/10.1016/j.agsy.2022.103578
4824. Greenhouse warming-induced changes in Indian summer monsoon-ENSO teleconnections as modulated by the North Tropical Atlantic A. Aswale et al. https://doi.org/10.1007/s00382-024-07454-1
4825. Groundwater on the brink: machine learning forecasts under CMIP6 climate trajectories in Kermanshah Plain K. Soltani et al. https://doi.org/10.1007/s13201-026-02878-y
4826. Impact of Grids and Dynamical Cores in CESM2.2 on the Surface Mass Balance of the Greenland Ice Sheet A. Herrington et al. https://doi.org/10.1029/2022MS003192
4827. Prediction of basin-scale river channel migration based on landscape evolution numerical simulation J. Wu et al. https://doi.org/10.5194/hess-30-1563-2026
4828. Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality C. Blattert et al. https://doi.org/10.1016/j.ecolind.2024.112154
4829. Attribution of the 2021 record-breaking compound drought-heatwave extreme in Central Asia to anthropogenic warming, atmospheric circulation, and NAO L. Li et al. https://doi.org/10.1016/j.jhydrol.2026.136282
4830. Uncertainty maps for model-based global climate classification systems A. Navarro et al. https://doi.org/10.1038/s41597-025-04387-0
4831. Evaluation of CMIP6 models for simulations of surplus/deficit summer monsoon conditions over India G. Konda & N. Vissa https://doi.org/10.1007/s00382-022-06367-1
4832. Integrated Assessment of Land use and Climate Change Impacts on Hydrology: A Scenario-Based SWAT Study of the Kunderu Basin, India G. Sayanth et al. https://doi.org/10.1007/s41748-026-01256-7
4833. A combined estimate of global temperature P. Craigmile & P. Guttorp https://doi.org/10.1002/env.2706
4834. Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective V. de Padua & K. Ahn https://doi.org/10.1016/j.jhydrol.2024.132102
4835. Improving large-scale river routing models with ESA long-term CCI discharge data assimilation: advancing accuracy for climate studies M. Sadki et al. https://doi.org/10.5194/hess-30-6159-2026
4836. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez https://doi.org/10.3390/cli11090186
4837. Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. https://doi.org/10.1007/s40726-025-00382-6
4838. Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models Y. Wang et al. https://doi.org/10.1002/joc.8064
4839. Untangling causality in midlatitude aerosol–cloud adjustments D. McCoy et al. https://doi.org/10.5194/acp-20-4085-2020
4840. The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6 T. Wu et al. https://doi.org/10.5194/gmd-12-1573-2019
4841. Environmental sustainability and nutritional quality: addressing global food and nutrition insecurity in a post-pandemic world Y. Cao et al. https://doi.org/10.3389/fnut.2025.1703994
4842. Diagnosing the Atlantic Meridional Overturning Circulation in density space is critical in warmer climates F. Oliveira Matos et al. https://doi.org/10.5194/os-21-2895-2025
4843. Is natural variability really natural? The case of Atlantic Multidecadal Oscillation investigated by a neural network model A. Pasini et al. https://doi.org/10.1007/s00704-022-04207-0
4844. Extreme events representation in CMCC-CM2 standard and high-resolution general circulation models E. Scoccimarro et al. https://doi.org/10.5194/gmd-15-1841-2022
4845. Multi-Model Ensemble Projection of Precipitation Changes over China under Global Warming of 1.5 and 2°C with Consideration of Model Performance and Independence T. Li et al. https://doi.org/10.1007/s13351-021-0067-5
4846. Decreased Indian Ocean Dipole variability under prolonged greenhouse warming S. Kim et al. https://doi.org/10.1038/s41467-024-47276-7
4847. Diverging responses of high-latitude CO2 and CH4 emissions in idealized climate change scenarios P. de Vrese et al. https://doi.org/10.5194/tc-15-1097-2021
4848. AR6 scenarios database: an assessment of current practices and future recommendations G. Peters et al. https://doi.org/10.1038/s44168-023-00050-9
4849. Bias-corrected NESM3 global dataset for dynamical downscaling under 1.5 °C and 2 °C global warming scenarios M. Zhang et al. https://doi.org/10.1038/s41597-024-03224-0
4850. Multi-purpose System for Modeling and Regional Climate Projections in the Arctic Macroregion (MSMRCP-A) I. Shkolnik et al. https://doi.org/10.3103/S1068373925090079
4851. Intensification of Very Wet Monsoon Seasons in India Under Global Warming A. Katzenberger et al. https://doi.org/10.1029/2022GL098856
4852. The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification D. Smith et al. https://doi.org/10.5194/gmd-12-1139-2019
4853. Integrating Field Observations, Remote Sensing and Modelling for the Assessment of Bhilangana Lake, Central Himalaya, India P. Patidar et al. https://doi.org/10.1002/hyp.70308
4854. An intensification of surface Earth’s energy imbalance since the late 20th century X. Li et al. https://doi.org/10.1038/s43247-024-01802-z
4855. Climatological comparison of continuous and reinitialized dynamical downscaling over the North Atlantic region B. Thomas et al. https://doi.org/10.1016/j.cliser.2026.100664
4856. Enhancing evapotranspiration estimates under climate change: the role of CO2 physiological feedback and CMIP6 scenarios X. Yang et al. https://doi.org/10.5194/hess-29-5645-2025
4857. Inter‐model Spread of the Changes in the East Asian Summer Monsoon System in CMIP5/6 Models S. Zhou et al. https://doi.org/10.1029/2020JD033016
4858. Evaluating surface eddy properties in coupled climate simulations with ‘eddy-present’ and ‘eddy-rich’ ocean resolution S. Moreton et al. https://doi.org/10.1016/j.ocemod.2020.101567
4859. What controls the future phytoplankton change over the Yellow and East China Seas under global warming? D. Lee et al. https://doi.org/10.3389/fmars.2023.1010341
4860. CMIP6 near-term and long-term projections of Eurasian winter cooling trend and cold extremes X. Xu et al. https://doi.org/10.1088/1748-9326/ad7307
4861. Investigating the typicality of the dynamics leading to extreme temperatures in the IPSL-CM6A-LR model R. Noyelle et al. https://doi.org/10.1007/s00382-023-06967-5
4862. Different responses of extreme and mean precipitation to land use and land cover changes M. Zhang et al. https://doi.org/10.1038/s41612-025-01049-1
4863. Assessment of the Coupled Model Intercomparison Project phase 6 (CMIP6) Model performance in simulating the spatial-temporal variation of aerosol optical depth over Eastern Central China X. Li et al. https://doi.org/10.1016/j.atmosres.2021.105747
4864. Evaluation of extreme precipitation indices over West Africa in CMIP6 models A. Faye & A. Akinsanola https://doi.org/10.1007/s00382-021-05942-2
4865. Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century M. Gidden et al. https://doi.org/10.5194/gmd-12-1443-2019
4866. Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming J. Vial et al. https://doi.org/10.1073/pnas.2209805120
4867. Climate variability introduces uncertainty into future emissions pathways J. Larson et al. https://doi.org/10.1088/1748-9326/ae8f5a
4868. Bayesian estimates for changes of the Russian river runoff in the 21st century as based on the CMIP6 model ensemble simulations А. Medvedev et al. https://doi.org/10.31857/S0002351524020021
4869. The effect of ash, water vapor, and heterogeneous chemistry on the evolution of a Pinatubo-size volcanic cloud M. Abdelkader et al. https://doi.org/10.5194/acp-23-471-2023
4870. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections G. Ferreira et al. https://doi.org/10.3390/cli11080166
4871. Divergent Regional Climate Consequences of Maintaining Current Irrigation Rates in the 21st Century B. Cook et al. https://doi.org/10.1029/2019JD031814
4872. Global warming increases risk from compound dry‐hot events to human and agricultural systems Y. Zhang et al. https://doi.org/10.1002/joc.8229
4873. Rain use efficiency gradients across Australian ecosystems Z. Liu et al. https://doi.org/10.1016/j.scitotenv.2024.173101
4874. Sea Levels Dynamical Downscaling and Climate Change Projections at the Uruguayan Coast M. Jackson et al. https://doi.org/10.3389/fmars.2022.846396
4875. The future of hot and dry events in the breadbasket regions of maize V. Dietz et al. https://doi.org/10.1088/1748-9326/adda63
4876. Shifting hotspot of tropical cyclone clusters in a warming climate Z. Fu et al. https://doi.org/10.1038/s41558-025-02397-9
4877. An evolving Coupled Model Intercomparison Project phase 7 (CMIP7) and Fast Track in support of future climate assessment J. Dunne et al. https://doi.org/10.5194/gmd-18-6671-2025
4878. Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors Y. Zhao et al. https://doi.org/10.1016/j.ejrh.2025.102492
4879. Anthropogenic Weakening of the Atmospheric Circulation During the Satellite Era S. Shrestha & B. Soden https://doi.org/10.1029/2023GL104784
4880. The 2021 heatwave was less rare in Western Canada than previously thought E. Malinina & N. Gillett https://doi.org/10.1016/j.wace.2024.100642
4881. Projected changes in African easterly wave activity due to climate change A. Akinsanola et al. https://doi.org/10.1038/s43247-024-01981-9
4882. Understanding Future Change of Global Monsoons Projected by CMIP6 Models B. Wang et al. https://doi.org/10.1175/JCLI-D-19-0993.1
4883. Regional warming from urbanization is disproportionate to urban expansion rate S. Liu et al. https://doi.org/10.1016/j.oneear.2025.101234
4884. Future changes in runoff over western and central Europe: disentangling the hydrological behavior of CMIP6 models J. Deman & J. Boé https://doi.org/10.5194/esd-16-1409-2025
4885. Habitat Suitability Assessment of Milu (Elaphurus davidianus) in Coastal Wetlands of Jiangsu Province Based on Species Distribution Models F. Sheng et al. https://doi.org/10.3390/ani16121871
4886. Evaluating adaptive planting dates and elevated CO2 impacts on soybean yields under future climate scenarios M. Singh et al. https://doi.org/10.1016/j.csag.2025.100083
4887. Drivers to recent springtime dust activity in East Asia N. Luo et al. https://doi.org/10.1016/j.gloplacha.2025.105184
4888. Climate change impact on the sea state conditions in the Mediterranean Sea under RCP and SSP emission scenarios L. Rusu https://doi.org/10.1016/j.renene.2025.122616
4889. Boreal tree species diversity increases with global warming but is reversed by extremes Y. Xi et al. https://doi.org/10.1038/s41477-024-01794-w
4890. Mechanisms of synoptic circulation patterns influencing winter/spring PM2.5 concentrations in South Korea J. Esther Kim & C. Yoo https://doi.org/10.1016/j.atmosenv.2024.121016
4891. Impact of stratospheric ozone intrusion on near-surface ozone in eastern China under Typhoon Lekima: A high-resolution CESM-MUSICA simulation analysis Y. Zhou et al. https://doi.org/10.1016/j.atmosres.2026.109232
4892. Transitions to new climates (TNCs) in the 21st century F. Giorgi & F. Raffaele https://doi.org/10.1088/1748-9326/ac71b7
4893. Assessment of Spatial–Temporal Variations of Soil Erosion in Hulunbuir Plateau from 2000 to 2050 J. Yuan et al. https://doi.org/10.3390/land12061214
4894. How virtuous are the bias corrected CMIP6 models in the simulation of heatwave over different meteorological subdivisions of India? S. Singh et al. https://doi.org/10.1016/j.uclim.2024.101936
4895. Natural sinks and sources of CO₂ and CH₄ in the atmosphere of Russian regions and their contribution to climate change in the 21st century evaluated with CMIP6 model ensemble S. Denisov et al. https://doi.org/10.31857/S0002351524020039
4896. HPAI drives a fourfold increase in adult gannet mortality which requires two decades recovery time J. Lane et al. https://doi.org/10.1016/j.biocon.2026.111887
4897. Increased high-temperature extremes and associated population exposure in Africa by the mid-21st century V. Iyakaremye et al. https://doi.org/10.1016/j.scitotenv.2021.148162
4898. A winner or a loser in climate change? Modelling the past, current, and future potential distributions of a rare charophyte species M. Brzozowski et al. https://doi.org/10.1016/j.gecco.2022.e02038
4899. Amplified surface warming in the south-west Pacific during the mid-Pliocene (3.3–3.0 Ma) and future implications G. Grant et al. https://doi.org/10.5194/cp-19-1359-2023
4900. Uncertainty in projected changes of Indian Summer Monsoon Rainfall by CMIP6 models K. Sooraj et al. https://doi.org/10.1016/j.atmosres.2025.108424
4901. The benefits of being smaller: Consistent pattern for climate-induced range shift and morphological difference of three falconiforme species A. Xu et al. https://doi.org/10.1016/j.avrs.2023.100079
4902. A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks X. Guo et al. https://doi.org/10.1002/gdj3.286
4903. Entropy theory-based performance appraisal of CMIP6 climate models in regional drought simulation over the Indus River basin: a multifactorial investigation A. Dubey et al. https://doi.org/10.1007/s11069-025-07684-4
4904. Targeting bias in algorithm optimization improves reconstructions of surface ocean pCO2 T. Heimdal et al. https://doi.org/10.1088/3049-4753/adddc3
4905. Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic D. Grosvenor & K. Carslaw https://doi.org/10.5194/acp-23-6743-2023
4906. Integrating Long Tide Gauge Records with Projection Modelling Outputs. A Case Study: New York P. Watson https://doi.org/10.3390/jmse5030034
4907. Pacific Decadal Oscillation Modulates the Relationship Between Pacific Meridional Mode and Tropical Cyclone Genesis in the Western North Pacific C. Wang et al. https://doi.org/10.1029/2022GL101710
4908. Absorbing Aerosol Choices Influences Precipitation Changes Across Future Scenarios I. McCoy et al. https://doi.org/10.1029/2022GL097717
4909. Neural general circulation models for weather and climate D. Kochkov et al. https://doi.org/10.1038/s41586-024-07744-y
4910. Evaluating climate extremes and their association with floods in the Baro Akobo River basin using CMIP6 and hydrological modelling S. Wondimu et al. https://doi.org/10.1007/s11069-025-07349-2
4911. Decadal change in deep-ocean dissolved oxygen in the North Atlantic Ocean and North Pacific Ocean H. Ruhl et al. https://doi.org/10.1016/j.dsr.2025.104534
4912. Future projections of the near-surface wind speed over eastern China based on CMIP5 datasets J. Zha et al. https://doi.org/10.1007/s00382-020-05118-4
4913. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. https://doi.org/10.1071/ES19035
4914. Projecting the evolutionary path of China’s photovoltaic potential using CMIP climate models F. Shuanglei et al. https://doi.org/10.1016/j.seta.2025.104783
4915. Influence of the Atlantic Multidecadal Oscillation on South American Atmosphere Dynamics and Precipitation J. Maksic et al. https://doi.org/10.3390/atmos13111778
4916. Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. https://doi.org/10.5194/essd-16-775-2024
4917. Change of boreal winter dominant ENSO teleconnection modulated by the East Asian westerly jet strength J. Mao & Z. Zhu https://doi.org/10.1007/s00382-024-07261-8
4918. Predicting Suitable Habitat for Glipa (Coleoptera: Mordellidae: Mordellinae) Under Current and Future Climates Using MaxEnt Modeling X. Su et al. https://doi.org/10.3390/insects16060642
4919. Dynamics and model representation of the boreal spring subseasonal variability over North America J. Hwang et al. https://doi.org/10.1007/s00382-025-07859-6
4920. Predicting the 2023/24 El Niño from a multi-scale and global perspective R. Hu et al. https://doi.org/10.1038/s43247-024-01867-w
4921. Predicting the Effects of Climate Change on Dengue Vector Densities in Southeast Asia through Process-Based Modeling L. Bonnin et al. https://doi.org/10.1289/EHP11068
4922. Assessment of the Climate Change Impact on Broiler Chickens in Northern Tunisia E. MN et al. https://doi.org/10.1590/1806-9061-2023-1846
4923. Projected changes in extreme streamflow and inland flooding in the mid-21st century over Northeastern United States using ensemble WRF-Hydro simulations S. Pal et al. https://doi.org/10.1016/j.ejrh.2023.101371
4924. Climate-carbon feedback tradeoff between Arctic and alpine permafrost under warming T. Bao et al. https://doi.org/10.1126/sciadv.adt8366
4925. A Sustainable Spatial Decision Support System (S-SDSS): A Systematic Review and Conceptual Integration of Ecological Network Optimization Frameworks T. Erbesler Ayaşlıgil https://doi.org/10.3390/land15060972
4926. Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al. https://doi.org/10.5194/gmd-18-4009-2025
4927. Mountaintop-Extinction Risk for Polylepis tarapacana: An Elevational-Ceiling and No-Escape Framework in the South-Central Andes J. Quille-Mamani et al. https://doi.org/10.3390/d18070423
4928. Future Projections of Extreme Precipitation Climate Indices over South America Based on CORDEX-CORE Multimodel Ensemble M. Reboita et al. https://doi.org/10.3390/atmos13091463
4929. Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport H. Singh et al. https://doi.org/10.1175/JCLI-D-21-0674.1
4930. On the implementation of external forcings in a regional climate model – a sensitivity study around the Samalas volcanic eruption in the Eastern Mediterranean/Middle East E. Hartmann et al. https://doi.org/10.5194/cp-21-1699-2025
4931. Spatiotemporal dynamics of historical and future drought conditions over the Arabian Peninsula from ERA5 and CMIP6 data M. Siddiqui et al. https://doi.org/10.1007/s12040-026-02890-5
4932. A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications W. Sharples et al. https://doi.org/10.5194/gmd-11-2875-2018
4933. Enhancing ENSO Prediction Skill by Combining Model‐Analog and Linear Inverse Models (MA‐LIM) J. Shin et al. https://doi.org/10.1029/2019GL085914
4934. Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective J. Xiong et al. https://doi.org/10.5194/hess-26-6457-2022
4935. Dynamically downscaled 1-km climate dataset for the Balearic Islands under present and future conditions Y. Bahuet-Bourret et al. https://doi.org/10.1038/s41597-026-07301-4
4936. Cropland Exposure to Extreme Dryness and Wetness in China Under Shared Socioeconomic Pathways R. Yang et al. https://doi.org/10.1002/joc.8715
4937. Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia D. Dogiso et al. https://doi.org/10.1038/s41598-025-02408-x
4938. Future projections for the Antarctic ice sheet until the year 2300 with a climate-index method R. Greve et al. https://doi.org/10.1017/jog.2023.41
4939. The dynamic and thermodynamic processes dominating the reduction of global land monsoon precipitation driven by anthropogenic aerosols emission T. Zhou et al. https://doi.org/10.1007/s11430-019-9613-9
4940. Habitat loss and climate change threaten the survival of endangered Dyckia (Bromeliaceae) species in the Caatinga domain A. Fagundes et al. https://doi.org/10.1007/s11258-025-01510-4
4941. Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios B. Cook et al. https://doi.org/10.1029/2019EF001461
4942. Potential Impacts on Ozone and Climate From a Proposed Fleet of Supersonic Aircraft J. Zhang et al. https://doi.org/10.1029/2022EF003409
4943. Resolving Orbital and Climate Keys of Earth and Extraterrestrial Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for Simulating the Climates of Rocky Planets M. Way et al. https://doi.org/10.3847/1538-4365/aa7a06
4944. Projected future changes in bomb cyclones by the HighResMIP-PRIMAVERA multimodel ensemble J. Gao et al. https://doi.org/10.1007/s00382-024-07327-7
4945. The role of internal variability and external forcing on the emergence of hot and dry compound extremes in the CESM2 large ensemble A. Dwyer et al. https://doi.org/10.3389/fclim.2026.1739394
4946. Evaluating Cloud Feedback Components in Observations and Their Representation in Climate Models L. Chao et al. https://doi.org/10.1029/2023JD039427
4947. Converged ensemble simulations of climate: possible trends in total solar irradiance cannot explain global warming alone G. Drótos et al. https://doi.org/10.3389/feart.2024.1240784
4948. Low-frequency variability of the Pacific Subtropical Cells as reproduced by coupled models and ocean reanalyses G. Graffino et al. https://doi.org/10.1007/s00382-021-05639-6
4949. From compound climate risks to adaptive governance: Sectoral economic exposure to heat-drought compound events in coastal China J. Chen et al. https://doi.org/10.1016/j.ocecoaman.2025.107755
4950. A time of emergence (TOE) analysis on the impact and uncertainty of global warming on Korean peak summers J. Ryu et al. https://doi.org/10.1007/s10584-024-03766-7
4951. Evaluating AMIP6 Models of the Indian Ocean–North America Teleconnection Associated with the Indian Ocean Basin Mode D. Zhang et al. https://doi.org/10.1007/s00376-026-6072-y
4952. Projected changes in heat wave characteristics over India N. C & K. Ramesh https://doi.org/10.1007/s10584-023-03618-w
4953. Northern high latitudes could become a net carbon source below 2 °C global warming R. Varney et al. https://doi.org/10.5194/esd-17-913-2026
4954. Sea Level Rise in Europe: A knowledge hub at the ocean–climate nexus N. Pinardi et al. https://doi.org/10.5194/sp-3-slre1-2-2024
4955. Development of stacking algorithm for bias-correcting the precipitation projections using a multi-model ensemble of CMIP6 GCMs in a semi-arid basin, India H. Shanmugam & V. Lakshmanan https://doi.org/10.1007/s00704-024-05321-x
4956. Projection of Climate Change and the Intensity of Exogenous Processes on the Territory of the Yamal–Nenets Autonomous District A. Kislov et al. https://doi.org/10.1134/S1028334X23600408
4957. Climatological features of future mesoscale convective systems in convection‐permitting climate models using CMIP6 and ERA5 in the central United States Y. Hwang et al. https://doi.org/10.1002/qj.4549
4958. Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis T. Tian et al. https://doi.org/10.1038/s43247-024-01276-z
4959. Diversity, distribution, and climate change impacts on tick fauna in Saudi Arabia: A comprehensive ecological niche modeling approach A. Alanazi et al. https://doi.org/10.1016/j.micpath.2025.108201
4960. Hysteresis of the El Niño–Southern Oscillation to CO 2 forcing C. Liu et al. https://doi.org/10.1126/sciadv.adh8442
4961. Assessment of future meteorological droughts in Iran B. Ghazi et al. https://doi.org/10.1038/s41598-026-65752-6
4962. Expansion of Coccidioidomycosis Endemic Regions in the United States in Response to Climate Change M. Gorris et al. https://doi.org/10.1029/2019GH000209
4963. Global risk of heat stress to cattle from climate change M. North et al. https://doi.org/10.1088/1748-9326/aceb79
4964. Evaluation of long‐term changes in precipitation over Bolivia based on observations and Coupled Model Intercomparison Project models S. Vicente‐Serrano et al. https://doi.org/10.1002/joc.7924
4965. Temperatura do ar em cenários futuros de mudanças climáticas no estado do Paraná C. Carpenedo et al. https://doi.org/10.55761/abclima.v34i20.17774
4966. Machine learning helps to strongly reduce future warming uncertainty C. Li et al. https://doi.org/10.1038/s41467-026-70205-9
4967. Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil B. Pereira et al. https://doi.org/10.1002/joc.7773
4968. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO2 Y. Qin et al. https://doi.org/10.1029/2021JD035460
4969. Impact of the Interdecadal Pacific Oscillation on tropical Indian Ocean sea surface height: An assessment from CMIP6 models V. Chinta et al. https://doi.org/10.1002/joc.8107
4970. Observed declines in leaf nitrogen explained by photosynthetic acclimation to CO 2 M. Bassiouni et al. https://doi.org/10.1073/pnas.2501958122
4971. The climate variability in global land precipitation in FGOALS-f3-L: A comparison between GMMIP and historical simulations Y. TANG et al. https://doi.org/10.1080/16742834.2020.1776088
4972. Parameterized orographic gravity wave drag and dynamical effects in CMIP6 models D. Hájková & P. Šácha https://doi.org/10.1007/s00382-023-07021-0
4973. Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. https://doi.org/10.1016/j.pce.2024.103693
4974. Accelerating increase in the duration of heatwaves under global warming C. Martinez-Villalobos et al. https://doi.org/10.1038/s41561-025-01737-w
4975. Human-induced temperature rise is driving Africa towards drought-prone climatic conditions B. Swain et al. https://doi.org/10.1038/s41598-025-34010-6
4976. Climate storylines of annual heatwave patterns in a 3 °C warmer continental USA N. Im & P. Keys https://doi.org/10.1088/1748-9326/adec03
4977. Emergent constraints on global soil moisture projections under climate change L. Yao et al. https://doi.org/10.1038/s43247-025-02024-7
4978. 气候变化下<bold>2022</bold>年长江特大骤旱的多尺度成因分析 星. 袁 et al. https://doi.org/10.1360/SSTe-2024-0007
4979. Global cropland expansion amplifies the risk of compound dry and hot events under climate change H. Tu et al. https://doi.org/10.1016/j.jhydrol.2026.135995
4980. Hydrographic features in the Tropical Indian Ocean: Insights from coupled and uncoupled CMIP6 models B. Madhu et al. https://doi.org/10.1007/s10872-026-00788-w
4981. Land/ocean absorption dynamics and airborne projection of carbon dioxide under finite fossil-fuel reserves C. Novara et al. https://doi.org/10.1016/j.ifacol.2023.10.1018
4982. Assessment of future Antarctic amplification of surface temperature change under different Scenarios from CMIP6 J. Zhu et al. https://doi.org/10.1007/s11629-022-7646-5
4983. Effect of the equatorial Atlantic cold tongue biases on the projected changes of Indochina peninsula summer rainfall in a warmer world from CMIP5/6 models G. Wang & G. Li https://doi.org/10.1007/s00382-025-07950-y
4984. General Circulation Model Downscaling Using Interpolation—Machine Learning Model Combination—Case Study: Thailand C. Prathom & P. Champrasert https://doi.org/10.3390/su15129668
4985. Comparing CMIP6 Climate Model Simulations of Annual Global Mean Temperatures to a New Combined Data Product P. Craigmile & P. Guttorp https://doi.org/10.1029/2022EA002468
4986. Potential Impacts of Climate Change on South China Sea Wind Energy Resources Under CMIP6 Future Climate Projections Y. Zhuo & B. Hong https://doi.org/10.3390/en18205370
4987. Future projections of climate-driven tropical flowering phenology S. Graves et al. https://doi.org/10.1088/2515-7620/ae6d92
4988. Global warming accelerates soil heterotrophic respiration A. Nissan et al. https://doi.org/10.1038/s41467-023-38981-w
4989. Short Warm Distribution Tails Accelerate the Increase of Humid‐Heat Extremes Under Global Warming Y. Bekris et al. https://doi.org/10.1029/2022GL102164
4990. Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models J. Bock et al. https://doi.org/10.5194/bg-18-3823-2021
4991. Ocean‐Wave‐Atmosphere Interaction Processes in a Fully Coupled Modeling System L. Wu et al. https://doi.org/10.1029/2019MS001761
4992. Bayesian retro- and prospective assessment of CMIP6 climatology in Pan Third Pole region Z. Liu et al. https://doi.org/10.1007/s00382-022-06345-7
4993. Antarctic Peninsula warming triggers enhanced basal melt rates throughout West Antarctica M. Flexas et al. https://doi.org/10.1126/sciadv.abj9134
4994. Introducing NARCliM1.5: Evaluating the Performance of Regional Climate Projections for Southeast Australia for 1950–2100 N. Nishant et al. https://doi.org/10.1029/2020EF001833
4995. CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 R. Zomer et al. https://doi.org/10.12688/openreseurope.18110.1
4996. Simulating soil C dynamics under intensive agricultural systems and climate change scenarios in the Matopiba region, Brazil R. Santos et al. https://doi.org/10.1016/j.jenvman.2023.119149
4997. A Review of Arctic Sea Ice Climate Predictability in Large-Scale Earth System Models M. Holland & E. Hunke https://doi.org/10.5670/oceanog.2022.113
4998. Comparing observed and modelled components of the Atlantic Meridional Overturning Circulation at 26° N H. Bryden et al. https://doi.org/10.5194/os-20-589-2024
4999. Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling N. Ghajarnia et al. https://doi.org/10.1029/2020WR029377
5000. Impact of Holocene environmental change on the evolutionary ecology of an Arctic top predator M. Westbury et al. https://doi.org/10.1126/sciadv.adf3326
5001. Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 H. Tatebe et al. https://doi.org/10.5194/gmd-12-2727-2019
5002. Flammulated owl distribution and habitat associations during the breeding season in the western United States R. Miller et al. https://doi.org/10.1016/j.foreco.2024.121798
5003. Can Oxygen Utilization Rate Be Used to Track the Long‐Term Changes of Aerobic Respiration in the Mesopelagic Atlantic Ocean? H. Guo et al. https://doi.org/10.1029/2022GL102645
5004. Evaluation-based projections of water transport through the Bering Strait using CMIP6 models Y. Zhang et al. https://doi.org/10.1016/j.seares.2026.102728
5005. TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI): motivations and protocol version 1.0 T. Fauchez et al. https://doi.org/10.5194/gmd-13-707-2020
5006. Potential role of autumn sea ice over the Chukchi-Beaufort Seas in the interannual variability of spring Asian-Pacific Oscillation Y. Liu et al. https://doi.org/10.1016/j.atmosres.2025.108577
5007. A Statistical Method to Model Non‐stationarity in Precipitation Records Changes P. Gonzalez et al. https://doi.org/10.1029/2023GL107201
5008. Cloud radiative effect dominates variabilities of surface energy budget in the dark Arctic C. Tao et al. https://doi.org/10.1038/s41598-025-86322-2
5009. Finding Storm Track Activity Metrics That Are Highly Correlated with Weather Impacts. Part II: Estimating Precipitation Change Associated with Projected Storm Track Change over Europe E. Chang et al. https://doi.org/10.1175/JCLI-D-21-0259.1
5010. Characteristics of flash droughts and their association with compound meteorological extremes in China: Observations and model simulations Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.170133
5011. Decadal Change of the Linkage between Sea Ice over the Barents-Kara Seas in November-December and the Stratospheric Polar Vortex in Subsequent January H. Zhou & K. Fan https://doi.org/10.1007/s13351-022-1225-0
5012. Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) J. Tjiputra et al. https://doi.org/10.5194/gmd-13-2393-2020
5013. Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs Y. Song et al. https://doi.org/10.2166/wcc.2021.115
5014. Temperature and precipitation trend analysis using the CMIP6 model in the Upper East region of Ghana G. Arfasa et al. https://doi.org/10.1080/27669645.2023.2290966
5015. Today’s 100 year droughts in Australia may become the norm by the end of the century D. Araujo et al. https://doi.org/10.1088/1748-9326/ac58ac
5016. The Leading Intermodel Spread of the Projected Changes in the Eurasian Continent Winter Surface Air Temperature and Large‐Scale Circulations From the CMIP6 Simulations A. Liu et al. https://doi.org/10.1029/2023JD038829
5017. Mathematical Modeling of Elbrus Glaciers in the 21st Century: Part 1. Glaciological Model and Setup of Numerical Experiments T. Postnikova et al. https://doi.org/10.1134/S0001433824701160
5018. European supercell thunderstorms—A prevalent current threat and an increasing future hazard M. Feldmann et al. https://doi.org/10.1126/sciadv.adx0513
5019. Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China Q. Lü et al. https://doi.org/10.1186/s40677-026-00393-5
5020. Changes in Early Summer Precipitation Characteristics Over South China and Taiwan: CESM2‐LE and CMIP6 Multi‐Model Simulations and Projections W. Huang et al. https://doi.org/10.1029/2022JD037181
5021. Assessing soil erosion and sediment transport efficiency under climate change and land-use dynamics: a multi-temporal approach in the taleghan watershed Z. Salami et al. https://doi.org/10.1007/s00704-026-06476-5
5022. The historical ozone trends simulated with the SOCOLv4 and their comparison with observations and reanalyses A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-22-15333-2022
5023. Quantifying the impact of climate change and extreme heat on rice in the United States S. Li et al. https://doi.org/10.1016/j.agrformet.2024.110145
5024. Assessment of the European Climate Projections as Simulated by the Large EURO‐CORDEX Regional and Global Climate Model Ensemble E. Coppola et al. https://doi.org/10.1029/2019JD032356
5025. Projecting rice water footprint for different shared socioeconomic pathways under arid climate conditions E. Elsadek et al. https://doi.org/10.1007/s00271-025-01019-8
5026. 黄河流域极端高温对植被固碳能力的影响研究 冠. 董 et al. https://doi.org/10.1360/SSTe-2024-0253
5027. Performance and projections of the NEX‐GDDP‐CMIP6 in simulating precipitation in the Brazilian Amazon and Cerrado biomes L. de Mendonça et al. https://doi.org/10.1002/joc.8547
5028. Increasing exposure of global croplands productivity to growing season heatwaves under climate warming Y. Chen et al. https://doi.org/10.1088/1748-9326/ad7868
5029. An interactive ocean surface albedo scheme (OSAv1.0): formulation and evaluation in ARPEGE-Climat (V6.1) and LMDZ (V5A) R. Séférian et al. https://doi.org/10.5194/gmd-11-321-2018
5030. Moderate global warming does not rule out extreme global climate outcomes E. Bevacqua et al. https://doi.org/10.1038/s41586-026-10237-9
5031. Climate Change Determines Future Population Exposure to Summertime Compound Dry and Hot Events G. Zhang et al. https://doi.org/10.1029/2022EF003015
5032. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. https://doi.org/10.5194/gmd-14-3843-2021
5033. Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework J. Donges et al. https://doi.org/10.5194/esd-11-395-2020
5034. A cost-effective climate mitigation pathway for China with co-benefits for sustainability M. Chen et al. https://doi.org/10.1038/s41467-024-53912-z
5035. ISBA-MEB (SURFEX v8.1): model snow evaluation for local-scale forest sites A. Napoly et al. https://doi.org/10.5194/gmd-13-6523-2020
5036. Mid-Pleistocene Transition as a trigger for diversification in the Irano-Anatolian region: Evidence revealed by phylogeography and distribution pattern of the eastern three-lined lizard S. Ghane-Ameleh et al. https://doi.org/10.1016/j.gecco.2021.e01839
5037. The role of an interactive Greenland ice sheet in the coupled climate-ice sheet model EC-Earth-PISM M. Madsen et al. https://doi.org/10.1007/s00382-022-06184-6
5038. Increasing concurrent exposure of global breadbaskets to reproductive heat extremes H. Zhang et al. https://doi.org/10.1088/1748-9326/ad6467
5039. Evaluation and projections of total and maximum-daily rainfall in Northwestern Argentina by CMIP6 models F. Medina et al. https://doi.org/10.1007/s00704-025-05995-x
5040. Future climate assessment in the Mediterranean region using downscaled CMIP6 data H. Daher & B. Kirtman https://doi.org/10.3389/fclim.2025.1691944
5041. Climate Classification Shifts for Future Climate Change in Portugal M. Teixeira et al. https://doi.org/10.1007/s41748-025-00826-5
5042. Spatially-explicit biophysical assessment uncovered spatiotemporal heterogeneity of global forest ecosystem services under a changing climate from 1992 to 2100 Y. Xie et al. https://doi.org/10.1016/j.ecolind.2025.114530
5043. Ponderosa pine hydraulic stress predicts more extreme wildfire behavior under future conditions in Bandelier National Monument, New Mexico Z. Robbins et al. https://doi.org/10.1186/s42408-025-00412-0
5044. Long-Term Trend Comparison of Planetary Boundary Layer Height in Observations and CMIP6 Models over China M. Yue et al. https://doi.org/10.1175/JCLI-D-20-1000.1
5045. Evaluating the Water Cycle Over CONUS at the Watershed Scale for the Energy Exascale Earth System Model Version 1 (E3SMv1) Across Resolutions B. Harrop et al. https://doi.org/10.1029/2022MS003490
5046. The continuing march of Common Green Iguanas: arrival on mainland Asia M. den Burg et al. https://doi.org/10.1016/j.jnc.2020.125888
5047. Analysis of rainfall variations and coffee production areas with climate change in Minas Gerais via future scenarios F. Carvalho Júnior et al. https://doi.org/10.1007/s00704-024-04979-7
5048. Budyko-based past and future disaggregation of climate and catchment effects on streamflow changes P. Sharma & A. Mondal https://doi.org/10.1080/02626667.2024.2349271
5049. An ENSO Prediction Model Based on Backtracking Multiple Initial Values: Ordinary Differential Equations–Memory Kernel Function Q. Ma et al. https://doi.org/10.3390/rs15153767
5050. An effort to distinguish the effects of cloud cover and aerosols on the decadal variations of surface solar radiation in the Northern Hemisphere B. Jiao et al. https://doi.org/10.1088/1748-9326/ad5371
5051. Analyzing Historical and Projected Precipitation Variability and Trends in Eastern Africa: Insights from CRU and CMIP6 Simulations A. Assamnew & G. Tsidu https://doi.org/10.1007/s41748-025-00666-3
5052. Historical and future rainfall variability and meteorological drought under climate change in Khanh Hoa Province, Vietnam P. Nguyen & T. Lap https://doi.org/10.2166/aqua.2026.148
5053. ENSO phase space dynamics in CMIP models P. Priya & D. Dommenget https://doi.org/10.1007/s00382-025-07752-2
5054. What SSP Global Climate Change Scenario is the Caspian Sea Region Following? Part 1: Air Temperature Analysis A. Bocharov et al. https://doi.org/10.2205/2025ES001075
5055. A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics T. Pugh et al. https://doi.org/10.1029/2018EF000935
5056. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. https://doi.org/10.1029/2022GL100739
5057. Application of deep learning algorithms to correct bias in CMIP6 simulations of surface air temperature over the Indian monsoon core region A. Sabarinath et al. https://doi.org/10.1002/joc.8276
5058. Satellite observations characterize the impacts of climate change and human activities on permafrost along Qinghai–Tibet Railway Z. Zhang et al. https://doi.org/10.59717/j.xinn-geo.2024.100127
5059. Divergent Representation of Precipitation Recycling in the Amazon and the Congo in CMIP6 Models J. Baker & D. Spracklen https://doi.org/10.1029/2021GL095136
5060. Advances in regional climate science in South America and Central America during the CORDEX Era M. Bettolli et al. https://doi.org/10.1371/journal.pclm.0001015
5061. Addressing the dichotomy of fishing and climate in fishery management with the FishClim model G. Beaugrand et al. https://doi.org/10.1038/s42003-022-04100-6
5062. Development and evaluation of a new 4DEnVar-based weakly coupled ocean data assimilation system in E3SMv2 P. Shi et al. https://doi.org/10.5194/gmd-18-2443-2025
5063. Projected changes in land carbon store over the 21st century: what contributions from land use change and atmospheric nitrogen deposition? J. Riano Sanchez et al. https://doi.org/10.5194/esd-15-1227-2024
5064. Increasing sensitivity of dryland water use efficiency to soil water content due to rising atmospheric CO2 R. Kong et al. https://doi.org/10.1016/j.scitotenv.2023.167087
5065. Understanding the alleviation of “Double-ITCZ” bias in CMIP6 models from the perspective of atmospheric energy balance Z. Ren & T. Zhou https://doi.org/10.1007/s00382-024-07238-7
5066. Soil moisture-induced changes in land carbon sink projections in CMIP6 L. Gabele et al. https://doi.org/10.5194/bg-23-2729-2026
5067. Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran) F. Zebarjadian et al. https://doi.org/10.1002/joc.8458
5068. Predicting snow structures relevant to reindeer husbandry E. Perkins et al. https://doi.org/10.1080/15230430.2024.2398278
5069. The ability of climate models to reproduce the weakening of the annual air temperature cycle over the central part of the Russian Plain G. Alexandrov https://doi.org/10.1088/1755-1315/1040/1/012029
5070. The role of the western North Pacific (WNP) as an El Niño–Southern Oscillation (ENSO) precursor in a warmer future climate K. Borhara et al. https://doi.org/10.1007/s00382-023-06773-z
5071. Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
5072. Climatological hazard indicators for a robust and integrated energy infrastructure in Austria P. Maier et al. https://doi.org/10.1038/s41597-025-06121-2
5073. GIS-based SCS-CN modeling of surface runoff under CMIP6 climate change scenarios and land cover dynamics in the high-Andean Ilave River Basin, Peru F. Calizaya et al. https://doi.org/10.1007/s40808-026-02864-y
5074. The Impact of Climate Change on Pavement Temperatures and Asphalt Binder Grade Selection in Estonia Based on Different Climate Change Scenarios K. Kontson et al. https://doi.org/10.7250/bjrbe.2025-20.655
5075. Climate-driven shifts in the distribution of economically and ecologically important Paulownia species in China: Implications for sustainable cultivation X. Tang et al. https://doi.org/10.1016/j.indcrop.2026.122956
5076. Climate change multi-model projections in CMIP6 scenarios in Central Hokkaido, Japan S. Peng et al. https://doi.org/10.1038/s41598-022-27357-7
5077. Projected Changes of Day-to-Day Precipitation and Choco Low-Level Jet Relationships over the Far Eastern Tropical Pacific and Western Colombia from Two CMIP6 GCM Models J. Valencia & J. Mejía https://doi.org/10.3390/atmos13111776
5078. Recent human-induced atmospheric drying across Europe unprecedented in the last 400 years K. Treydte et al. https://doi.org/10.1038/s41561-023-01335-8
5079. The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. https://doi.org/10.1029/2020MS002340
5080. Finer resolutions and targeted process representations in earth system models improve hydrologic projections and hydroclimate impacts P. Das & A. Ganguly https://doi.org/10.1038/s41612-025-01134-5
5081. Land conversions not climate effects are the dominant indirect consequence of sun-driven CO2 capture, conversion, and sequestration M. Adam et al. https://doi.org/10.1088/1748-9326/ada971
5082. Shortest path length for evaluating general circulation models for rainfall simulation B. Deepthi & B. Sivakumar https://doi.org/10.1007/s00382-023-06713-x
5083. Compensating Errors in Cloud Radiative and Physical Properties over the Southern Ocean in the CMIP6 Climate Models L. Zhao et al. https://doi.org/10.1007/s00376-022-2036-z
5084. Emergent Constraint for Future Decline in Arctic Phytoplankton Concentration K. Noh et al. https://doi.org/10.1029/2022EF003427
5085. Machine Learning-based Optimization of CMIP6 Multimodel Ensemble for Antarctic Stratospheric Ozone Projections J. Chen et al. https://doi.org/10.1007/s41748-026-01236-x
5086. Performance evaluations of CMIP6 and CMIP5 models for precipitation simulation over the Hanjiang River Basin, China D. Wang et al. https://doi.org/10.2166/wcc.2022.402
5087. On the association of Pacific Decadal Oscillation with the interdecadal variability in Asian-Pacific Oscillation P. Li et al. https://doi.org/10.1016/j.atmosres.2024.107635
5088. Climate influence on future suitability of high-altitude wetlands in two natural protected areas from the Central Andes of Argentina B. Vento et al. https://doi.org/10.1016/j.pecon.2024.04.006
5089. Observation-constrained projections reveal longer-than-expected dry spells I. Petrova et al. https://doi.org/10.1038/s41586-024-07887-y
5090. Estimating centennial-scale changes in global terrestrial near-surface wind speed based on CMIP6 GCMs C. Shen et al. https://doi.org/10.1088/1748-9326/ac1378
5091. Review of the Observed Energy Flow in the Earth System C. Liu et al. https://doi.org/10.3390/atmos13101738
5092. Projected future changes in food insecurity hotspots over the IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s12517-024-12044-w
5093. Local conditions matter: Climate change and coffee production in Brazil W. Xiao et al. https://doi.org/10.1007/s10584-025-04037-9
5094. Regional priorities in implementing forestation and wind energy as climate solutions in facing their trade-offs P. Zhang et al. https://doi.org/10.1038/s41467-026-71674-8
5095. Brief communication: CMIP6 does not suggest any atmospheric blocking increase in summer over Greenland by 2100 A. Delhasse et al. https://doi.org/10.1002/joc.6977
5096. Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models Z. Wang et al. https://doi.org/10.1038/s41612-020-00159-2
5097. Evidence that end-of-century emulation errors under overshoot remain largely within internal variability in an Earth system model S. Bouabid et al. https://doi.org/10.1088/1748-9326/ae9c58
5098. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. https://doi.org/10.1038/s41586-022-05364-y
5099. Potential current and future distribution for Aedes aegypti and Aedes albopictus in Colombia: important disease vectors E. Mejía-Jurado et al. https://doi.org/10.1007/s10530-024-03298-2
5100. The changing precipitation storm properties under future climate change H. Wang et al. https://doi.org/10.2166/nh.2023.142
5101. 2023 Kenyan floods: A climatological study and future perspectives H. Kim et al. https://doi.org/10.14770/jgsk.2024.028
5102. Diversity patterns and conservation of the Vigna spp. in Mozambique: A comprehensive study M. Brilhante et al. https://doi.org/10.3389/fevo.2022.1057785
5103. Global air-sea CO2 exchange flux since 1980s: results from CMIP6 Earth System Models B. Qu et al. https://doi.org/10.1007/s00343-021-1096-8
5104. The role of human-induced climate change in heavy rainfall events such as the one associated with Typhoon Hagibis S. Li & F. Otto https://doi.org/10.1007/s10584-022-03344-9
5105. An ensemble of AMIP simulations with prescribed land surface temperatures D. Ackerley et al. https://doi.org/10.5194/gmd-11-3865-2018
5106. Europe will struggle to meet the new WHO Air Quality Guidelines U. Im et al. https://doi.org/10.1038/s44407-025-00013-w
5107. Modeling of sea surface temperature using a modified energy balance model: a regional climate change investigative approach T. Ayua et al. https://doi.org/10.1007/s00704-026-06287-8
5108. Precipitation leads the long-term vegetation increase in the conterminous United States drylands Y. Chang et al. https://doi.org/10.1088/1748-9326/adb985
5109. Transferring climate change physical knowledge F. Immorlano et al. https://doi.org/10.1073/pnas.2413503122
5110. Perspective on the Era of Global Boiling: A Future beyond Global Warming T. Amnuaylojaroen & H. Hashiguchi https://doi.org/10.1155/2023/5580606
5111. The oceanic response to winds in the Antarctic sea ice loss at the end of the 1970s F. Feba et al. https://doi.org/10.1088/2752-5295/ae7597
5112. The climatic risk of Amazonian protected areas is driven by climate velocity until 2050 C. Torres-Amaral et al. https://doi.org/10.1371/journal.pone.0286457
5113. Volcanic stratospheric injections up to 160 Tg(S) yield a Eurasian winter warming indistinguishable from internal variability K. DallaSanta & L. Polvani https://doi.org/10.5194/acp-22-8843-2022
5114. Comparisons Between CMIP5 and CMIP6 Models: Simulations of Climate Indices Influencing Food Security, Infrastructure Resilience, and Human Health in Canada S. Bourdeau‐Goulet & E. Hassanzadeh https://doi.org/10.1029/2021EF001995
5115. Projection of Streamflow Changes Under CMIP6 Scenarios in the Urumqi River Head Watershed, Tianshan Mountain, China M. Yang et al. https://doi.org/10.3389/feart.2022.857854
5116. North Atlantic ventilation change over the past three decades is potentially driven by climate change H. Guo et al. https://doi.org/10.1038/s41467-025-67923-x
5117. Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6 S. Nowicki et al. https://doi.org/10.5194/gmd-9-4521-2016
5118. The divergence between potential and actual evapotranspiration: An insight from climate, water, and vegetation change Y. Liu et al. https://doi.org/10.1016/j.scitotenv.2021.150648
5119. Causal hybrid modeling with double machine learning—applications in carbon flux modeling K. Cohrs et al. https://doi.org/10.1088/2632-2153/ad5a60
5120. A Review of Climate Change Attribution Studies P. Zhai et al. https://doi.org/10.1007/s13351-018-8041-6
5121. Assessing NOAA/GFDL Models Performance for South American Seasonal Climate: Insights from CMIP6 Historical Runs and Future Projections M. Shimizu et al. https://doi.org/10.3390/cli13010004
5122. A Global Climate Model Performance Atlas for the Southern Hemisphere Extratropics Based on Regional Atmospheric Circulation Patterns S. Brands et al. https://doi.org/10.1029/2023GL103531
5123. Influence of multidecadal variability on high and low flows: the case of the Seine basin R. Bonnet et al. https://doi.org/10.5194/hess-24-1611-2020
5124. Human-induced intensification of terrestrial water cycle in dry regions of the globe Y. Guan et al. https://doi.org/10.1038/s41612-024-00590-9
5125. Biological reinvasion of Cochliomyia hominivorax (Diptera: Calliphoridae) in Mexico: impacts and risks under different climate change scenarios D. Moo-Llanes et al. https://doi.org/10.1093/jee/toag204
5126. A comprehensive review of recent progress on the drought-flood abrupt alternation G. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133806
5127. Uncertainty in the projected Antarctic contribution to sea level due to internal climate variability J. Caillet et al. https://doi.org/10.5194/esd-16-293-2025
5128. Climate change: causes, consequences, imperatives V. Semenov https://doi.org/10.31857/S0869587324030076
5129. Leaf area index in Earth system models: how the key variable of vegetation seasonality works in climate projections H. Park & S. Jeong https://doi.org/10.1088/1748-9326/abe2cf
5130. Short and long-term projections of Rossby wave packets and blocking events with particular attention to the northern hemisphere A. Trevisiol et al. https://doi.org/10.1016/j.gloplacha.2022.103750
5131. Comparable impacts of IPO and AMO on the decadal change of northern hemisphere tropical cyclone frequency J. Cao et al. https://doi.org/10.1007/s00382-024-07523-5
5132. Assessing future irrigation demand under climate change and bilateral water sharing in the Mahakali command area Y. Mishra et al. https://doi.org/10.1016/j.ejrh.2026.103824
5133. A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level K. Gobron et al. https://doi.org/10.1007/s10712-025-09922-7
5134. Evaluation of extreme precipitation over Asia in CMIP6 models T. Dong & W. Dong https://doi.org/10.1007/s00382-021-05773-1
5135. Added value of a priori bias correction for dynamical downscaling - A case study of Coastal British Columbia D. Hingmire et al. https://doi.org/10.1371/journal.pclm.0000717
5136. Revisiting the land use conflicts between forests and solar farms through energy efficiency P. Zhang et al. https://doi.org/10.1016/j.jclepro.2023.139958
5137. Increasing Precipitation Efficiency Amplifies Climate Sensitivity by Enhancing Tropical Circulation Slowdown and Eastern Pacific Warming Pattern R. Li et al. https://doi.org/10.1029/2022GL100836
5138. Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models P. Silva et al. https://doi.org/10.1007/s00382-024-07253-8
5139. <b>Projected Climate Trends and Hydroclimatic Extremes in the West Seti Basin, Nepal</b> S. Kumar et al. https://doi.org/10.52151/jae2026634.2040
5140. Northwestward advance of the northern boundary of the East Asian summer monsoon over the 21st century in CMIP6 projections B. Wu et al. https://doi.org/10.1002/joc.8062
5141. The hidden value of low-performers: ensemble design strategies for coupled ocean-circulation biogeochemical modelling U. Löptien & H. Dietze https://doi.org/10.1038/s41598-026-54424-0
5142. Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial P. Scussolini et al. https://doi.org/10.1126/sciadv.aax7047
5143. Effect of Climate Change on Rice Cultivation in South Korea – Runoff, Nitrogen Discharge, and Productivity Forecast Under Cmip6 Climate Scenarios Using the Apex-Paddy Model E. Danquah et al. https://doi.org/10.2139/ssrn.4022936
5144. Projection of meteorological drought in Türkiye’s Mediterranean region based on multi-model ensemble from CMIP6 V. Gumus & M. Seker https://doi.org/10.1080/02626667.2024.2364712
5145. Accounting for Pacific climate variability increases projected global warming Y. Liang et al. https://doi.org/10.1038/s41558-024-02017-y
5146. Frost damage segmentation in grapevine organs using YOLOv11s with ASPP and dynamic confidence thresholding K. Arık & E. Büyükbıçakcı https://doi.org/10.1038/s41598-026-45694-9
5147. Climate projections of meteotsunami hazards C. Denamiel et al. https://doi.org/10.3389/fmars.2023.1167863
5148. Enhanced joint impact of western hemispheric precursors increases extreme El Niño frequency under greenhouse warming H. Jo & Y. Ham https://doi.org/10.1038/s41467-023-42115-7
5149. Anthropogenic Aerosols Offsetting Ocean Warming Less Efficiently Since the 1980s T. Sohail et al. https://doi.org/10.1029/2023GL105374
5150. Attributing daily ocean temperatures to anthropogenic climate change J. Giguere et al. https://doi.org/10.1088/2752-5295/ad4815
5151. Onshore intensification of subtropical western boundary currents in a warming climate H. Yang et al. https://doi.org/10.1038/s41558-025-02258-5
5152. Future potential distribution and expansion trends of highland barley under climate change in the Qinghai-Tibet plateau (QTP) Y. Yin et al. https://doi.org/10.1016/j.ecolind.2022.108702
5153. Investigation of Fire Weather Danger under a Changing Climate at High Resolution in Greece N. Politi et al. https://doi.org/10.3390/su15032498
5154. Modeling the impacts of climate change on the current and future distribution of baobab (Adansonia digitata L.) in Sudan N. Gadallah et al. https://doi.org/10.1007/s40808-025-02574-x
5155. From least concerned to endangered? An integrated approach to determine the distribution, suitable habitat, and future of Dryophytes immaculatus A. Borzée et al. https://doi.org/10.1186/s40850-025-00248-w
5156. Detection and attribution of the summer length changes in the Northern Hemisphere W. Lin & C. Wang https://doi.org/10.1007/s00382-022-06553-1
5157. Understanding Skill of Seasonal Mean Precipitation Prediction over California during Boreal Winter and Role of Predictability Limits A. Kumar & M. Chen https://doi.org/10.1175/JCLI-D-19-0275.1
5158. Recent intensification of in-phase East Asian winter–summer monsoon coupling linked to summer ENSO evolution D. Nguyen-Le https://doi.org/10.1016/j.atmosres.2026.109033
5159. An increase in temperature under the shared socioeconomic scenarios in the Volta River Basin, West Africa: implications for economic development A. Limantol et al. https://doi.org/10.2166/wcc.2023.141
5160. Past aquifer responses to climate recorded by fossil groundwater A. Seltzer et al. https://doi.org/10.1126/sciadv.adu7812
5161. The Influence of Ocean Coupling on Simulated and Projected Tropical Cyclone Precipitation in the HighResMIP–PRIMAVERA Simulations H. Huang et al. https://doi.org/10.1029/2021GL094801
5162. Impact of Climate Change on the Spatial Dynamics of Habitats Suitable for the Genus Clusia L. in Peru D. Cieza-Tarrillo et al. https://doi.org/10.3390/f17091126
5163. The Importance of Dynamic Iron Deposition in Projecting Climate Change Impacts on Pacific Ocean Biogeochemistry E. Drenkard et al. https://doi.org/10.1029/2022GL102058
5164. Variability and trends in tropical precipitation intensity in observations and climate models G. Gu & R. Adler https://doi.org/10.1007/s00382-024-07287-y
5165. Analysis of Rainfall Projections in Historical and Future Periods Using Coupled Model Intercomparison Project (CMIP) Phase 6 in Indonesia A. Hanafi et al. https://doi.org/10.1088/1755-1315/1426/1/012015
5166. Projected changes in terrestrial water storage and associated flood potential across the Yangtze River basin J. Xiong et al. https://doi.org/10.1016/j.scitotenv.2022.152998
5167. Hot season gets hotter due to rainfall delay over tropical land in a warming climate F. Song et al. https://doi.org/10.1038/s41467-025-57501-6
5168. Estimating present temperature climate in a warming world: probabilistic verification of a model-based approach for years 2008–2025 J. Räisänen et al. https://doi.org/10.1007/s00382-026-08336-4
5169. A Heuristic Estimation of the Genesis Probability of Tropical Cyclones using Genesis Frequency and Genesis Potential Index J. Shin et al. https://doi.org/10.5467/JKESS.2019.40.6.561
5170. More accurate quantification of model-to-model agreement in externally forced climatic responses over the coming century N. Maher et al. https://doi.org/10.1038/s41467-020-20635-w
5171. Variabilities in climate sensitivities and mass balance of four High Mountain Asian glaciers K. Mukherjee et al. https://doi.org/10.1016/j.gloplacha.2025.105044
5172. Deep learning for climate downscaling: generating high-resolution gridded temperature projections over India from low-resolution CMIP6 data D. Ansari & T. Ansari https://doi.org/10.1007/s12040-026-02936-8
5173. Asymmetric effects of Indian ocean dipole on surface chlorophyll variability in the Indian ocean T. Abeywickrama et al. https://doi.org/10.1007/s10236-025-01714-2
5174. Diagnosing drivers of tropical precipitation biases in coupled climate model simulations M. Respati et al. https://doi.org/10.1007/s00382-024-07355-3
5175. Evaluating Spatial downscaling surrogate models for landscape evolution simulations in the Tarim river basin, China R. Hou et al. https://doi.org/10.1007/s00477-025-02980-8
5176. Past and future changes in avalanche problems in northern Norway estimated with machine-learning models K. Eiselt & R. Graversen https://doi.org/10.5194/tc-20-1867-2026
5177. Nile basin flow regimes under 21st century climate variability H. Elhaddad et al. https://doi.org/10.1038/s43247-025-02813-0
5178. Seasonally and Regionally Dependent Shifts of the Atmospheric Westerly Jets under Global Warming W. Zhou et al. https://doi.org/10.1175/JCLI-D-21-0723.1
5179. Projected future daily characteristics of African precipitation based on global (CMIP5, CMIP6) and regional (CORDEX, CORDEX-CORE) climate models A. Dosio et al. https://doi.org/10.1007/s00382-021-05859-w
5180. Mechanistic insights into West African monsoon precipitation biases in CMIP6 models K. Ayegbusi et al. https://doi.org/10.1088/2752-5295/ae30f5
5181. Multivariate Drought Monitoring, Propagation, and Projection Using Bias‐Corrected General Circulation Models O. Adeyeri et al. https://doi.org/10.1029/2022EF003303
5182. A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios Z. Xu et al. https://doi.org/10.3390/land13111932
5183. Impact of climate change on wintertime European atmospheric blocking S. Bacer et al. https://doi.org/10.5194/wcd-3-377-2022
5184. Future permafrost degradation under climate change in a headwater catchment of central Siberia: quantitative assessment with a mechanistic modelling approach T. Xavier et al. https://doi.org/10.5194/tc-18-5865-2024
5185. Expanding footprint of drought–wet abrupt alternation under climate change scenarios in Northern China S. Tao et al. https://doi.org/10.1007/s10113-026-02688-7
5186. Alternating Connectivity with Temporal Delays between the Pacific, Atlantic, and Indian Oceans F. Cai et al. https://doi.org/10.34133/olar.0142
5187. A downscaling method for CMIP6 precipitation based on the Bayesian ridge spatiotemporal weighted regression model J. Yu et al. https://doi.org/10.1007/s00382-026-08185-1
5188. Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations A. Abbas et al. https://doi.org/10.1002/joc.7602
5189. Expanding the European water Framework Directive indicators to address long-term climate change impacts on lakes using mechanistic lake models L. Soares et al. https://doi.org/10.1016/j.ecolind.2025.113220
5190. Attribution of historical extreme heat events in different climate zones of China Y. Zhang & Y. Sun https://doi.org/10.1088/1748-9326/adb2a8
5191. Eastward-shifting boreal summer intraseasonal oscillation amplifies North America heatwave and wildfire risks in warming climate Z. Chen et al. https://doi.org/10.1038/s41612-025-01196-5
5192. Do CMIP models capture long-term observed annual precipitation trends? S. Vicente-Serrano et al. https://doi.org/10.1007/s00382-021-06034-x
5193. Weathering Tomorrow: Climate Analogues and Adaptation Gaps in Europe A. Fouejieu et al. https://doi.org/10.5325/jdevepers.5.1-2.0081
5194. Spatially resolved emulated annual temperature projections for overshoot pathways J. Schwaab et al. https://doi.org/10.1038/s41597-024-04122-1
5195. Svalbard’s 2024 record summer: An early view of Arctic glacier meltdown? T. Schuler et al. https://doi.org/10.1073/pnas.2503806122
5196. Cryosphere Sciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Brugger et al. https://doi.org/10.1029/2021EA002111
5197. Comparison of CMIP6 and CMIP5 models in simulating climate extremes H. Chen et al. https://doi.org/10.1016/j.scib.2020.05.015
5198. Determining the cause of inconsistent onset-season trends in the Northern Hemisphere snow cover extent record A. Elias Chereque et al. https://doi.org/10.1126/sciadv.adv7926
5199. Hemispherically asymmetric Hadley cell response to CO 2 removal S. Kim et al. https://doi.org/10.1126/sciadv.adg1801
5200. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. https://doi.org/10.5194/essd-13-5213-2021
5201. Change in Climate Sensitivity and Its Dependence on the Lapse-Rate Feedback in 4 × CO2 Climate Model Experiments K. Eiselt & R. Graversen https://doi.org/10.1175/JCLI-D-21-0623.1
5202. High Resolution Global Environmental Stratification to Model Shifting Bioclimatic Conditions and Climate Change Impacts on Terrestrial Ecosystems R. Zomer et al. https://doi.org/10.12688/openreseurope.20387.1
5203. Creating granular climate zones for future-proof building design in the UK H. Xie et al. https://doi.org/10.1016/j.apenergy.2023.122549
5204. Projected distributions of Mongolian rangeland vegetation under future climate conditions K. Suzuki et al. https://doi.org/10.1093/jpe/rtae028
5205. Marine heatwave off Tokai, Japan, attributed to the Kuroshio Large Meander Path, and an associated increase in summer rainfall over Japan S. Sugimoto https://doi.org/10.1007/s10872-024-00741-9
5206. Ubiquitous increases in flood magnitude in the Columbia River basin under climate change L. Queen et al. https://doi.org/10.5194/hess-25-257-2021
5207. Causal inference for time series J. Runge et al. https://doi.org/10.1038/s43017-023-00431-y
5208. Hydro-Climatic variability in the Potohar Plateau of Indus River Basin under CMIP6 climate projections A. Khan et al. https://doi.org/10.1007/s00704-024-05274-1
5209. Diminished Impact of the East Asian Winter Monsoon on the Maritime Continent Rainfall After the Late‐1990s Tied to Weakened Siberian High–Aleutian Low Covariation Z. Dong et al. https://doi.org/10.1029/2022JD037336
5210. Geolocated fish spawning habitats K. Oremus et al. https://doi.org/10.1038/s41597-024-03348-3
5211. Evaluation of the impact of the tropical oscillations on the Indian summer monsoon in the global climate models U. Dutta et al. https://doi.org/10.1007/s00704-024-05160-w
5212. Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.1
5213. Sensitivity of winter Arctic amplification in NorESM2 L. Seland Graff et al. https://doi.org/10.5194/esd-16-1671-2025
5214. Neural general circulation models for modeling precipitation J. Yuval et al. https://doi.org/10.1126/sciadv.adv6891
5215. Regional Features of Long-Term Exposure to PM2.5 Air Quality over Asia under SSP Scenarios Based on CMIP6 Models S. Shim et al. https://doi.org/10.3390/ijerph18136817
5216. Attributing the recent weakening of the South Asian subtropical westerlies P. Upadhyaya et al. https://doi.org/10.1038/s41612-024-00777-0
5217. The American monsoon system in HadGEM3 and UKESM1 J. García-Franco et al. https://doi.org/10.5194/wcd-1-349-2020
5218. Framework for generating high-resolution Hong Kong local climate projections to support building energy simulations J. Wang et al. https://doi.org/10.1063/5.0254669
5219. Discrepancies of Upper Troposphere Summer Thermal Contrast Between Tibetan Plateau and Tropical Indian Ocean in Multiple Data X. Luo et al. https://doi.org/10.3389/fenvs.2021.655521
5220. Observed forest trait velocities have not kept pace with hydraulic stress from climate change G. Quetin et al. https://doi.org/10.1111/gcb.16847
5221. Seasonal variability of future extreme precipitation and associated trends across the Contiguous U.S. I. Dollan et al. https://doi.org/10.3389/fclim.2022.954892
5222. An integrated scenario-based approach for evaluating water yield responses to land use and climate change B. Veisi Nabikandi et al. https://doi.org/10.1016/j.indic.2025.100919
5223. Impact of climate change on backup energy and storage needs in wind-dominated power systems in Europe J. Weber et al. https://doi.org/10.1371/journal.pone.0201457
5224. Projected impacts of 1.5 and 2°C global warming on temperature and precipitation patterns in South America R. Torres et al. https://doi.org/10.1002/joc.7322
5225. Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP) B. Kravitz et al. https://doi.org/10.5194/acp-21-4231-2021
5226. Twenty‐First Century Projections and Trends of JJAS Rainfall Over the Greater Horn of Africa Under CMIP6 Shared Socioeconomic Pathways Scenarios W. Jima et al. https://doi.org/10.1002/joc.70390
5227. Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model P. Braconnot et al. https://doi.org/10.5194/cp-17-1091-2021
5228. Performance Evaluation of CMIP5 and CMIP6 Models on Heatwaves in Korea and Associated Teleconnection Patterns M. Kim et al. https://doi.org/10.1029/2020JD032583
5229. The Groundwater Management in the Mexico Megacity Peri-Urban Interface K. Ríos-Sánchez et al. https://doi.org/10.3390/su16114801
5230. Exploring the sensitivity of extreme event attribution of two recent extreme weather events in Sweden using long-running meteorological observations E. Holmgren & E. Kjellström https://doi.org/10.5194/nhess-24-2875-2024
5231. The prediction skill of Indian Ocean dipole mode in DCPP-CMIP6 decadal hindcast models B. Paul et al. https://doi.org/10.1088/2515-7620/ae59f5
5232. Reducing global air pollution: the scope for further policy interventions M. Amann et al. https://doi.org/10.1098/rsta.2019.0331
5233. Gazing into the flames: A guide to assessing the impacts of climate change on landscape fire H. Clarke et al. https://doi.org/10.1126/sciadv.adz2429
5234. Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps M. Gore et al. https://doi.org/10.1029/2022EF003211
5235. Detection, attribution, and modeling of climate change: Key open issues N. Scafetta https://doi.org/10.1016/j.gr.2025.05.001
5236. Climatic suitability assessment of pistachio (Pistacia vera L.) under current and future climate scenarios in the Mediterranean Region B. Ijaz et al. https://doi.org/10.3389/fagro.2026.1965432
5237. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. https://doi.org/10.1029/2020GL088295
5238. Impact of industrial versus biomass burning aerosols on the Atlantic Meridional Overturning Circulation R. Allen et al. https://doi.org/10.1038/s41612-024-00602-8
5239. The interaction of ice and law in Arctic marine accessibility A. Lynch et al. https://doi.org/10.1073/pnas.2202720119
5240. A historical and future view of elevation-dependent precipitation change in CMIP6 models O. Ferguglia et al. https://doi.org/10.1007/s00382-026-08292-z
5241. ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets Y. Kawakami et al. https://doi.org/10.1109/TVCG.2025.3634788
5242. Hunga Tonga–Hunga Ha′apai Volcano Impact Model Observation Comparison (HTHH-MOC) project: experiment protocol and model descriptions Y. Zhu et al. https://doi.org/10.5194/gmd-18-5487-2025
5243. Global warming amplifies wildfire health burden and reshapes inequality J. Zhao et al. https://doi.org/10.1038/s41586-025-09612-9
5244. Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines M. Verwega et al. https://doi.org/10.3389/fmars.2021.678404
5245. Sensitivity of projected Afro-Asian monsoon precipitation to solar radiation management T. Adeliyi & A. Akinsanola https://doi.org/10.1016/j.scitotenv.2026.181634
5246. Enhanced Asian warming increases Arctic amplification Y. Xie et al. https://doi.org/10.1088/1748-9326/acbdb1
5247. Sixty years of observations and future projections of nine declining North American glaciers E. Josberger et al. https://doi.org/10.1038/s41598-026-41235-6
5248. Does CMIP6 inspire more confidence in projecting precipitation over China? J. Tian et al. https://doi.org/10.1002/joc.8127
5249. Hector V3.2.0: functionality and performance of a reduced-complexity climate model K. Dorheim et al. https://doi.org/10.5194/gmd-17-4855-2024
5250. Increased global subseasonal whiplash by future BSISO behavior T. Cheng et al. https://doi.org/10.1126/sciadv.adv6355
5251. Projection of future non-stationary intensity-duration-frequency curves using the pooled CMIP6 climate models A. Mianabadi et al. https://doi.org/10.1007/s11069-024-06779-8
5252. Advective, adiabatic and diabatic contributions to heat extremes simulated with the Community Earth System Model version 2 M. Röthlisberger et al. https://doi.org/10.5194/wcd-7-1363-2026
5253. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. https://doi.org/10.1029/2020GL088063
5254. Predicting how climate change and globally invasive piscivorous fishes will interact to threaten populations of endemic fishes in a freshwater biodiversity hotspot Ö. Emiroğlu et al. https://doi.org/10.1007/s10530-023-03016-4
5255. Verification of Seasonal Forecasts of Sea Surface Temperature and Sea Ice Conditions Based on the Earth System Model Developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences Y. Resnyanskii et al. https://doi.org/10.3103/S1068373925130023
5256. Sustainable water and energy for water-stressed coastal cities under future climate scenarios Y. Huang et al. https://doi.org/10.1016/j.enconman.2026.121646
5257. Tropical Deep Convection, Cloud Feedbacks and Climate Sensitivity G. Stephens et al. https://doi.org/10.1007/s10712-024-09831-1
5258. Impact of biomass burning aerosols (BBA) on the tropical African climate in an ocean–atmosphere–aerosol coupled climate model M. Mallet et al. https://doi.org/10.5194/acp-24-12509-2024
5259. Climate data selection for multi-decadal wind power forecasts S. Morelli et al. https://doi.org/10.1088/1748-9326/adc01f
5260. Estimating Carbon Sink Strength of Norway Spruce Forests Using Machine Learning J. Zhao et al. https://doi.org/10.3390/f13101721
5261. A review of sustainable drought resilience strategies for India's diverse agroclimatic landscapes S. Sahoo et al. https://doi.org/10.2166/nh.2025.216
5262. Paddock Tree Arrangement and Pasture Photosynthetic Heat Tolerance in a Temperate Tree‐Pasture Grazing System Under Climate Change Scenarios A. Addo‐Danso et al. https://doi.org/10.1002/sae2.70093
5263. Assessment of Chinese suitable habitats of Zanthoxylum nitidum in different climatic conditions by Maxent model, HPLC, and chemometric methods Y. Yang et al. https://doi.org/10.1016/j.indcrop.2023.116515
5264. Integrative approaches for sustainable and resilient water–food systems under climate and socio-economic pressures S. Thota et al. https://doi.org/10.1007/s44274-026-00719-y
5265. Technological improvements in EV batteries offset climate-induced durability challenges H. Wu et al. https://doi.org/10.1038/s41558-026-02579-z
5266. Empirical projection of global sea level in 2050 driven by Antarctic and Greenland ice mass variations D. Lee et al. https://doi.org/10.1088/1748-9326/ad13b8
5267. Genomic Offset Reveals Siberian Larch (Larix sibirica L.) Populations Potentially Vulnerable to Future Climate S. Novikova et al. https://doi.org/10.3390/f17060696
5268. The impacts of climate change on offshore wind park projects: from changes in resource to project profitability C. Olivares-Cabello et al. https://doi.org/10.1088/1742-6596/2767/9/092085
5269. Dry‐air intrusion over India during break phases of the Indian summer monsoon in CMIP6 models R. Singh & S. Sandeep https://doi.org/10.1002/qj.4788
5270. Diverse Responses of Global‐Mean Surface Temperature to External Forcings and Internal Climate Variability in Observations and CMIP6 Models H. Rashid https://doi.org/10.1029/2021GL093194
5271. Deep learning-based chlorophyll prediction: comparison with a dynamic model and applications to fish catch forecasting J. Park et al. https://doi.org/10.5194/esd-17-795-2026
5272. Species-specific assessment of climate change vulnerability in Himalayan Pikas and identification of at-risk elevational and latitudinal zones N. Dahal et al. https://doi.org/10.1038/s41598-026-53693-z
5273. Decadal-scale variability and warming affect spring timing and forest growth across the western Great Lakes region M. McPartland https://doi.org/10.1007/s00484-023-02616-y
5274. Climate model evaluation studies in Ethiopia: a systematic review D. Olana & D. Gemeda https://doi.org/10.1007/s00704-025-05588-8
5275. Shine a light: Under-ice light and its ecological implications in a changing Arctic Ocean G. Castellani et al. https://doi.org/10.1007/s13280-021-01662-3
5276. Long-term climate warming substantially reduces global soil microbial richness P. Dang et al. https://doi.org/10.1016/j.oneear.2025.101511
5277. Summer Extreme Rainfall Over the Middle and Lower Reaches of Yangtze River: Role of Synoptic Patterns in Historical Changes and Future Projections Y. Hu et al. https://doi.org/10.1029/2023JD039608
5278. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. https://doi.org/10.3390/rs10091326
5279. Terrestrial Net Ecosystem Productivity in China during 1900–2100 J. Liu et al. https://doi.org/10.34133/ehs.0139
5280. On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms A. Archibald et al. https://doi.org/10.1098/rsta.2019.0329
5281. Hydrologic and Agricultural Earth Observations and Modeling for the Water-Food Nexus A. McNally et al. https://doi.org/10.3389/fenvs.2019.00023
5282. Assessing Tropical Cyclones’ Contribution to Precipitation over the Eastern United States and Sensitivity to the Variable-Resolution Domain Extent A. Stansfield et al. https://doi.org/10.1175/JHM-D-19-0240.1
5283. Reconciling Roles of External Forcing and Internal Variability in Indian Ocean Decadal Variability Since 1920 W. Hua et al. https://doi.org/10.1029/2021GL097198
5284. Historical model biases in monthly high temperature anomalies indicate under-estimation of future temperature extremes L. Duan et al. https://doi.org/10.1038/s43247-025-02579-5
5285. The jump in global temperatures in September 2023 is extremely unlikely due to internal climate variability alone M. Rantanen & A. Laaksonen https://doi.org/10.1038/s41612-024-00582-9
5286. Large diversity in AMOC internal variability across NEMO-based climate models A. Zhao et al. https://doi.org/10.1007/s00382-023-07069-y
5287. Climate Change Threatens Traditional Yemeni Architecture: Building Energy Simulation of Thermal Performance in Old Sana’a Tower Houses Under Mid-Century Warming Scenarios X. Li et al. https://doi.org/10.3390/buildings16050956
5288. ENSO teleconnections with the NAE sector during December in CMIP5/CMIP6 models: impacts of the atmospheric mean state D. Sabatani & S. Gualdi https://doi.org/10.1038/s41612-025-01064-2
5289. Carbon–nitrogen interactions in idealized simulations with JSBACH (version 3.10) D. Goll et al. https://doi.org/10.5194/gmd-10-2009-2017
5290. Earlier emergence of a temperature response to mitigation by filtering annual variability B. Samset et al. https://doi.org/10.1038/s41467-022-29247-y
5291. Time- and depth-resolved mechanistic assessment of water stress in Australian ecosystems under the CMIP6 scenarios M. Guglielmo et al. https://doi.org/10.1016/j.advwatres.2020.103837
5292. Impact of Internal Climate Variability on Wintertime Surface Air Temperature Trends Over Eurasia in the CESM1 Large Ensemble H. Gong et al. https://doi.org/10.1029/2021JD035340
5293. Global marine heatwave events using the new CMIP6 multi-model ensemble: from shortcomings in present climate to future projections S. Plecha & P. Soares https://doi.org/10.1088/1748-9326/abc847
5294. Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate J. Xiong et al. https://doi.org/10.5194/hess-28-1873-2024
5295. Weakened western Indian Ocean dominance on Antarctic sea ice variability in a changing climate L. Zhang et al. https://doi.org/10.1038/s41467-024-47655-0
5296. Spatial suitability assessment of restored vegetation and sustainable restoration strategies in China J. Nan et al. https://doi.org/10.1016/j.geosus.2026.100449
5297. Human heat stress could offset potential economic benefits of CO2 fertilization in crop production under a high-emissions scenario A. Orlov et al. https://doi.org/10.1016/j.oneear.2024.06.012
5298. Meteorological and hydrological droughts under historical and future climate in the Lake Tana sub-basin, Ethiopia J. Mohammed et al. https://doi.org/10.1016/j.pce.2026.104632
5299. A Process‐Oriented Diagnostic to Assess Precipitation‐Thermodynamic Relations and Application to CMIP6 Models F. Ahmed & J. Neelin https://doi.org/10.1029/2021GL094108
5300. Mechanisms and seasonal predictability of sea surface temperature in the Senegalo-Mauritanian Upwelling System A. Sylla et al. https://doi.org/10.1007/s00382-026-08121-3
5301. Extreme temperature indices in Eurasia in a CMIP6 multi‐model ensemble: Evaluation and projection Y. Zhao et al. https://doi.org/10.1002/joc.7134
5302. Multiphase processes in the EC-Earth model and their relevance to the atmospheric oxalate, sulfate, and iron cycles S. Myriokefalitakis et al. https://doi.org/10.5194/gmd-15-3079-2022
5303. Twenty-first century drought analysis across China under climate change G. Zhang et al. https://doi.org/10.1007/s00382-021-06064-5
5304. Calibrating the simulated summer precipitation trend over the southern slope of the Tibetan Plateau in CMIP6 models using a sub-selection method H. Luo et al. https://doi.org/10.1016/j.accre.2025.01.005
5305. The seas around China in a warming climate F. Wang et al. https://doi.org/10.1038/s43017-023-00453-6
5306. The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater R. Reinecke et al. https://doi.org/10.5194/gmd-19-523-2026
5307. Projected changes in pyrocumulonimbus (pyroCb) occurrence probability under future climate scenarios over temperate southeast Australia W. Ma et al. https://doi.org/10.1088/1748-9326/ae7131
5308. Climatic Warming and Humidification in the Arid Region of Northwest China: Multi-Scale Characteristics and Impacts on Ecological Vegetation Q. Zhang et al. https://doi.org/10.1007/s13351-021-0105-3
5309. Climate pacing of millennial sea-level change variability in the central and western Mediterranean M. Vacchi et al. https://doi.org/10.1038/s41467-021-24250-1
5310. A Framework for Quantifying the Robustness and Uncertainty of Drought Projections S. Zhang et al. https://doi.org/10.1002/joc.70019
5311. Observationally constrained global warming hysteresis under CO2 removal S. Song et al. https://doi.org/10.1038/s43247-026-03484-1
5312. Assessment and Prediction of Future Climate Change in the Kaidu River Basin of Xinjiang under Shared Socioeconomic Pathway Scenarios C. Cao et al. https://doi.org/10.3390/atmos15020208
5313. Probabilistic projections of future warming and climate sensitivity trajectories P. Goodwin https://doi.org/10.1093/oxfclm/kgab007
5314. Understanding hydrological regimes in the Krong No River under climate change scenarios and Boun Tua Srah hydropower operation H. Nguyen et al. https://doi.org/10.2166/nh.2025.048
5315. Assessing Climate Change and Vulnerability Across Pakistan’s Agroecological Zones using Historical Trends and CMIP6 Projections M. Mohammed Amin et al. https://doi.org/10.1007/s41748-026-01112-8
5316. Performance evaluation of CMIP6 global climate models using ERA5 over Indian Monsoon Region A. Sreekumar & P. Valayamkunnath https://doi.org/10.1007/s00382-025-07895-2
5317. Projected changes and uncertainty in cold surges over northern China using the CMIP6 weighted multi-model ensemble S. Shuaifeng & Y. Xiaodong https://doi.org/10.1016/j.atmosres.2022.106334
5318. Climate change and La Niña increase the likelihood of the ‘7·20’ extraordinary typhoon‐rainstorm in Zhengzhou, China W. Wang & X. Yuan https://doi.org/10.1002/joc.8386
5319. Simulation of modern and future climate by INM-CM6M A. Gritsun et al. https://doi.org/10.1515/rnam-2024-0028
5320. Future changes in compound explosive cyclones and atmospheric rivers in the North Atlantic F. Lopez-Marti et al. https://doi.org/10.5194/esd-16-169-2025
5321. Escalating socioeconomic exposure to extreme heat in China: A CMIP6-based analysis of future heatwaves across regions and scenarios S. Zou et al. https://doi.org/10.1016/j.geosus.2025.100374
5322. Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. https://doi.org/10.5194/acp-21-17-2021
5323. A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs) M. Meinshausen et al. https://doi.org/10.5194/gmd-17-4533-2024
5324. Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. https://doi.org/10.1016/j.rse.2023.113847
5325. Towards a sub-seasonal climate forecast service for extreme precipitation associated with cut-off lows: insights from the Valencia 2024 event N. Pérez-Zanón et al. https://doi.org/10.1088/1748-9326/ae8b06
5326. Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques S. Velivelli et al. https://doi.org/10.1007/s00704-024-05146-8
5327. Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States Z. Feng et al. https://doi.org/10.1175/JCLI-D-20-0136.1
5328. CMIP6 Evaluation and Projection of Temperature and Precipitation over China X. Yang et al. https://doi.org/10.1007/s00376-021-0351-4
5329. Future climate change reshapes agroclimatic resources and intensifies waterlogging impacts on crop production C. Wang et al. https://doi.org/10.1016/j.eja.2026.128294
5330. Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling V. Sharma et al. https://doi.org/10.5194/gmd-16-719-2023
5331. Future changes in daily snowfall events over China based on CMIP6 models H. Chen & J. Sun https://doi.org/10.1016/j.aosl.2021.100137
5332. A Machine Learning Perspective on the Climatic and Socioeconomic Determinants of Mental Health in Southeast Asia T. Amnuaylojaroen & N. Parasin https://doi.org/10.3390/world6020048
5333. Argo—Two Decades: Global Oceanography, Revolutionized G. Johnson et al. https://doi.org/10.1146/annurev-marine-022521-102008
5334. East Asian aerosol cleanup has likely contributed to the recent acceleration in global warming B. Samset et al. https://doi.org/10.1038/s43247-025-02527-3
5335. Projected changes in sea level seasonal cycle alter global coastal flood hazards Y. Qu et al. https://doi.org/10.1088/1748-9326/ae3b57
5336. Predicting the potential suitable habitats of genus Nymphaea in India using MaxEnt modeling S. Parveen et al. https://doi.org/10.1007/s10661-022-10524-8
5337. Emergent constraint on oxygenation of the upper South Eastern Pacific oxygen minimum zone in the twenty-first century I. Almendra et al. https://doi.org/10.1038/s43247-024-01427-2
5338. An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. https://doi.org/10.1175/JCLI-D-19-0928.1
5339. Benefits of future satellite gravimetry missions for characterizing extreme wet events in terrestrial water storage K. Middendorf et al. https://doi.org/10.1016/j.asr.2026.07.075
5340. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. https://doi.org/10.3390/agronomy13082185
5341. Evapotranspiration and water requirement changes of main crops under climate change conditions in a semi-arid region A. Hakami-Kermani & H. Babazadeh https://doi.org/10.1007/s13201-025-02696-8
5342. Variable 21st Century Climate Change Response for Rivers in High Mountain Asia at Seasonal to Decadal Time Scales S. Khanal et al. https://doi.org/10.1029/2020WR029266
5343. Mesoscale convective systems over the Amazon basin in a changing climate under global warming A. Rehbein & T. Ambrizzi https://doi.org/10.1007/s00382-022-06657-8
5344. Pacific Decadal Oscillation modulates the Arctic sea-ice loss influence on the midlatitude atmospheric circulation in winter A. Simon et al. https://doi.org/10.5194/wcd-3-845-2022
5345. Meteoritic materials within sulfate aerosol particles in the troposphere are detected with transmission electron microscopy K. Adachi et al. https://doi.org/10.1038/s43247-022-00469-8
5346. Decreasing Wintertime Mixed‐Layer Depth in the Northwestern North Pacific Subtropical Gyre S. Sugimoto https://doi.org/10.1029/2021GL095091
5347. UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. https://doi.org/10.1029/2019MS001739
5348. Multi-model ensemble of statistically downscaled GCMs over southeastern South America: historical evaluation and future projections of daily precipitation with focus on extremes O. ME et al. https://doi.org/10.1007/s00382-022-06236-x
5349. Predicting the potential risk of Caragana shrub encroachment in the Eurasian steppe under anthropogenic climate change Y. Tu et al. https://doi.org/10.1016/j.scitotenv.2024.173925
5350. Physical processes of summer extreme rainfall interannual variability in Eastern China—part II: evaluation of CMIP6 models N. Freychet et al. https://doi.org/10.1007/s00382-022-06137-z
5351. Radiative–convective equilibrium model intercomparison project A. Wing et al. https://doi.org/10.5194/gmd-11-793-2018
5352. Bridging idealized and operational models: an explainable AI framework for Earth system emulators P. Behnoudfar et al. https://doi.org/10.1038/s41612-026-01334-7
5353. Analysis of spatiotemporal droughts using order statistics and archetype analysis of remotely sensed relative productivity index N. Abid et al. https://doi.org/10.1016/j.ejrh.2026.103263
5354. Total ozone content, total cloud cover, and aerosol optical depth in CMIP6: simulations performance and projected changes A. Yamamoto et al. https://doi.org/10.1007/s00704-023-04821-6
5355. Post-2000 greening of Kalahari Desert and southern African grasslands reduces food and economic insecurity in Africa D. Nath et al. https://doi.org/10.1088/1748-9326/adf23a
5356. Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. https://doi.org/10.1029/2022MS003128
5357. Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin S. Try et al. https://doi.org/10.1016/j.ejrh.2022.101035
5358. Interdecadal change and projection of the relationship between spring Arctic Oscillation and summer precipitation in the Yangtze River valley in CMIP6 models W. Jia et al. https://doi.org/10.1016/j.aosl.2024.100481
5359. Population-Weighted Degree-Days over Southeast Europe—Near Past Climate Evaluation and Future Projections with NEX-GDDP CMIP6 Ensemble H. Chervenkov & K. Slavov https://doi.org/10.3390/cli13040066
5360. Alternative dynamic regimes of marine biogeochemical models in perturbed environments G. Occhipinti et al. https://doi.org/10.5194/bg-23-2003-2026
5361. Modification and Validation of the Soil–Snow Module in the INM RAS Climate Model A. Chernenkov et al. https://doi.org/10.3390/atmos15040422
5362. A deep learning–based U-Net model for ENSO-related precipitation responses to sea surface temperature anomalies over the tropical Pacific Y. Zhu & R. Zhang https://doi.org/10.1016/j.aosl.2023.100351
5363. Assessing Future Tropical Cyclone Risk Using Downscaled 1 CMIP6 Projections B. Fosu et al. https://doi.org/10.63024/dpva-2pa1
5364. Study on the impact of land-sea distribution on future building energy consumption in Chinese cities under the background of climate change T. Yang et al. https://doi.org/10.1016/j.enbuild.2025.115434
5365. A novel quintile multi-model ensemble approach for improving future extreme precipitation projections using XGBoost Y. Song et al. https://doi.org/10.1088/2632-2153/adfcb1
5366. Contribution of meridional overturning circulation and sea ice changes to large-scale temperature asymmetries in CMIP6 overshoot scenarios P. Roldán-Gómez et al. https://doi.org/10.5194/os-21-2283-2025
5367. Opposite effects of climate and land‐use/cover change on Mediterranean herpetofauna: Insights from the southern Apennines D. Biancolini et al. https://doi.org/10.1111/acv.12999
5368. UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. https://doi.org/10.5194/gmd-15-9177-2022
5369. Past, present, and future variability of Atlantic meridional overturning circulation in CMIP6 ensembles A. Coquereau et al. https://doi.org/10.5194/esd-17-209-2026
5370. Climatic and anthropogenic impacts on the water balance of Issyk-Kul Lake through its main catchments S. Uwamahoro et al. https://doi.org/10.3389/frwa.2024.1363039
5371. Anthropogenic aerosol forcing of the Atlantic meridional overturning circulation and the associated mechanisms in CMIP6 models T. Hassan et al. https://doi.org/10.5194/acp-21-5821-2021
5372. Toward Understanding the Diverse Impacts of Air‐Sea Interactions on MJO Simulations J. Fu et al. https://doi.org/10.1002/2017JC013187
5373. Contribution of Leading Natural Climate Variability Modes to Winter SAT Changes in the Arctic in the Early 20th Century D. Bokuchava et al. https://doi.org/10.3390/atmos16121391
5374. A geographically weighted regression full-track model of tropical cyclones for typhoon hazard assessment in coastal regions of China D. Zeng et al. https://doi.org/10.1016/j.jweia.2024.105660
5375. The changing nature of Earth's reflected sunlight G. Stephens et al. https://doi.org/10.1098/rspa.2022.0053
5376. Triple collocation validates CONUS-wide evapotranspiration inferred from atmospheric conditions E. McCormick et al. https://doi.org/10.5194/hess-30-2417-2026
5377. Next-generation ensemble projections reveal higher climate risks for marine ecosystems D. Tittensor et al. https://doi.org/10.1038/s41558-021-01173-9
5378. Changes in Winter Temperature Extremes From Future Arctic Sea‐Ice Loss and Ocean Warming Y. Lo et al. https://doi.org/10.1029/2022GL102542
5379. Disturbance suppresses the aboveground carbon sink in North American boreal forests J. Wang et al. https://doi.org/10.1038/s41558-021-01027-4
5380. Global fully coupled climate-aerosol CMA-CPSv4 – Part 1: Aerosol simulation performance M. Zheng et al. https://doi.org/10.5194/gmd-19-7279-2026
5381. Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. https://doi.org/10.1038/s41561-023-01357-2
5382. Amundsen Sea Ice Loss Contributes to Australian Wildfires G. Liu et al. https://doi.org/10.1021/acs.est.4c00051
5383. Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled Z. Nicholls et al. https://doi.org/10.1029/2022GL099788
5384. Improving regional precipitation simulation over South China: a comparative evaluation of NEX-GDDP-CMIP6 and CMIP6 models J. He et al. https://doi.org/10.1016/j.atmosres.2026.108822
5385. Future changes in bias-corrected CMIP6 earth system model’s air temperature and precipitation over the Indian Ocean Region P. Ghoshal et al. https://doi.org/10.1007/s00382-025-07685-w
5386. Assessment of Annual and Seasonal Surface Air Temperature Simulations in CMIP6 Models over India A. Sabarinath et al. https://doi.org/10.1007/s00024-024-03564-3
5387. Highly stratified mid-Pliocene Southern Ocean in PlioMIP2 J. Weiffenbach et al. https://doi.org/10.5194/cp-20-1067-2024
5388. The Sectional Stratospheric Sulfate Aerosol module (S3A-v1) within the LMDZ general circulation model: description and evaluation against stratospheric aerosol observations C. Kleinschmitt et al. https://doi.org/10.5194/gmd-10-3359-2017
5389. Projection of Climate Change and Consumptive Demands Projections Impacts on Hydropower Generation in the São Francisco River Basin, Brazil M. da Silva et al. https://doi.org/10.3390/w13030332
5390. Assessment of Uncertainties in Scenario Simulations of Biogeochemical Cycles in the Baltic Sea H. Meier et al. https://doi.org/10.3389/fmars.2019.00046
5391. Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle X. He et al. https://doi.org/10.1038/s41467-024-52160-5
5392. Hydrological response under CMIP6 climate projection in Astore River Basin, Pakistan Z. Ali et al. https://doi.org/10.1007/s11629-022-7872-x
5393. The Super-large Ensemble Experiments of CAS FGOALS-g3 P. Lin et al. https://doi.org/10.1007/s00376-022-1439-1
5394. Runtime bias correction of regional climate model driving data and its continental-scale impacts J. Scinocca et al. https://doi.org/10.1007/s00382-025-07814-5
5395. Biogeochemical versus biogeophysical temperature effects of historical land-use change in CMIP6 A. Amali et al. https://doi.org/10.5194/esd-16-803-2025
5396. Future change in extreme precipitation in East Asian spring and Mei-yu seasons in two high-resolution AGCMs C. Chen et al. https://doi.org/10.1016/j.wace.2022.100408
5397. Enhanced summer extreme precipitation over the Asian-African land monsoon regions during past warm periods: A modelling perspective from CESM2 X. Kong et al. https://doi.org/10.1016/j.quascirev.2023.108291
5398. Breaching 1.5 °C: Give me the odds J. Vera-Valdés & O. Kvist https://doi.org/10.1016/j.ijforecast.2026.07.004
5399. Barking up the wrong tree? Can forest expansion help meet climate goals? A. Baggio-Compagnucci et al. https://doi.org/10.1016/j.envsci.2022.05.011
5400. Digital Twins for Ocean Robots G. Forget https://doi.org/10.21105/jcon.00164
5401. Decadal variability of the Antarctic Circumpolar Current in an idealized chaotic ocean–atmosphere coupled model F. Sévellec https://doi.org/10.1016/j.physd.2025.134888
5402. Compound multi-hazard assessment under CMIP6 climate scenarios: tracking seasonal flood-landslide and drought-fire interactions across Nepal K. Shrestha et al. https://doi.org/10.1007/s11069-026-08310-7
5403. Redefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO P. Huang et al. https://doi.org/10.1038/s41612-024-00695-1
5404. Future photovoltaic potential in India: navigating the interplay between air pollution control and climate change mitigation S. Ghosh et al. https://doi.org/10.1088/1748-9326/ad8c68
5405. Assessing the past and future dynamics of the Asian summer monsoon: Insights from palaeomonsoon synthesis and CMIP6 data M. Shekhar et al. https://doi.org/10.1016/j.gecadv.2023.100004
5406. Variations in terrestrial oxygen sources under climate change L. Ding et al. https://doi.org/10.1007/s11430-021-9956-5
5407. Downscaled climate model erosivity projections and drivers of change across distinct climate regions N. Bulovic et al. https://doi.org/10.1016/j.catena.2024.108250
5408. Climate change and extreme weather: A review focusing on the continental United States W. Robinson https://doi.org/10.1080/10962247.2021.1942319
5409. Projecting temperature-related mortality impacts at urban scale under climate scenarios: A methodological review K. Liu et al. https://doi.org/10.1016/j.scs.2026.107476
5410. Increased moist heat stress risk across China under warming climate S. Sun et al. https://doi.org/10.1038/s41598-022-27162-2
5411. Climate change may drive the distribution of tribe Zyginelline pests in China and the Indo‐China Peninsula to shift towards higher latitude river‐mountain systems W. Ran et al. https://doi.org/10.1002/ps.7788
5412. Natural variability has dominated Atlantic Meridional Overturning Circulation since 1900 M. Latif et al. https://doi.org/10.1038/s41558-022-01342-4
5413. Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al. https://doi.org/10.1016/j.nhres.2025.10.003
5414. Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey S. Bağçaci et al. https://doi.org/10.1016/j.atmosres.2021.105576
5415. Global termite methane emissions have been affected by climate and land-use changes A. Ito https://doi.org/10.1038/s41598-023-44529-1
5416. Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations E. Martin-Martinez et al. https://doi.org/10.5194/esd-16-1343-2025
5417. Potential impacts of rapidly changing european use of fossil fuels on global warming C. Huntingford et al. https://doi.org/10.1088/2515-7620/acf3d7
5418. Anthropogenic influence on the occurrence of extreme drought like that in eastern China in 2019 Y. Li et al. https://doi.org/10.1016/j.aosl.2022.100296
5419. Spectrally transformed CMIP6 decadal projections improve interannual rainfall forecasts Z. Jiang et al. https://doi.org/10.1016/j.jhydrol.2025.132870
5420. Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models Z. Lu et al. https://doi.org/10.3390/atmos11090931
5421. Global assessment of aerosol radiative effects: New insights from observations, reanalysis, and climate models K. Ansari et al. https://doi.org/10.1016/j.scitotenv.2025.180871
5422. Climate change scenario in Bangladesh: historical data analysis and future projection based on CMIP6 model M. Jihan et al. https://doi.org/10.1038/s41598-024-81250-z
5423. Future changes in extreme precipitation from 1.0 °C more warming in the Tienshan Mountains, Central Asia X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128269
5424. Aridity‐Dependent Land Surface Skin Temperature Biases in CMIP5/6 W. Wu & Z. Yang https://doi.org/10.1029/2022GL098952
5425. Decadal Oscillations of the Mean Temperature of the Northern Hemisphere during Modern Global Warming N. Vakulenko et al. https://doi.org/10.1134/S0001437024700644
5426. Nonstationary modulation of the preceding spring North Pacific Victoria mode on the connection of central North America winter temperature with ENSO K. Ji et al. https://doi.org/10.1007/s00382-023-06895-4
5427. Middle Holocene Decline of River Runoff in the Volga Basin and Its Effect on the Caspian Sea Level A. Sidorchuk et al. https://doi.org/10.3390/quat9040049
5428. Business risk and the emergence of climate analytics T. Fiedler et al. https://doi.org/10.1038/s41558-020-00984-6
5429. The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle M. Willeit et al. https://doi.org/10.5194/gmd-16-3501-2023
5430. Representing water scarcity in future agricultural assessments J. Winter et al. https://doi.org/10.1016/j.ancene.2017.05.002
5431. The Climate Data for Adaptation and Vulnerability Assessments and the Spatial Interactions Downscaling Method A. de Lima Moraes & S. Khoshnood Motlagh https://doi.org/10.1038/s41597-024-03995-6
5432. Drought drives elevated antibiotic resistance across soils X. Shan et al. https://doi.org/10.1038/s41564-026-02274-x
5433. Projections for ocean currents’ transport and positioning from CMIP6 models R. Toste et al. https://doi.org/10.1007/s00382-026-08385-9
5434. Acute climate risks in the financial system: examining the utility of climate model projections A. Pitman et al. https://doi.org/10.1088/2752-5295/ac856f
5435. The Diurnal Cycle of Precipitation according to Multiple Decades of Global Satellite Observations, Three CMIP6 Models, and the ECMWF Reanalysis D. Watters et al. https://doi.org/10.1175/JCLI-D-20-0966.1
5436. A New Index to Assess the Effect of Climate Change on Karst Spring Flow Rate A. Behrouj Peely et al. https://doi.org/10.3390/su16031326
5437. Increased extreme swings of Atlantic intertropical convergence zone in a warming climate Y. Liu et al. https://doi.org/10.1038/s41558-022-01445-y
5438. Quantifying the Effects of Climate Change on Aircraft Take-Off Performance at European Airports J. Williams et al. https://doi.org/10.3390/aerospace12030165
5439. Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment: A Case Study of Shanghai Y. Qin et al. https://doi.org/10.3390/urbansci9090331
5440. Deep Climate Model Distillation for Localized Flood Forecasting in Low-Resource Areas J. Olaniyan et al. https://doi.org/10.3390/meteorology5020016
5441. Seasonal Arctic sea ice forecasting with probabilistic deep learning T. Andersson et al. https://doi.org/10.1038/s41467-021-25257-4
5442. When hot nights will not allow to relax: Projections of co-occurring extreme heat events over Central Europe under policy-relevant global warming levels A. Szabó et al. https://doi.org/10.1016/j.cliser.2026.100721
5443. Climate-resilient strategy planning using the SWOT methodology: A case study of the Japanese wind energy sector L. Bachmann et al. https://doi.org/10.1016/j.crm.2024.100665
5444. Soil carbon loss in warmed subarctic grasslands is rapid and restricted to topsoil N. Verbrigghe et al. https://doi.org/10.5194/bg-19-3381-2022
5445. TheDiaTo (v1.0) – a new diagnostic tool for water, energy and entropy budgets in climate models V. Lembo et al. https://doi.org/10.5194/gmd-12-3805-2019
5446. Uncertainty of SW Cloud Radiative Effect in Atmospheric Models Due to the Parameterization of Liquid Cloud Optical Properties E. Jahangir et al. https://doi.org/10.1029/2021MS002742
5447. Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing S. Tang et al. https://doi.org/10.1016/j.gloplacha.2025.105252
5448. Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 D. Waliser et al. https://doi.org/10.5194/gmd-13-2945-2020
5449. Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate K. Schulze et al. https://doi.org/10.1007/s11027-023-10066-5
5450. A climate data record of atmospheric moisture and sea surface temperature from satellite observations Y. Fu et al. https://doi.org/10.5194/essd-17-4651-2025
5451. A dataset of CMIP6-based climate scenarios for climate change impact assessment in Great Britain M. Semenov et al. https://doi.org/10.1016/j.dib.2024.110709
5452. Cerrado native vegetation is a refuge for birds under the current climate change trajectory J. Hidasi‐Neto et al. https://doi.org/10.1111/aec.13242
5453. Climatic Niche Divergence and Conservatism Promote Speciation in Snake-Eyed Skinks (Sauria: Scincidae): New Insight into the Evolution and Diversification of Ablepharus Species S. Vaissi et al. https://doi.org/10.1007/s11692-023-09603-6
5454. The Impacts of Climate Change on Aircraft Noise near European Airports J. Williams et al. https://doi.org/10.3390/aerospace12090815
5455. Quantifying CMIP6 models’ performance in simulating marine heatwaves over the Indian Ocean region: A comprehensive analysis of key MHW properties and future projections S. Swetha & K. Ramesh https://doi.org/10.1007/s12040-025-02532-2
5456. Sub-daily scale rainfall extremes in India and incongruity between hourly rain gauges data and CMIP6 models K. Saikranthi et al. https://doi.org/10.1038/s41612-024-00885-x
5457. Spatiotemporal analysis of ENSO-IOD teleconnections and GCM-projected hydroclimatic shifts in a western Himalayan basin C. Kant et al. https://doi.org/10.2166/wcc.2026.297
5458. Strengthened impact of boreal winter North Pacific Oscillation on ENSO development in warming climate S. Chen et al. https://doi.org/10.1038/s41612-024-00615-3
5459. Decadal extreme drought reduces alpine subsoil carbon stocks R. Zhou et al. https://doi.org/10.1073/pnas.2517468123
5460. Diagnosing Transient Response to CO2 Forcing in Coupled Atmosphere‐Ocean Model Experiments Using a Climate Model Emulator J. Tsutsui https://doi.org/10.1029/2019GL085844
5461. Antarctic Sea Ice Area in CMIP6 L. Roach et al. https://doi.org/10.1029/2019GL086729
5462. Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. https://doi.org/10.1029/2021MS002982
5463. Remote carbon cycle changes are overlooked impacts of land cover and land management changes S. Guo et al. https://doi.org/10.5194/esd-16-631-2025
5464. Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data S. Paudel et al. https://doi.org/10.3390/forecast5020022
5465. Performance evaluation of CMIP6 models for application to hydrological modelling studies – A case study of Australia R. Adhikari et al. https://doi.org/10.1016/j.scitotenv.2024.174015
5466. Ningaloo Niño/Niña in CMIP6 Models: Characteristics, Mechanisms, and Climate Impacts J. Xue et al. https://doi.org/10.1029/2022GL099781
5467. Critical classification parameters linking species to Plant Functional Type in African ecosystems E. Akhabue et al. https://doi.org/10.1038/s41597-026-06728-z
5468. Challenges in the attribution of river flood events P. Scussolini et al. https://doi.org/10.1002/wcc.874
5469. A methodology and implementation of automated emissions harmonization for use in Integrated Assessment Models M. Gidden et al. https://doi.org/10.1016/j.envsoft.2018.04.002
5470. Multi-criteria hybrid-based bias correction selection, and machine learning ensemble modeling to improve extreme climate event projections in the Tendaho Catchment, Ethiopia A. Guyasa et al. https://doi.org/10.1007/s00704-025-05908-y
5471. Geochemistry of major and trace elements in sediments from the Lubei Plain, China: Constraints for paleoclimate, paleosalinity, and paleoredox environment C. Zou et al. https://doi.org/10.1016/j.jaesx.2021.100071
5472. Probabilistic life-cycle assessment of landslides exposed to both rainfall under nonstationary climate change effects and earthquakes Z. He et al. https://doi.org/10.1016/j.strusafe.2025.102599
5473. Projected response of global runoff to El Niño-Southern oscillation T. Le et al. https://doi.org/10.1088/1748-9326/ac13ed
5474. Dynamic vegetation highlights first-order climate feedbacks and their dependence on the climate mean state P. Braconnot et al. https://doi.org/10.5194/esd-16-2113-2025
5475. Impact of rising temperatures on the biomass of humid old-growth forests of the world M. Larjavaara et al. https://doi.org/10.1186/s13021-021-00194-3
5476. Projected changes in annual maximum discharge for Iowa communities A. Michalek et al. https://doi.org/10.1016/j.jhydrol.2023.129957
5477. Projecting precipitation extremes over Cyprus using CMIP6 climate scenarios N. Gödek Hayal et al. https://doi.org/10.1007/s11069-026-08119-4
5478. Investigating climate change impacts from hydroclimatic trends and land cover change in Afghanistan’s Helmand River Basin N. Akhundzadah https://doi.org/10.1007/s00704-025-05914-0
5479. District-scale prediction and near-term projection of pre-monsoon rainfall over Andhra Pradesh, India using CMIP6 climate models and machine learning G. Mounika et al. https://doi.org/10.1007/s11600-026-02010-3
5480. Historical and future shifts of a sharp zonal aridity gradient: A case study of the Hu Line in China F. Ruan et al. https://doi.org/10.1016/j.jhydrol.2022.128590
5481. Surface Solar Radiation: Observation, Data, and Long-Term Variations B. Jiao et al. https://doi.org/10.1007/s13351-025-4902-y
5482. Optimising water allocation with hybrid machine learning–water evaluation and planning under climate and population pressure in Upper Awash–Akaki, Ethiopia D. Hirko et al. https://doi.org/10.2166/hydro.2026.098
5483. Two Approaches of the Spring North Atlantic Sea Surface Temperature Affecting the Following July Precipitation over Central China: The Tropical and Extratropical Pathways L. Chen et al. https://doi.org/10.1175/JCLI-D-21-1012.1
5484. High-resolution downscaled CMIP6 drought projections for Australia R. Eccles et al. https://doi.org/10.5194/hess-29-4689-2025
5485. Reduction in Near‐Surface Wind Speeds With Increasing CO2 May Worsen Winter Air Quality in the Indo‐Gangetic Plain F. Paulot et al. https://doi.org/10.1029/2022GL099039
5486. Limited reversal of regional climate signals in overshoot scenarios P. Pfleiderer et al. https://doi.org/10.1088/2752-5295/ad1c45
5487. Modulation of regional carbon uptake by AMOC and alkalinity changes in the subpolar North Atlantic under a warming climate Q. Zhang et al. https://doi.org/10.3389/fmars.2024.1304193
5488. Selecting CMIP6 Models for Future Arctic Storylines Using a Novel Performance Score L. Graff et al. https://doi.org/10.16993/tellusa.4111
5489. Tropical cyclone rainfall extends inland E. Deng et al. https://doi.org/10.1038/s41467-026-70647-1
5490. Direct observation of Earth’s spectral long-wave feedback parameter F. Roemer et al. https://doi.org/10.1038/s41561-023-01175-6
5491. Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. https://doi.org/10.1029/2020MS002456
5492. Projecting the Changes in Multifaceted Characteristics of Heatwave Events Across China J. Wei et al. https://doi.org/10.1029/2022EF003387
5493. MaxEnt Modeling Based on CMIP6 Models to Project Potential Suitable Zones for Cunninghamia lanceolata in China Y. Zhou et al. https://doi.org/10.3390/f12060752
5494. Limits to management adaptation for the Indus’ irrigated agriculture B. Droppers et al. https://doi.org/10.1016/j.agrformet.2022.108971
5495. Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP) O. Gutjahr et al. https://doi.org/10.5194/gmd-12-3241-2019
5496. Relationship between shortwave radiation bias over the Southern Ocean and the double‐intertropical convergence zone problem in MRI‐ESM2 H. Kawai et al. https://doi.org/10.1002/asl.1064
5497. Controlling factors of wildfires in Australia and their changes under global warming H. Bui et al. https://doi.org/10.1088/1748-9326/ad69a9
5498. Going back for the future: Incorporating Pleistocene fossil records of saiga antelope into habitat suitability models M. Mills et al. https://doi.org/10.1111/jbi.14831
5499. Central Asian Future Dynamics of Coldwave and Cold Spell Under Changing Climate D. Ledari et al. https://doi.org/10.1002/joc.70585
5500. Limited increases in Arctic offshore oil and gas production with climate change and the implications for energy markets Y. Zhang et al. https://doi.org/10.1038/s41598-024-54007-x
5501. Projected intensification of drought in the Kızılırmak Basin, Türkiye, under CMIP6 climate scenarios: comparative evaluation of multi-model and multi-index approaches V. Kartal et al. https://doi.org/10.1007/s00703-025-01097-5
5502. Climate Change Projections for Stroke Incidence in Taiwan: Impact of 2 °C and 4 °C Global Warming Level W. Wu et al. https://doi.org/10.1007/s44197-024-00289-3
5503. Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations D. Sidorenko et al. https://doi.org/10.1029/2019MS001696
5504. Real-time predictions of the 2023–2024 climate conditions in the tropical Pacific using a purely data-driven Transformer model R. Zhang et al. https://doi.org/10.1007/s11430-024-1396-x
5505. Climate change may reduce suitable habitat for freshwater fish in a tropical watershed L. Peluso et al. https://doi.org/10.1007/s10584-023-03526-z
5506. Impact of Atlantic multidecadal variability on rainfall intensity distribution and timing of the West African monsoon E. Mohino et al. https://doi.org/10.5194/esd-15-15-2024
5507. Comparison of Future Changes in Frequency of Climate Extremes between Coastal and Inland Locations of Bengal Delta Based on CMIP6 Climate Models S. Das et al. https://doi.org/10.3390/atmos13111747
5508. Future Climate Change Impacts on Extreme Precipitation: Exposure Risks for Urban Populations and Cropland in North China C. Yu et al. https://doi.org/10.1002/joc.8902
5509. Extreme coastal El Niño events are tightly linked to the development of the Pacific Meridional Modes C. Martinez-Villalobos et al. https://doi.org/10.1038/s41612-024-00675-5
5510. A Flexible Snow Model (FSM 2.1.1) including a forest canopy R. Essery et al. https://doi.org/10.5194/gmd-18-3583-2025
5511. Evaluation of spatiotemporal variation and driving forces of baseflow coupled with CMIP6 and LUCC in the source region of the Yangtze River, China H. Ren et al. https://doi.org/10.2166/wcc.2025.690
5512. Opportunities and challenges in using remaining carbon budgets to guide climate policy H. Matthews et al. https://doi.org/10.1038/s41561-020-00663-3
5513. Clear-sky control of anvils in response to increased CO2 or surface warming or volcanic eruptions M. Saint-Lu et al. https://doi.org/10.1038/s41612-022-00304-z
5514. Global Environmental Change Perspectives on Integrated, Coordinated, Open, and Networked (ICON) Science G. Koren et al. https://doi.org/10.1029/2022EA002231
5515. Spatiotemporal Evolution of Glacier Mass Balance and Runoff Response in a High Mountain Basin Under Climate Change C. Zhang et al. https://doi.org/10.3390/atmos17020178
5516. Validation of Australian atmospheric aerosols from reanalysis data and CMIP6 simulations A. Isaza et al. https://doi.org/10.1016/j.atmosres.2021.105856
5517. Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China X. Hu et al. https://doi.org/10.1016/j.flora.2025.152677
5518. Reduced Asian monsoon influence on Mediterranean summers in a warmer climate H. Yu et al. https://doi.org/10.1038/s41561-026-02091-1
5519. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. https://doi.org/10.5194/esd-15-1319-2024
5520. Tropospheric ozone in CMIP6 simulations P. Griffiths et al. https://doi.org/10.5194/acp-21-4187-2021
5521. CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests T. Ekholm et al. https://doi.org/10.5194/gmd-17-3041-2024
5522. Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management P. Burek et al. https://doi.org/10.5194/gmd-13-3267-2020
5523. Understanding human influence on climate change in China Y. Sun et al. https://doi.org/10.1093/nsr/nwab113
5524. Modelled surface climate response to effusive Icelandic volcanic eruptions: sensitivity to season and size T. Zoëga et al. https://doi.org/10.5194/acp-25-2989-2025
5525. Organising a collaborative online hackathon for cutting‐edge climate research J. Thomas et al. https://doi.org/10.1002/wea.4199
5526. Drought monitoring of sugarcane and dynamic variation characteristics under global warming: A case study of Guangxi, China S. Guga et al. https://doi.org/10.1016/j.agwat.2022.108035
5527. Evaluation of the performance of CMIP6 models in simulating precipitation over Morocco H. Ayt Ougougdal et al. https://doi.org/10.1007/s42990-024-00121-x
5528. Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming R. McDonald et al. https://doi.org/10.1038/s41467-026-71825-x
5529. Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden https://doi.org/10.1103/RevModPhys.93.045002
5530. Performance of regional climate model RegCM4 with a hydrostatic or non‐hydrostatic dynamic core at simulating precipitation extremes in China P. Qin et al. https://doi.org/10.1002/joc.8257
5531. Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation Z. Khan et al. https://doi.org/10.3389/fenvs.2022.918085
5532. Reduction of uncertainty in near-term climate forecast by combining observations and decadal predictions R. Bonnet et al. https://doi.org/10.5194/esd-17-1299-2026
5533. Unevenly distributed CO2 and its impacts on terrestrial carbon uptake under the changing land uses S. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.166805
5534. Long-Term Impacts of Partial Afforestation on Water and Salt Dynamics of an Intermittent Catchment under Climate Change H. Daneshmand et al. https://doi.org/10.3390/w12041067
5535. Modeling climate change effects on water balance, streamflow generation, and permafrost dynamics in the Nelson Churchill River Basin: a HYPE model approach A. Bajracharya et al. https://doi.org/10.1080/07011784.2025.2509226
5536. The role of climate and population change in global flood exposure and vulnerability J. Rogers et al. https://doi.org/10.1038/s41467-025-56654-8
5537. Asymmetry in carbon cycle feedbacks and transient climate response under positive and negative CO2 emissions V. Chimuka & K. Zickfeld https://doi.org/10.5194/bg-23-6211-2026
5538. Trends in Temperature, Precipitation, Potential Evapotranspiration, and Water Availability across the Teesta River Basin under 1.5 and 2 °C Temperature Rise Scenarios of CMIP6 S. Das et al. https://doi.org/10.3390/atmos13060941
5539. Bias-Aware Screening of Projected Annual Sea-Level-Cycle Amplification Relative to Tidal Range Along East Asian Coastal and Shelf-Sea Margins Y. Kuo et al. https://doi.org/10.1007/s12601-026-00305-6
5540. Spatiotemporal changes in rainfall and droughts of Bangladesh for1.5 and 2 °C temperature rise scenarios of CMIP6 models A. Kamal et al. https://doi.org/10.1007/s00704-021-03735-5
5541. Impacts of 1.5°C and 2.0°C Global Warming on the Onset, Cessation, and Length of the Rainy Season in Global Land Monsoon Regions T. Taguela et al. https://doi.org/10.1007/s00376-025-4386-9
5542. Modelling and geospatial mapping of whitefly Bemisia tabaci population dynamics in cassava-growing areas of Sub-Saharan Africa in response to climate change F. Ndjomatchoua & C. Gilligan https://doi.org/10.1016/j.agrformet.2026.111059
5543. Classification of extreme heatwave events in the Northern Hemisphere through a new method Y. Wang & C. Wang https://doi.org/10.1007/s00382-022-06649-8
5544. WACCM6 Projections of Polar Mesospheric Cloud Abundance Over the 21st Century W. Yu et al. https://doi.org/10.1029/2023JD038985
5545. AerChemMIP2 – unraveling the role of reactive gases, aerosol particles, and land use for air quality and climate change in CMIP7 S. Fiedler et al. https://doi.org/10.5194/gmd-19-3477-2026
5546. Climate change will limit the potential for intensification in Senegal A. Mbengue et al. https://doi.org/10.1088/2515-7620/ae59f4
5547. A Last Glacial Maximum forcing dataset for ocean modelling A. Morée & J. Schwinger https://doi.org/10.5194/essd-12-2971-2020
5548. Clouds and Convective Self‐Aggregation in a Multimodel Ensemble of Radiative‐Convective Equilibrium Simulations A. Wing et al. https://doi.org/10.1029/2020MS002138
5549. Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China B. Liu et al. https://doi.org/10.1002/wll2.70030
5550. The remote sensing of radiative forcing by light-absorbing particles (LAPs) in seasonal snow over northeastern China W. Pu et al. https://doi.org/10.5194/acp-19-9949-2019
5551. Increasing probability of humid-heat extremes outpaces that of dry-heat extremes in global land monsoon regions under anthropogenic warming L. Li et al. https://doi.org/10.1016/j.accre.2026.06.024
5552. Atlantic Meridional Overturning Circulation Decline: Tipping Small Scales under Global Warming R. Gou et al. https://doi.org/10.1103/PhysRevLett.133.034201
5553. Projected elevation-dependent warming in the Alps: contrasting free-atmosphere and surface trends with surface energy balance drivers I. Castellanos et al. https://doi.org/10.5194/esd-17-581-2026
5554. Impact of climate change on the distribution of the invasive water hyacinth in Ethiopia A. Hussein et al. https://doi.org/10.2989/16085914.2024.2421797
5555. Comparison of Coupled Model Intercomparison Project Phases 5 and 6 in Simulating Diurnal Cloud Cycle Z. Jiang et al. https://doi.org/10.3390/atmos15030381
5556. A Basic Effect of Cloud Radiative Effects on Tropical Sea Surface Temperature Variability Y. Li et al. https://doi.org/10.1175/JCLI-D-19-0298.1
5557. Greater Greenland Ice Sheet contribution to global sea level rise in CMIP6 S. Hofer et al. https://doi.org/10.1038/s41467-020-20011-8
5558. Disentangling the North Pacific Meridional Mode from tropical Pacific variability I. Richter et al. https://doi.org/10.1038/s41612-022-00317-8
5559. An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record C. Ouyang et al. https://doi.org/10.5194/essd-18-6503-2026
5560. Climate change effects on the potential distribution of the endemic Commiphora species (Burseraceae) on the island of Socotra D. La Montagna et al. https://doi.org/10.3389/ffgc.2023.1183858
5561. Differentiable modelling to unify machine learning and physical models for geosciences C. Shen et al. https://doi.org/10.1038/s43017-023-00450-9
5562. Rising flood risks in semiarid South Asia driven by changing intraseasonal oscillations under global warming J. Xie et al. https://doi.org/10.1126/sciadv.aea0082
5563. Increasing irrigation water requirements across croplands in the Contiguous United States throughout the 21st century H. Yang et al. https://doi.org/10.1016/j.agwat.2025.110044
5564. Impacts of land use conversions on soil organic carbon in a warming-induced agricultural frontier in Northern Ontario, Canada under historical and future climate R. Jiang et al. https://doi.org/10.1016/j.jclepro.2023.136902
5565. Cloud and Surface Albedo Feedbacks Reshape 21st Century Warming in Successive Generations of An Earth System Model D. Schneider et al. https://doi.org/10.1029/2022GL100653
5566. Predicting the impact of climate change on forest composition, deer, and outdoor recreation using structural equation modeling (SEM) in northeastern Minnesota B. Bakshi et al. https://doi.org/10.1016/j.jenvman.2025.126695
5567. Earth system responses to different levels of greenhouse gas emissions mitigation P. Friedlingstein et al. https://doi.org/10.3389/fclim.2024.1480208
5568. Potential for equation discovery with AI in the climate sciences C. Huntingford et al. https://doi.org/10.5194/esd-16-475-2025
5569. Climate projections for Himalaya–Tibetan Highland D. Bhuyan et al. https://doi.org/10.1007/s00704-023-04677-w
5570. Projection of future drought characteristics in the Great South of Madagascar using CMIP6 and bias-correction spatial disaggregation method M. Rabezanahary Tanteliniaina & M. Andrianarimanana https://doi.org/10.1007/s00704-023-04727-3
5571. Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100 T. Sun et al. https://doi.org/10.1038/s41597-025-05918-5
5572. ESD Ideas: Arctic amplification's contribution to breaches of the Paris Agreement A. Duffey et al. https://doi.org/10.5194/esd-14-1165-2023
5573. Long-term changes in depth distribution and phenology of four North Atlantic plankton species J. Castant et al. https://doi.org/10.3354/meps14945
5574. Ocean Warming: From the Surface to the Deep in Observations and Models P. Durack et al. https://doi.org/10.5670/oceanog.2018.227
5575. Regional climate projections using a deep-learning–based model-ranking and downscaling framework: application to European climate zones P. Loganathan et al. https://doi.org/10.1007/s11356-025-36872-9
5576. Spatial and Temporal Analysis of Climatic Zones in Kazakhstan Using Google Earth Engine K. Yessimkhanova & M. Gede https://doi.org/10.3390/ijgi15020057
5577. Global water use efficiency saturation due to increased vapor pressure deficit F. Li et al. https://doi.org/10.1126/science.adf5041
5578. Investigating stable oxygen and carbon isotopic variability in speleothem records over the last millennium using multiple isotope-enabled climate models J. Bühler et al. https://doi.org/10.5194/cp-18-1625-2022
5579. Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble S. Kim et al. https://doi.org/10.3390/w17060894
5580. Making climate projections conditional on historical observations A. Ribes et al. https://doi.org/10.1126/sciadv.abc0671
5581. Persistence and Variability of Earth’s Interhemispheric Albedo Symmetry in 19 Years of CERES EBAF Observations https://doi.org/10.1175/JCLI-D-20-0970.1
5582. Attribution of the unprecedented summer 2022 compound marine and terrestrial heatwave in the Northwest Pacific Q. Chen et al. https://doi.org/10.1088/1748-9326/ad5ab0
5583. Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong M. Li et al. https://doi.org/10.1071/SR24078
5584. CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century K. Wang et al. https://doi.org/10.3390/atmos15040434
5585. Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
5586. Spatiotemporal analysis of climatic and anthropogenic drivers of winter smog in the Indo-Gangetic Plain with a focus on Lahore M. Ghani et al. https://doi.org/10.1007/s11356-026-37816-7
5587. Using Clustering, Statistical Modeling, and Climate Change Projections to Analyze Recent and Future Region‐Specific Compound Ozone and Temperature Burden Over Europe S. Jahn & E. Hertig https://doi.org/10.1029/2021GH000561
5588. Realistic Quasi‐Biennial Oscillation Variability in Historical and Decadal Hindcast Simulations Using CMIP6 Forcing H. Pohlmann et al. https://doi.org/10.1029/2019GL084878
5589. Evolution of the Lower Barun lake and its exposure to potential mass movement slopes in the Nepal Himalaya P. Gantayat et al. https://doi.org/10.1016/j.scitotenv.2024.175028
5590. Constraining the NAO-temperature teleconnection in CMIP6 simulations enables skillful multi-annual predictions of Eurasian winter climate R. Mahmood et al. https://doi.org/10.1088/1748-9326/adde75
5591. Skill of CMIP6 decadal climate predictions at the subregional scale V. Todaro et al. https://doi.org/10.1007/s00477-026-03218-x
5592. Downscaled climate change threats to United States freshwater finfish aquaculture C. Fong et al. https://doi.org/10.1016/j.scitotenv.2024.177596
5593. Elevation-dependent warming: observations, models, and energetic mechanisms M. Byrne et al. https://doi.org/10.5194/wcd-5-763-2024
5594. Adaptive Graph Spatial-Temporal Attention Networks for long lead ENSO prediction C. Liang et al. https://doi.org/10.1016/j.eswa.2024.124492
5595. How well do CMIP6 models simulate the climatological northern boundary of the East Asian summer monsoon? J. Piao et al. https://doi.org/10.1016/j.gloplacha.2023.104034
5596. Evaluation of CMIP6 models in the representation of observed extreme temperature indices trends in South America S. Collazo et al. https://doi.org/10.1007/s10584-022-03376-1
5597. Current and future adaptation potential of heat-tolerant maize in Cameroon: a combined attribution and adaptation study L. Jansen et al. https://doi.org/10.1088/1748-9326/ada459
5598. A review of the El Niño-Southern Oscillation in future O. Alizadeh https://doi.org/10.1016/j.earscirev.2022.104246
5599. Climate change would lead to a sharp acceleration of Central African forests dynamics by the end of the century F. Claeys et al. https://doi.org/10.1088/1748-9326/aafb81
5600. What could we learn about climate sensitivity from variability in the surface temperature record? J. Annan et al. https://doi.org/10.5194/esd-11-709-2020
5601. 陆气耦合加剧未来昼夜同步极端高温风险 楷. 张 et al. https://doi.org/10.1360/SSTe-2024-0245
5602. Understanding equilibrium climate sensitivity changes from CMIP5 to CMIP6: Feedback, AMOC, and precipitation responses X. Wang et al. https://doi.org/10.1016/j.atmosres.2025.107917
5603. The Seasonal and Regional Transition to an Ice‐Free Arctic M. Årthun et al. https://doi.org/10.1029/2020GL090825
5604. Flow dependence of wintertime subseasonal prediction skill over Europe C. Ardilouze et al. https://doi.org/10.5194/wcd-2-1033-2021
5605. Impact of oceanic warming on electromagnetic oceanic tidal signals: A CMIP5 climate model‐based sensitivity study J. Saynisch et al. https://doi.org/10.1002/2017GL073683
5606. Estimates of mass absorption cross sections of black carbon for filter-based absorption photometers in the Arctic S. Ohata et al. https://doi.org/10.5194/amt-14-6723-2021
5607. A Transition Towards an Unusually Wet Condition Will Not Alleviate Water Scarcity Risk in Xinjiang, China Y. Feng et al. https://doi.org/10.1029/2021AV000589
5608. On the Simulations of Global Oceanic Latent Heat Flux in the CMIP5 Multimodel Ensemble R. Zhang et al. https://doi.org/10.1175/JCLI-D-17-0713.1
5609. Large global-scale vegetation sensitivity to daily rainfall variability A. Feldman et al. https://doi.org/10.1038/s41586-024-08232-z
5610. H11 meltwater and standard 127 ka Last Interglacial simulations suggest more modest peak temperatures for both Greenland and Antarctica: a multi-model study of water isotopes L. Sime et al. https://doi.org/10.5194/cp-21-1725-2025
5611. A new perspective on permafrost boundaries in France during the Last Glacial Maximum K. Stadelmaier et al. https://doi.org/10.5194/cp-17-2559-2021
5612. Internal Variability of All‐Sky and Clear‐Sky Surface Solar Radiation on Decadal Timescales B. Chtirkova et al. https://doi.org/10.1029/2021JD036332
5613. Detecting climate milestones on the path to climate stabilization A. MacDougall et al. https://doi.org/10.1088/1748-9326/ad5ab1
5614. Predictable atmospheric circulation driver of Eurasian winter temperatures N. Dunstone et al. https://doi.org/10.1038/s41612-025-01297-1
5615. Climate change and wind energy potential in South America A. Martinez & G. Iglesias https://doi.org/10.1016/j.scitotenv.2024.177675
5616. The IPCC Interactive Atlas DataLab: Online reusability for regional climate change assessment E. Cimadevilla et al. https://doi.org/10.1371/journal.pclm.0000644
5617. Stem Heating Enhances Growth but Reduces Earlywood Lumen Size in Two Pine Species and a Ring-Porous Oak J. Camarero et al. https://doi.org/10.3390/f16071080
5618. Biophysical impacts of northern vegetation changes on seasonal warming patterns X. Lian et al. https://doi.org/10.1038/s41467-022-31671-z
5619. Machine learning based reduced-order models to predict spatiotemporal dynamics of soil carbon and biomass yield of different bioenergy crops S. Gautam et al. https://doi.org/10.1016/j.ccst.2025.100440
5620. Atmospheric Circulation Constraints on 21st Century Seasonal Precipitation Storylines for the Southwestern United States K. Grise https://doi.org/10.1029/2022GL099443
5621. Projected changes in surface air temperature over Pakistan under bias-constrained CMIP6 models R. Karim et al. https://doi.org/10.1007/s12517-023-11243-1
5622. Tropical Precipitation Woes in the Community Earth System Model Version 2 M. Lofverstrom & J. Zhu https://doi.org/10.1029/2023GL104416
5623. Impacts of climate change and best management practices on nitrate loading to a eutrophic coastal lagoon A. Oliver et al. https://doi.org/10.3389/fenvs.2024.1468869
5624. Downscaling CESM2 in CLM5 to Hindcast Preindustrial Equilibrium Line Altitudes for Tropical Mountain Glaciers N. Heavens https://doi.org/10.1029/2021GL094071
5625. East Asian heatwaves intensify faster than they dissipate in a warming climate S. Zhang & D. Chen https://doi.org/10.1088/1748-9326/aea00c
5626. chelsa‐cmip6 1.0: a python package to create high resolution bioclimatic variables based on CHELSA ver. 2.1 and CMIP6 data D. Karger et al. https://doi.org/10.1111/ecog.06535
5627. Antarctic meltwater-induced dynamical changes in phytoplankton in the Southern Ocean J. Oh et al. https://doi.org/10.1088/1748-9326/ac444e
5628. High‐resolution CMIP6 analysis highlights emerging climate challenges in alpine and Tibetan Tundra zones B. Fallah et al. https://doi.org/10.1002/met.70001
5629. Identical hierarchy of physical drought types for climate change signals and uncertainty P. Hosseinzadehtalaei et al. https://doi.org/10.1016/j.wace.2023.100573
5630. Predicting the potential distribution of wintering Asian Great Bustard (Otis tarda dybowskii) in China: Conservation implications Z. Lu et al. https://doi.org/10.1016/j.gecco.2021.e01817
5631. Historical variability of Coupled Model Intercomparison Project Version 6 (CMIP6)-driven surface winds and global reanalysis data for the Eastern Mediterranean I. Çetin et al. https://doi.org/10.1007/s00704-024-04869-y
5632. Stable Equatorial Ice Belts at High Obliquity in a Coupled Atmosphere–Ocean Model C. Kilic et al. https://doi.org/10.3847/1538-4357/aad5eb
5633. The Role of Anthropogenic Climate Change on March–April–May (MAM) Drought Trends Across Global Land H. Yohannes et al. https://doi.org/10.1002/joc.8776
5634. Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6 J. Yu et al. https://doi.org/10.3390/w14192996
5635. Widespread Grounding Line Retreat of Totten Glacier, East Antarctica, Over the 21st Century T. Pelle et al. https://doi.org/10.1029/2021GL093213
5636. North Pacific Upper-Ocean Cold Temperature Biases in CMIP6 Simulations and the Role of Regional Vertical Mixing Y. Zhu et al. https://doi.org/10.1175/JCLI-D-19-0654.1
5637. Simulation of atmospheric carbon dioxide removal and its projected impacts on water balance over West Africa U. K & A. O https://doi.org/10.1007/s42865-026-00135-3
5638. Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models H. Chen et al. https://doi.org/10.3390/atmos14061044
5639. Persistence of North Atlantic ocean heat uptake following CO2 concentration maximum Y. Zhang & C. Chen https://doi.org/10.1007/s00382-024-07397-7
5640. A multi-model analysis of the decadal prediction skill for the North Atlantic ocean heat content T. Carmo-Costa et al. https://doi.org/10.5194/esd-16-1001-2025
5641. Evaluation of NEX-GDDP-CMIP6 to simulate precipitation using multi-criteria decision-making analysis over Türkiye M. Yılmaz et al. https://doi.org/10.1007/s00704-025-05805-4
5642. Effects of anthropogenic forcing and atmospheric circulation on the record-breaking welt bulb heat event over southern China in September 2021 D. WANG & Y. SUN https://doi.org/10.1016/j.accre.2022.11.007
5643. The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al. https://doi.org/10.5194/gmd-19-2821-2026
5644. Varied midlatitude shortwave cloud radiative responses to Southern Hemisphere circulation shifts M. Kelleher & K. Grise https://doi.org/10.1002/asl.1068
5645. Temperature Thresholds for Carbon Flux Variation and Warming‐Induced Changes C. Fu et al. https://doi.org/10.1029/2023JD039747
5646. Beyond the mean: the macroeconomic consequences of shifting temperature anomaly distributions D. Winter et al. https://doi.org/10.1007/s10584-026-04257-7
5647. Hydrological Intensification Will Increase the Complexity of Water Resource Management D. Ficklin et al. https://doi.org/10.1029/2021EF002487
5648. Emergent constraint indicates forced decline in European winter windstorm frequency M. Priestley et al. https://doi.org/10.1088/1748-9326/ae845f
5649. Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios M. Ling et al. https://doi.org/10.1016/j.ecoinf.2024.102790
5650. Ranking of CMIP6 based High-resolution Global Climate Models for India using TOPSIS R. Thakur & V. Manekar https://doi.org/10.1080/09715010.2021.2015462
5651. A past and present perspective on the European summer vapor pressure deficit V. Nagavciuc et al. https://doi.org/10.5194/cp-20-573-2024
5652. Marine ecosystem role in setting up preindustrial and future climate J. Tjiputra et al. https://doi.org/10.1038/s41467-025-57371-y
5653. Cascading effects augment the direct impact of CO2 on phytoplankton growth in a biogeochemical model M. Seifert et al. https://doi.org/10.1525/elementa.2021.00104
5654. Assessing the projected impacts of climate change on underwater cultural heritage in the Nuevo Gulf, Argentina V. Meccia et al. https://doi.org/10.1016/j.culher.2026.09.001
5655. Modulations in the Indian Summer Monsoon–ENSO teleconnections by the North Tropical Atlantic K. Sooraj et al. https://doi.org/10.1007/s00382-023-06817-4
5656. Variability and Changes in Temperature, Precipitation and Snow in the Desaguadero-Salado-Chadileuvú-Curacó Basin, Argentina G. Müller & M. Lovino https://doi.org/10.3390/cli11070135
5657. Global monsoon in ICON: the scale-dependent response of Northern Hemisphere monsoons P. Pothapakula et al. https://doi.org/10.5194/wcd-7-979-2026
5658. Influence of model resolution on bomb cyclones revealed by HighResMIP-PRIMAVERA simulations G. Jiaxiang et al. https://doi.org/10.1088/1748-9326/ab88fa
5659. Projecting Future Vegetation Change for Northeast China Using CMIP6 Model W. Yuan et al. https://doi.org/10.3390/rs13173531
5660. Decomposing the Drivers of Polar Amplification with a Single-Column Model M. Henry et al. https://doi.org/10.1175/JCLI-D-20-0178.1
5661. Influence of frozen hydrometeor–radiation interactions on moisture biases in CMIP6 models over the tropical and subtropical pacific J. Li et al. https://doi.org/10.1088/2515-7620/ae9c0b
5662. Sea Ice Formation in a Coupled Climate Model Including Grease Ice S. Mackie et al. https://doi.org/10.1029/2020MS002103
5663. Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. https://doi.org/10.1016/j.rser.2025.116284
5664. Projection of fire weather index in Daxing’anling, Northeast China using a machine learning-based CMIP6 multi-model ensemble S. Debulois et al. https://doi.org/10.1007/s10584-026-04140-5
5665. Hysteresis of the intertropical convergence zone to CO2 forcing J. Kug et al. https://doi.org/10.1038/s41558-021-01211-6
5666. Modeling and prediction of climate change impacts on water resources vulnerability: A multi-model approach T. Mengistu et al. https://doi.org/10.1016/j.jenvman.2025.126025
5667. A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables G. Bénard et al. https://doi.org/10.5194/esd-16-1085-2025
5668. Human Influence on Global-Scale Climate Change Y. KOSAKA https://doi.org/10.5363/tits.27.1_66
5669. Exploring climate stabilisation at different global warming levels in ACCESS-ESM-1.5 A. King et al. https://doi.org/10.5194/esd-15-1353-2024
5670. Estimating future heat-related and cold-related mortality under climate change, demographic and adaptation scenarios in 854 European cities P. Masselot et al. https://doi.org/10.1038/s41591-024-03452-2
5671. Future changes in aridity in the Upper Indus Basin during the twenty-first century X. Wang et al. https://doi.org/10.3354/cr01684
5672. Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations Y. Yamada et al. https://doi.org/10.1186/s40645-020-00397-1
5673. Constraining extreme precipitation projections using past precipitation variability W. Zhang et al. https://doi.org/10.1038/s41467-022-34006-0
5674. Impacts of climate change on asphalt pavement infrastructure: a case study of Hunan Province, China L. Zhu et al. https://doi.org/10.1080/10298436.2026.2672574
5675. Large spread in interannual variance of atmospheric CO2 concentration across CMIP6 Earth System Models V. Martín-Gómez et al. https://doi.org/10.1038/s41612-023-00532-x
5676. Improved decadal predictions of East Asian summer temperature based on decadal increment and observational constraint J. Qian et al. https://doi.org/10.1016/j.accre.2026.04.010
5677. Downscaling ensemble climate projections to urban scale: Brussels's future climate at 1.5 °C, 2 °C, and 3 °C global warming F. Duchêne et al. https://doi.org/10.1016/j.uclim.2022.101319
5678. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein https://doi.org/10.1029/2023GL105795
5679. Male-producing beaches in the Pacific: crucial refuges for sea turtles facing climate change R. Vinueza-Chérrez et al. https://doi.org/10.1007/s10584-025-04050-y
5680. Non-native plant invasion after fire in western USA varies by functional type and with climate J. Prevéy et al. https://doi.org/10.1007/s10530-023-03235-9
5681. Evaluation of CMIP6 model performance and future climate projections over the Genale dawa river basin, Ethiopia F. Chanie https://doi.org/10.1038/s41598-025-29498-x
5682. Strong increase in thawing of subsea permafrost in the 22nd century caused by anthropogenic climate change S. Wilkenskjeld et al. https://doi.org/10.5194/tc-16-1057-2022
5683. Future Köppen-Geiger climate zones over Southeast Asia using CMIP6 Multimodel Ensemble M. Hamed et al. https://doi.org/10.1016/j.atmosres.2022.106560
5684. Prioritizing the selection of CMIP6 model ensemble members for downscaling projections of CONUS temperature and precipitation J. Longmate et al. https://doi.org/10.1007/s00382-023-06846-z
5685. A methodology to estimate Probable Maximum Precipitation (PMP) under climate change using a numerical weather model Y. Hiraga et al. https://doi.org/10.1016/j.jhydrol.2024.132659
5686. Environmental records from coral skeletons: A decade of novel insights and innovation D. Thompson https://doi.org/10.1002/wcc.745
5687. Machine learning and statistical approaches for wind speed estimation at partially sampled and unsampled locations; review and open questions F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.enconman.2025.119555
5688. Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model M. Brennan et al. https://doi.org/10.1029/2022GL101656
5689. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. https://doi.org/10.1007/s10712-023-09781-0
5690. The impact of ENSO and NAO initial conditions and anomalies on the modeled response to Pinatubo-sized volcanic forcing H. Weierbach et al. https://doi.org/10.5194/acp-23-15491-2023
5691. Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al. https://doi.org/10.1007/s00382-023-06781-z
5692. Projections of extreme weather events according to climate change scenarios and populations at-risk in Brazil L. Dantas et al. https://doi.org/10.1007/s10584-025-03989-2
5693. Streamflow of the Betwa River under the Combined Effect of LU-LC and Climate Change A. Kumar et al. https://doi.org/10.3390/agriculture12122005
5694. Revised estimates of temperature changes under net zero CO2 emissions A. Borowiak et al. https://doi.org/10.1038/s41612-025-01148-z
5695. Coupling framework (1.0) for the PISM (1.1.4) ice sheet model and the MOM5 (5.1.0) ocean model via the PICO ice shelf cavity model in an Antarctic domain M. Kreuzer et al. https://doi.org/10.5194/gmd-14-3697-2021
5696. Analysis of Near-Surface Air Temperature Trends in Brazil Region Using Meteorological Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al. https://doi.org/10.3390/cli13110235
5697. Arctic Warming and Associated Sea Ice Reduction in the Early 20th Century Induced by Natural Forcings in MRI‐ESM2.0 Climate Simulations and Multimodel Analyses T. Aizawa et al. https://doi.org/10.1029/2020GL092336
5698. A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections Y. Duan & S. Kumar https://doi.org/10.1088/2752-5295/ad3a0c
5699. Calibrated EMOS: applications to temperature and wind speed forecasting C. Gaetan et al. https://doi.org/10.1007/s10651-024-00606-w
5700. Implementation and evaluation of a dynamic root water uptake scheme in the Beijing climate center climate system model J. Chen et al. https://doi.org/10.1007/s00382-025-07883-6
5701. The role of local topography and sea surface temperature on summer monsoon precipitation over Bangladesh and northeast India A. Fahad et al. https://doi.org/10.1002/joc.7490
5702. Tipping points in ocean and atmosphere circulations S. Loriani et al. https://doi.org/10.5194/esd-16-1611-2025
5703. Stronger temperature–moisture couplings exacerbate the impact of climate warming on global crop yields C. Lesk et al. https://doi.org/10.1038/s43016-021-00341-6
5704. Polar night jet characterization through artificial intelligence M. Rodríguez-Montes et al. https://doi.org/10.1016/j.cageo.2022.105176
5705. Projections of drought characteristics based on combined drought index under CMIP6 models M. Shafiei et al. https://doi.org/10.2166/wpt.2023.175
5706. The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM D. Lee et al. https://doi.org/10.1029/2019EA000663
5707. Mean states and future projections of precipitation over the monsoon transitional zone in China in CMIP5 and CMIP6 models J. Piao et al. https://doi.org/10.1007/s10584-021-03286-8
5708. Global groundwater warming due to climate change S. Benz et al. https://doi.org/10.1038/s41561-024-01453-x
5709. Detecting the human fingerprint in the summer 2022 western–central European soil drought D. Schumacher et al. https://doi.org/10.5194/esd-15-131-2024
5710. A modern-day Mars climate in the Met Office Unified Model: dry simulations D. McCulloch et al. https://doi.org/10.5194/gmd-16-621-2023
5711. Ecosystem service bundles under SSP-RCP and local scenarios: A pathway to comprehensive spatial planning for sustainability S. Zhou et al. https://doi.org/10.1016/j.resenv.2025.100211
5712. Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6 G. Hurtt et al. https://doi.org/10.5194/gmd-13-5425-2020
5713. Simulated and projected SST of Asian marginal seas based on CMIP6 models S. Jin et al. https://doi.org/10.3389/fmars.2023.1178974
5714. Overestimated Indian Ocean Dipole amplitude in CMIP6 models arises primarily from biased dynamic air–sea coupling J. Fu & Y. Zhang https://doi.org/10.1016/j.aosl.2026.100894
5715. Model sensitivity of Tibetan plateau surface potential vorticity and the Asian summer monsoon system to Asian orographic perturbation in FGOALS-f2 B. He et al. https://doi.org/10.1016/j.fmre.2023.08.013
5716. First comprehensive assessment of industrial-era land heat uptake from multiple sources F. García-Pereira et al. https://doi.org/10.5194/esd-15-547-2024
5717. Storylines of future drought in the face of uncertain rainfall projections: a New Zealand case study H. Lewis et al. https://doi.org/10.5194/esd-16-1557-2025
5718. Modeling the agricultural suitability of key crops under climate change scenarios in british columbia using spatial machine learning V. Vakhshoori et al. https://doi.org/10.1016/j.agrformet.2026.111492
5719. The Role of Small to Moderate Volcanic Eruptions in the Early 19th Century Climate S. Fang et al. https://doi.org/10.1029/2023GL105307
5720. Significant improvement of cloud representation in the global climate model MRI-ESM2 H. Kawai et al. https://doi.org/10.5194/gmd-12-2875-2019
5721. Multi-year La Niña–El Niño transition influenced Earth’s extreme energy uptake in 2022–2023 K. Tsuchida et al. https://doi.org/10.1038/s41561-026-01921-6
5722. Observed large-scale and deep-reaching compound ocean state changes over the past 60 years Z. Tan et al. https://doi.org/10.1038/s41558-025-02484-x
5723. Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways H. Sung et al. https://doi.org/10.1007/s13143-021-00225-6
5724. Ecosystem services values at risk in the Atlantic coastal zone due to sea-level rise and socioeconomic development L. Magalhães Filho et al. https://doi.org/10.1016/j.ecoser.2022.101492
5725. The reduced net carbon uptake over Northern Hemisphere land causes the close-to-normal CO 2 growth rate in 2021 La Niña J. Liu et al. https://doi.org/10.1126/sciadv.adl2201
5726. The Lack of QBO‐MJO Connection in CMIP6 Models H. Kim et al. https://doi.org/10.1029/2020GL087295
5727. Extreme-range precipitation probability across global weather systems S. Duan et al. https://doi.org/10.1126/sciadv.aec6879
5728. Climate Change Will Increase Biomass Proportion of Global Forest Carbon Stocks Under an SSP5–8.5 Climate Trajectory Z. Mekonnen & W. Riley https://doi.org/10.1029/2023GL104612
5729. Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling M. Armstrong et al. https://doi.org/10.1016/j.ejrh.2020.100728
5730. Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale D. Elia et al. https://doi.org/10.1109/ACCESS.2021.3079139
5731. Global differences in urbanization dynamics from 1985 to 2015 and outlook considering IPCC climate scenarios H. Taubenböck et al. https://doi.org/10.1016/j.cities.2024.105117
5732. Deep Learning-Based Multi-Step Ahead Streamflow Forecasting under RCP 4.5 and 8.5 Scenarios A. Ozer et al. https://doi.org/10.1007/s11269-026-04875-x
5733. Assessing future heat stress across China: combined effects of heat and relative humidity on mortality G. Zhang et al. https://doi.org/10.3389/fpubh.2023.1282497
5734. Evaluation and selection of future meteorological years for building performance simulations in Europe T. Thiis et al. https://doi.org/10.1080/19401493.2026.2697216
5735. Antarctic Sea Ice Concentration in the Brazilian Earth System Model Simulations F. Casagrande et al. https://doi.org/10.4236/gep.2023.119001
5736. An exhaustive investigation of changes in projected extreme precipitation indices and streamflow using CMIP6 climate models: A case study S. Anil & P. Raj https://doi.org/10.1007/s12040-024-02267-6
5737. Effects of climate change on marine ecosystems in the southeastern Pacific: multiple ocean stressors assessed through climate velocities L. Yévenes Vega et al. https://doi.org/10.1088/1748-9326/adff96
5738. Impact of anthropogenic emission control in reducing future PM2.5 concentrations and the related oxidative potential across different regions of China J. Liu et al. https://doi.org/10.1016/j.scitotenv.2024.170638
5739. Linking hydroclimate indices to projected warming temperature and increased precipitation under CMIP6 for a sub-arctic basin C. Nakigudde et al. https://doi.org/10.1016/j.ejrh.2024.102059
5740. Future changes in precipitation over Central Asia based on CMIP6 projections J. Jiang et al. https://doi.org/10.1088/1748-9326/ab7d03
5741. Persistent performance of the power-function complementary relationship in Earth system models under a warming scenario S. Im et al. https://doi.org/10.1016/j.jhydrol.2026.135813
5742. Signal‐to‐noise errors in free‐running atmospheric simulations and their dependence on model resolution F. Cottrell et al. https://doi.org/10.1002/asl.1212
5743. Faster-than-expected intensification of heat extremes in a maritime climate: a New Zealand case study H. Lewis et al. https://doi.org/10.1088/1748-9326/adfe80
5744. Cascading temperature demand: The limits of thermal nesting in naturally ventilated buildings F. Suerich-Gulick et al. https://doi.org/10.1016/j.buildenv.2021.108607
5745. Recent trends in extratropical lows and their rainfall over Australia A. Pepler & M. Osman https://doi.org/10.1071/ES24002
5746. Safeguarding European space sovereignty—Recommendations for operational climate services to support resilience C. Nam et al. https://doi.org/10.1016/j.spacepol.2025.101689
5747. Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking J. Ren et al. https://doi.org/10.1038/s43247-024-01801-0
5748. Anthropogenic influence on altitudinally amplified temperature change in the Tibetan Plateau Y. Sun et al. https://doi.org/10.1088/1748-9326/ad3bd3
5749. An exponential-interval sampling method for evaluating equilibrium climate sensitivity via reducing internal variability noise S. Li & P. Huang https://doi.org/10.1186/s40562-022-00244-9
5750. Assessing observational constraints on future European climate in an out-of-sample framework C. O’Reilly et al. https://doi.org/10.1038/s41612-024-00648-8
5751. Assessment of Central Asian heat extremes by statistical downscaling: Validation and future projection for 2015‒2100 L. Fan et al. https://doi.org/10.1016/j.accre.2021.09.007
5752. Evaluation of CMIP6 multi-model ensemble for assessing the intensity and duration of Indian monsoon under future warming scenarios S. Lenka et al. https://doi.org/10.1007/s00382-025-07923-1
5753. Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6 A. Yool et al. https://doi.org/10.1029/2019MS001933
5754. Global PM2.5 Prediction and Associated Mortality to 2100 under Different Climate Change Scenarios W. Chen et al. https://doi.org/10.1021/acs.est.3c03804
5755. Evaluating sea ice thickness simulation is critical for projecting a summer ice-free Arctic Ocean X. Zhou et al. https://doi.org/10.1088/1748-9326/ac9d4d
5756. Comparison between CMIP5 and CMIP6 Models over MENA Region Using Historical Simulations and Future Projections M. Hamed et al. https://doi.org/10.3390/su141610375
5757. Assessing Climate Impacts on Rice and Wheat Production using Satellite Imagery, CMIP6 Models, and Teleconnections M. Hussain & M. Iqbal https://doi.org/10.1007/s42106-026-00433-y
5758. Climate and management trade-offs shape açaí (Euterpe oleracea) fruit production across natural forests and plantation systems in the Amazon A. Dantas et al. https://doi.org/10.1016/j.tfp.2026.101419
5759. An Efficient Ice Sheet/Earth System Model Spin‐up Procedure for CESM2‐CISM2: Description, Evaluation, and Broader Applicability M. Lofverstrom et al. https://doi.org/10.1029/2019MS001984
5760. High-resolution projections of summer compound humid-heat extremes and GDP exposure in Eastern China X. Yang et al. https://doi.org/10.1016/j.atmosres.2026.109341
5761. Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems H. Luo et al. https://doi.org/10.1038/s41467-026-69480-3
5762. Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models K. Zhang et al. https://doi.org/10.1007/s00376-021-0442-2
5763. The choice of land-based climate change mitigation measures influences future global biodiversity loss A. Hirata et al. https://doi.org/10.1038/s43247-024-01433-4
5764. Forecasting the future of Fall armyworm Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) in India using ecological niche model A. Karuppannasamy et al. https://doi.org/10.1007/s00484-024-02715-4
5765. Future increase in compound soil drought-heat extremes exacerbated by vegetation greening J. Li et al. https://doi.org/10.1038/s41467-024-55175-0
5766. Assessing the potential and complementary characteristics of China's solar and wind energy under climate change Y. Fan et al. https://doi.org/10.1016/j.renene.2025.123213
5767. Projected global sulfur deposition with climate intervention H. Rubin et al. https://doi.org/10.1016/j.gecadv.2024.100011
5768. Amazon deforestation intensifies atmospheric aridity through locally dominant biophysical mechanisms M. Cheng et al. https://doi.org/10.1016/j.agrformet.2025.110693
5769. Anthropogenic and climatic drivers of the 2022 mega-flood in Pakistan A. Arshad et al. https://doi.org/10.1038/s44304-025-00109-z
5770. Surface wind over Europe: Data and variability C. Rojas‐Labanda et al. https://doi.org/10.1002/joc.7739
5771. Highlighting the role of biota in feedback loops from tundra ecosystems to the atmosphere N. Schmidt et al. https://doi.org/10.3389/fenvs.2024.1491604
5772. Tropical-leaning Atlantic Oscillation favors more typhoons toward Asian high-latitude cities Z. Wu et al. https://doi.org/10.1038/s41467-025-67946-4
5773. Suppressed Atlantic Niño/Niña variability under greenhouse warming Y. Yang et al. https://doi.org/10.1038/s41558-022-01444-z
5774. Future projections of winter cold surge paths over East Asia from CMIP6 models X. Yang et al. https://doi.org/10.1002/joc.6797
5775. Integrating Farmers’ Perceptions and Crop Modelling to Evaluate Agronomic Adaptation Measures for Irrigated Maize Under Climate Change D. Soares et al. https://doi.org/10.3390/agronomy16191872
5776. Wild Apples Are Not That Wild: Conservation Status and Potential Threats of Malus sieversii in the Mountains of Central Asia Biodiversity Hotspot Z. Tian et al. https://doi.org/10.3390/d14060489
5777. Response of Northern Hemisphere Rossby wave breaking to changes in sea surface temperature and sea ice cover S. Tahvonen et al. https://doi.org/10.5194/wcd-6-1299-2025
5778. Vapor buoyancy increases clear-sky thermal emission D. Yang & S. Seidel https://doi.org/10.1088/2752-5295/acba39
5779. Impacts of climate change on environmental flows in West Africa’s Upper Niger Basin and the Inner Niger Delta J. Thompson et al. https://doi.org/10.2166/nh.2021.041
5780. Predicting the potential habitat distribution of parthenium weed (Parthenium hysterophorus) globally and in Oman under projected climate change A. Al Ruheili et al. https://doi.org/10.1016/j.jssas.2021.12.004
5781. Spatial and Temporal Rainfall Patterns in the Little Dry Season Over the Guinea Coast: Case Assessment of Historical Observations, Associated Drivers and Future Projections J. Aryee et al. https://doi.org/10.1002/met.70125
5782. Future risks of cyanobacterial blooms in lakes unveiled by open access data and integrated machine learning models C. Chen et al. https://doi.org/10.1016/j.watres.2026.125428
5783. Future weather generator for building performance research: An open-source morphing tool and an application E. Rodrigues et al. https://doi.org/10.1016/j.buildenv.2023.110104
5784. Atmospheric circulation to constrain subtropical precipitation projections R. Chemke & J. Yuval https://doi.org/10.1038/s41558-025-02266-5
5785. Preserving the coupled atmosphere–ocean feedback in initializations of decadal climate predictions S. Brune & J. Baehr https://doi.org/10.1002/wcc.637
5786. Development of multi-model ensembles using tree-based machine learning methods to assess the future renewable energy potential: case of the East Thrace, Turkey D. Guven https://doi.org/10.1007/s11356-023-28649-9
5787. A Dual-Ensemble Machine Learning Framework for Coconut Yield Projection Under CMIP6 Climate Scenarios in the Andaman and Nicobar Islands . Abhilash et al. https://doi.org/10.3390/cli14060123
5788. Differential Adaptive Potential and Vulnerability to Climate-Driven Habitat Loss in Brazilian Mangroves J. de Deus Vidal Junior et al. https://doi.org/10.3389/fcosc.2022.763325
5789. Modulation of Atlantic multidecadal oscillation on the relationship between ENSO and late-winter Southern Indian Ocean Dipole M. Xu et al. https://doi.org/10.1007/s00382-026-08208-x
5790. Combined emergent constraints on future extreme precipitation changes H. Shiogama et al. https://doi.org/10.1038/s41467-025-60385-1
5791. Mixed layer depth in the PMIP4 midHolocene simulations: comparison to proxy data in North Atlantic deep convection regions X. Wu et al. https://doi.org/10.5194/cp-22-1609-2026
5792. Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL M. Appel et al. https://doi.org/10.1016/j.isprsjprs.2018.01.014
5793. Next-generation regional ocean projections for living marine resource management in a changing climate E. Drenkard et al. https://doi.org/10.1093/icesjms/fsab100
5794. An EOF-Based Emulator of Means and Covariances of Monthly Climate Fields G. Geogdzhayev et al. https://doi.org/10.5194/esd-17-235-2026
5795. Developing climate services for vulnerable islands in the Southwest Indian Ocean: A combined statistical and dynamical CMIP6 downscaling approach for climate change assessment M. Leroux et al. https://doi.org/10.1016/j.cliser.2024.100491
5796. Assessment of future water availability scenarios for São Lourenço supply system watershed in São Paulo, Brazil G. Calado & M. Valverde https://doi.org/10.1007/s40899-025-01257-w
5797. Assessment of future hydrometeorological variability in the Konya Basin, Türkiye using bias-corrected CMIP6 projections O. Katipoğlu et al. https://doi.org/10.1016/j.jastp.2026.106885
5798. Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO2 A. Winkler et al. https://doi.org/10.5194/bg-18-4985-2021
5799. XGBoost-based bias correction of CMIP6 precipitation in the Wabi Shebelle Basin, Ethiopia: a comparative study with empirical quantile mapping A. Tsegaye Tadase & A. Tekile https://doi.org/10.2166/wcc.2026.103
5800. Semi-confined terrain concurrently amplifies heat stress and ozone pollution in Northern China Y. Miao et al. https://doi.org/10.1016/j.isci.2025.113653
5801. Integrated Hydrological and Water Allocation Modelling for Drought Management and Restriction Planning in a Regulated River Basin: Application to the Olt River Basin (Romania) M. Chevereșan et al. https://doi.org/10.3390/hydrology13020054
5802. Antarctic surface climate and surface mass balance in the Community Earth System Model version 2 during the satellite era and into the future (1979–2100) D. Dunmire et al. https://doi.org/10.5194/tc-16-4163-2022
5803. How Does Cloud Emissivity Feedback Affect Present and Future Arctic Warming? M. Nakanishi & T. Michibata https://doi.org/10.34133/olar.0089
5804. The Global‐Mean Precipitation Response to CO2‐Induced Warming in CMIP6 Models A. Pendergrass https://doi.org/10.1029/2020GL089964
5805. Evaluation of CMIP6 models in simulating the trend slowdown of the summer Southern Annular Mode R. Wang et al. https://doi.org/10.1016/j.accre.2026.03.005
5806. Coupling the Common Land Model to ECHAM5 Atmospheric General Circulation Model Y. Xin et al. https://doi.org/10.1007/s13351-019-8117-y
5807. Impact of climate change on maize yields in North-East China A. Cottrell et al. https://doi.org/10.1088/2515-7620/aea5ef
5808. Nonlinear response of Equatorial Western Pacific phytoplankton blooms to ‘double-dip’ La Niña events R. Chen et al. https://doi.org/10.1088/2515-7620/acd1e7
5809. Regional patterns of heat wave and heat stress intensification across Europe from high-resolution WRF simulations under SSP scenarios Z. Ye et al. https://doi.org/10.1088/2752-5295/adec10
5810. Changes of South‐Central Pacific Large‐Scale Environment Associated With Hydrometeors‐Radiation‐Circulation Interactions in a Coupled GCM J. Li et al. https://doi.org/10.1029/2021JD034973
5811. Evaluation of climate and land use change impacts on discharge variability in the Mekong River's largest tributary N. Inseeyong et al. https://doi.org/10.1016/j.iswcr.2025.09.015
5812. Projection of Forest Fire Hazard in Northern South America Using the Fire Weather Index Driven by NEX-GDDP-CMIP6 Climate Projections Y. Guerra et al. https://doi.org/10.1016/j.envc.2026.101659
5813. The relationship between extra-tropical cyclone intensity and precipitation in idealised current and future climates V. Sinclair & J. Catto https://doi.org/10.5194/wcd-4-567-2023
5814. Predicting meteorological drought in the Kabul River Basin using machine learning techniques and climate change projections U. Khan et al. https://doi.org/10.2166/wpt.2026.186
5815. Characteristics of population exposure to climate extremes from regional to global 1.5 °C and 2.0 °C warming in CMIP6 models P. Qin et al. https://doi.org/10.1088/1748-9326/ad101c
5816. Response of water cycle over drylands to a warming future C. LIU et al. https://doi.org/10.1016/j.accre.2025.09.005
5817. Recent California tree mortality portends future increase in drought-driven forest die-off G. Madakumbura et al. https://doi.org/10.1088/1748-9326/abc719
5818. Spatial Assessment of Future Drought Risk in Agricultural Lands: A CMIP6-Based Analysis A. Şekeroğlu & R. Öztaş Karlı https://doi.org/10.15832/ankutbd.1842184
5819. Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes M. Roberts et al. https://doi.org/10.1029/2019MS002014
5820. Future projections of winter haze events in northern East Asia under different Shared Socioeconomic Pathways (SSPs) J. Jeong et al. https://doi.org/10.1016/j.scitotenv.2025.180805
5821. Generating samples of extreme winters to support climate adaptation N. Leach et al. https://doi.org/10.1016/j.wace.2022.100419
5822. The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign A. Boone et al. https://doi.org/10.1016/j.jemets.2025.100007
5823. Intensified changes in extreme climate events over the Philippines region under future climate scenarios S. Ignacio-Reardon et al. https://doi.org/10.1007/s40808-025-02581-y
5824. Decadal change of extreme consecutive dry days in spring over the middle and lower reaches of the Yangtze River around the early 2000s: The synergistic effect of mega-El Niño/Southern Oscillation, Atlantic Multidecadal Oscillation, and Arctic sea ice Z. Zeng & J. Sun https://doi.org/10.1016/j.atmosres.2021.105936
5825. Summertime atmosphere–sea ice coupling in the Arctic simulated by CMIP5/6 models: Importance of large-scale circulation R. Luo et al. https://doi.org/10.1007/s00382-020-05543-5
5826. Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets G. Peng et al. https://doi.org/10.5334/dsj-2021-019
5827. Parametrization of Subgrid Scales in Long-Term Simulations of the Shallow-Water Equations Using Machine Learning and Convex Limiting M. Mojamder et al. https://doi.org/10.3390/fluids11030076
5828. The regional MiKlip decadal prediction system for Europe: Hindcast skill for extremes and user‐oriented variables J. Moemken et al. https://doi.org/10.1002/joc.6824
5829. Diurnal cycle of precipitation over the tropics and central United States: intercomparison of general circulation models C. Tao et al. https://doi.org/10.1002/qj.4629
5830. Slowdown and reversal of terrestrial near-surface wind speed and its future changes over eastern China J. Zha et al. https://doi.org/10.1088/1748-9326/abe2cd
5831. Geography and Environment Shape Spatial Genetic Variation and Predict Climate Maladaptation Across Isolated and Disjunct Populations of Pinus muricata L. Galland et al. https://doi.org/10.1111/mec.17638
5832. A new dipole index for the North Pacific Victoria mode T. Wen et al. https://doi.org/10.1007/s00382-024-07330-y
5833. Historical and projected relationships between the Tibetan Plateau summer monsoon and precipitation in Central Asia based on multi-CMIP6 models X. Lu et al. https://doi.org/10.1016/j.atmosres.2022.106564
5834. Regional difference in precipitation seasonality over China from CMIP6 projections D. Hu et al. https://doi.org/10.1002/joc.8199
5835. Progress in joint application of crop models and hydrological models Y. You et al. https://doi.org/10.1016/j.agwat.2024.108746
5836. Forecasting Occupational Survivability of Rickshaw Pullers in a Changing Climate with Wearable Data M. Rahaman et al. https://doi.org/10.1145/3770712
5837. Toward Regional Marine Ecological Forecasting Using Global Climate Model Predictions From Subseasonal to Decadal Timescales: Bottlenecks and Recommendations S. Minobe et al. https://doi.org/10.3389/fmars.2022.855965
5838. The source of Double ITCZ induced by the SST bias over the tropical western Pacific as reflected in CAS-ESM2 Model J. Tong et al. https://doi.org/10.1007/s11430-023-1304-5
5839. Slightly enhanced drought in the Yellow River Basin under future warming scenarios C. Li et al. https://doi.org/10.1016/j.atmosres.2022.106423
5840. Detection and attribution of climate change: A deep learning and variational approach C. Bône et al. https://doi.org/10.1017/eds.2022.17
5841. Assessing Changes in 21st Century Mean and Extreme Climate of the Sacramento–San Joaquin Delta in California M. He https://doi.org/10.3390/cli10020016
5842. Observations indicate regionally misleading wetting and drying trends in CMIP6 L. Jensen et al. https://doi.org/10.1038/s41612-024-00788-x
5843. Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations M. Roussel et al. https://doi.org/10.5194/tc-14-2715-2020
5844. Weakening vegetation control on global terrestrial evapotranspiration in a warmer world H. Li et al. https://doi.org/10.1038/s43247-026-03372-8
5845. Can agricultural policy achieve environmental goals through an indicator-based direct payment system? A. Gilgen et al. https://doi.org/10.1093/qopen/qoac034
5846. Deciphering the role of evapotranspiration in declining relative humidity trends over land Y. Kim & M. Johnson https://doi.org/10.1038/s43247-025-02076-9
5847. Multiscenario Analysis of Hydrological Responses to Climate Change over River Basins of the Western Ghats of India S. Shetty et al. https://doi.org/10.1061/JHYEFF.HEENG-6214
5848. Climate change impacts and the reshaping of Canadian viticulture M. Lippa et al. https://doi.org/10.1016/j.isci.2025.111941
5849. The role of Arctic sea ice loss in the interdecadal trends of the East Asian summer monsoon in a warming climate X. Zhang et al. https://doi.org/10.1038/s41612-024-00717-y
5850. The moisture dynamics in arid Central Asia over the last 47,000 years: Insights from the speleothem record Y. Cai et al. https://doi.org/10.1073/pnas.2537342123
5851. Inter-model differences in 21st century glacier runoff for the world's major river basins F. Wimberly et al. https://doi.org/10.5194/tc-19-1491-2025
5852. Why is the Earth System Oscillating at a 6-Year Period? A. Cazenave et al. https://doi.org/10.1007/s10712-024-09874-4
5853. Desmatamento restringe refúgios climáticos na Amazônia C. Torres-Amaral et al. https://doi.org/10.1590/s0103-4014.202438112.013
5854. Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning T. Atwood et al. https://doi.org/10.1002/ecs2.70316
5855. Global air-sea CO2 flux inversion based on multi-source data fusion and machine learning Y. Chen et al. https://doi.org/10.1016/j.chaos.2024.115963
5856. Stratification and wind changes shape future Indian Ocean chlorophyll K. Sadhvi et al. https://doi.org/10.1088/2515-7620/ae3462
5857. Including climate change to predict the global suitable area of an invasive pest: Bactrocera correcta (Diptera: Tephritidae) Y. Zhang et al. https://doi.org/10.1016/j.gecco.2022.e02021
5858. Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations Z. Feng et al. https://doi.org/10.1029/2022GL102603
5859. A hybrid Monte Carlo simulation risk model for oil exploration projects E. Balas https://doi.org/10.1016/j.marpolbul.2023.115270
5860. Response of the Upper‐Level Monsoon Anticyclones and Ozone to Abrupt CO2 Changes O. Tweedy et al. https://doi.org/10.1029/2021JD034903
5861. Non-linear dynamical approaches for characterizing multi-sector climate impacts under irreducible uncertainty R. Mawalagedara et al. https://doi.org/10.1038/s41612-025-01208-4
5862. Diverging land-use projections cause large variability in their impacts on ecosystems and related indicators for ecosystem services A. Bayer et al. https://doi.org/10.5194/esd-12-327-2021
5863. Changes in global teleconnection patterns under global warming and stratospheric aerosol intervention scenarios A. Rezaei et al. https://doi.org/10.5194/acp-23-5835-2023
5864. Unraveling non-monotonic responses of the El Niño–Southern Oscillation to post-2100 global warming M. Hayashi et al. https://doi.org/10.1038/s41612-026-01375-y
5865. Marine Heatwaves E. Oliver et al. https://doi.org/10.1146/annurev-marine-032720-095144
5866. Resolution-Dependent Perspectives on Caribbean Hydro-Climate Change M. Jury https://doi.org/10.3390/hydrology7040093
5867. New model ensemble reveals how forcing uncertainty and model structure alter climate simulated across CMIP generations of the Community Earth System Model M. Holland et al. https://doi.org/10.5194/gmd-17-1585-2024
5868. An uncertain future for the endemic Galliformes of the Caucasus A. Hof & A. Allen https://doi.org/10.1016/j.scitotenv.2018.09.227
5869. High-latitude Southern Ocean eddy activity projected to evolve with anthropogenic climate change N. Beech et al. https://doi.org/10.1038/s43247-025-02221-4
5870. Projection of temperature-related severe injuries under climate change: a nationwide study of South Korea J. Oh et al. https://doi.org/10.1186/s12889-025-24844-0
5871. Historical and Projected Changes in Temperature Extremes Over China and the Inconsistency Between Multimodel Ensembles and Individual Models From CMIP5 and CMIP6 Y. Yang et al. https://doi.org/10.1029/2022EA002514
5872. Impact of future climate trend and fluctuation on winter wheat yield in the North China Plain and adaptation strategies J. Hu et al. https://doi.org/10.1038/s41598-025-06370-6
5873. Climate-smart irrigation planning for rabi maize (Zea mays L.): CMIP6 multi-model projections in north-central Bangladesh M. Islam et al. https://doi.org/10.1016/j.jafr.2025.102225
5874. Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability B. Yang et al. https://doi.org/10.1029/2020MS002357
5875. Interhemispheric asymmetry of climate change projections of boreal winter surface winds in CanESM5 large ensemble simulations B. Yu et al. https://doi.org/10.1007/s10584-022-03313-2
5876. Detecting and calibrating large biases in global onshore wind power assessment across temporal scales C. Hou et al. https://doi.org/10.1038/s41467-025-59195-2
5877. Present and Future of Rainfall in Antarctica É. Vignon et al. https://doi.org/10.1029/2020GL092281
5878. The 20th century global warming signature on the ocean at global and basin scales as depicted from historical reanalyses A. Storto et al. https://doi.org/10.1002/joc.7163
5879. Multivariate Estimations of Equilibrium Climate Sensitivity From Short Transient Warming Simulations R. Bastiaansen et al. https://doi.org/10.1029/2020GL091090
5880. Trait-Based Modeling of Terrestrial Ecosystems: Advances and Challenges Under Global Change X. Xu & A. Trugman https://doi.org/10.1007/s40641-020-00168-6
5881. An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+) Y. Wang et al. https://doi.org/10.5194/essd-17-4185-2025
5882. Recent and future CO2 emission trajectories and nature-based carbon neutrality potential in China under different SSP scenarios C. Han et al. https://doi.org/10.3389/fenvs.2026.1745309
5883. Quantifying impacts of precipitation scenarios projected under climate change on annual probability of rainfall-induced landslides at a specific slope X. Liu & Y. Wang https://doi.org/10.1016/j.compgeo.2023.106063
5884. Mechanisms and quantification: How anthropogenic aerosols weaken the East Asian summer monsoon Y. Lang et al. https://doi.org/10.1038/s41612-025-00903-6
5885. Pacific Ocean–originated anthropogenic carbon and its long-term variations in the South China Sea Z. Wang et al. https://doi.org/10.1126/sciadv.adn9171
5886. The Overlooked Role of the Stratosphere Under a Solar Constant Reduction E. Bednarz et al. https://doi.org/10.1029/2022GL098773
5887. Predicting Present and Future Suitable Climate Spaces (Potential Distributions) for an Armillaria Root Disease Pathogen (Armillaria solidipes) and Its Host, Douglas-fir (Pseudotsuga menziesii), Under Changing Climates M. Kim et al. https://doi.org/10.3389/ffgc.2021.740994
5888. Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate M. Hasan et al. https://doi.org/10.1029/2022GL100401
5889. Satellite-observed strong subtropical ocean warming as an early signature of global warming H. Yang et al. https://doi.org/10.1038/s43247-023-00839-w
5890. Spatiotemporal evolution, physical drivers, and future prediction of global terrestrial moisture imbalance: a multi-expert AI-agent approach based on SVBI L. Xu et al. https://doi.org/10.1016/j.jhydrol.2026.135846
5891. Reduced tropical rain-band asymmetry through the seasonal cycle P. Zhang et al. https://doi.org/10.1038/s41561-026-02046-6
5892. Brief communication: New perspectives on the skill of modelled sea ice trends in light of recent Antarctic sea ice loss C. Holmes et al. https://doi.org/10.5194/tc-18-5641-2024
5893. A machine-learning analysis of lagrangian low-cloud evolution in climate models H. Lewis & G. Bellon https://doi.org/10.1007/s00382-025-07745-1
5894. Warming winters and cultivar resilience in sweet cherry: agroclimatic requirements and future suitability under Mediterranean-continental conditions N. Santolaria et al. https://doi.org/10.1016/j.agrformet.2026.111138
5895. Asymmetry in the climate–carbon cycle response to positive and negative CO2 emissions K. Zickfeld et al. https://doi.org/10.1038/s41558-021-01061-2
5896. Alkalinity biases in CMIP6 Earth system models and implications for simulated CO2 drawdown via artificial alkalinity enhancement C. Hinrichs et al. https://doi.org/10.5194/bg-20-3717-2023
5897. Estimating global evapotranspiration and its drivers using the remote sensing Penman–Monteith model and geographical detectors S. Yang et al. https://doi.org/10.1007/s11676-026-02024-z
5898. Visualising historical changes in air pollution with the Air Quality Stripes K. Pringle et al. https://doi.org/10.5194/gc-8-229-2025
5899. A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology D. Yang et al. https://doi.org/10.1007/s00376-024-4214-7
5900. Exploiting a variational auto-encoder to represent the evolution of sudden stratospheric warmings Y. Chen et al. https://doi.org/10.1088/2752-5295/ad3a0d
5901. Assessing the Reliability of High-Resolution CCAM-ACS Precipitation Projections: Implications for Drought and Wheat Exposure Across Australia M. Rezaie-Balf & L. Chua https://doi.org/10.1007/s41748-026-01272-7
5902. Nitrogen cycle module for INM RAS climate model A. Chernenkov et al. https://doi.org/10.1515/rnam-2024-0018
5903. How aerosols and greenhouse gases influence the diurnal temperature range C. Stjern et al. https://doi.org/10.5194/acp-20-13467-2020
5904. Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s A. Uribe et al. https://doi.org/10.5194/acp-24-13371-2024
5905. Development and assessment of the physical–biogeochemical ocean regional model in the Northwest Pacific: NPRT v1.0 (ROMS v3.9–TOPAZ v2.0) D. Kim et al. https://doi.org/10.5194/gmd-18-3941-2025
5906. ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models E. Zeraatkar et al. https://doi.org/10.1109/MPULS.2025.3526506
5907. Single‐Column Modeling of Convection During the CINDY2011/DYNAMO Field Campaign With the CNRM Climate Model Version 6 A. Abdel‐Lathif et al. https://doi.org/10.1002/2017MS001077
5908. Open Science Expectations for Simulation-Based Research G. Mullendore et al. https://doi.org/10.3389/fclim.2021.763420
5909. Prediction of Current and Future Suitable Habitats for Three Invasive Freshwater Fish Species in Europe O. Artaev https://doi.org/10.3390/w15112091
5910. Range dynamics of Walterinnesia morgani (Serpentes, Elapidae) during climatic oscillations in Iran A. Gholamifard & M. Şahin https://doi.org/10.3897/herpetozoa.36.e107947
5911. Spatio‐temporal analysis of copula‐based probabilistic multivariate drought index using CMIP6 model S. Dixit & K. Jayakumar https://doi.org/10.1002/joc.7469
5912. Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5 R. Fisher et al. https://doi.org/10.1029/2019MS001609
5913. Adapting reforestation programs to observed and projected climate change Z. Sang et al. https://doi.org/10.1007/s11027-023-10050-z
5914. Role of tropical lower stratosphere winds in quasi-biennial oscillation disruptions M. Kang et al. https://doi.org/10.1126/sciadv.abm7229
5915. Assessing Decadal Predictability in an Earth‐System Model Using Explainable Neural Networks B. Toms et al. https://doi.org/10.1029/2021GL093842
5916. Asymmetry of El Niño and La Niña precipitation diversity S. Kim & J. Kug https://doi.org/10.1088/1748-9326/ae84ec
5917. Changes in the tropical rainfall seasonal cycle dominated by mesoscale convective systems X. Guo et al. https://doi.org/10.1038/s41561-026-02072-4
5918. Global warming leads to growth increase in Pinus sylvestris in the Kazakh steppe X. Zhao et al. https://doi.org/10.1016/j.foreco.2023.121635
5919. A theoretical index for understanding distinct land relative humidity trends in observations, reanalyses, and models W. Zhou et al. https://doi.org/10.1073/pnas.2512645123
5920. Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons H. Xu et al. https://doi.org/10.1038/s41467-022-31826-y
5921. Origins of Southern Ocean warm sea surface temperature bias in CMIP6 models F. Luo et al. https://doi.org/10.1038/s41612-023-00456-6
5922. Assessing Biases and Climate Implications of the Diurnal Precipitation Cycle in Climate Models C. Christopoulos & T. Schneider https://doi.org/10.1029/2021GL093017
5923. Identifying the effects of climate change on discharge and sediment transport in a typical alpine basin Y. Zhou et al. https://doi.org/10.1016/j.ijsrc.2025.05.002
5924. Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin S. Sobie et al. https://doi.org/10.1080/07055900.2025.2478829
5925. Editorial: Evidence synthesis for accelerated learning on climate solutions L. Berrang‐Ford et al. https://doi.org/10.1002/cl2.1128
5926. Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season C. Barnes et al. https://doi.org/10.1088/2752-5295/adec0f
5927. An Improved Parameterization of Wind‐Driven Turbulent Vertical Mixing Based on an Eddy‐Resolving Climate Model M. Yuan et al. https://doi.org/10.1029/2021MS002630
5928. Heatwaves in a 15 °C World: Exploring remote drivers’ influence on Northern Italy with a storyline-based approach A. Squintu et al. https://doi.org/10.1016/j.wace.2026.100949
5929. The Unprecedented Late-Summer 2023 Heatwave in Southeastern South America: Attribution and future projection of similar events W. Kim et al. https://doi.org/10.1016/j.wace.2025.100772
5930. Closing the Nutrient Loop in Smallholder Irrigated Agriculture Through Manure Recycling: Assessing Productivity Response Under Future Climate Stress in Zimbabwe F. Dube et al. https://doi.org/10.3390/agronomy16111052
5931. Projecting the excess mortality due to heatwave and its characteristics under climate change, population and adaptation scenarios J. Liu et al. https://doi.org/10.1016/j.ijheh.2023.114157
5932. Coupled model intercomparison project phase 6 (CMIP6) high resolution model intercomparison project (HighResMIP) bias in extreme rainfall drives underestimation of amazonian precipitation R. Negron-Juarez et al. https://doi.org/10.1088/2515-7620/ad6ff9
5933. The North Atlantic mean state in mesoscale eddy-resolving coupled models: a multimodel study A. Frigola et al. https://doi.org/10.5194/os-21-3507-2025
5934. Fire heat affects the impacts of wildfires on air pollution in the United States Q. Ma et al. https://doi.org/10.1126/science.ads1957
5935. The Role of Tropical Atlantic in ENSO Predictability Barrier Y. Zhao et al. https://doi.org/10.1029/2022GL101853
5936. Assessing the impact of climate change on temperature extremes in Cumilla District, Bangladesh: past trends and future projections S. Khadem https://doi.org/10.1007/s00703-026-01209-9
5937. Impacts of Climate Change on Extreme Climate Indices in Türkiye Driven by High-Resolution Downscaled CMIP6 Climate Models B. Gumus et al. https://doi.org/10.3390/su15097202
5938. FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model C. Chien et al. https://doi.org/10.5194/gmd-15-5987-2022
5939. Modified Hershfield based estimation of probable maximum precipitation under future climate scenarios in the Mahanadi basin S. Ahmad et al. https://doi.org/10.1007/s41062-026-02690-2
5940. Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina I. Pokhrel et al. https://doi.org/10.3390/forecast2030018
5941. Spatial modeling of fire in the atlantic forest considering future climate change scenarios in Rio Grande do Sul state – Brazil P. Herrmann et al. https://doi.org/10.1016/j.jsames.2023.104614
5942. Wake effect impact on the levelized cost of energy in large floating offshore wind farms: A case of study in the northwest of the Iberian Peninsula B. Thomas et al. https://doi.org/10.1016/j.energy.2024.132159
5943. Weakened large-scale surface heat flux feedback at midlatitudes under global warming Z. Wang et al. https://doi.org/10.1038/s41467-024-54394-9
5944. A systems modelling approach to predict biological responses to extreme heat D. Noble et al. https://doi.org/10.1016/j.tree.2026.01.009
5945. Climate change impact on photovoltaic power potential in China based on CMIP6 models J. Niu et al. https://doi.org/10.1016/j.scitotenv.2022.159776
5946. Emergence of the enhanced equatorial Atlantic warming as a fingerprint of global warming L. Dong et al. https://doi.org/10.1038/s41467-025-68015-6
5947. How Well Do CMIP6 Historical Runs Match Observed Northeast U.S. Precipitation and Extreme Precipitation–Related Circulation? L. Agel & M. Barlow https://doi.org/10.1175/JCLI-D-19-1025.1
5948. Strengthening Amplitude and Impact of the Pacific Meridional Mode on ENSO in the Warming Climate Depicted by CMIP6 Models H. Fan et al. https://doi.org/10.1175/JCLI-D-21-0683.1
5949. Effects of Equatorial Ocean Current Bias on Simulated El Niño Pattern in CMIP6 Models Y. Lin et al. https://doi.org/10.1029/2023GL102890
5950. Projection of future rainfall events over the Beas River basin, Western Himalaya, using shared socioeconomic pathways (SSPs) from CMIP6 C. Kant & R. Meena https://doi.org/10.2166/wcc.2024.627
5951. Global tree slenderness under climate change D. Tian et al. https://doi.org/10.1111/1365-2745.70248
5952. Comparing near-term information from national climate scenarios and initialised decadal predictions J. Murphy et al. https://doi.org/10.1007/s00382-025-07807-4
5953. The coupled system response to 250 years of freshwater forcing: Last Interglacial CMIP6–PMIP4 HadGEM3 simulations M. Guarino et al. https://doi.org/10.5194/cp-19-865-2023
5954. Response of Vegetation to Extreme Climate in the Yellow River Basin: Spatiotemporal Patterns, Lag Effects, and Scenario Differences S. Zhou et al. https://doi.org/10.3390/rs17243967
5955. Tripling of western US particulate pollution from wildfires in a warming climate Y. Xie et al. https://doi.org/10.1073/pnas.2111372119
5956. Assessment on future rainfall variability for adaptive water resource management in Sabah M. Leong et al. https://doi.org/10.1051/bioconf/202413105012
5957. Marine biogeochemical cycling and oceanic CO2 uptake simulated by the NUIST Earth System Model version 3 (NESM v3) Y. Dai et al. https://doi.org/10.5194/gmd-13-3119-2020
5958. Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Z. Pei et al. https://doi.org/10.5194/acp-23-14691-2023
5959. Contemporary decline in northern Indian Ocean primary production offset by rising atmospheric nitrogen deposition M. Malsang et al. https://doi.org/10.3389/fmars.2024.1418634
5960. “Colder North Eurasia, warmer North America” pattern in December 2023 and its blocking precursor X. Xu et al. https://doi.org/10.1016/j.atmosres.2024.107807
5961. Users’ awareness and expectations from the climate change adaptation digital twin M. Terrado et al. https://doi.org/10.1016/j.envsci.2025.104236
5962. Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. https://doi.org/10.5194/wcd-5-895-2024
5963. Centennial Changes in the Indonesian Throughflow Connected to the Atlantic Meridional Overturning Circulation: The Ocean's Transient Conveyor Belt S. Sun & A. Thompson https://doi.org/10.1029/2020GL090615
5964. Predicting Climate Change Effects on the Potential Distribution of Two Invasive Cryptic Species of the Bemisia tabaci Species Complex in China Y. Xue et al. https://doi.org/10.3390/insects13121081
5965. Comparison of Clouds and Cloud Feedback between AMIP5 and AMIP6 Y. Zhang et al. https://doi.org/10.3390/atmos14060978
5966. A globally consistent local-scale assessment of future tropical cyclone risk N. Bloemendaal et al. https://doi.org/10.1126/sciadv.abm8438
5967. 21 st century projections of concurrent hot-dry extremes and population exposure in North Africa under two socioeconomic scenarios H. Babaousmail et al. https://doi.org/10.1007/s00704-025-05990-2
5968. Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. https://doi.org/10.1134/S0001433822050097
5969. Initial Results From the Super‐Parameterized E3SM W. Hannah et al. https://doi.org/10.1029/2019MS001863
5970. Biases and improvements of the ENSO-East Asian winter monsoon teleconnection in CMIP5 and CMIP6 models W. Jiang et al. https://doi.org/10.1007/s00382-022-06220-5
5971. Response of damaging Philippines tropical cyclones to a warming climate using the pseudo global warming approach R. Delfino et al. https://doi.org/10.1007/s00382-023-06742-6
5972. Climate change impacts on potential evapotranspiration and crop water demand in the Tana Subbasin, upper blue Nile Basin, Ethiopia H. Eshetie et al. https://doi.org/10.2166/wcc.2026.023
5973. Impact of climate change on coastal water quality and its interaction with pollution prevention efforts J. Xiong et al. https://doi.org/10.1016/j.jenvman.2022.116557
5974. Plant nutrient acquisition under elevated CO2 and implications for the land carbon sink T. Cambron et al. https://doi.org/10.1038/s41558-025-02386-y
5975. A comprehensive comparison of the fifth and sixth phases of the coupled model intercomparison project based on the Canadian earth system models in spatio-temporal variability of long-term flood susceptibility using remote sensing and flood frequency analysis I. Ebtehaj & H. Bonakdari https://doi.org/10.1016/j.jhydrol.2022.128851
5976. The Multisensor Advanced Climatology of Liquid Water Path (MAC-LWP) G. Elsaesser et al. https://doi.org/10.1175/JCLI-D-16-0902.1
5977. Record-breaking summer rainfall in the Asia–Pacific region attributed to the strongest Asian westerly jet related to aerosol reduction during COVID-19 X. An et al. https://doi.org/10.1088/1748-9326/acdd84
5978. Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. https://doi.org/10.1029/2023GL104848
5979. Kilometre-Scale Climate Projections for Nicosia: Dynamical and Machine Learning Downscaling to Detect Future Intra-Urban Heat Hotspots K. Koutroumanou-Kontosi et al. https://doi.org/10.3390/cli14070152
5980. Adaptation analysis and fusion correction method of CMIP6 precipitation simulation data on the Qinghai-Tibetan Plateau H. Peng et al. https://doi.org/10.1007/s11629-023-8223-2
5981. A 481-meter-high landslide-tsunami in a cruise ship–frequented Alaska fjord D. Shugar et al. https://doi.org/10.1126/science.aec3187
5982. Assessment of embedded risk in precipitation tails over India through concentration profiles: a multi-model assessment from CMIP6 experiments S. Kaur et al. https://doi.org/10.1007/s11069-026-08267-7
5983. Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. https://doi.org/10.1002/joc.7159
5984. Quantifying Climate Change Variability for the Better Management of Water Resources: The Case of Kobo Valley, Danakil Basin, Ethiopia M. Tesfaw et al. https://doi.org/10.3390/cli12100159
5985. Symmetric and asymmetric response of Indian Summer Monsoon rainfall to different ENSO decay phases in observations and CMIP6 models J. Chowdary et al. https://doi.org/10.1016/j.gloplacha.2022.104000
5986. Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes Y. Wang et al. https://doi.org/10.1007/s00376-024-3288-6
5987. Interdecadal Pacific oscillation phase dominants near-term global monsoon precipitation changes J. Jiang & T. Zhou https://doi.org/10.1088/1748-9326/add1f8
5988. Frequent land-ocean transboundary migration of tropical heatwaves under climate change X. Gu et al. https://doi.org/10.1038/s41467-025-58586-9
5989. Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy K. Tokarska et al. https://doi.org/10.1038/s41561-019-0493-5
5990. Systematic improvement in simulated latent and sensible heat fluxes over tropical oceans in AMIP6 models compared to AMIP5 models with the same resolutions X. Zhou et al. https://doi.org/10.1016/j.atmosres.2022.106214
5991. Human‐Induced Rainfall Reduction in Drought‐Prone Northern Central Asia J. Jiang & T. Zhou https://doi.org/10.1029/2020GL092156
5992. Brazil seed transfer zones: Supporting seed sourcing for climate‐resilient ecosystem restoration M. Silva et al. https://doi.org/10.1002/ppp3.70217
5993. Reconstruction of long-term hydrologic change and typhoon-induced flood events over the entire island of Taiwan J. Stelly et al. https://doi.org/10.1016/j.ejrh.2024.101806
5994. Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models S. Palomas et al. https://doi.org/10.5194/gmd-18-3661-2025
5995. Process-based evaluation of ENSO simulation sensitivity to horizontal resolution in the Chinese Academy of Sciences FGOALS-f3 Climate System Model M. Song et al. https://doi.org/10.5194/gmd-19-4725-2026
5996. How explosive volcanic eruptions reshape daily precipitation distributions S. Paik et al. https://doi.org/10.1016/j.wace.2022.100489
5997. Recent and near‐term future changes in impacts‐relevant seasonal hydroclimate in the world's Mediterranean climate regions R. Seager et al. https://doi.org/10.1002/joc.8551
5998. Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks Y. Ye et al. https://doi.org/10.1038/s41612-024-00886-w
5999. Mapping current and future coffee suitability in Peru under climate change: implications for restoration and deforestation-free development J. Zabaleta-Santisteban et al. https://doi.org/10.3389/fenvs.2026.1777634
6000. Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia L. Tian et al. https://doi.org/10.3390/ani14071124
6001. Aerosols in the central Arctic cryosphere: satellite and model integrated insights during Arctic spring and summer B. Swain et al. https://doi.org/10.5194/acp-24-5671-2024
6002. Evaluation of Radiatively Active Frozen Hydrometeors Mass in CMIP6 Global Climate Models Using CloudSat‐CALIPSO Observations J. Li et al. https://doi.org/10.1029/2023JD039200
6003. FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration N. Leach et al. https://doi.org/10.5194/gmd-14-3007-2021
6004. Climate change on crop water requirements, irrigation, and scheduling in Jimma, Ethiopia: using CMIP6 A. Bokke et al. https://doi.org/10.1007/s44533-025-00010-8
6005. Selection of Global Climate Models (GCMs) for Climate Change Analysis Using t-Distributed Stochastic Neighbour Embedding (t-SNE): Implications of Future Bioclimatic Shifts on Forest Trees in Tunisia and Algeria H. Achour et al. https://doi.org/10.1007/s41651-024-00209-w
6006. On the multi-annual potential predictability of the Arctic Ocean climate state in the INM RAS climate model E. Volodin & V. Vorobyeva https://doi.org/10.1515/rnam-2022-0010
6007. Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al. https://doi.org/10.1007/s10712-022-09754-9
6008. Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements P. Arias et al. https://doi.org/10.17533/udea.redin.20210525
6009. Influences of atmospheric blocking on North American summer heatwaves in a changing climate: a comparison of two Canadian Earth system model large ensembles D. Jeong et al. https://doi.org/10.1007/s10584-022-03358-3
6010. Future extreme precipitation changes in the South Asian Summer Monsoon Dominance Region D. Deegala et al. https://doi.org/10.1016/j.atmosres.2023.107029
6011. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. https://doi.org/10.1007/s00376-020-0147-y
6012. Why do numerical models simulate contrasting primary productivity responses in the North Pacific during the Last Glacial Maximum? Z. Zhang et al. https://doi.org/10.3389/fmars.2026.1949533
6013. Runaway Climate Across the Wider Caribbean and Eastern Tropical Pacific in the Anthropocene: Threats to Coral Reef Conservation, Restoration, and Social–Ecological Resilience E. Hernández-Delgado & Y. Rodríguez-González https://doi.org/10.3390/atmos16050575
6014. Interhemispheric Contrasts of Ocean Heat Content Change Reveals Distinct Fingerprints of Anthropogenic Climate Forcings J. Shi et al. https://doi.org/10.1029/2023GL102741
6015. Decomposition of skill scores for conditional verification: impact of Atlantic Multidecadal Oscillation phases on the predictability of decadal temperature forecasts A. Richling et al. https://doi.org/10.5194/gmd-18-361-2025
6016. Seamless climate information from months to multiple years: constraining decadal predictions with seasonal predictions and past observations, and their comparison to multi-annual predictions C. Delgado-Torres et al. https://doi.org/10.5194/esd-17-41-2026
6017. Q-CLASS: an observation-based reconstruction dataset for streamflow at China’s large dam sites J. Yu et al. https://doi.org/10.1016/j.jhydrol.2026.135499
6018. Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century A. Arshad et al. https://doi.org/10.1016/j.ejrh.2025.102552
6019. Anthropogenic aerosols override greenhouse gases in Sahel climate change H. Nnamchi & S. Fiedler https://doi.org/10.1038/s43247-026-03474-3
6020. Tropical Variability Simulated in ICON‐A With a Spectral Cumulus Parameterization Y. Baba & M. Giorgetta https://doi.org/10.1029/2019MS001732
6021. Storylines of summer Arctic climate change constrained by Barents–Kara seas and Arctic tropospheric warming for climate risk assessment X. Levine et al. https://doi.org/10.5194/esd-15-1161-2024
6022. Evaluating climate change impacts on mortality, life insurance, and annuities L. Wang et al. https://doi.org/10.1016/j.insmatheco.2026.103306
6023. Entrainment and the tropical tropospheric thermal structure in global climate models L. Palmer & M. Singh https://doi.org/10.5194/wcd-6-1565-2025
6024. Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala P. Rivera https://doi.org/10.1007/s41748-022-00333-x
6025. Integrating a hybrid machine learning model with climate projections for landslide susceptibility assessment M. Tumon et al. https://doi.org/10.1016/j.rineng.2025.108067
6026. Response of plant species to impact of climate change in Hugumbrda Grat-Kahsu forest, Tigray, Ethiopia: Implications for domestication and climate change mitigation H. Abrha et al. https://doi.org/10.1016/j.tfp.2023.100487
6027. Seasonal Hydrodynamic Forecasts of INM-CM5 Model for Estimation of the Start of the Birch Pollen Season S. Emelina et al. https://doi.org/10.31857/S0002351523040053
6028. Drivers and mechanisms contributing to excess warming in Europe during recent decades B. Dong & R. Sutton https://doi.org/10.1038/s41612-025-00930-3
6029. The Future of Climate Epidemiology: Opportunities for Advancing Health Research in the Context of Climate Change G. Anderson et al. https://doi.org/10.1093/aje/kwz034
6030. Integrating CMlP6 and terrain factors via MSMP: improved precipitation simulations and SHAP interpretation W. Lu et al. https://doi.org/10.1007/s00704-025-05874-5
6031. A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models K. Raeder et al. https://doi.org/10.1038/s41598-021-92927-0
6032. Research on the risk of rainstorm and flood disasters in Songliao basin based on CMIP6 J. Chu et al. https://doi.org/10.1007/s11069-025-07217-z
6033. Comparing bias adjustment methods for CMIP6 extreme precipitation projections in the San-Pédro River Basin (Côte d’Ivoire, West Africa) F. Akaffou et al. https://doi.org/10.1007/s00704-026-06043-y
6034. pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. https://doi.org/10.12688/openreseurope.13633.2
6035. Extraordinary 2021 snowstorm in Spain reveals critical threshold response to anthropogenic climate change D. Insua-Costa et al. https://doi.org/10.1038/s43247-024-01503-7
6036. What causes the spread of model projections of ocean dynamic sea-level change in response to greenhouse gas forcing? M. Couldrey et al. https://doi.org/10.1007/s00382-020-05471-4
6037. A climate service for ecologists: sharing pre-processed EURO-CORDEX regional climate scenario data using the eLTER Information System S. Rennie et al. https://doi.org/10.5194/essd-13-631-2021
6038. High resolution climate change observations and projections for the evaluation of heat-related extremes E. Williams et al. https://doi.org/10.1038/s41597-024-03074-w
6039. Assessing climate change impacts on sugarcane yield, crop water productivity, and nitrous oxide emissions across Brazil's bioenergy using the CSM-SAMUCA-sugarcane model E. Leite et al. https://doi.org/10.1016/j.agsy.2025.104494
6040. Benchmarking soil moisture and its relationship to ecohydrologic variables in Earth System Models E. Massoud et al. https://doi.org/10.5194/gmd-19-3427-2026
6041. High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections H. Beck et al. https://doi.org/10.1038/s41597-023-02549-6
6042. Teleconnection Patterns of Different El Niño Types Revealed by Climate Network Curvature F. Strnad et al. https://doi.org/10.1029/2022GL098571
6043. Human influence on the 2021 British Columbia floods N. Gillett et al. https://doi.org/10.1016/j.wace.2022.100441
6044. The welfare properties of climate targets L. Coppens & F. Venmans https://doi.org/10.1016/j.ecolecon.2024.108424
6045. Predicted changes in distribution and grazing value of Stipa-based plant communities across the Eurasian steppe Y. Tu et al. https://doi.org/10.1016/j.jenvman.2024.120757
6046. Projected Urban Air Pollution in Riyadh Using CMIP6 and Bayesian Modeling K. Faqeih et al. https://doi.org/10.3390/su17146288
6047. Role of Anthropogenic Climate Change in Autumn Drought Trend over China from 1961 to 2014 X. Zhang et al. https://doi.org/10.1007/s13351-022-1178-3
6048. Future climate projection across Tanzania under CMIP6 with high-resolution regional climate model D. Magang et al. https://doi.org/10.1038/s41598-024-63495-w
6049. The global energy balance as represented in CMIP6 climate models M. Wild https://doi.org/10.1007/s00382-020-05282-7
6050. The warm Arctic-cold north american pattern in CanESM5 large ensemble simulations: Eurasian influence and uncertainty due to internal variability B. Yu & H. Lin https://doi.org/10.1007/s00382-023-06966-6
6051. The Performance of CMIP6 Versus CMIP5 in Simulating Temperature Extremes Over the Global Land Surface X. Fan et al. https://doi.org/10.1029/2020JD033031
6052. A Potential Reason for a More CP El Nino‐Like SSTA Performance in CMIP6 Simulations L. Wang & Y. Lin https://doi.org/10.1029/2023GL105092
6053. Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al. https://doi.org/10.1038/s41612-025-00922-3
6054. A stochastic model of future extreme temperature events for infrastructure analysis D. Villa et al. https://doi.org/10.1016/j.envsoft.2023.105663
6055. Different photovoltaic power potential variations in East and West China X. Chen et al. https://doi.org/10.1016/j.apenergy.2023.121846
6056. Hysteresis and irreversibility in permafrost physical response to increase and decrease of CO2 emissions N. Watanabe et al. https://doi.org/10.5194/esd-17-1135-2026
6057. An Overview of Machine Learning and Deep Learning Applications in Earth Sciences in 2024: Achievements and Perspectives M. Krinitskiy https://doi.org/10.3103/S0027134924702217
6058. Global Bias-Corrected CORDEX Datasets at Half Degree Resolution F. Yakubu et al. https://doi.org/10.1038/s41597-025-06200-4
6059. Addressing uncertainty when projecting marine species' distributions under climate change S. Davies et al. https://doi.org/10.1111/ecog.06731
6060. Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset K. Hartung et al. https://doi.org/10.5194/esd-12-763-2021
6061. Near-Future Climate Change Impacts on Sado River (Southern Portugal) Flow Rates Using CMIP6-HSPF Modelling A. Claro et al. https://doi.org/10.3390/w18040442
6062. Evaluation of CMIP6 historical simulations over IGAD region of Eastern Africa P. Omay et al. https://doi.org/10.1007/s44274-023-00012-2
6063. Identification of Best CMIP6 Global Climate Model for Rainfall by Ensemble Implementation of MCDM Methods and Statistical Inference G. Patel et al. https://doi.org/10.1007/s11269-023-03599-6
6064. Constraining CMIP6 sea ice simulations with ICESat-2 A. Petty et al. https://doi.org/10.5194/gmd-18-6313-2025
6065. Introducing uncertainties in composite indicators. The case of the Impact Chain risk assessment framework C. Melo-Aguilar et al. https://doi.org/10.3389/fclim.2022.1019888
6066. A JavaScript API for the Ice Sheet System Model (ISSM) 4.11: towards an online interactive model for the cryosphere community E. Larour et al. https://doi.org/10.5194/gmd-10-4393-2017
6067. Inter‐Basin Interaction Between Variability in the South Atlantic Ocean and the El Niño/Southern Oscillation Y. Ham et al. https://doi.org/10.1029/2021GL093338
6068. Spatiotemporal Dynamics and Future Projections of Carbon Use Efficiency on the Mongolian Plateau: A Remote Sensing and Machine Learning Approach X. Yang et al. https://doi.org/10.3390/rs17081392
6069. Mapping future flood susceptibility in Greater Yangon, Myanmar using Google Earth Engine and machine learning M. Mone et al. https://doi.org/10.1016/j.susgeo.2026.100025
6070. Frequency of the winter temperature extremes over Siberia dominated by the Atlantic Meridional Overturning Circulation H. Wang et al. https://doi.org/10.1038/s41612-022-00307-w
6071. Evaluation of CMIP6 model performance and extreme precipitation prediction in the Awash basin C. Sime & W. Dibaba https://doi.org/10.1016/j.heliyon.2023.e21578
6072. Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6 E. Barkanov et al. https://doi.org/10.1016/j.enconman.2023.118058
6073. Projected population exposure to dangerous heat stress around Lake Victoria under a high-end climate change scenario D. Ramon et al. https://doi.org/10.1088/1748-9326/ae05b1
6074. A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China R. Zhang et al. https://doi.org/10.1007/s00343-020-0157-8
6075. A mechanistic analysis of tropical Pacific dynamic sea level in GFDL-OM4 under OMIP-I and OMIP-II forcings C. Hsu et al. https://doi.org/10.5194/gmd-14-2471-2021
6076. Identification of extreme socioeconomic droughts considering heavy tailed distribution Z. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135867
6077. Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa A. Michalek et al. https://doi.org/10.1029/2022WR034166
6078. A North American climate-masting-irruption teleconnection and its change under future climate H. Bai et al. https://doi.org/10.1016/j.scitotenv.2024.174473
6079. A Large Ensemble Global Dataset for Climate Impact Assessments X. Gao et al. https://doi.org/10.1038/s41597-023-02708-9
6080. Evaluation of the N2O Rate of Change to Understand the Stratospheric Brewer‐Dobson Circulation in a Chemistry‐Climate Model D. Minganti et al. https://doi.org/10.1029/2021JD036390
6081. Communicating future sea-level rise uncertainty and ambiguity to assessment users R. Kopp et al. https://doi.org/10.1038/s41558-023-01691-8
6082. Projection of heat-related occupational injuries under climate change and demographic scenarios in Italian cities C. Gariazzo et al. https://doi.org/10.1016/j.envres.2026.124644
6083. Projected Changes in Temperature and Precipitation Over the United States, Central America, and the Caribbean in CMIP6 GCMs M. Almazroui et al. https://doi.org/10.1007/s41748-021-00199-5
6084. Climate-Driven Distribution Modeling of Endemic Iranian Ground Jay (Podoces pleskei): Ecological Niche and Conservation Y. Rakhshanifari et al. https://doi.org/10.3390/birds7020033
6085. A novel spatiotemporal melt factor framework for quantifying snow and glacier melt in alpine basins V. Shishodia et al. https://doi.org/10.1080/02626667.2026.2691259
6086. The DARA-PROBA3 radiometer: results from the pre-flight calibration campaign J. Montillet et al. https://doi.org/10.1088/1681-7575/ae6342
6087. Warming-induced soil moisture stress threatens food security in India R. Kashyap & J. Kuttippurath https://doi.org/10.1007/s11356-024-35107-7
6088. Ambient temperature and female infertility prevalence: an ecological study based on the 2019 global burden of disease study J. Qian et al. https://doi.org/10.1186/s12958-025-01365-4
6089. Weakened amplitude and delayed phase of the future temperature seasonal cycle over China during the twenty‐first century D. Hu et al. https://doi.org/10.1002/joc.7634
6090. CMIP6-D&A: An R-based software with GUI for processing climate data available in network common data format M. Abdollahi et al. https://doi.org/10.1016/j.softx.2022.101044
6091. Future changes of drought characteristics in Coupled Model Intercomparison Project phase 6 Shared Socioeconomic Pathway scenarios over Central Asia H. Guo et al. https://doi.org/10.1002/joc.7450
6092. Nonlinear El Niño impacts on the global economy under climate change Y. Liu et al. https://doi.org/10.1038/s41467-023-41551-9
6093. South Asian summer monsoon enhanced by the uplift of the Iranian Plateau in Middle Miocene M. Zuo et al. https://doi.org/10.5194/cp-20-1817-2024
6094. Substantial regional climate change expected following cessation of CO2 emissions A. MacDougall et al. https://doi.org/10.1088/1748-9326/ac9f59
6095. The convolutional neural network for Pacific decadal oscillation forecast N. Skanupong et al. https://doi.org/10.1088/1748-9326/ad8be2
6096. Inter-model diversity and Its Drivers in Southern Ocean Meridional Overturning Circulation S. Park et al. https://doi.org/10.1038/s41612-025-01258-8
6097. Earth System Model of the Institute of Atmospheric Physics, Russian Acadeny of Sciences: Structure and Major Results A. Eliseev et al. https://doi.org/10.1134/S0001433825700069
6098. Increased resolution can reduce model biases in the Interdecadal Pacific Oscillation B. Pang et al. https://doi.org/10.1088/1748-9326/ade45a
6099. Eccentric orbits may enhance the habitability of Earth-like exoplanets B. Liu et al. https://doi.org/10.1093/mnras/stae1758
6100. The role of the Near East surface pressure variations in recent past trends of wet season precipitation in the Levant S. Krichak & P. Alpert https://doi.org/10.1002/joc.7632
6101. Natural Fluxes of Greenhouse Gases in the Northern Hemisphere from the CMIP6 Ensemble of Models and Their Contribution to Climate Change in the 21st Century S. Denisov et al. https://doi.org/10.1134/S0001433824700889
6102. Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model M. Feng et al. https://doi.org/10.3389/fclim.2022.925068
6103. Simulation of heat-induced spikelet sterility in rice and evaluation of adaptation options under historical and projected meteorological conditions in Japan Y. Toda et al. https://doi.org/10.1016/j.fcr.2026.110519
6104. Constraining high-emission future West African monsoon with physics-weighted deep learning ensembles A. Tamoffo et al. https://doi.org/10.1038/s43247-026-03839-8
6105. Evaluation of the interannual variability in the East Asian summer monsoon in AMIP and historical experiments of CAS FGOALS-f3-L X. Zhang et al. https://doi.org/10.1016/j.aosl.2022.100275
6106. The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations J. Jungclaus et al. https://doi.org/10.5194/gmd-10-4005-2017
6107. Climate-driven synchronization of solar extremes threatens the resilience of Africa’s regional power pool P. Adigun et al. https://doi.org/10.1038/s44406-026-00027-7
6108. ENSO-driven climatic and vegetation changes in Amazonia by the end of the century D. Petrova et al. https://doi.org/10.1088/1748-9326/aea585
6109. Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. https://doi.org/10.1029/2023EF003741
6110. Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. https://doi.org/10.1080/02626667.2023.2201450
6111. Global models predict clouds at the wrong time of day: Does it matter for radiation and climate? T. Aerenson et al. https://doi.org/10.1126/sciadv.ady3236
6112. Human influences on spatially compounding flooding and heatwave events in China and future increasing risks C. Qian et al. https://doi.org/10.1016/j.wace.2023.100616
6113. Mitigating undercooling and overheating risk in existing desert schools under current and future climate using validated building simulation model F. Baba et al. https://doi.org/10.1016/j.buildenv.2023.110871
6114. Increase in seasonal precipitation over the Tibetan Plateau in the 21st century projected using CMIP6 models R. Chen et al. https://doi.org/10.1016/j.atmosres.2022.106306
6115. Tropical Cyclone Activities in Warm Climate with Quadrupled CO2 Concentration Simulated by a New General Circulation Model C. Song et al. https://doi.org/10.1029/2019JD032314
6116. Asian monsoon projection with a new large-scale monsoon definition X. Dai et al. https://doi.org/10.1007/s00704-021-03866-9
6117. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
6118. Human-induced climate change has decreased wheat production in northern Kazakhstan P. Romanovska et al. https://doi.org/10.1088/2752-5295/ad53f7
6119. Future projections of compound temperature and precipitation extremes and disparate Exposure Among vulnerable populations C. Wang & J. Meng https://doi.org/10.1016/j.apgeog.2026.104142
6120. Gridded value-added of primary, secondary and tertiary industries in China under Shard Socioeconomic Pathways C. Jing et al. https://doi.org/10.1038/s41597-022-01440-0
6121. Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors B. Jian et al. https://doi.org/10.5194/acp-21-9809-2021
6122. Projection of the diurnal temperature range over Africa based on CMIP6 simulations H. Babaousmail et al. https://doi.org/10.1016/j.jafrearsci.2023.104883
6123. Levelized cost of energy for various floating offshore wind farm designs in the areas covered by the Spanish maritime spatial planning B. Thomas et al. https://doi.org/10.1016/j.apenergy.2024.125165
6124. Assessing rainfall-induced shallow landslides under climate change: A slope-specific probabilistic framework in Lishui, Southeast China Z. He et al. https://doi.org/10.1016/j.jrmge.2026.05.036
6125. An Overview of CMIP5 and CMIP6 Simulated Cloud Ice, Radiation Fields, Surface Wind Stress, Sea Surface Temperatures, and Precipitation Over Tropical and Subtropical Oceans J. Li et al. https://doi.org/10.1029/2020JD032848
6126. A study of reanalysis characteristics and evaluation of interdecadal variation of the intensity of South China Sea Summer Monsoon in the early 1990s Z. Zheng et al. https://doi.org/10.1007/s00382-023-07080-3
6127. Investigations on the anthropogenic reversal of the natural ozone gradient between northern and southern midlatitudes D. Parrish et al. https://doi.org/10.5194/acp-21-9669-2021
6128. Rejoinder to the discussion on “A combined estimate of global temperature” P. Craigmile & P. Guttorp https://doi.org/10.1002/env.2725
6129. Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging S. Jewson et al. https://doi.org/10.5194/npg-28-329-2021
6130. Understanding the impact of climate change on future climate extremes in the Gandak River Basin: A multi-model ensemble-based analysis A. Jha et al. https://doi.org/10.1016/j.pce.2025.104049
6131. Exploring the impact of a frontal ablation parameterization on projected 21st-century mass change for Northern Hemisphere glaciers J. Malles et al. https://doi.org/10.1017/jog.2023.19
6132. Impact of the CMIP6 Model Resolution on the Future Behaviour of Wind‐Driven Wave Climate for the North Indian Ocean A. Krishnan & S. Neetu https://doi.org/10.1002/joc.8842
6133. Less negative impacts of climate change on crop yields in West Africa in the new CMIP6 climate simulations ensemble B. Sultan et al. https://doi.org/10.1371/journal.pclm.0000263
6134. Detection, attribution and projection of changes in the extreme temperature range in the Northern Hemisphere X. Feng & C. Qian https://doi.org/10.1016/j.accre.2024.10.006
6135. The disappearing quasi-biennial oscillation under sustained global warming F. Luo et al. https://doi.org/10.1038/s41467-026-68922-2
6136. Resolution dependence and biases in cold and warm frontal heavy precipitation over Europe in CMIP6 and EURO-CORDEX models A. Schaffer et al. https://doi.org/10.5194/wcd-6-1815-2025
6137. The generation of gridded emissions data for CMIP6 L. Feng et al. https://doi.org/10.5194/gmd-13-461-2020
6138. Impact of Climate Change on the Habitat Suitability of Monochamus saltuarius Gebler (Coleoptera; Cerambycidae) and Its Natural Enemies in China X. Zhang et al. https://doi.org/10.3390/f15010033
6139. Interdecadal Pacific Variability dominated the decadal variation of cold season precipitation in arid West Asia S. Ma et al. https://doi.org/10.1016/j.atmosres.2023.106730
6140. Dynamical Seasonal Prediction of Tropical Cyclone Activity Using the FGOALS-f2 Ensemble Prediction System J. Li et al. https://doi.org/10.1175/WAF-D-20-0189.1
6141. Future changes in population exposure to intensified heatwaves over three major urban agglomerations in China based on excess heat factor Q. Zhou et al. https://doi.org/10.1016/j.accre.2024.12.009
6142. Global patterns of rain-on-snow and its impacts on runoff from past to future projections F. Maina & S. Kumar https://doi.org/10.1038/s41467-025-59855-3
6143. Climate change-driven northward expansion of the mediterranean orchid Ophrys apifera from genetic and ecological perspectives A. Naczk et al. https://doi.org/10.1038/s41598-025-15167-6
6144. Hourly water-carbon interactions modulate decadal water-use efficiency trends inferred from ecosystem-scale measurements K. Chang et al. https://doi.org/10.1016/j.agrformet.2022.109158
6145. Anthropogenic impacts on twentieth-century ENSO variability changes W. Cai et al. https://doi.org/10.1038/s43017-023-00427-8
6146. Projections of an ice-free Arctic Ocean A. Jahn et al. https://doi.org/10.1038/s43017-023-00515-9
6147. Global changes in extreme tropical cyclone wave heights under projected future climate conditions G. Grossmann-Matheson et al. https://doi.org/10.1038/s41598-024-82892-9
6148. Predicting climate-driven distribution shifts in Hyalomma marginatum (Ixodidae) O. Hekimoglu et al. https://doi.org/10.1017/S0031182023000689
6149. Spatiotemporal changes in offshore wind energy availability and stability in the China sea and adjacent waters under climate change J. Meng & Z. Zheng https://doi.org/10.1016/j.jclepro.2026.149281
6150. Meridional Oceanic and Atmospheric Heat Fluxes at the Entrance to the Atlantic Sector of the Arctic: Verification of CMIP6 Models and Climate Projections Based on the Selected Sub-Ensembles M. Latonin et al. https://doi.org/10.2205/2024ES000917
6151. Representation by two climate models of the dynamical and diabatic processes involved in the development of an explosively deepening cyclone during NAWDEX D. Flack et al. https://doi.org/10.5194/wcd-2-233-2021
6152. Climate change impact on streamflow and suspended sediment load in the flood-prone river basin R. Ranjan & A. Mishra https://doi.org/10.2166/wcc.2023.037
6153. Climate change impacts on photovoltaic solar energy production in Portugal D. Carvalho et al. https://doi.org/10.1016/j.egycc.2026.100235
6154. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. https://doi.org/10.1038/s41467-022-28816-5
6155. The emerging human influence on the seasonal cycle of sea surface temperature J. Shi et al. https://doi.org/10.1038/s41558-024-01958-8
6156. Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al. https://doi.org/10.1029/2019JD032321
6157. Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China T. Zhang et al. https://doi.org/10.1088/1748-9326/ac79c1
6158. The hydrogen-water collision: Assessing water and cooling demands for large-scale green hydrogen production in a warming climate P. Ellersdorfer et al. https://doi.org/10.1016/j.ijhydene.2024.11.381
6159. Basin-scale heterogeneity in Antarctic precipitation and its impact on surface mass variability J. Fyke et al. https://doi.org/10.5194/tc-11-2595-2017
6160. Drivers of the enhanced decline of land near-surface relative humidity to abrupt 4xCO2 in CNRM-CM6-1 H. Douville et al. https://doi.org/10.1007/s00382-020-05351-x
6161. Fire carbon emissions over Equatorial Asia reduced by shortened dry seasons S. Wang et al. https://doi.org/10.1038/s41612-023-00455-7
6162. 2024 global temperature record is consistent with model-predicted warming M. Mann et al. https://doi.org/10.1073/pnas.2600021123
6163. Development of a plant carbon–nitrogen interface coupling framework in a coupled biophysical-ecosystem–biogeochemical model (SSiB5/TRIFFID/DayCent-SOM v1.0) Z. Xiang et al. https://doi.org/10.5194/gmd-17-6437-2024
6164. Temporal and spatial aggregation of rainfall extremes over India under anthropogenic warming G. Konda et al. https://doi.org/10.1038/s41598-024-63417-w
6165. Towards improved and more routine Earth system model evaluation in CMIP V. Eyring et al. https://doi.org/10.5194/esd-7-813-2016
6166. Impact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models E. Tsartsali et al. https://doi.org/10.1007/s00382-021-06098-9
6167. Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. https://doi.org/10.5194/gmd-13-3817-2020
6168. Performance evaluation and ranking of CMIP6 global climate models over upper blue nile (abbay) basin of Ethiopia J. Mohammed https://doi.org/10.1016/j.nhres.2024.06.004
6169. Roles of External Forcing and Internal Variability in Precipitation Changes of a Sub‐Region of the U.S. Mid‐Atlantic During 1979–2019 L. Dong & L. Leung https://doi.org/10.1029/2022JD037493
6170. Rainfall Projections from Coupled Model Intercomparison Project Phase 6 in the Volta River Basin: Implications on Achieving Sustainable Development S. Dotse et al. https://doi.org/10.3390/su15021472
6171. Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. https://doi.org/10.5194/gmd-14-43-2021
6172. Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios L. Liu et al. https://doi.org/10.1007/s11356-021-17338-0
6173. The greater role of Southern Ocean warming compared to Arctic Ocean warming in shifting future tropical rainfall patterns H. Jeong et al. https://doi.org/10.1038/s41467-025-57654-4
6174. Dependence of Europe's most threatened mammals on movement to adapt to climate change D. Alagador https://doi.org/10.1111/cobi.14315
6175. Faster dieback of rainforests altering tropical carbon sinks under climate change D. Nath et al. https://doi.org/10.1038/s41612-024-00793-0
6176. Anthropogenic warming is a key climate indicator of rising urban fire activity in China Q. Yao et al. https://doi.org/10.1093/nsr/nwae163
6177. Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model H. Wang et al. https://doi.org/10.1029/2022MS003174
6178. Mediterranean viticulture in the context of climate change L. Dinis et al. https://doi.org/10.1051/ctv/ctv20223702139
6179. Multiscale causes of the 2022 Yangtze mega-flash drought under climate change X. Yuan et al. https://doi.org/10.1007/s11430-024-1356-x
6180. The CUISINES Framework for Conducting Exoplanet Model Intercomparison Projects, Version 1.0 L. Sohl et al. https://doi.org/10.3847/PSJ/ad5830
6181. A framework for estuarine future sea-level scenarios: Response of the industrialised Elbe estuary to projected mean sea level rise and internal variability J. Pein et al. https://doi.org/10.3389/fmars.2023.1102485
6182. Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China P. Wang et al. https://doi.org/10.3390/land12091770
6183. Habitat shifts of Jatropha curcas L. in the Asia-Pacific region under climate change scenarios G. Liu & J. Mai https://doi.org/10.1016/j.energy.2022.123885
6184. Projections of future tropical cyclone landfalling activity in the East Asia region K. Liu et al. https://doi.org/10.1016/j.tcrr.2024.11.004
6185. Multi-Model Analyses of Spatiotemporal Variations of Water Resources in Central Asia Y. Zhao et al. https://doi.org/10.3390/w17162423
6186. DeepMelt-GL v1: a neural network emulator of sub-shelf melt rates for the unrepresented regions of ice-shelf cavities in ocean models H. Ockenden et al. https://doi.org/10.5194/gmd-19-7979-2026
6187. Using habitat suitability modeling to integrate ecosystem‐based approaches for mangrove restoration site selection R. Jaffé et al. https://doi.org/10.1002/ecs2.70222
6188. Global Connectivity of Southern Ocean Ecosystems E. Murphy et al. https://doi.org/10.3389/fevo.2021.624451
6189. Widespread global exacerbation of extreme drought induced by urbanization S. Huang et al. https://doi.org/10.1038/s44284-024-00102-z
6190. Projection of glacier changes over the Laohugou Glacier No. 12, Northeast Tibetan Plateau, China from 2020 to 2100 M. Liu et al. https://doi.org/10.1016/j.ejrh.2024.102089
6191. Divergent responses of historic rain-on-snow flood extremes to a warmer climate D. Hao et al. https://doi.org/10.1038/s43247-025-02354-6
6192. Sensitivity analysis of the land surface model with respect to the specification, spatial resolution, and aggregation of soil hydrophysical characteristics in Siberian ecosystems A. Ryazanova & V. Bogomolov https://doi.org/10.1007/s00382-026-08129-9
6193. Robust Acceleration of Stratospheric Moistening and Its Radiative Feedback Under Greenhouse Warming Y. Xia et al. https://doi.org/10.1029/2020JD033090
6194. Contributions of external forcing and internal variability to the multidecadal warming rate of East Asia in the present and future climate D. Jeong et al. https://doi.org/10.1038/s41612-024-00573-w
6195. Hourly temporal downscaling of CMIP6 data for photovoltaic energy modelling under climate change: A case study for Portugal P. Montesino Fernández et al. https://doi.org/10.1016/j.ecmx.2026.101944
6196. Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. https://doi.org/10.1029/2019GL083031
6197. Warming‐Induced Shifts in Relative Humidity Reshape Global Soil Organic Carbon Storage L. Li et al. https://doi.org/10.1002/gcb4.70038
6198. Contrasting SST modes explain decadal intensification of Pacific Walker Circulation X. Li et al. https://doi.org/10.1016/j.atmosres.2026.109338
6199. Assessing the Relationship Between Extreme Precipitation, ENSO and IOD During the Indian Summer Monsoon Using CMIP6 Simulations M. Nair et al. https://doi.org/10.1007/s00024-025-03818-8
6200. Comparison of Relative and Absolute Heatwaves in Eastern China: Observations, Simulations and Future Projections H. Xu & G. Zhang https://doi.org/10.3390/atmos13050649
6201. Anthropogenic Influence on Decadal Changes in Concurrent Hot and Dry Events over China around the Mid-1990s Q. Su et al. https://doi.org/10.1007/s00376-023-2319-z
6202. Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. https://doi.org/10.1007/s40641-021-00178-y
6203. Data-driven discovery of mechanisms underlying present and near-future precipitation changes and variability in Brazil M. Marques et al. https://doi.org/10.5194/wcd-6-757-2025
6204. Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models C. Wang et al. https://doi.org/10.1029/2020GL091024
6205. Projected changes in mean annual cycle of temperature and precipitation over the Czech Republic: Comparison of CMIP5 and CMIP6 E. Holtanová et al. https://doi.org/10.3389/feart.2022.1018661
6206. OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project S. Griffies et al. https://doi.org/10.5194/gmd-9-3231-2016
6207. Delayed impacts of North Pacific Oscillation on wintertime surface air temperature in East Asia S. Kim & J. Yoo https://doi.org/10.1007/s00382-025-07828-z
6208. Brief communication: CESM2 climate forcing (1950–2014) yields realistic Greenland ice sheet surface mass balance B. Noël et al. https://doi.org/10.5194/tc-14-1425-2020
6209. Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter N. Albern et al. https://doi.org/10.1088/1748-9326/ac13f0
6210. Spatial compounding of droughts and hot extremes across southwest and east China resulting from energy linkages B. Lv et al. https://doi.org/10.1016/j.jhydrol.2024.130827
6211. Uncertainty in Projected Changes in Precipitation Minus Evaporation: Dominant Role of Dynamic Circulation Changes and Weak Role for Thermodynamic Changes E. Elbaum et al. https://doi.org/10.1029/2022GL097725
6212. Evaluation of CMIP6 models toward dynamical downscaling over 14 CORDEX domains M. Zhang et al. https://doi.org/10.1007/s00382-022-06355-5
6213. The global climate response to High-Latitude Low-Altitude Stratospheric Aerosol Injection (HiLLA-SAI) A. Duffey et al. https://doi.org/10.5194/esd-17-353-2026
6214. Variations in Eurasian surface air temperature over multiple timescales and their possible causes L. Qiao et al. https://doi.org/10.1002/joc.7504
6215. Projection of extreme precipitation in the Minjiang River Basin, Southeast China X. Li et al. https://doi.org/10.2166/wcc.2022.145
6216. Stratification and overturning circulation are intertwined controls on ocean heat uptake efficiency in climate models L. Vogt et al. https://doi.org/10.5194/os-21-1081-2025
6217. The role of residential air circulation and cooling demand for electrification planning: Implications of climate change in sub-Saharan Africa G. Falchetta & M. Mistry https://doi.org/10.1016/j.eneco.2021.105307
6218. Irreversible glacier change and trough water for centuries after overshooting 1.5 °C L. Schuster et al. https://doi.org/10.1038/s41558-025-02318-w
6219. CAM6 simulation of mean and extreme precipitation over Asia: sensitivity to upgraded physical parameterizations and higher horizontal resolution L. Lin et al. https://doi.org/10.5194/gmd-12-3773-2019
6220. Atlantic multidecadal variability amplifies decadal variability in the Kuroshio–Oyashio Extension region under global warming Y. Wang et al. https://doi.org/10.1038/s43247-026-03750-2
6221. Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models Y. Li et al. https://doi.org/10.3389/fmars.2023.1145509
6222. Combining CMIP data with a regional convection-permitting model and observations to project extreme rainfall under climate change C. Klein et al. https://doi.org/10.1088/1748-9326/ac26f1
6223. Global projections of flash drought show increased risk in a warming climate J. Christian et al. https://doi.org/10.1038/s43247-023-00826-1
6224. Evaluating the response and adaptation of urban stormwater systems to changed rainfall with the CMIP6 projections Y. Yao et al. https://doi.org/10.1016/j.jenvman.2023.119135
6225. Tracking the impacts of precipitation phase changes through the hydrologic cycle in snowy regions: From precipitation to reservoir storage M. Wrzesien et al. https://doi.org/10.3389/feart.2022.995874
6226. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. https://doi.org/10.5194/esd-11-1233-2020
6227. Uncertainty in Projected Critical Soil Moisture Values in CMIP6 Affects the Interpretation of a More Moisture‐Limited World H. Hsu & P. Dirmeyer https://doi.org/10.1029/2023EF003511
6228. Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model G. Fuglstad & S. Castruccio https://doi.org/10.1214/20-AOAS1340
6229. Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand N. Arunrat et al. https://doi.org/10.1016/j.scitotenv.2021.150741
6230. Climate response to the spatial and temporal evolutions of anthropogenic aerosol forcing H. Wang & Y. Wen https://doi.org/10.1007/s00382-021-06059-2
6231. Future Antarctic amplification from extreme temperature indices for different socioeconomic scenarios and time periods J. Zhu et al. https://doi.org/10.1071/ES24009
6232. Oceanic mesoscale eddies as crucial drivers of global marine heatwaves C. Bian et al. https://doi.org/10.1038/s41467-023-38811-z
6233. Emerging Changes in Terrestrial Water Storage Variability as a Target for Future Satellite Gravity Missions L. Jensen et al. https://doi.org/10.3390/rs12233898
6234. Decadal prediction of Northeast Asian winter precipitation with CMIP6 models X. Xin et al. https://doi.org/10.1007/s00382-023-07063-4
6235. Future Global Convective Environments in CMIP6 Models C. Lepore et al. https://doi.org/10.1029/2021EF002277
6236. Projected Changes in Maize Cultivation Suitability Under Climate Change in the TR21 Thrace Region (Türkiye) H. Deveci https://doi.org/10.3390/agriculture16161758
6237. The Effects of Climate Change on Meteorological and Hydrological Drought in the Harşit River Basin (Türkiye) G. Demiral et al. https://doi.org/10.54365/adyumbd.1963232
6238. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. https://doi.org/10.5194/esd-12-1191-2021
6239. Increased variability of the western Pacific subtropical high under greenhouse warming K. Yang et al. https://doi.org/10.1073/pnas.2120335119
6240. Integrating CMIP6 and Remote Sensing Datasets for Current and Future Flood Susceptibility Projections Using Machine Learning Under Climate Change Scenarios in Demak District for Future Sustainable Planning A. Verdyansyah et al. https://doi.org/10.3390/su17188188
6241. Increased U.S. coastal hurricane risk under climate change K. Balaguru et al. https://doi.org/10.1126/sciadv.adf0259
6242. Assessing urban drainage pressure and impacts of future climate change based on shared socioeconomic pathways Y. Li et al. https://doi.org/10.1016/j.ejrh.2024.101760
6243. Madden–Julian oscillation changes under anthropogenic warming E. Maloney et al. https://doi.org/10.1038/s41558-018-0331-6
6244. Amplified local cooling effect of forestation in warming Europe Y. Li et al. https://doi.org/10.1038/s41467-025-63556-2
6245. Asia Faces a Growing Threat From Intraseasonal Compound Weather Whiplash B. Fang & M. Lu https://doi.org/10.1029/2022EF003111
6246. Near future flash flood prediction in an arid region under climate change G. Al-Rawas et al. https://doi.org/10.1038/s41598-024-76232-0
6247. Assessment of flood risk based on CMIP6 for the Northern foothills of Qinling mountain A. Ahmed et al. https://doi.org/10.1007/s00704-025-05464-5
6248. Future projections of China runoff changes based on CMIP6 and deep learning X. Wei et al. https://doi.org/10.1016/j.ejrh.2025.102998
6249. Past and future terrestrial water storage changes in the lower Mekong River basin: The influences of climatic and non-climatic factors J. Xiong et al. https://doi.org/10.1016/j.jhydrol.2022.128275
6250. Projected changes in temperature, precipitation and potential evapotranspiration across Indus River Basin at 1.5–3.0 °C warming levels using CMIP6-GCMs S. Mondal et al. https://doi.org/10.1016/j.scitotenv.2021.147867
6251. Combining distribution‐based neural networks to predict weather forecast probabilities M. Clare et al. https://doi.org/10.1002/qj.4180
6252. How many hot days and heavy precipitation days will grandchildren experience that break the records set in their grandparents’ lives? H. Shiogama et al. https://doi.org/10.1088/2515-7620/ac0395
6253. Association of ambient temperatures with suicide attempts and violence with the future projections under climate change scenarios: a nationwide time-stratified case-crossover study in South Korea J. Park et al. https://doi.org/10.1186/s12889-025-21660-4
6254. Probabilistic long-term forecasting of solar irradiance under climate change using deep learning and Monte Carlo simulations K. Saidani et al. https://doi.org/10.1016/j.esr.2026.102176
6255. Groundwater Level Fluctuations in Coastal Aquifer: Using Artificial Neural Networks to Predict the Impacts of Climatical CMIP6 Scenarios A. Roshani & M. Hamidi https://doi.org/10.1007/s11269-022-03204-2
6256. A novel approach for air quality trend studies and its application to european urban environments: The ICARUS project I. Sakellaris et al. https://doi.org/10.1016/j.atmosenv.2022.118973
6257. Progress and future prospects of decadal prediction and data assimilation: A review W. Zhou et al. https://doi.org/10.1016/j.aosl.2023.100441
6258. A model intercomparison of Titan's climate and low-latitude environment J. Lora et al. https://doi.org/10.1016/j.icarus.2019.05.031
6259. A hydrological model to assess current and future freshwater availability: application to climate change impacts on hydrology in the Amazon River Basin through mid-century S. Santos da Silva et al. https://doi.org/10.1016/j.jhydrol.2025.134473
6260. Historical evolution and future trend of Northern Hemisphere snow cover in CMIP5 and CMIP6 models X. Zhu et al. https://doi.org/10.1088/1748-9326/ac0662
6261. Assessment of CMIP6 Cloud Fraction and Comparison with Satellite Observations P. Vignesh et al. https://doi.org/10.1029/2019EA000975
6262. Transition from multi-year La Niña to strong El Niño rare but increased under global warming F. Jia et al. https://doi.org/10.1016/j.scib.2024.12.034
6263. Future projections of monsoon droughts in Tamil Nadu using the Standardized Precipitation Index B. Santhoshkumar et al. https://doi.org/10.1016/j.jastp.2026.106783
6264. Twenty-five years of the IPCC Data Distribution Centre at the DKRZ and the Reference Data Archive for CMIP data M. Stockhause & M. Lautenschlager https://doi.org/10.5194/gmd-15-6047-2022
6265. Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective Y. Yan et al. https://doi.org/10.3390/rs14164033
6266. A Model of the Sea–Land Transition of the Mean Wind Profile in the Tropical Cyclone Boundary Layer Considering Climate Changes J. Wang et al. https://doi.org/10.1007/s13753-023-00488-9
6267. The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al. https://doi.org/10.5194/gmd-16-3953-2023
6268. Declining anthropogenic aerosols amplify Northern Hemisphere Hadley circulation weakening in the 21st century S. Kim et al. https://doi.org/10.1038/s41467-026-69990-0
6269. Sensitivity of the simulated atmospheric rivers over East Asia to horizontal resolution in the HadGEM3-GC3.1 general circulation model J. Liang & Y. Yong https://doi.org/10.1016/j.atmosres.2022.106244
6270. The future of the past: How fog and humidity modulate the climate vulnerability of Iberian laurissilva relict Prunus lusitanica L. G. Ferreiro-Lera et al. https://doi.org/10.1016/j.jenvman.2026.129693
6271. Precipitation efficiency constraint on climate change R. Li et al. https://doi.org/10.1038/s41558-022-01400-x
6272. Variation of Runoff and Runoff Components of the Lhasa River Basin in the Qinghai-Tibet Plateau under Climate Change X. Xiang et al. https://doi.org/10.3390/atmos13111848
6273. Future Changes in Global Runoff and Runoff Coefficient From CMIP6 Multi‐Model Simulation Under SSP1‐2.6 and SSP5‐8.5 Scenarios A. Wang et al. https://doi.org/10.1029/2022EF002910
6274. Projections of the start of the airborne pollen season in Barcelona (NE Iberian Peninsula) over the 21st century M. Alarcón et al. https://doi.org/10.1016/j.scitotenv.2024.173363
6275. Increasing Health Risks During Outdoor Sports Due To Climate Change in Texas: Projections Versus Attitudes S. Dee et al. https://doi.org/10.1029/2022GH000595
6276. Regionally aggregated, stitched and de‐drifted CMIP‐climate data, processed with netCDF‐SCM v2.0.0 Z. Nicholls et al. https://doi.org/10.1002/gdj3.113
6277. Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios C. Koven et al. https://doi.org/10.5194/esd-13-885-2022
6278. Diverging Northern Hemisphere Trends in Meteorological Versus Ecological Indicators of Spring Onset in CMIP6 X. Li et al. https://doi.org/10.1029/2023GL102833
6279. Topographically channeled ocean-atmosphere coupling in the southern Caribbean and summer climate variability M. Jury https://doi.org/10.3354/cr01733
6280. An integrated agent-based simulation modeling framework for sustainable production of an Agrophotovoltaic system Y. Kim et al. https://doi.org/10.1016/j.jclepro.2023.138307
6281. Detailing cloud property feedbacks with a regime-based decomposition M. Zelinka et al. https://doi.org/10.1007/s00382-022-06488-7
6282. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990–2015 G. Myhre et al. https://doi.org/10.5194/acp-17-2709-2017
6283. Discovering causal relations and equations from data G. Camps-Valls et al. https://doi.org/10.1016/j.physrep.2023.10.005
6284. Fine-scale assessment of projected future changes in weather and climate extremes in the Chesapeake Bay watershed of the Mid-Atlantic United States R. Karki et al. https://doi.org/10.1007/s00704-025-05564-2
6285. A Cloudier Picture of Ice-Albedo Feedback in CMIP6 Models A. Sledd & T. L’Ecuyer https://doi.org/10.3389/feart.2021.769844
6286. Structure of the Atlantic Meridional Overturning Circulation in Three Generations of Climate Models F. Wang et al. https://doi.org/10.1029/2023EA002887
6287. Ocean stratification in a warming climate L. Cheng et al. https://doi.org/10.1038/s43017-025-00715-5
6288. Future trend of lightning activity over the Tibetan Plateau under global warming Z. Huang et al. https://doi.org/10.1016/j.atmosres.2025.108622
6289. Effects of climate change on Platanus flowering in Western Mediterranean cities: Current trends and future projections A. Picornell et al. https://doi.org/10.1016/j.scitotenv.2023.167800
6290. An Ecoregional Conservation Assessment for the Klamath-Siskiyou Ecoregion and Proposed Siskiyou Crest Climate Refuge, Southwest Oregon and Northern California, USA D. DellaSala et al. https://doi.org/10.3390/d18070415
6291. Climate-Informed Conservation and Restoration Priorities for High-Andean Polylepis Forests Under Climate Change S. Mantilla-Valdivia et al. https://doi.org/10.3390/f17080894
6292. Global patterns and edaphic-climatic controls of soil carbon decomposition kinetics predicted from incubation experiments D. Xiang et al. https://doi.org/10.1038/s41467-023-37900-3
6293. Why super sandstorm 2021 in North China? Z. Yin et al. https://doi.org/10.1093/nsr/nwab165
6294. The future of offshore wind power production: Wake and climate impacts S. Warder & M. Piggott https://doi.org/10.1016/j.apenergy.2024.124956
6295. Climate-driven shifts in narrow-barred Spanish mackerel ( Scomberomorus commerson ) distribution in the Taiwan Strait: Insights from remote sensing oceanography S. Mondal et al. https://doi.org/10.1080/01431161.2025.2545639
6296. FIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project Q. Shu et al. https://doi.org/10.1007/s13131-022-2000-x
6297. Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models H. Zheng et al. https://doi.org/10.1016/j.jhydrol.2024.131286
6298. Assessing the escalating human-perceived heatwaves in a warming world: The case of China J. Zhang et al. https://doi.org/10.1016/j.wace.2024.100643
6299. Climate change impacts on hydrology and phosphorus loads under projected global warming levels for the Lake of the Woods watershed P. Fong et al. https://doi.org/10.1016/j.jglr.2025.102636
6300. Global climate modeling with improved precipitation characteristics by learning physics (GRIST-MPS v1.0) from global storm-resolving modeling Y. Wang et al. https://doi.org/10.5194/gmd-19-5553-2026
6301. Comparison of GCMs Under CMIP5 and CMIP6 in Reproducing Observed Precipitation in Ethiopia During Rainy Seasons B. Gobie et al. https://doi.org/10.1007/s41748-024-00394-0
6302. Intercomparison and validation of first GLORIA-B measurements of stratospheric and upper tropospheric long-lived tracers and photochemically active species G. Wetzel et al. https://doi.org/10.5194/amt-18-5873-2025
6303. Probabilistic Ensemble Evaluation of Changes in the Characteristics of Rare Temperature Maxima over Russia in the 21st Century E. Khlebnikova & Y. Rudakova https://doi.org/10.3103/S1068373925090092
6304. Compound effects of long-term and extreme climate on winter wheat yields in arid regions and future predictions: A case study of Xinjiang J. Fang et al. https://doi.org/10.1007/s00382-025-08010-1
6305. Age inequality in temperature-related fall mortality among old people in China in a warming climate Y. Lin et al. https://doi.org/10.1038/s41612-025-00939-8
6306. Evaluation of Historical Snow Cover over the Tibetan Plateau in CMIP6 F. Liu et al. https://doi.org/10.1007/s00376-024-4212-9
6307. The benefits of high-resolution models in simulating the Kuroshio Extension and its long-term changes B. An et al. https://doi.org/10.1007/s00382-023-06862-z
6308. A temperature binning approach for multi-sector climate impact analysis M. Sarofim et al. https://doi.org/10.1007/s10584-021-03048-6
6309. Large regional differences in Antarctic ice shelf mass loss from Southern Ocean warming and meltwater feedbacks M. Muilwijk et al. https://doi.org/10.5194/tc-20-1087-2026
6310. Climate change-resilient snowpack estimation in the Western United States M. Cowherd et al. https://doi.org/10.1038/s43247-024-01496-3
6311. Climate-driven distribution modeling of Glossina fuscipes (Diptera: Glossinidae) in the Afrotropical Region: current patterns, future projections, and implications for presence in the Arabian Peninsula M. El-Hawagry et al. https://doi.org/10.1007/s10661-026-15355-5
6312. Evaluation of historical precipitation interannual variability in CMIP6 over the United States R. Harp et al. https://doi.org/10.1088/2752-5295/ada17c
6313. Persistence of Arctic Ocean acidification under negative emissions E. Köhn et al. https://doi.org/10.1038/s41558-026-02715-9
6314. Subantarctic Mode Water and its long-term change in CMIP6 models Y. Hong et al. https://doi.org/10.1175/JCLI-D-21-0133.1
6315. Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection (ARISE-SAI): protocol and initial results from the first simulations J. Richter et al. https://doi.org/10.5194/gmd-15-8221-2022
6316. Tree species migration to north and expansion in their habitat under future climate: an analysis of eight tree species Khyber Pakhtunkhwa, Pakistan M. Durrani et al. https://doi.org/10.5141/jee.23.082
6317. Evaluation of the Performance of CMIP5 and CMIP6 Models in Simulating the Victoria Mode–El Niño Relationship Z. Wang et al. https://doi.org/10.1175/JCLI-D-20-0927.1
6318. Forcing and impact of the Northern Hemisphere continental snow cover in 1979–2014 G. Gastineau et al. https://doi.org/10.5194/tc-17-2157-2023
6319. A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature W. Hu et al. https://doi.org/10.1002/sta4.431
6320. Future projection of habitat suitability and potential distribution of main European cereal bugs using MaxEnt modelling S. Gibicsár et al. https://doi.org/10.1111/afe.70040
6321. Evaluation of historical CMIP6 model simulations of extreme precipitation over contiguous US regions A. Srivastava et al. https://doi.org/10.1016/j.wace.2020.100268
6322. Constraining CMIP6 Projections of an Ice‐Free Arctic Using a Weighting Scheme J. Zhao et al. https://doi.org/10.1029/2022EF002708
6323. Beyond Suitability: Mapping Current and Projected Conservation Gaps for Three Rare Pheasants in Karst Landscapes of Southwest China J. Wu et al. https://doi.org/10.3390/ani16172753
6324. Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al. https://doi.org/10.3389/feart.2022.786223
6325. Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves A. Machard et al. https://doi.org/10.1038/s41597-024-03319-8
6326. Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model J. Ono et al. https://doi.org/10.1088/2752-5295/ad3fdc
6327. Recurrence of Drought Events Over Iberia. Part II: Future Changes Using Regional Climate Projections J. Moemken et al. https://doi.org/10.16993/tellusa.52
6328. Regional irreversibility of mean and extreme surface air temperature and precipitation in CMIP6 overshoot scenarios associated with interhemispheric temperature asymmetries P. Roldán-Gómez et al. https://doi.org/10.5194/esd-16-1-2025
6329. Five years of whole-soil warming led to loss of subsoil carbon stocks and increased CO 2 efflux J. Soong et al. https://doi.org/10.1126/sciadv.abd1343
6330. Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends I. Richter et al. https://doi.org/10.1098/rstb.2021.0487
6331. Evaluation of high-resolution downscaled CMIP6 projections for adaptation to climate extremes in Connecticut M. de Vos et al. https://doi.org/10.1016/j.cliser.2026.100633
6332. Evaluation and Projection of Surface Wind Speed Over China Based on CMIP6 GCMs J. Wu et al. https://doi.org/10.1029/2020JD033611
6333. The Elo rating system as a new narrative for ranking climate models P. Monerie https://doi.org/10.1088/2515-7620/ae661c
6334. Increase in compound dry-warm and wet-warm events under global warming in CMIP6 models Y. Meng et al. https://doi.org/10.1016/j.gloplacha.2022.103773
6335. The impact of non-optimum temperatures, heatwaves and cold spells on out-of-hospital cardiac arrest onset in a changing climate in China: a multi-center, time-stratified, case-crossover study J. Liu et al. https://doi.org/10.1016/j.lanwpc.2023.100778
6336. Impacts of improved horizontal resolutions in the simulations of mean and extreme precipitation using CMIP6 HighResMIP models over West Africa F. Ajibola & S. Afolayan https://doi.org/10.1007/s10661-024-12492-7
6337. Why does stratospheric aerosol forcing strongly cool the warm pool? M. Günther et al. https://doi.org/10.5194/acp-24-7203-2024
6338. Ecological niche model transferability of the white star apple (Chrysophyllum albidum G. Don) in the context of climate and global changes J. Ganglo https://doi.org/10.1038/s41598-023-29048-3
6339. The role of internal variability and external forcing on southwestern Australian rainfall: prospects for very wet or dry years S. Rauniyar et al. https://doi.org/10.1038/s41598-023-48877-w
6340. A climate suitability index for species distribution modelling applied to terrestrial arthropods in the Mediterranean region J. Ciarlo' et al. https://doi.org/10.5194/esd-16-1391-2025
6341. Projections of cold air outbreaks in CMIP6 earth system models E. Smith & S. Sheridan https://doi.org/10.1007/s10584-021-03259-x
6342. Opposite Responses of the Dry and Moist Eddy Heat Transport Into the Arctic in the PAMIP Experiments A. Audette et al. https://doi.org/10.1029/2020GL089990
6343. The Global Space-based Stratospheric Aerosol Climatology (version 2.0): 1979–2018 M. Kovilakam et al. https://doi.org/10.5194/essd-12-2607-2020
6344. The benefits of increasing resolution in global and regional climate simulations for European climate extremes C. Iles et al. https://doi.org/10.5194/gmd-13-5583-2020
6345. How well the bias-corrected CMIP6 models assess the extreme precipitation indices over India? B. Vinodhkumar et al. https://doi.org/10.1007/s40808-024-02261-3
6346. Machine Learning in Climate Downscaling: A Critical Review of Methodologies, Physical Consistency, and Operational Applications H. Najafi et al. https://doi.org/10.3390/w18020271
6347. Comparing traditional hydrological forecasting models with CatBoost algorithm: insights from CMIP6 climate scenarios Ş. Şebcioğlu Mutlu et al. https://doi.org/10.2166/wcc.2025.775
6348. High-resolution dynamical downscaling of ERA-Interim temperature and precipitation using WRF model for Greece N. Politi et al. https://doi.org/10.1007/s00382-021-05741-9
6349. Lessons learnt from a real-time attribution and contextualisation trial in a National Meteorological and Hydrological Service P. Hope et al. https://doi.org/10.1088/2752-5295/ad7da8
6350. Climate Change Estimates Surpass Rates of Climatic Niche Evolution in Primates A. Meyer & M. Pie https://doi.org/10.1007/s10764-021-00253-z
6351. The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. https://doi.org/10.1088/1748-9326/ad5b09
6352. Deep learning-based spatial downscaling and its application for tropical cyclone detection in the western North Pacific A. Chen & C. Yuan https://doi.org/10.3389/feart.2024.1345714
6353. Assessment of historical and projected spatiotemporal meteorological drought across climate zones of Wabi Shebele River basin, Ethiopia G. Tarafa et al. https://doi.org/10.1016/j.htopen.2026.100027
6354. Effects of Climate Change on Wheat Yield and Nitrogen Losses per Unit of Yield in the Middle and Lower Reaches of the Yangtze River in China Y. Zhou et al. https://doi.org/10.3390/atmos14050824
6355. Evaluation and projection of mean surface temperature using CMIP6 models over East Africa B. Ayugi et al. https://doi.org/10.1016/j.jafrearsci.2021.104226
6356. How could climate change affect the magnitude, duration and frequency of hydrological droughts and floods in West Africa during the 21st century? A storyline approach J. Ekolu et al. https://doi.org/10.1016/j.jhydrol.2025.133482
6357. Spatio-temporal pattern and network evolution of the thermal environment in urban metropolitan area based on SSP-RCP development scenario Q. Zhao et al. https://doi.org/10.1007/s11027-026-10320-6
6358. Dynamics of Widespread Extreme Precipitation Events and the Associated Large-Scale Environment Using AMeDAS and JRA-55 Data R. Shibuya et al. https://doi.org/10.1175/JCLI-D-21-0064.1
6359. An evaluation of CMIP6 historical simulations of the cold season teleconnection between tropical Indo-Pacific sea surface temperatures and precipitation in Southwest Asia, the coastal Middle East, and Northern Pakistan and India M. Barlow et al. https://doi.org/10.1175/JCLI-D-19-1026.1
6360. Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles S. Seneviratne & M. Hauser https://doi.org/10.1029/2019EF001474
6361. Stratospheric water vapor affecting atmospheric circulation E. Charlesworth et al. https://doi.org/10.1038/s41467-023-39559-2
6362. Assessment and projection of elevation-dependent warming over the Tibetan Plateau by CMIP6 models L. Zhu & G. Fan https://doi.org/10.1007/s00704-021-03889-2
6363. Mesoscale Convective Systems Simulated by a High‐Resolution Global Nonhydrostatic Model Over the United States and China Y. Na et al. https://doi.org/10.1029/2021JD035916
6364. Increased wintertime European atmospheric blocking frequencies in General Circulation Models with an eddy-permitting ocean S. Michel et al. https://doi.org/10.1038/s41612-023-00372-9
6365. Ensembles vs. information theory: supporting science under uncertainty G. Nearing & H. Gupta https://doi.org/10.1007/s11707-018-0709-9
6366. Will current protected areas harbor refugia for threatened Arctic vegetation types until 2050? A first assessment M. Reji Chacko et al. https://doi.org/10.1080/15230430.2023.2203478
6367. Enhanced spring precipitation in central Asia induced by ENSO under global warming L. Sun et al. https://doi.org/10.1007/s00382-025-07990-4
6368. Diazotrophy as a key driver of the response of marine net primary productivity to climate change L. Bopp et al. https://doi.org/10.5194/bg-19-4267-2022
6369. climepi: A Python package for modeling climate suitability for vector-borne diseases W. Hart & R. Thompson https://doi.org/10.21105/joss.10099
6370. Global cropland exposure to extreme compound drought heatwave events under future climate change A. Wang et al. https://doi.org/10.1016/j.wace.2023.100559
6371. Thermal bottlenecks in the life cycle define climate vulnerability of fish F. Dahlke et al. https://doi.org/10.1126/science.aaz3658
6372. Projected climate extremes over agro-climatic zones of Ganga River Basin under 1.5, 2, and 3° global warming levels H. Singh et al. https://doi.org/10.1007/s10661-023-11663-2
6373. Past, current and future solar radiation trends in Europe: Multi-source assessment of the role of clouds and aerosols L. Segado-Moreno et al. https://doi.org/10.1016/j.rse.2025.115122
6374. Assessing the performance of CMIP6 climate models and future projections of climate variables over the Amhara National Regional State, Ethiopia D. Mengistu et al. https://doi.org/10.1007/s44274-026-00843-9
6375. Deep Learning-Based Evaluation of Offshore Wind Energy Resources in Southeastern China for the Future C. Lai et al. https://doi.org/10.3390/en19061447
6376. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. https://doi.org/10.1029/2019MS001866
6377. High‐Frequency Sea Ice Variability in Observations and Models E. Blanchard‐Wrigglesworth et al. https://doi.org/10.1029/2020GL092356
6378. Soil heat extremes can outpace air temperature extremes A. García-García et al. https://doi.org/10.1038/s41558-023-01812-3
6379. The New Max Planck Institute Grand Ensemble With CMIP6 Forcing and High‐Frequency Model Output D. Olonscheck et al. https://doi.org/10.1029/2023MS003790
6380. Key determinants of global land-use projections E. Stehfest et al. https://doi.org/10.1038/s41467-019-09945-w
6381. Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al. https://doi.org/10.5194/gmd-16-2055-2023
6382. Multi-centennial response of marine carbon pumps to global warming S. Khatiwala et al. https://doi.org/10.1038/s41558-026-02686-x
6383. The annual cycle of terrestrial water storage anomalies in CMIP6 models evaluated against GRACE data R. Wu et al. https://doi.org/10.1175/JCLI-D-21-0021.1
6384. Comparative analysis of high-resolution CMIP6 GCM and CMIP5 RCM: unveiling biases and advancements in simulating compound extreme events in China L. Wang et al. https://doi.org/10.1007/s00382-024-07571-x
6385. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al. https://doi.org/10.1029/2022JD037978
6386. Enhancing Reservoir Design by Integrating Resilience into the Modified Sequent Peak Algorithm (MSPA 2024) I. Saket Oskoui et al. https://doi.org/10.3390/w17020277
6387. Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. https://doi.org/10.5194/gmd-15-6787-2022
6388. Subseasonal Prediction Skill in the CAMS-CSM Subseasonal-to-Seasonal Forecast System Y. Yan et al. https://doi.org/10.1007/s00376-024-4072-3
6389. Projections of precipitation extremes based on bias‐corrected Coupled Model Intercomparison Project phase 6 models ensemble over southern Africa K. Lim Kam Sian et al. https://doi.org/10.1002/joc.7707
6390. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. https://doi.org/10.1016/j.rse.2024.114326
6391. Improvement in wintertime mixed layer depth simulation by CMIP6 compared to CMIP5 climate models T. Xu et al. https://doi.org/10.1016/j.ocemod.2025.102545
6392. Comprehensive assessment of global atmospheric downward longwave radiation in the state-of-the-art reanalysis using satellite and flux tower observations C. Feng et al. https://doi.org/10.1007/s00382-022-06366-2
6393. An information-theoretic approach to obtain ensemble averages from Earth system models C. Sierra & E. Muñoz https://doi.org/10.5194/gmd-18-6701-2025
6394. Change in negative emission burden between an overshoot versus peak-shaved stratospheric aerosol injection pathway S. Baur et al. https://doi.org/10.5194/esd-16-667-2025
6395. Influence of Arctic sea-ice loss on the Greenland ice sheet climate R. Sellevold et al. https://doi.org/10.1007/s00382-021-05897-4
6396. The weakening of the tropical circulation is caused by the lifting of the tropopause height C. Fan & D. Dommenget https://doi.org/10.1007/s00382-023-06909-1
6397. Changes in the tropical upper-tropospheric zonal momentum balance due to global warming A. Thakur & J. Sukhatme https://doi.org/10.5194/wcd-5-839-2024
6398. Projections of cultivation area for summer Kimchi cabbage in South Korea under different global warming levels S. Kang et al. https://doi.org/10.15531/KSCCR.2025.16.5.919
6399. A 41-Year Global All-Sky Surface Longwave Radiation Components Dataset at 5 km and hourly Resolution Y. Du et al. https://doi.org/10.1038/s41597-025-05886-w
6400. Hydroclimate changes over Sweden in the twentieth and twenty-first centuries: a millennium perspective D. Chen et al. https://doi.org/10.1080/04353676.2020.1841410
6401. Constraining Arctic Climate Projections of Wintertime Warming With Surface Turbulent Flux Observations and Representation of Surface-Atmosphere Coupling L. Boisvert et al. https://doi.org/10.3389/feart.2022.765304
6402. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk https://doi.org/10.1038/s41612-023-00496-y
6403. Gross Discrepancies between Observed and Simulated Twentieth-to-Twenty-First-Century Precipitation Trends in Southeastern South America A. Varuolo-Clarke et al. https://doi.org/10.1175/JCLI-D-20-0746.1
6404. Abrupt expansion of climate change risks for species globally A. Pigot et al. https://doi.org/10.1038/s41559-023-02070-4
6405. Strengthened Impacts of November Snow Cover Over Siberia on the Out-of-phase Change in the Siberian High Between December and January Since 2000 and Implication for Intraseasonal Climate Prediction H. Yang & K. Fan https://doi.org/10.3389/feart.2021.748484
6406. Sensitivity of bias adjustment methods to low-frequency internal climate variability over the reference period: an ideal model study R. Bonnet et al. https://doi.org/10.1088/2752-5295/ac6adc
6407. Fine Ash‐Bearing Particles as a Major Aerosol Component in Biomass Burning Smoke K. Adachi et al. https://doi.org/10.1029/2021JD035657
6408. A machine learning approach for evaluating Southern Ocean cloud radiative biases in a global atmosphere model S. Fiddes et al. https://doi.org/10.5194/gmd-17-2641-2024
6409. Neural Emulators vs. Machine Learning Regressors: District‑Scale Pre‑Monsoon Temperature Prediction in Telangana G. Velusamy et al. https://doi.org/10.1007/s41748-026-01220-5
6410. Projected relationship between ENSO and following-summer rainfall over the middle reaches of the Yangtze River valley based on CMIP6 simulations Y. Sui & G. Xie https://doi.org/10.1016/j.aosl.2023.100374
6411. Influence of New Parameterization Schemes on Arctic Sea Ice Simulation Y. Lu et al. https://doi.org/10.3390/jmse12040555
6412. Projections of tropical cyclones and their formation regions in CMIP6 climate models K. Sharma et al. https://doi.org/10.1007/s00382-026-08280-3
6413. 19th century glacier retreat in the Alps preceded the emergence of industrial black carbon deposition on high-alpine glaciers M. Sigl et al. https://doi.org/10.5194/tc-12-3311-2018
6414. Comparative Evaluation of CMIP5 and CMIP6 GCMs in Reproducing Regional Precipitation Climatology in Mexico A. Ordoñez-Sánchez et al. https://doi.org/10.3390/cli14060117
6415. Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget M. De Sisto & A. MacDougall https://doi.org/10.5194/bg-21-4853-2024
6416. Projected changes in atmospheric pathways of Western North American heatwaves simulated from high-resolution coupled model simulations M. Park & N. Johnson https://doi.org/10.1038/s41612-025-01319-y
6417. Exploring the High Summertime Surface Ozone-Temperature Sensitivity in China S. Li & X. Lu https://doi.org/10.1021/acs.est.6c04659
6418. Sensitivity of groundwater levels to low-frequency climate variability in a large watershed L. Baulon et al. https://doi.org/10.1016/j.scitotenv.2024.177636
6419. Multi-centennial evolution of the climate response and deep-ocean heat uptake in a set of abrupt stabilization scenarios with EC-Earth3 F. Fabiano et al. https://doi.org/10.5194/esd-15-527-2024
6420. Historical and Projected Trends of the Mean Surface Temperature in South-Southeast Mexico Using ERA5 and CMIP6 M. Andrade-Velázquez & M. Montero-Martínez https://doi.org/10.3390/cli11050111
6421. The impact of the extratropical North Pacific on the quasi-biennial variability in ENSO Y. Wang et al. https://doi.org/10.1007/s00382-023-06792-w
6422. Soil degradation in Europe is projected to accelerate under changing land use and climate M. Afshar et al. https://doi.org/10.1038/s44458-026-00064-4
6423. Human-caused sea level rise drives 21st-century worldwide water level extremes D. Gilford et al. https://doi.org/10.1126/sciadv.adz3595
6424. Skillful Coupled Atmosphere‐Ocean Forecasts on Interannual to Decadal Timescales Using a Linear Inverse Model L. Taylor & G. Hakim https://doi.org/10.1029/2022EA002679
6425. Multivariate drought risk assessment of tropical river basin in South India under SSP scenarios R. Andimuthu et al. https://doi.org/10.1007/s00704-024-05048-9
6426. What strategies would sheep farmers implement to respond to climate change? A cross-national comparison of sheep farming systems in the Mediterranean D. Martin-Collado et al. https://doi.org/10.1016/j.smallrumres.2025.107576
6427. Increased population exposure to Amphan‐scale cyclones under future climates D. Mitchell et al. https://doi.org/10.1002/cli2.36
6428. Heterogeneous future Arctic Ocean primary productivity changes projected in CMIP6 L. Champiot-Bayard et al. https://doi.org/10.5194/bg-23-4735-2026
6429. Recent progress in understanding the interaction between ENSO and the East Asian winter monsoon: A review T. Ma & W. Chen https://doi.org/10.3389/feart.2023.1098517
6430. Sea-level rise in Venice: historic and future trends (review article) D. Zanchettin et al. https://doi.org/10.5194/nhess-21-2643-2021
6431. Assessment of South America summer rainfall climatology and trends in a set of global climate models large ensembles L. Díaz et al. https://doi.org/10.1002/joc.6643
6432. North Atlantic Oscillation (NAO) in the Paleoclimate Modelling Intercomparison Project (PMIP) A. Zhao et al. https://doi.org/10.5194/cp-22-689-2026
6433. Tropical Cyclone Precipitation Response to Surface Warming in Aquaplanet Simulations With Uniform Thermal Forcing A. Stansfield & K. Reed https://doi.org/10.1029/2021JD035197
6434. Are the alternative ecosystem states produced by positive fire-flammability feedbacks reversible? P. Zylstra & D. Lindenmayer https://doi.org/10.1088/1748-9326/ae18e7
6435. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al. https://doi.org/10.5194/bg-20-1313-2023
6436. Future Amplification of Sea Surface Temperature Seasonality Due To Enhanced Ocean Stratification A. Jo et al. https://doi.org/10.1029/2022GL098607
6437. Optimizing Regional Rice Management Prescriptions Under Future Climate Scenarios Using a Generalized Additive Model: A Case Study in Jiangsu Province, China J. Qiu et al. https://doi.org/10.3390/agronomy16080806
6438. Future hydrological drought changes over the upper Yellow River basin: The role of climate change, land cover change and reservoir operation P. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.129128
6439. Climate projections for Greece: Defining a regional sub-ensemble from the CMIP6 landscape A. Tsilimigkras et al. https://doi.org/10.1007/s00704-026-06029-w
6440. Soil microbial taxonomic traits control the biogeography of carbon use efficiency Y. Wang et al. https://doi.org/10.1016/j.agee.2026.110341
6441. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. https://doi.org/10.1029/2021EF002644
6442. The emergence of prolonged deadly humid heatwaves X. Wang et al. https://doi.org/10.1002/joc.7750
6443. Microgrid design and multi-year dispatch optimization under climate-informed load and renewable resource uncertainty M. Macmillan et al. https://doi.org/10.1016/j.apenergy.2024.123355
6444. Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic J. Resler et al. https://doi.org/10.5194/gmd-14-4797-2021
6445. Population Aging and Heat Exposure in the 21st Century: Which U.S. Regions Are at Greatest Risk and Why? D. Carr et al. https://doi.org/10.1093/geront/gnad050
6446. Global dependency of canopy height on vapour pressure deficit and its projections under climate change W. Zhang et al. https://doi.org/10.1038/s41559-025-02913-2
6447. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. https://doi.org/10.5194/gmd-14-7659-2021
6448. Multidecadal Variations in East Asian Winter Temperature Since 1880: Internal Variability Versus External Forcing J. Miao & D. Jiang https://doi.org/10.1029/2022GL099597
6449. Statistical evaluation of future soil moisture changes in East Asia projected in a CMIP5 multi-model ensemble T. Nakaegawa https://doi.org/10.3178/hrl.11.37
6450. Response of Larix sibirica Radial Growth to Climate Change in Kanas, Northern Xinjiang, China J. Hou et al. https://doi.org/10.3390/f15122137
6451. Replicability of Annual and Seasonal Precipitation by CMIP5 and CMIP6 GCMs over East Asia M. Shiru et al. https://doi.org/10.1007/s12205-022-0992-6
6452. Reduced growth of Qinghai spruce due to snow cover loss in high Asian elevations since the late 20th century J. Wei et al. https://doi.org/10.1007/s11676-025-01848-5
6453. The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1 K. Wyser et al. https://doi.org/10.5194/gmd-14-4781-2021
6454. Anthropogenic and atmospheric variability intensifies flash drought episodes in South Asia I. Ullah et al. https://doi.org/10.1038/s43247-024-01390-y
6455. Spatiotemporal projections of precipitation and temperature over Afghanistan based on CMIP6 global climate models F. Farhat et al. https://doi.org/10.1007/s40808-022-01361-2
6456. Unraveling forced responses of extreme El Niño variability over the Holocene A. Lawman et al. https://doi.org/10.1126/sciadv.abm4313
6457. The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. https://doi.org/10.1002/joc.8567
6458. Probabilistic life-cycle landslide assessment subjected to nonstationary rainfall based on alternating stochastic renewal process Z. He et al. https://doi.org/10.1016/j.enggeo.2024.107543
6459. The propagation from atmospheric flash drought to soil flash drought and its changes in a warmer climate F. Ma & X. Yuan https://doi.org/10.1016/j.jhydrol.2025.132877
6460. The Response of the Ozone Layer to Quadrupled CO2 Concentrations: Implications for Climate G. Chiodo & L. Polvani https://doi.org/10.1175/JCLI-D-19-0086.1
6461. Transformer-based soil moisture simulation for understanding future drying trend globally Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134709
6462. Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change I. de Vries et al. https://doi.org/10.5194/esd-14-81-2023
6463. Projected changes in temperature and precipitation over mainland Southeast Asia by CMIP6 models S. Supharatid et al. https://doi.org/10.2166/wcc.2021.015
6464. A global dataset for the projected impacts of climate change on four major crops T. Hasegawa et al. https://doi.org/10.1038/s41597-022-01150-7
6465. The Climatic Impact‐Driver Framework for Assessment of Risk‐Relevant Climate Information A. Ruane et al. https://doi.org/10.1029/2022EF002803
6466. Climate-Induced Annual and Interannual Processual Shifts in Ecohydrological Regimes and Their Evaluations in Jinsha River Basin, China X. Ju et al. https://doi.org/10.1061/JHYEFF.HEENG-5906
6467. Projected changes in hydro-climatic extremes with CMIP6 climate model outputs: a case of rain-fed river systems in Western Nepal T. Bhattarai et al. https://doi.org/10.1007/s00477-022-02312-0
6468. Understanding spatiotemporal variation of heatwave projections across US cities S. Bhattarai et al. https://doi.org/10.1038/s41598-025-95097-5
6469. Simulation of global sea surface temperature maps using Pix2Pix GAN D. Chakraborty & A. Mitra https://doi.org/10.1017/eds.2024.38
6470. Robust Increase in Indian Summer Monsoon Intraseasonal Variability in a Warmer Climate G. Konda et al. https://doi.org/10.1007/s00376-025-5031-3
6471. Pronounced spatial disparity of projected heatwave changes linked to heat domes and land-atmosphere coupling F. Cai et al. https://doi.org/10.1038/s41612-024-00779-y
6472. Using Climate Model Simulations to Constrain Observations B. Santer et al. https://doi.org/10.1175/JCLI-D-20-0768.1
6473. Future projections of summer precipitation-driving mechanisms over the South American Altiplano J. Agudelo et al. https://doi.org/10.1007/s00382-025-07656-1
6474. Surging compound drought–heatwaves underrated in global soils X. Fan et al. https://doi.org/10.1073/pnas.2410294121
6475. Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes O. Desgué-Itier et al. https://doi.org/10.5194/hess-27-837-2023
6476. Climatic Suitability of Cornus officinalis Across Paleoclimatic, Current, and Future Climates: Implications for Conservation and Climate-Informed Cultivation Y. Li et al. https://doi.org/10.3390/horticulturae12080989
6477. Regionally high risk increase for precipitation extreme events under global warming C. Martinez-Villalobos & J. Neelin https://doi.org/10.1038/s41598-023-32372-3
6478. Atmospheric responses to the interannual variability of sea surface temperature front in the summertime Southern Ocean Q. Rao et al. https://doi.org/10.1007/s00382-023-07093-y
6479. Minor carbon sequestration under nitrogen deposition due to downregulated nitrogen uptake and use efficiency S. Wang et al. https://doi.org/10.1016/j.agrformet.2024.110220
6480. Regional Signatures of Forced North Atlantic SST Variability: A Limited Role for Aerosols and Greenhouse Gases S. Baek et al. https://doi.org/10.1029/2022GL097794
6481. Marginal ice zone dynamics: future research perspectives and pathways L. Bennetts et al. https://doi.org/10.1098/rsta.2021.0267
6482. A hybrid approach analysis of cmip6 multi-model ensemble simulations of moist heatwaves in Sokoto Rima Basin, Nigeria (1981–2100) M. Ahmed et al. https://doi.org/10.1007/s00704-026-06609-w
6483. Climate change, dams, and irrigation expansion reshape water–energy trade-offs in the Lancang–Mekong River Basin H. Zhao et al. https://doi.org/10.1016/j.jhydrol.2026.135371
6484. Event selection for dynamical downscaling: a neural network approach for physically-constrained precipitation events J. Gómez-Navarro et al. https://doi.org/10.1007/s00382-019-04818-w
6485. Projected Non-Monotonic Changes in the Potential Suitable Range of Phyllanthus emblica in China Under Future Climate Scenarios Y. Xiang et al. https://doi.org/10.3390/biology15181600
6486. The vertical profile of recent tropical temperature trends: Persistent model biases in the context of internal variability D. Mitchell et al. https://doi.org/10.1088/1748-9326/ab9af7
6487. Utilizing Ecological Modeling to Follow the Potential Spread of Honey Bee Pest (Megaselia scalaris) from Nearby Countries towards Saudi Arabia under Climate Change Conditions A. Alkhalaf https://doi.org/10.3390/d14040261
6488. A new spatial optimization layout framework for urban LID facilities in response to climate change impacts W. Li et al. https://doi.org/10.1016/j.scs.2025.106686
6489. Ion–Molecule Chemistry Relevant to Iodine in the Upper Atmosphere T. Lewis et al. https://doi.org/10.1021/acsearthspacechem.6c00175
6490. The roadmap of climate models M. Latif https://doi.org/10.1038/s43588-022-00322-0
6491. Constrained high-resolution projection of hot extremes in the Beijing–Tianjin–Hebei region of China J. Yang et al. https://doi.org/10.1016/j.accre.2023.04.008
6492. Selection of a representative subset of global climate models that captures the profile of regional changes for integrated climate impacts assessment A. Ruane & S. McDermid https://doi.org/10.1186/s40322-017-0036-4
6493. Long-term coupled variability of temperature and precipitation in eastern China and the underlying mechanisms Y. Zhang et al. https://doi.org/10.1007/s00382-023-06963-9
6494. Climate change shifts the North Pacific storm track polewards R. Chemke & J. Yuval https://doi.org/10.1038/s41586-025-09895-y
6495. Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models X. LIU et al. https://doi.org/10.1080/16742834.2020.1824983
6496. Improved Simulation of the QBO in E3SMv1 J. Richter et al. https://doi.org/10.1029/2019MS001763
6497. Emergent Constraint on the Frequency of Central Pacific El Niño Under Global Warming by the Equatorial Pacific Cold Tongue Bias in CMIP5/6 Models W. Jiang et al. https://doi.org/10.1029/2020GL089519
6498. Investigating the applicability of emergent constraints A. Winkler et al. https://doi.org/10.5194/esd-10-501-2019
6499. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. https://doi.org/10.5194/acp-20-14547-2020
6500. Declining Predictions of Net Ecosystem Production in US Rivers and Streams Throughout the 21st Century Q. Guan et al. https://doi.org/10.1021/acs.est.5c05623
6501. Invited perspectives: Towards usable compound event research K. Kornhuber et al. https://doi.org/10.5194/nhess-26-4309-2026
6502. HiCPC: A new 10-km CMIP6 downscaled daily climate projections over China H. Yuan et al. https://doi.org/10.1038/s41597-024-03982-x
6503. Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions A. Bayer et al. https://doi.org/10.5194/esd-8-91-2017
6504. Projection of climate change impacts on hydropower in the source region of the Yangtze River based on CMIP6 Y. Zhao et al. https://doi.org/10.1016/j.jhydrol.2022.127453
6505. Impact of climate change on nearly zero-energy dwelling in temperate climate: Time-integrated discomfort, HVAC energy performance, and GHG emissions R. Rahif et al. https://doi.org/10.1016/j.buildenv.2022.109397
6506. Modeling the Sulfate Aerosol Evolution After Recent Moderate Volcanic Activity, 2008–2012 C. Brodowsky et al. https://doi.org/10.1029/2021JD035472
6507. Exploring future projections of wind power density over the Caribbean region in CMIP6 models. H. Arregocés et al. https://doi.org/10.1016/j.egyr.2025.03.039
6508. Likelihoods of compound dry-hot-windy events are projected to increase under global warming Q. Ma et al. https://doi.org/10.1016/j.atmosres.2025.108119
6509. Machine learning to optimize climate projection over China with multi-model ensemble simulations T. Li et al. https://doi.org/10.1088/1748-9326/ac1d0c
6510. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. https://doi.org/10.1029/2022MS003475
6511. Substantial contribution of land-atmosphere interactions to the intensification of compound drought and heatwave events under rising CO2 R. Xing et al. https://doi.org/10.1016/j.gloplacha.2026.105722
6512. Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas https://doi.org/10.1038/s41558-023-01775-5
6513. Climate change projections for building energy simulation studies: a CORDEX-based methodological approach to manage uncertainties T. Coronato et al. https://doi.org/10.1007/s10584-024-03710-9
6514. Impact of deoxygenation and warming on global marine species in the 21st century A. Morée et al. https://doi.org/10.5194/bg-20-2425-2023
6515. Spurious North Tropical Atlantic precursors to El Niño W. Zhang et al. https://doi.org/10.1038/s41467-021-23411-6
6516. Substantially increased risk of elderly to compound heat and drought events in coastal China under 1.5 °C–3.0 °C warming scenarios J. Chen et al. https://doi.org/10.1016/j.ijdrr.2025.105575
6517. Assessment of the impacts of biological nitrogen fixation structural uncertainty in CMIP6 earth system models T. Davies-Barnard et al. https://doi.org/10.5194/bg-19-3491-2022
6518. Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach H. Huang et al. https://doi.org/10.1007/s13253-022-00518-x
6519. Design principles for the IPCC emission scenario ensemble F. Nappo https://doi.org/10.1016/j.shpsa.2026.102149
6520. Assessing the Impact of Climate Change on the Distribution of Lime (16srii-B) and Alfalfa (16srii-D) Phytoplasma Disease Using MaxEnt A. Al Ruheili et al. https://doi.org/10.3390/plants10030460
6521. Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al. https://doi.org/10.1038/s41467-025-56730-z
6522. Basin-wide and coastal modes of north tropical Atlantic variability have distinct impacts on hurricanes Y. Liu et al. https://doi.org/10.1038/s43247-025-02529-1
6523. Shoreward shift of oceanic mesoscale activity over the last three decades S. Zhou et al. https://doi.org/10.1038/s41467-025-65359-x
6524. Bias-corrected CMIP6 ensemble projections of temperature extremes and precipitation regimes in the Omo-Kuraz Watershed, Ethiopia: Implications for water security K. Erenso et al. https://doi.org/10.1016/j.envc.2026.101649
6525. Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions L. Wilcox et al. https://doi.org/10.5194/acp-20-11955-2020
6526. Quantifying the effects of the diurnal cycle in the variability of rainfall D. Zermeño‐Díaz https://doi.org/10.1002/joc.7084
6527. PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset J. Xiong & Y. Yang https://doi.org/10.1038/s41597-025-05790-3
6528. Historical and future extremes of cauvery basin analysed using cmip6 models and ETCCDI indices S. Sridhara et al. https://doi.org/10.1038/s41598-026-42818-z
6529. A systematic framework for the assessment of sustainable hydropower potential in a river basin – The case of the upper Indus S. Dhaubanjar et al. https://doi.org/10.1016/j.scitotenv.2021.147142
6530. Global climate system response to SOFIA Antarctic meltwater in HadCM3-M2.1 A. Mistry et al. https://doi.org/10.5194/tc-19-6989-2025
6531. Projections of Arctic sea ice conditions and shipping routes in the twenty-first century using CMIP6 forcing scenarios T. Wei et al. https://doi.org/10.1088/1748-9326/abb2c8
6532. Data-driven predictions of the time remaining until critical global warming thresholds are reached N. Diffenbaugh & E. Barnes https://doi.org/10.1073/pnas.2207183120
6533. Construction of a tephra-based multi-archive coherent chronological framework for the last deglaciation in the Mediterranean region L. Bazin et al. https://doi.org/10.1016/j.quascirev.2019.05.018
6534. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. https://doi.org/10.1029/2021WR030007
6535. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. https://doi.org/10.1029/2021GL096037
6536. Attribution of the Record‐Breaking Extreme Precipitation Events in July 2021 Over Central and Eastern China to Anthropogenic Climate Change L. Wang et al. https://doi.org/10.1029/2023EF003613
6537. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. https://doi.org/10.1088/1748-9326/aca91e
6538. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
6539. Assessment of Carbon Storage in a Multifunctional Landscape: A Case Study of Central Asia X. Dong et al. https://doi.org/10.3390/land13060801
6540. Response of Storm-Related Extreme Sea Level along the U.S. Atlantic Coast to Combined Weather and Climate Forcing J. Yin et al. https://doi.org/10.1175/JCLI-D-19-0551.1
6541. Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. https://doi.org/10.1016/j.rse.2017.01.007
6542. The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China Y. Liu et al. https://doi.org/10.2166/wcc.2022.213
6543. Using iterative reverse scenario logic to manage model risk in financial climate risk assessment M. Gerst et al. https://doi.org/10.1007/s10584-026-04260-y
6544. New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. https://doi.org/10.1029/2019MS001642
6545. Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales C. Gallo et al. https://doi.org/10.5194/gmd-16-3103-2023
6546. Hydrological feedback from projected Earth greening in the 21st century J. Wu et al. https://doi.org/10.1016/j.horiz.2022.100007
6547. Machine unlearning: bias correction in neural network downscaled storms S. Papalexiou & A. Mamalakis https://doi.org/10.1016/j.jhydrol.2025.134689
6548. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
6549. Extreme Tibetan Plateau cooling caused by tropical volcanism X. Zhu et al. https://doi.org/10.1038/s41612-024-00672-8
6550. Improving CMIP6 projections of daily precipitation using a mean-adjusted time variability correction technique Y. Shao & C. Bishop https://doi.org/10.1007/s00382-025-07731-7
6551. Possible changes in Sudan's future precipitation under the high and medium emission scenarios based on bias adjusted GCMs M. Hamadalnel et al. https://doi.org/10.1016/j.atmosres.2022.106036
6552. Features of active and break spells over monsoon core region of india during southwest monsoon simulated by CMIP6 GCMs T. Kesavavarthini et al. https://doi.org/10.1007/s00703-026-01154-7
6553. Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China X. Zhang et al. https://doi.org/10.3390/rs16183410
6554. Decadal Predictability of the North Atlantic Eddy‐Driven Jet in Winter A. Marcheggiani et al. https://doi.org/10.1029/2022GL102071
6555. Climate change impacts on hydrology and water resources in East Africa considering CMIP3, CMIP5, and CMIP6 C. Onyutha https://doi.org/10.3389/fclim.2024.1453726
6556. STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. https://doi.org/10.5194/esd-13-1557-2022
6557. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. https://doi.org/10.1029/2022EF003179
6558. Ecological Niche Differentiation and Distribution Dynamics Revealing Climate Change Responses in the Chinese Genus Dysosma R. Chen et al. https://doi.org/10.3390/plants15010162
6559. Large variability in response to projected climate and land‐use changes among European bumblebee species R. Prestele et al. https://doi.org/10.1111/gcb.15780
6560. Diversity of the climatological seasonal march of East Asian summer monsoon rainfall among the CMIP6 models T. Yu et al. https://doi.org/10.1016/j.gloplacha.2024.104558
6561. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. https://doi.org/10.1038/s41586-024-07878-z
6562. Triple‐Dip La Niña in 2020–23: North Pacific Atmosphere Drives 2nd Year La Niña T. Iwakiri et al. https://doi.org/10.1029/2023GL105763
6563. Projected impact of carbon dioxide (CO2) removal from the atmosphere on radiative flux over West Africa E. Uzoma & M. Adeniyi https://doi.org/10.1007/s12040-024-02408-x
6564. More extreme precipitation over the Yangtze River Basin, China: Insights from historical and projected perspectives X. Wu et al. https://doi.org/10.1016/j.atmosres.2023.106883
6565. Projected changes in synoptic circulations over Europe and their implications for summer precipitation: A CMIP6 perspective P. Herrera‐Lormendez et al. https://doi.org/10.1002/joc.8033
6566. Reconsidering the lower end of long-term climate scenarios S. Fujimori et al. https://doi.org/10.1371/journal.pclm.0000318
6567. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6 N. Gillett et al. https://doi.org/10.5194/gmd-9-3685-2016
6568. Parallel Post-Processing of the Earth Climate Model Output G. van den Oord & R. Bakhshi https://doi.org/10.1016/j.procs.2017.05.146
6569. On the simulations of latent heat flux over the Indian Ocean in CMIP6 models S. Mohan & R. Ruchith https://doi.org/10.1007/s00382-023-06871-y
6570. Glacier projections sensitivity to temperature-index model choices and calibration strategies L. Schuster et al. https://doi.org/10.1017/aog.2023.57
6571. Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios D. Hueholt et al. https://doi.org/10.1038/s41467-024-47656-z
6572. Contrasting tropical precipitation and ecosystem response to Indian Ocean Dipole in a warming climate P. Swapna et al. https://doi.org/10.1016/j.scitotenv.2025.179081
6573. Dynamics of water-energy-food nexus interactions with climate change and policy options L. Wu et al. https://doi.org/10.1088/2515-7620/ac4bab
6574. Projection of China’s future runoff based on the CMIP6 mid-high warming scenarios J. Zhou et al. https://doi.org/10.1007/s11430-022-1055-5
6575. Scenario-based analysis of rainfall erosivity trends in Taiwan K. Nguyen & W. Chen https://doi.org/10.1016/j.indic.2026.101232
6576. Projected near-future changes in precipitation extremes over Anambra-Imo River Basin inferred from CMIP6 HighResMIP C. Ibe et al. https://doi.org/10.1007/s44292-024-00008-4
6577. Future Changes in Global Atmospheric Rivers Projected by CMIP6 Models L. Zhang et al. https://doi.org/10.1029/2023JD039359
6578. Robust spatial changes in climate classes: insights from bias-corrected CMIP6 models across Chile N. Vásquez et al. https://doi.org/10.1088/1748-9326/ad9d5b
6579. Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network H. Xiao et al. https://doi.org/10.1016/j.accre.2022.06.001
6580. Effects of Climate Change on the Global Distribution of Trachypteris picta (Coleoptera: Buprestidae) H. Liu et al. https://doi.org/10.3390/insects16080802
6581. Methodological framework for reliable high-resolution regional wave climate projections using statistical and dynamical techniques N. Lakku & M. Behera https://doi.org/10.1016/j.oceaneng.2025.120364
6582. Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 F. Lehner et al. https://doi.org/10.5194/esd-11-491-2020
6583. Evolving Non-Communicable Disease Mortality Risk Under Temperature Extremes in the Metropolitan Area of the Valley of Mexico: A Bayesian Spatiotemporal Analysis (2000–2019) C. González-Salazar & O. Cordero-Saldierna https://doi.org/10.3390/su18083676
6584. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. https://doi.org/10.5194/acp-21-853-2021
6585. Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics G. Pak et al. https://doi.org/10.1007/s12601-021-00001-7
6586. Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect‐Model Test of the Method Q. Wu & J. Gregory https://doi.org/10.1029/2022MS002999
6587. Future Climate Extremes in Bangladesh: Insights from a Multi-Model Ensemble of CMIP6 Simulations F. Nazrul et al. https://doi.org/10.1007/s41748-025-00681-4
6588. Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere I. Park et al. https://doi.org/10.1038/s41558-023-01728-y
6589. The primary factors influencing the cooling effect of carbon dioxide removal X. Qu & G. Huang https://doi.org/10.1038/s41612-023-00547-4
6590. Substantial inter-model variation in OAE efficiency between the CESM2/MARBL and ECCO-Darwin ocean biogeochemistry models M. Tyka et al. https://doi.org/10.5194/bg-23-4943-2026
6591. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
6592. Verification of Seasonal Ensemble Forecasts Based on the INM-CM5 Earth System Model V. Khan et al. https://doi.org/10.3103/S1068373924070033
6593. Collapse of climatic refugia under compound climate hazards in the Middle East and North Africa Y. Khosravi & T. Ouarda https://doi.org/10.1038/s44304-026-00213-8
6594. Estimating future changes in streamflow and suspended sediment load under CMIP6 multi-model ensemble projections: a case study of Bitlis Creek, Turkey E. Yalcin https://doi.org/10.1007/s11600-024-01439-8
6595. Forecasting the circum-Mediterranean firs (Abies spp., Pinaceae) distribution: an assessment of a threatened conifers’ group facing climate change in the twenty-first century J. López-Tirado et al. https://doi.org/10.1007/s11056-023-09972-y
6596. Quantification of run-of-river hydropower potential in the Upper Indus basin under climate change S. Dhaubanjar et al. https://doi.org/10.3389/frwa.2023.1256249
6597. Projection of tropical cyclone genesis under climate change with convolutional mixing neural networks F. Hu & Q. Li https://doi.org/10.1016/j.atmosres.2025.108610
6598. The biogeophysical effects of carbon fertilization of the terrestrial biosphere R. Allen https://doi.org/10.5194/acp-25-10361-2025
6599. CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO2 in a Coupled Carbon-Climate Simulation J. Zhu et al. https://doi.org/10.1007/s00376-023-3172-9
6600. The Geoheritage of Mount Ararat and its Vicinity: An Assessment of Geodiversity with a Focus on Glaciation and Mountaineering E. Canpolat et al. https://doi.org/10.1007/s12371-026-01269-8
6601. A review of interactions between ocean heat transport and Arctic sea ice D. Docquier & T. Koenigk https://doi.org/10.1088/1748-9326/ac30be
6602. ENSO‐induced decadal variability in the tropical Pacific subsurface in CMIP6 models Y. Chen & P. Huang https://doi.org/10.1002/joc.8071
6603. The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. https://doi.org/10.5194/gmd-16-5427-2023
6604. Dynamical downscaling projections of mean and extreme climate over the Tibetan Plateau under 2 SSP scenarios J. Zhou et al. https://doi.org/10.1016/j.wace.2025.100747
6605. Future Streamflow Projections in a Semi-Arid Mountain Basin Using Machine Learning and CMIP6 Climate Scenarios: The Case of the Zat River (Morocco) S. Rachidi et al. https://doi.org/10.3390/atmos17090841
6606. Drier North American Monsoon in Contrast to Asian–African Monsoon under Global Warming C. He et al. https://doi.org/10.1175/JCLI-D-20-0189.1
6607. The Southern Ocean Radiative Bias, Cloud Compensating Errors, and Equilibrium Climate Sensitivity in CMIP6 Models A. Schuddeboom & A. McDonald https://doi.org/10.1029/2021JD035310
6608. Kinetics of O3 with Ca+ and Its Higher Oxides CaOn+ (n = 1–3) and Updates to a Model of Meteoric Calcium in the Mesosphere and Lower Thermosphere N. Shuman et al. https://doi.org/10.1021/acs.jpca.3c01126
6609. Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific K. von Salzen et al. https://doi.org/10.1038/s41467-025-65127-x
6610. Rapid 21st Century Weakening of the Agulhas Current in a Warming Climate R. Zhang et al. https://doi.org/10.1029/2022GL102070
6611. Greenland ice sheet climate disequilibrium and committed sea-level rise J. Box et al. https://doi.org/10.1038/s41558-022-01441-2
6612. Future precipitation and near surface air-temperature projection using CMIP6 models based on TOPSIS method: case study, Sistan-and-Baluchestan Province of Iran N. Pegahfar https://doi.org/10.1007/s10661-023-12084-x
6613. Climate Change: Causes, Consequences, and Current Challenges V. Semenov https://doi.org/10.1134/S1019331625602750
6614. Single hemisphere air-sea interaction shapes the South Pacific surface warming and wind change J. Ma et al. https://doi.org/10.1038/s41612-025-01299-z
6615. Bias Correction of Terrestrial Water Availability: Comparison of Trend‐Preserving Cumulative Distribution Function Matching Methods J. Li & B. Qin https://doi.org/10.1002/asl.1312
6616. Spatiotemporal dynamics of Bacillus anthracis under climate change: a machine learning approach S. Khalaf et al. https://doi.org/10.3389/fmicb.2025.1659876
6617. East Asian summer monsoon response to anthropogenic aerosols redistribution: contrasting 1950–1980 and 1980–2010 to understand the role of non-Asian forcing Z. Shao et al. https://doi.org/10.1007/s00382-023-07016-x
6618. Projection of precipitation and temperature in major cities of Pakistan using multi-model ensembles F. Shah & A. Sharifi https://doi.org/10.1016/j.uclim.2025.102430
6619. Integration of resilient cooling technologies in building stock: Impact on thermal comfort, final energy consumption, and GHG emissions E. Elnagar et al. https://doi.org/10.1016/j.buildenv.2024.111666
6620. Projected changes in temperature and rainfall patterns over Kerala under moderate and high emission scenarios A. Johny & P. Pranavananth https://doi.org/10.1007/s12040-026-02921-1
6621. Human-induced warming accelerates local evapotranspiration and precipitation recycling over the Tibetan Plateau T. Cheng et al. https://doi.org/10.1038/s43247-024-01563-9
6622. Past and future effects of climate on the metapopulation dynamics of a Northeast Atlantic seabird across two centuries J. Jeglinski et al. https://doi.org/10.1111/ele.14479
6623. Projections of meteorological drought severity-duration variations based on CMIP6 F. Behzadi et al. https://doi.org/10.1038/s41598-024-55340-x
6624. The future of agricultural lands under the combined influence of shared socioeconomic pathways and urban expansion by 2050 A. Sadian & H. Shafizadeh-Moghadam https://doi.org/10.1016/j.agsy.2024.104234
6625. Atmospheric blocking representation in storm-resolving climate models under historical and future forcing E. Dolores-Tesillos et al. https://doi.org/10.5194/wcd-7-1089-2026
6626. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. https://doi.org/10.1007/s00382-022-06436-5
6627. Future projection of climate extremes across contiguous northeast India and Bangladesh A. Paul & R. Maity https://doi.org/10.1038/s41598-023-42360-2
6628. Improved subseasonal-to-seasonal precipitation prediction of climate models with nudging approach for better initialization of Tibetan Plateau-Rocky Mountain Circumglobal wave train and land surface conditions Y. Qin et al. https://doi.org/10.1007/s00382-023-07082-1
6629. Atmospheric blocking and temperatures in the Antarctic Peninsula D. Bozkurt et al. https://doi.org/10.1016/j.scitotenv.2024.172852
6630. Satellite-based radiative forcing by light-absorbing particles in snow across the Northern Hemisphere J. Cui et al. https://doi.org/10.5194/acp-21-269-2021
6631. Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora L. Marshall et al. https://doi.org/10.5194/acp-18-2307-2018
6632. Trophic amplification: A model intercomparison of climate driven changes in marine food webs V. Guibourd de Luzinais et al. https://doi.org/10.1371/journal.pone.0287570
6633. Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations P. Nowack et al. https://doi.org/10.1088/1748-9326/aae2be
6634. Direct and semi-direct aerosol effects on the scaling of extreme sub-daily precipitation over East China S. Li et al. https://doi.org/10.1088/1748-9326/ad9294
6635. Normal Mode Perspective on the 2016 QBO Disruption: Evidence for a Basic State Regime Transition B. Raphaldini et al. https://doi.org/10.1029/2020GL087274
6636. Assessing discrepancies in global aerosol trends from satellites, models and reanalyses R. Urraca et al. https://doi.org/10.1016/j.rse.2025.114827
6637. A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections X. Tibau et al. https://doi.org/10.1017/eds.2022.11
6638. Contributions of Nordic anthropogenic emissions on air pollution and premature mortality over the Nordic region and the Arctic U. Im et al. https://doi.org/10.5194/acp-19-12975-2019
6639. The predictability of snow depth at the North Hemisphere originated from persistence and oceanic forcing S. Zhu et al. https://doi.org/10.1007/s00382-022-06356-4
6640. Assessment of Aerosol Optical Depth, Cloud Fraction, and Liquid Water Path in CMIP6 Models Using Satellite Observations J. Liang & J. Griswold https://doi.org/10.3390/rs17142439
6641. Gas exchange analysers exhibit large measurement error driven by internal thermal gradients J. Garen et al. https://doi.org/10.1111/nph.18347
6642. Assessing the global potential of Expanding Coastal Vegetated Ecosystems as a Carbon Dioxide Removal Method: results from a parameterization in an Earth System Model M. Liadova et al. https://doi.org/10.3389/fclim.2026.1832856
6643. Anthropogenic influences on the extremely dry and hot summer of 2020 in Southern China and projected changes in the likelihood of the event K. Wang et al. https://doi.org/10.1016/j.wace.2024.100706
6644. Detection and attribution for land surface air temperature warming in China based on a perfect model selection analysis of optimal fingerprint strategy Z. Guo et al. https://doi.org/10.1007/s00704-024-04966-y
6645. Analysing the PMIP4-CMIP6 collection: a workflow and tool (pmip_p2fvar_analyzer v1) A. Zhao et al. https://doi.org/10.5194/gmd-15-2475-2022
6646. Assessment of the potential for hydrokinetic energy production in the Douro river estuary under sea level rise scenarios M. Cruz et al. https://doi.org/10.1016/j.energy.2023.126960
6647. Influence of Stratospheric Ozone Changes on Stratospheric Temperature Trends in Recent Decades L. Zhou et al. https://doi.org/10.3390/rs14215364
6648. Evaluation of CMIP6 Global Climate Models for Rainfall Simulation Across Agro-Ecological Zones of Ethiopia T. Solomon & Y. Yimam https://doi.org/10.11648/j.ijssam.20261102.12
6649. High emissions could increase the future risk of maize drought in China by 60–70 % H. Jia et al. https://doi.org/10.1016/j.scitotenv.2022.158474
6650. Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. https://doi.org/10.1016/j.envpol.2024.124707
6651. Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes https://doi.org/10.1016/j.jhydrol.2023.129177
6652. Greenhouse gases drove the increasing trends in spring precipitation across the central USA W. Zhang & G. Villarini https://doi.org/10.1098/rsta.2019.0553
6653. Predicting sub‐continental fuel hazard under future climate and rising atmospheric CO2 concentration J. Yang et al. https://doi.org/10.1111/1365-2664.14486
6654. Changes in El Niño characteristics and air–sea feedback mechanisms under progressive global warming M. Shen & J. Yu https://doi.org/10.1007/s44195-023-00051-5
6655. Diagnosing the Radiation Biases in Global Climate Models Using Radiative Kernels H. Huang & Y. Huang https://doi.org/10.1029/2023GL103723
6656. Projected future changes in extreme climate indices affecting rice production in China using a multi-model ensemble of CMIP6 projections X. Chen et al. https://doi.org/10.3389/fpls.2025.1595367
6657. Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0 O. Fuhrer et al. https://doi.org/10.5194/gmd-11-1665-2018
6658. Statistical physics and dynamical systems perspectives on geophysical extreme events D. Faranda et al. https://doi.org/10.1103/PhysRevE.110.041001
6659. Evaluation of snow cover and snow water equivalent in the continental Arctic in CMIP5 models M. Santolaria-Otín & O. Zolina https://doi.org/10.1007/s00382-020-05434-9
6660. Assessing the consequences of including aerosol absorption in potential stratospheric aerosol injection climate intervention strategies J. Haywood et al. https://doi.org/10.5194/acp-22-6135-2022
6661. How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review J. Montillet et al. https://doi.org/10.1109/MGRS.2024.3379108
6662. An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis L. Leung et al. https://doi.org/10.1029/2019MS001821
6663. Modeling mitigation and adaptation co-benefits in rice systems in Bangladesh C. Rosenzweig et al. https://doi.org/10.1088/2976-601X/ae7e8e
6664. Assessing the stratospheric temperature response to volcanic sulfate injections by Mt. Pinatubo: insights from the Interactive Stratospheric Aerosol Model Intercomparison Project K. Perny et al. https://doi.org/10.5194/acp-26-10997-2026
6665. Assessing multivariate bias corrections of climate simulations on various impact models under climate change D. Allard et al. https://doi.org/10.5194/hess-29-4711-2025
6666. The strong role of external forcing in seasonal forecasts of European summer temperature M. Patterson et al. https://doi.org/10.1088/1748-9326/ac9243
6667. Evaluation of Extreme Precipitation over East China in CMIP6 Models H. Zhu & J. Yang https://doi.org/10.3390/atmos17020136
6668. Task aggregation as a strategy to optimize Earth System Model workflows in HPC: assessing real scenarios with EC-Earth P. Goitia et al. https://doi.org/10.5194/gmd-19-8501-2026
6669. Assessing the impact of climate change and a water management programme on white sturgeon physiology in the Nechako River, British Columbia M. Oyinlola et al. https://doi.org/10.1093/conphys/coaf014
6670. Exploring Afro-Asian water fluxes in CMIP5 and CMIP6 models: Present-day evaluation and future projections T. Adeliyi et al. https://doi.org/10.1016/j.scitotenv.2025.179374
6671. El Niño–Southern Oscillation Prediction Based on the Global Atmospheric Oscillation in CMIP6 Models I. Serykh https://doi.org/10.3390/cli13020025
6672. AREAdata: A worldwide climate dataset averaged across spatial units at different scales through time T. Smith et al. https://doi.org/10.1016/j.dib.2022.108438
6673. A 1 km monthly dataset of historical and future climate changes over China X. Hu et al. https://doi.org/10.1038/s41597-025-04761-y
6674. Adaptations to the stressful combination of serpentine soils and Mediterranean climate drive plant functional groups and trait richness N. Hidalgo-Triana et al. https://doi.org/10.3389/fpls.2023.1040839
6675. Assessment of climate change impacts on crop and irrigation water demand in the Awash River basin of Ethiopia using CMIP6 models E. Meskelu et al. https://doi.org/10.1007/s43832-025-00307-w
6676. Evaluation of the Pacific Decadal Oscillation from 1901 to 2014 in CMIP6 models Y. Xu et al. https://doi.org/10.3354/cr01711
6677. Exploring terrain-precipitation relationships with interpretable AI for advancing future climate projections H. Xu et al. https://doi.org/10.1016/j.ynexs.2024.100045
6678. Variations of Tropical Lapse Rates in Climate Models and their Implications for Upper Tropospheric Warming P. Keil et al. https://doi.org/10.1175/JCLI-D-21-0196.1
6679. Towards Informed Water Resources Planning and Management P. Reggiani et al. https://doi.org/10.3390/hydrology9080136
6680. Integrating climate scenarios and thermal welfare thresholds to project future heat stress risk in beef cattle G. Grossi et al. https://doi.org/10.1007/s00484-026-03217-1
6681. Assessment and ranking of CMIP6-global climate models over the Calabria region (southern Italy) G. Pellicone & T. Caloiero https://doi.org/10.1016/j.jhydrol.2025.133655
6682. Arctic stratospheric polar vortex collapse amplified South China extreme rainfall in April 2024 Q. Wang et al. https://doi.org/10.1038/s41612-025-01107-8
6683. Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change A. MacDougall https://doi.org/10.5194/bg-18-4937-2021
6684. Evaluating the Representation of Tropical Stratocumulus and Shallow Cumulus Clouds As Well As Their Radiative Effects in CMIP6 Models Using Satellite Observations N. Črnivec et al. https://doi.org/10.1029/2022JD038437
6685. Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe B. Thomas et al. https://doi.org/10.1016/j.renene.2025.123730
6686. Anthropogenic influence on seasonal extreme temperatures in eastern China at century scale T. Hu et al. https://doi.org/10.1016/j.wace.2024.100675
6687. Regional features of climate change and vegetation dynamics in the republic of djibouti: from observed trends to future scenarios E. Vyshkvarkova et al. https://doi.org/10.1007/s00704-026-06387-5
6688. Variability in Projected North American Mean and Extreme Temperature and Precipitation Trends for the 21st Century: Model‐To‐Model Differences Versus Internal Variability M. Kelleher et al. https://doi.org/10.1029/2022EF003161
6689. Global and Regional Climate Feedbacks in Response to Uniform Warming and Cooling M. Ringer et al. https://doi.org/10.1029/2023JD038861
6690. Piecewise‐quantile mapping improves bias correction of global climate model daily precipitation towards preserving quantiles and extremes Q. Zhang et al. https://doi.org/10.1002/joc.7687
6691. Controls of the transient climate response to emissions by physical feedbacks, heat uptake and carbon cycling R. Williams et al. https://doi.org/10.1088/1748-9326/ab97c9
6692. Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin S. Anil et al. https://doi.org/10.2166/wcc.2024.442
6693. Evaluation of the temperature downscaling performance of PRECIS to the BCC-CSM2-MR model over China J. Guo et al. https://doi.org/10.1007/s00382-022-06177-5
6694. Effects of multi-observations uncertainty and models similarity on climate change projections R. Pathak et al. https://doi.org/10.1038/s41612-023-00473-5
6695. Artificial intelligence reconstructs missing climate information C. Kadow et al. https://doi.org/10.1038/s41561-020-0582-5
6696. Predicted Streamflow Sensitivity to Climate Change Using TOPMODEL with CLIGEN Weather Generator in a Data-Sparse Medium-Sized Mediterranean Watershed P. Gorsevski https://doi.org/10.1007/s11269-026-04540-3
6697. Climate shifts within major agricultural seasons for +1.5 and +2.0 °C worlds: HAPPI projections and AgMIP modeling scenarios A. Ruane et al. https://doi.org/10.1016/j.agrformet.2018.05.013
6698. From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. https://doi.org/10.5194/gmd-15-2085-2022
6699. Future Projection of Temperature over The Korean Peninsula under Global Warming Targets of 1.5 and 2.0℃, Using the Multi-RCM Ensemble in CORDEX-EA Phase 2 D. Kim et al. https://doi.org/10.15531/KSCCR.2022.13.5.525
6700. Strong regional trends in extreme weather over the next two decades under high- and low-emissions pathways C. Iles et al. https://doi.org/10.1038/s41561-024-01511-4
6701. Global and Arctic effective radiative forcing of anthropogenic gases and aerosols in MRI-ESM2.0 N. Oshima et al. https://doi.org/10.1186/s40645-020-00348-w
6702. Impacts of Different Land Use Scenarios on Future Global and Regional Climate Extremes T. Hong et al. https://doi.org/10.3390/atmos13060995
6703. Hemispheric asymmetric response of tropical cyclones to CO2 emission reduction C. Liu et al. https://doi.org/10.1038/s41612-024-00632-2
6704. Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. https://doi.org/10.5194/gmd-11-915-2018
6705. Structure, modulation and impacts of southeastern Africa’s diurnal convection M. Jury https://doi.org/10.1007/s00704-024-04885-y
6706. Evaluation of NEX-GDDP-CMIP6 and CMIP6 for Extreme High Temperature Frequency and Intensity in the Sichuan–Chongqing Region with Future Projections Y. Wu et al. https://doi.org/10.3390/atmos17090886
6707. Effects of Climate Change on the Spatial Distribution of the Threatened Species Rhododendron purdomii in Qinling-Daba Mountains of Central China: Implications for Conservation H. Dong et al. https://doi.org/10.3390/su15043181
6708. Climate change impacts on temperature and precipitation over the Caspian Sea S. Hoseini et al. https://doi.org/10.1080/07900627.2024.2313050
6709. The role of the land surface for surface climate: results from a stepwise land–atmosphere coupling experiment W. May https://doi.org/10.1007/s00382-025-07602-1
6710. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al. https://doi.org/10.5194/acp-26-2487-2026
6711. Climate change threatens future climatically suitable habitat and protected area coverage of the greater naked-tailed armadillo (Cabassous tatouay) B. Fontes & R. Bovendorp https://doi.org/10.1007/s44353-026-00096-w
6712. Future wave climate in the NW Mediterranean from multi-model CMIP6 wind projections T. Houghton et al. https://doi.org/10.3389/fmars.2026.1753519
6713. Projections of Heat- and Cold-Related Mortality Under Climate Change Scenarios in Portugal: A Modelling Study M. Rodrigues & D. Carvalho https://doi.org/10.3390/atmos16020196
6714. A Realistic Projection of Climate Change in the Upper Atmosphere Into the 21st Century I. Cnossen https://doi.org/10.1029/2022GL100693
6715. Evaluating the future of climate modeling: A critical review of CMIP6 applications and their role in climate risk and impact assessments R. Guria et al. https://doi.org/10.1016/j.pce.2026.104591
6716. Seasonal prediction skills in the CAMS-CSM climate forecast system B. Liu et al. https://doi.org/10.1007/s00382-021-05848-z
6717. Increasing extreme precipitation variability plays a key role in future record-shattering event probability I. de Vries et al. https://doi.org/10.1038/s43247-024-01622-1
6718. Combining the Effects of Global Warming, Land Use Change and Dispersal Limitations to Predict the Future Distributions of East Asian Cerris Oaks (Quercus Section Cerris, Fagaceae) in China Y. Chen et al. https://doi.org/10.3390/f13030367
6719. Pushing the frontiers in climate modelling and analysis with machine learning V. Eyring et al. https://doi.org/10.1038/s41558-024-02095-y
6720. Climate-induced permafrost degradation exerts species-specific impacts on pine and larch growth in the Da Xing’anling Mountains, Northeast China Y. Wang et al. https://doi.org/10.1016/j.agrformet.2025.110665
6721. INDRA-CMIP6: Indian subcontinent high resolution Downscaled pRecipitation and Air temperature data from CMIP6 J. Mandal et al. https://doi.org/10.1038/s41597-026-07157-8
6722. Decadal heatwave fluctuations in China caused by the Indian and Atlantic Oceans N. Lei et al. https://doi.org/10.1088/1748-9326/ad5b05
6723. Computing extreme storm surges in Europe using neural networks T. Hermans et al. https://doi.org/10.5194/nhess-25-4593-2025
6724. HighResMIP models improve detection of intense cyclones over southeast South America H. Pinheiro & T. Ambrizzi https://doi.org/10.1007/s00382-026-08255-4
6725. Species distribution modeling and machine learning in assessing the potential distribution of freshwater zooplankton in Northern Italy N. Bellin et al. https://doi.org/10.1016/j.ecoinf.2022.101682
6726. Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling H. Nnamchi & M. Latif https://doi.org/10.1038/s41612-025-01041-9
6727. Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios G. Zhang et al. https://doi.org/10.1016/j.ejrh.2021.100898
6728. Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP A. Lauer et al. https://doi.org/10.5194/gmd-13-4205-2020
6729. Winter heavy precipitation events over Northern Europe modulated by a weaker NAO variability by the end of the 21st century R. Fuentes-Franco et al. https://doi.org/10.1038/s41612-023-00396-1
6730. Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques Y. Wu et al. https://doi.org/10.1029/2022EF002963
6731. Causal pathways underlying global soil moisture–precipitation coupling J. Sun et al. https://doi.org/10.1038/s41467-025-63999-7
6732. Influence of Canary upwelling system on coastal SST warming along the 21st century using CMIP6 GCMs R. Varela et al. https://doi.org/10.1016/j.gloplacha.2021.103692
6733. Moderate Indian Ocean Dipole dominates spring fire weather conditions in southern Australia X. Ren et al. https://doi.org/10.1088/1748-9326/ad4fa5
6734. High Climate Sensitivity in the Community Earth System Model Version 2 (CESM2) A. Gettelman et al. https://doi.org/10.1029/2019GL083978
6735. Potential Impacts of Climate Change on Renewable Energy and Storage Requirements for Grid Reliability and Resource Adequacy C. Ho et al. https://doi.org/10.1115/1.4062891
6736. Growing impact of wildfire on western US water supply A. Williams et al. https://doi.org/10.1073/pnas.2114069119
6737. Projections of Global Land Runoff Changes and Their Uncertainty Characteristics During the 21st Century C. Miao et al. https://doi.org/10.1029/2022EF003286
6738. Bias evaluation in rainfall over Southeast Asia in CMIP6 models S. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129593
6739. Missing sea level rise in southeastern Greenland during and since the Little Ice Age S. Woodroffe et al. https://doi.org/10.5194/cp-19-1585-2023
6740. Limited influence of the Agulhas leakage on the Atlantic Meridional Overturning Circulation under present-day climate conditions R. Zhang et al. https://doi.org/10.1038/s43247-025-02097-4
6741. Evaluation of global climate models for the simulation of precipitation and maximum and minimum temperatures at coarser and finer resolutions based on temporal and spatial assessment metrics in mainland of China Y. Lei et al. https://doi.org/10.2166/wcc.2023.464
6742. Projected change in occurrence and severity of heatwaves over West Africa as simulated by CMIP6 models M. Odunmorayo et al. https://doi.org/10.1007/s44367-025-00017-z
6743. Habitat suitability modelling and citizen science data to strengthen river basin-scale conservation planning for threatened aquatic avifauna A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2026.100761
6744. Interdecadal antiphase covariability between temperature and ozone over the mid–high latitudes of Eurasia in spring Y. Yang et al. https://doi.org/10.1016/j.aosl.2026.100904
6745. An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change P. Chang et al. https://doi.org/10.1029/2020MS002298
6746. Accounting for transience in the baseline climate state changes the surface climate response attributed to stratospheric aerosol injection A. Duffey & P. Irvine https://doi.org/10.1088/2752-5295/ad9f91
6747. Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation T. Michibata et al. https://doi.org/10.5194/gmd-12-4297-2019
6748. The Climate in Climate Economics D. Folini et al. https://doi.org/10.1093/restud/rdae011
6749. RELIABILITY ESTIMATION OF 6-MONTH PRECIPITATION PREDICTION IN ASIAN MONSOON REGION USING DEEP LEARNING K. KAJIYAMA & S. KANAE https://doi.org/10.2208/jscejj.24-16104
6750. Observationally-constrained projections of September ice-free Arctic by selecting optimal fingerprint strategy Q. Wang et al. https://doi.org/10.1007/s00382-026-08088-1
6751. Compound warm–dry and cold–wet events over the Mediterranean P. De Luca et al. https://doi.org/10.5194/esd-11-793-2020
6752. FORTE 2.0: a fast, parallel and flexible coupled climate model A. Blaker et al. https://doi.org/10.5194/gmd-14-275-2021
6753. Prescribing Zonally Asymmetric Ozone Climatologies in Climate Models: Performance Compared to a Chemistry‐Climate Model C. Rae et al. https://doi.org/10.1029/2018MS001478
6754. Human-induced weakening of the Northern Hemisphere tropical circulation R. Chemke & J. Yuval https://doi.org/10.1038/s41586-023-05903-1
6755. A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
6756. CO2 radiative forcing induces summer cooling over India J. Liu et al. https://doi.org/10.1038/s41467-026-69875-2
6757. Climatological changes in East Asian winter monsoon circulation in a warmer future C. Wu et al. https://doi.org/10.1016/j.atmosres.2022.106593
6758. Attributing improved diurnal temperature range simulations in CMIP6 to enhanced forcing responses X. Sun et al. https://doi.org/10.1016/j.atmosres.2026.108888
6759. Ensemble projections of fish distribution in response to climate changes in the Yellow and Bohai Seas, China Y. Chen et al. https://doi.org/10.1016/j.ecolind.2022.109759
6760. Forecasting hotspots of climatic suitability for grassland restoration under climate change in North America S. Rana et al. https://doi.org/10.1016/j.biocon.2025.110988
6761. Process-based climate change assessment for European winds using EURO-CORDEX and global models J. Wohland https://doi.org/10.1088/1748-9326/aca77f
6762. HydroNexus: A global techno-economic framework for resolving the energy-water conflict in green hydrogen production O. Yolcan https://doi.org/10.1016/j.ijhydene.2026.155257
6763. Skilful decadal-scale prediction of fish habitat and distribution shifts M. Payne et al. https://doi.org/10.1038/s41467-022-30280-0
6764. Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation J. de Oliveira-Júnior et al. https://doi.org/10.1038/s41598-025-86826-x
6765. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. https://doi.org/10.1029/2023GL102916
6766. Toward more robust net primary production projections in the North Atlantic Ocean S. Doléac et al. https://doi.org/10.5194/bg-22-841-2025
6767. Potentially suitable habitat prediction of Pinus massoniana Lamb. in China under climate change using Maxent model Y. Chi et al. https://doi.org/10.3389/ffgc.2023.1144401
6768. Climate Change Impacts on Maximum Aviation Payloads of Chinese Airports H. Song et al. https://doi.org/10.3390/atmos16050597
6769. Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model J. Xie et al. https://doi.org/10.1029/2020MS002171
6770. Modulation of the Predictability of the East Asian Summer Monsoon by the Interdecadal Pacific Oscillation Y. Zhang et al. https://doi.org/10.1029/2021JD035903
6771. The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models Y. Zhang et al. https://doi.org/10.1007/s00477-023-02406-3
6772. Invasion risks presented by Gonopsis affinis and the use of Trissolcus mitsukurii as a biological control agent under present and future climate conditions D. Lian et al. https://doi.org/10.1002/ps.7712
6773. A Schwarz iterative method to evaluate ocean–atmosphere coupling schemes: implementation and diagnostics in IPSL-CM6-SW-VLR O. Marti et al. https://doi.org/10.5194/gmd-14-2959-2021
6774. Evaluation of Extreme Temperatures Over Australia in the Historical Simulations of CMIP5 and CMIP6 Models X. Deng et al. https://doi.org/10.1029/2020EF001902
6775. R2D2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling M. Vrac & S. Thao https://doi.org/10.5194/gmd-13-5367-2020
6776. Temperature and urban heat island effect in Lublin city in Poland under changing climate D. Sachindra et al. https://doi.org/10.1007/s00704-022-04285-0
6777. Projected decline in the strength of vegetation carbon sequestration under climate change in India V. Bejagam et al. https://doi.org/10.1016/j.scitotenv.2024.170166
6778. Exploring the Sensitivity of Arctic Winter Climate to Aerosol Loading as Simulated in CMIP6 K. Al Hajjar et al. https://doi.org/10.16993/tellusb.1885
6779. Multidimensional analysis of climate-induced streamflow variability using CMIP6 data and advanced modeling techniques P. Hlaing et al. https://doi.org/10.1080/10106049.2025.2504362
6780. Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study M. Cai et al. https://doi.org/10.1016/j.envpol.2021.117602
6781. A comparison of CMIP6 and CMIP5 projections for precipitation to observational data: the case of Northeastern Iran Y. Zamani et al. https://doi.org/10.1007/s00704-020-03406-x
6782. A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation J. Schmidt et al. https://doi.org/10.1038/s41612-025-01157-y
6783. CMIP7 data request: land and land ice priorities and opportunities Y. Li et al. https://doi.org/10.5194/gmd-19-3129-2026
6784. The exposure threat of wet heat extremes is substantially increasing to the 65+ elderly population in Asia H. Gao et al. https://doi.org/10.1088/1748-9326/ae0958
6785. Current Trends and Future Scenarios: Modeling Maximum River Discharge in the Zhaiyk–Caspian Basin (Kazakhstan) Under a Changing Climate S. Alimkulov et al. https://doi.org/10.3390/hydrology12110278
6786. Emergent constraints for the climate system as effective parameters of bulk differential equations C. Huntingford et al. https://doi.org/10.5194/esd-14-433-2023
6787. A Novel Statistical Framework for Assessing Future Drought Using Multiple Global Climate Model: The Weighted Multimodal Adaptive Standardized Precipitation Index R. Fatima & Z. Ali https://doi.org/10.1007/s00024-025-03768-1
6788. P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0 X. Huang et al. https://doi.org/10.5194/gmd-9-4209-2016
6789. Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. https://doi.org/10.3390/hydrology11090132
6790. A global hourly ISIMIP3 climate forcing dataset for impact modeling M. Bechtold et al. https://doi.org/10.5194/essd-18-6637-2026
6791. Impacts of Climate Change and Land Use/Cover Change on Runoff in the Huangfuchuan River Basin X. Huang & L. Qiu https://doi.org/10.3390/land13122048
6792. Unraveling weak and short South Asian wet season in the Early Eocene warmth S. Abhik et al. https://doi.org/10.1038/s43247-024-01289-8
6793. Constrained Projection of the Frequency of Compound Hot and Dry Events across Global Land Areas X. Liu et al. https://doi.org/10.1007/s13351-026-5166-x
6794. PARASO, a circum-Antarctic fully coupled ice-sheet–ocean–sea-ice–atmosphere–land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5 C. Pelletier et al. https://doi.org/10.5194/gmd-15-553-2022
6795. Climate Sensitivity and Feedback of a New Coupled Model (K-ACE) to Idealized CO2 Forcing M. Sun et al. https://doi.org/10.3390/atmos11111218
6796. CMIP6 precipitation and temperature projections for Chile Á. Salazar et al. https://doi.org/10.1007/s00382-023-07034-9
6797. Population exposed to compound extreme hot & humid and wet & windy events in Africa A. Tamoffo et al. https://doi.org/10.1088/1748-9326/ad9d5f
6798. Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models Z. Sun et al. https://doi.org/10.1175/JAMC-D-22-0022.1
6799. Horizon scanning of potential invasive alien plant species and their distribution in Norway under a changing climate K. Ivison et al. https://doi.org/10.1002/ecog.07604
6800. Recalibration of missing low-frequency variability and trends in the North Atlantic Oscillation R. Eade et al. https://doi.org/10.1007/s00382-024-07311-1
6801. Potential Distribution of Tribe Erythroneurini in China Based on the R-Optimized MaxEnt Model, with Implications for Management X. Yuan et al. https://doi.org/10.3390/insects16050450
6802. Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies H. Lee et al. https://doi.org/10.5194/gmd-11-4435-2018
6803. Ionization of the Polar Atmosphere by Energetic Electron Precipitation Retrieved From Balloon Measurements I. Mironova et al. https://doi.org/10.1029/2018GL079421
6804. A modeling study of global distribution and formation pathways of highly oxygenated organic molecules (HOMs) from monoterpenes X. Shao et al. https://doi.org/10.5194/acp-26-6427-2026
6805. An effective deep learning model for the Pacific decadal oscillation prediction W. Liu et al. https://doi.org/10.1088/2515-7620/ae7b04
6806. Using Multi-Source Data to Assess the Hydrologic Alteration and Extremes under a Changing Environment in the Yalong River Basin Y. He et al. https://doi.org/10.3390/w15071357
6807. Future changes in extreme precipitation in central Asia with 1.5–4°C global warming based on Coupled Model Intercomparison Project Phase 6 simulations J. Zhang & F. Wang https://doi.org/10.1002/joc.7740
6808. Near-term streamed climate information from kilometre-scale global climate models for the wind energy sector A. Lacima-Nadolnik et al. https://doi.org/10.1016/j.egycc.2026.100272
6809. Impacts of climate change on pavement performance: A review of stressors, modeling, and adaptation strategies C. Xiong et al. https://doi.org/10.1016/j.ress.2026.113498
6810. Contrasting high-latitude mixed layer depth trends in Earth System Models and data products and their impact on temporal pCO2 variability C. Danek & J. Hauck https://doi.org/10.1007/s00382-026-08109-z
6811. Projection of the Future Changes in Tropical Cyclone Activity Affecting East Asia over the Western North Pacific Based on Multi-RegCM4 Simulations J. Wu et al. https://doi.org/10.1007/s00376-021-0286-9
6812. The future ozone trends in changing climate simulated with SOCOLv4 A. Karagodin-Doyennel et al. https://doi.org/10.5194/acp-23-4801-2023
6813. Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model S. Koseki et al. https://doi.org/10.5194/bg-21-4149-2024
6814. Assessment of the impact of climate change on streamflow of Ganjiang River catchment via LSTM-based models C. Deng et al. https://doi.org/10.1016/j.ejrh.2024.101716
6815. An Analysis of Runoff Variation in a Small Basin in the Loess Plateau: Identifying the Variation Causes and Implications for Sustainable Water Management W. Li et al. https://doi.org/10.3390/su15129651
6816. New Generation of Climate Models Track Recent Unprecedented Changes in Earth's Radiation Budget Observed by CERES N. Loeb et al. https://doi.org/10.1029/2019GL086705
6817. Modeling and Mapping Habitat Suitability of Highland Bamboo under Climate Change in Ethiopia D. Yebeyen et al. https://doi.org/10.3390/f13060859
6818. A targeted study to determine the conservation status of a Data Deficient montane lizard, the Eungella shadeskink (Saproscincus eungellensis) N. Scott et al. https://doi.org/10.1071/PC24050
6819. Increasing Hurricane Intensification Rate Near the US Atlantic Coast K. Balaguru et al. https://doi.org/10.1029/2022GL099793
6820. The Physical Climate at Global Warming Thresholds as Seen in the U.K. Earth System Model https://doi.org/10.1175/JCLI-D-21-0234.1
6821. Evaluation of East Asian Meiyu from CMIP6/AMIP simulations M. Tong et al. https://doi.org/10.1007/s00382-022-06218-z
6822. Extreme climatic events to intensify over the Lake Victoria Basin under global warming O. Ogega et al. https://doi.org/10.1038/s41598-023-36756-3
6823. Strengthening impact of Indian Ocean Basin Mode on ENSO under greenhouse warming X. Zhao et al. https://doi.org/10.1016/j.gloplacha.2026.105688
6824. A Comparative Study on the Skill of CMIP6 Models to Preserve Daily Spatial Patterns of Monsoon Rainfall Over India A. Mitra https://doi.org/10.3389/fclim.2021.654763
6825. Climate change induced complex shifts in snake distributions expose people to snakebite and threaten biodiversity A. Pintor et al. https://doi.org/10.1371/journal.pntd.0014030
6826. Footprints of Atlantic Multidecadal Oscillation in the Low-Frequency Variation of Extreme High Temperature in the Northern Hemisphere M. Gao et al. https://doi.org/10.1175/JCLI-D-18-0446.1
6827. Les principaux enseignements du 6 e rapport du groupe I du GIEC D. Salas y Mélia https://doi.org/10.3917/re1.106.0011
6828. Reducing uncertainties of climate projections on solar energy resources in Brazil F. de Lima et al. https://doi.org/10.1038/s41598-024-73769-y
6829. 人为气候变化下外源热浪加剧中国热风险 港. 王 et al. https://doi.org/10.1360/N072025-0160
6830. A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package Y. Robin et al. https://doi.org/10.5194/gmd-19-2349-2026
6831. Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere Y. Zhang et al. https://doi.org/10.1038/s41558-022-01374-w
6832. Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models V. Arora et al. https://doi.org/10.5194/bg-17-4173-2020
6833. Estimation of maximum seasonal tropical cyclone damage in the Atlantic using climate models S. Lavender et al. https://doi.org/10.1007/s11069-021-04977-2
6834. Contrary effects of soil moisture-atmosphere feedback on dry and humid heatwaves S. Chen et al. https://doi.org/10.1038/s41467-026-70210-y
6835. Long-term evolution of ocean eddy activity in a warming world N. Beech et al. https://doi.org/10.1038/s41558-022-01478-3
6836. Current and projected patterns of warming and marine heatwaves in the Southern Indian Ocean C. Azarian et al. https://doi.org/10.1016/j.pocean.2023.103036
6837. Projecting climate-driven shifts in Seriola quinqueradiata habitat suitability in Korean waters using ensemble species distribution models D. Sohn et al. https://doi.org/10.3354/meps15225
6838. Subpolar North Atlantic sea surface salinity as an AMOC mean state indicator J. Dai et al. https://doi.org/10.1038/s41612-025-01190-x
6839. AquaCrop–DNDC Modeling of Rice Yield and Greenhouse Gas Emissions Under Alternate Wetting–Drying and Climate Change in Coastal Peru A. Tapia-Nicodemus et al. https://doi.org/10.3390/agronomy16191895
6840. The Effect of Convective Injection of Ice on Stratospheric Water Vapor in a Changing Climate J. Smith et al. https://doi.org/10.1029/2021GL097386
6841. Projected changes in seasonal precipitation extremes over the United States in CMIP6 simulations A. Akinsanola et al. https://doi.org/10.1088/1748-9326/abb397
6842. Hydrological Sustainability of Dam-Based Water Resources in a Mediterranean Basin Undergoing Climate Change N. Montaldo et al. https://doi.org/10.3390/hydrology11120200
6843. On the Effect of Historical SST Patterns on Radiative Feedback T. Andrews et al. https://doi.org/10.1029/2022JD036675
6844. Changes in Sahel summer rainfall in a global warming climate: contrasting the mid-Pliocene and future regional hydrological cycles Z. Han et al. https://doi.org/10.1007/s00382-022-06630-5
6845. Evaluation of CMIP6-based climate projections in Northern Morocco: A bias corrected assessment of temperature and precipitation trends in three mediterranean watersheds Y. Hamdouni et al. https://doi.org/10.1016/j.envc.2026.101430
6846. Reconciling opposite trends in the observed and simulated equatorial Pacific zonal sea surface temperature gradient W. Bai et al. https://doi.org/10.1186/s40562-023-00309-3
6847. Evaluating the impacts of climate change on soil loss using the CMIP6 model and RUSLE in the Muger watershed, Ethiopia K. Tullu & B. Tumsa https://doi.org/10.1007/s12145-024-01536-8
6848. Spatiotemporal dynamics and future projections of aridity in a semi-arid region based on multi-model CMIP6 scenarios H. Jalal et al. https://doi.org/10.1007/s00704-025-05977-z
6849. A Predictive Model of Chlorophyll a in Western Lake Erie Based on Artificial Neural Network Q. Wang & S. Wang https://doi.org/10.3390/app11146529
6850. Producing actionable climate change information for regions: the distillation paradigm and the 3R framework F. Giorgi https://doi.org/10.1140/epjp/s13360-020-00453-1
6851. The potential for structural errors in emergent constraints B. Sanderson et al. https://doi.org/10.5194/esd-12-899-2021
6852. Different Enhancement of the East Asian Summer Monsoon under Global Warming and Interglacial Epochs Simulated by CMIP6 Models: Role of the Subtropical High C. He & W. Zhou https://doi.org/10.1175/JCLI-D-20-0304.1
6853. Potential altitude change of oriental spruce in Türkiye due to global climate change I. Zeren Cetin et al. https://doi.org/10.1007/s11600-025-01699-y
6854. Future changes in Antarctic coastal polynyas and bottom water formation simulated by a high-resolution coupled model H. Jeong et al. https://doi.org/10.1038/s43247-023-01156-y
6855. Strategies for resilient climate in smart cities mediated by Nash equilibrium and autonomous decision-makers C. Latha & M. Alvarado-Mentado https://doi.org/10.1016/j.jenvman.2026.130285
6856. Multiple regional climate model projections to assess building thermal performance in Brazil: Understanding the uncertainty M. Bracht et al. https://doi.org/10.1016/j.jobe.2024.109248
6857. Evaluating the Historical Performance and Future Change in Extreme Precipitation Indices over the Missouri River Basin Based on NA-CORDEX Multimodel Ensemble I. Achugbu et al. https://doi.org/10.3390/atmos16050579
6858. Anthropogenic emissions and land use/cover change contributions to extreme temperature changes over China W. Xu et al. https://doi.org/10.1016/j.atmosres.2023.106845
6859. Impact of climate change on irrigation water requirements for coffee plants in the fruit development stage: a case study of Dak Lak and Gia Lai provinces in the Central Highlands of Vietnam L. Tran https://doi.org/10.2166/ws.2023.330
6860. 气候变化下陆地产氧量变化 磊. 丁 et al. https://doi.org/10.1360/N072021-0315
6861. Projection of Thermal Bioclimate of Egypt for the Paris Agreement Goals M. Hamed et al. https://doi.org/10.3390/su142013259
6862. Grid-based optimization for irrigation and water quality synergies Y. Chen et al. https://doi.org/10.1016/j.jhydrol.2026.136460
6863. Future trends in the vertical structure of Arctic warming and moistening in different emission scenarios H. Nie et al. https://doi.org/10.1016/j.atmosres.2024.107271
6864. Ocean surface current multiscale observation mission (OSCOM): Simultaneous measurement of ocean surface current, vector wind, and temperature Y. Du et al. https://doi.org/10.1016/j.pocean.2021.102531
6865. Ocean dynamics amplify remote warming effects of reforestation P. Banville et al. https://doi.org/10.5194/esd-17-1315-2026
6866. Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model S. Tafasca et al. https://doi.org/10.5194/hess-24-3753-2020
6867. Projected impact of solar radiation modification geoengineering on water deficit risk over major Central African river basins T. Fotso-Nguemo et al. https://doi.org/10.1088/1748-9326/ad657d
6868. Défis environnementaux émergents S. Mondon https://doi.org/10.3917/pstrat.008.0027
6869. Projected changes in seasonal and extreme summertime temperature and precipitation in India in response to COVID-19 recovery emissions scenarios J. D’Souza et al. https://doi.org/10.1088/1748-9326/ac2f1b
6870. Climate models show colorado drying sooner and with greater certainty east of the continental divide A. Rugg et al. https://doi.org/10.1088/2515-7620/ae05f6
6871. Statistical Aspects of Quantitative Estimation of Polar Amplification. Part 1: The Ratio of Trends R. Bekryaev https://doi.org/10.3103/S1068373922060012
6872. Response of tropical cyclones to global warming: Super Typhoon Usagi in the Western Pacific Ocean Q. Sun et al. https://doi.org/10.1016/j.atmosres.2025.108495
6873. Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. https://doi.org/10.1038/s41467-023-37847-5
6874. Arctic Climate Threat Indicator Set for Municipal Decision-Making J. Tafrate & K. Nyland https://doi.org/10.1016/j.cliser.2025.100610
6875. The Response of Northern Hemisphere Polar Lows to Climate Change in a 25 km High‐Resolution Global Climate Model H. Bresson et al. https://doi.org/10.1029/2021JD035610
6876. Future changes of global Annual and Seasonal Wind-Energy Production in CMIP6 projections considering air density variation G. Esnaola et al. https://doi.org/10.1016/j.energy.2024.132706
6877. A structural correction to atmospheric evaporative demand narrows the gap between offline aridity diagnostics and Earth system model projections D. Kim & M. Choi https://doi.org/10.1038/s41612-025-01306-3
6878. Evaluating Changes in the Multiyear Predictability of the Pacific Decadal Oscillation Using Model Analogs since 1900 Y. Wu & X. Yan https://doi.org/10.3390/jmse11050980
6879. Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations M. Ahn et al. https://doi.org/10.1038/s41612-024-00685-3
6880. Distinctive changes of Asian–African summer monsoon in interglacial epochs and global warming scenario Y. Wang et al. https://doi.org/10.1007/s00382-023-07013-0
6881. The Contributions of Deep and Shallow Convection to Tropical Precipitation Interannual Variability and Its Changes under Global Warming J. Tang et al. https://doi.org/10.1007/s00376-026-5580-0
6882. Integrating glacio-hydrological and power grid models to assess the climate-resiliency of high mountain hydropower in Nepal K. Gyanwali et al. https://doi.org/10.1016/j.rser.2023.113433
6883. Temperature effects on carbon storage are controlled by soil stabilisation capacities I. Hartley et al. https://doi.org/10.1038/s41467-021-27101-1
6884. Design flood projections for ungauged catchments using updated unit hydrographs under climate change scenarios A. Goel & V. Srinivas https://doi.org/10.1007/s00477-025-02994-2
6885. An Introduction to the Synthesis Community Integrated Model Version 2 (SYCIM2.0) and Its Simulation of the East Asian Summer Monsoon W. Liang et al. https://doi.org/10.1007/s00376-024-4178-7
6886. Neglecting future sporadic volcanic eruptions underestimates climate uncertainty M. Chim et al. https://doi.org/10.1038/s43247-025-02208-1
6887. Global Investigation of Soil Moisture and Latent Heat Flux Coupling Strength F. Lei et al. https://doi.org/10.1029/2018WR023469
6888. Climate Trends and Future Scenarios in Afghanistan: Implications for Greenhouse Gas Emissions, Renewable Energy Potential, and Sustainable Development N. Akhundzadah https://doi.org/10.3390/en19041067
6889. Global, Arctic, and Antarctic sea ice volume predictions using score-driven threshold climate models S. Blazsek et al. https://doi.org/10.1016/j.eneco.2024.107591
6890. Vegetation responses to air dryness amplify future land surface warming J. Green et al. https://doi.org/10.1038/s41467-026-73063-7
6891. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui https://doi.org/10.5194/gmd-15-951-2022
6892. Coordinated optimization design of buildings and regional integrated energy systems based on load prediction in future climate conditions J. Ran et al. https://doi.org/10.1016/j.applthermaleng.2024.122338
6893. Scenario Forecasts of the Climate Change in Belarus Based on Regionally Adapted Ensembles of CMIP6 Climate Models S. Lysenko https://doi.org/10.3103/S1068373925070052
6894. An interdisciplinary model chain quantifies the footprint of global change on reservoir sedimentation K. Mouris et al. https://doi.org/10.1038/s41598-023-47501-1
6895. Simulation of Northern Winter Stratospheric Polar Vortex Regimes in CESM2-WACCM D. Guo et al. https://doi.org/10.3390/atmos14020243
6896. Assessing Climate Change Impacts on Groundwater Recharge and Storage Using MODFLOW in the Akhangaran River Alluvial Aquifer, Eastern Uzbekistan A. Kadirkhodjaev et al. https://doi.org/10.3390/w17152291
6897. MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6 B. Stevens et al. https://doi.org/10.5194/gmd-10-433-2017
6898. High temporal variability not trend dominates Mediterranean precipitation S. Vicente-Serrano et al. https://doi.org/10.1038/s41586-024-08576-6
6899. Future Retreat of Great Aletsch Glacier and Hintereisferner – application of a full-Stokes model to two valley glaciers in the European Alps M. Rückamp et al. https://doi.org/10.5194/tc-20-2999-2026
6900. Assessing the Future of Droughts Using Relative Standardized Indices: Insights from the Nakanbé River Basin, West Africa T. Fowé et al. https://doi.org/10.1007/s41748-026-01057-y
6901. Evaluation of Summer Non‐Uniform Multidecadal Temperature Variations Over Eurasia in CMIP6 Models Y. Hu & W. Hua https://doi.org/10.1029/2023JD039267
6902. Predicted Global Redistribution of Lagria nigricollis (Coleoptera: Tenebrionidae) Under Future Climate Change M. Zhao et al. https://doi.org/10.3390/insects16121227
6903. The observed September 2023 temperature jump was nearly impossible under standard anthropogenic forcing S. Seeber et al. https://doi.org/10.1038/s43247-026-03178-8
6904. Representation of moist convective processes in Coupled Model Intercomparison Project Phase 5 and Phase 6 models for the simulation of Indian summer monsoon intraseasonal variability S. Tirkey et al. https://doi.org/10.1002/joc.7765
6905. Global land footprint of UK food and feed imports under future socioeconomic scenarios B. Arendarczyk et al. https://doi.org/10.1371/journal.pone.0352499
6906. Comparison of the Heights of Sporadic E Layers and Vertical Ion Convergence Parameters Y. Yu et al. https://doi.org/10.3390/rs15245674
6907. The Labrador Sea as a conduit for AMOC lower-limb transport anomalies on multiple timescales J. Chen & M. Lozier https://doi.org/10.1038/s41467-026-77271-z
6908. Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature M. Rugenstein & M. Hakuba https://doi.org/10.1029/2022GL101802
6909. European projections of West Nile virus transmission under climate change scenarios Z. Farooq et al. https://doi.org/10.1016/j.onehlt.2023.100509
6910. The changing role of dust and open fires PM2.5 on Africa’s air quality and human health A. Aboagye-Okyere et al. https://doi.org/10.1088/1748-9326/adf07e
6911. Climate Change Impact on Photovoltaic Production From the Perspective of Climate Models: a Systematic Review N. Araújo et al. https://doi.org/10.24857/rgsa.v18n10-257
6912. A multi-model assessment of global freshwater temperature and thermoelectric power supply under climate change E. Jones et al. https://doi.org/10.1088/3033-4942/addffa
6913. Spatio-temporal variations of dryness/wetness over Northwest China under different SSPs-RCPs J. Qin et al. https://doi.org/10.1016/j.atmosres.2021.105672
6914. Estimating unprecedented extremes in UK summer daily rainfall C. Kent et al. https://doi.org/10.1088/1748-9326/ac42fb
6915. Future drought projections with CMIP6 in Eğirdir Lake basin (Türkiye) E. Şener & A. Davraz https://doi.org/10.1007/s11069-025-07573-w
6916. Attribution of the human influence on heavy rainfall associated with flooding events during the 2012, 2016, and 2018 March-April-May seasons in Kenya J. Kimutai et al. https://doi.org/10.1016/j.wace.2022.100529
6917. Northern Hemisphere winter atmospheric teleconnections are intensified by extratropical ocean-atmosphere coupling M. Mori et al. https://doi.org/10.1038/s43247-024-01282-1
6918. Assessing the impact of climate change on groundwater recharge in the Lower Campaspe River Basin R. Adhikari et al. https://doi.org/10.2166/wcc.2026.304
6919. Evaluation of simulated responses to climate forcings: a flexible statistical framework using confirmatory factor analysis and structural equation modelling – Part 1: Theory K. Lashgari et al. https://doi.org/10.5194/ascmo-8-225-2022
6920. The MJO-QBO Relationship in a GCM with Stratospheric Nudging Z. Martin et al. https://doi.org/10.1175/JCLI-D-20-0636.1
6921. Reconciling the climate and ozone response to the 1257 CE Mount Samalas eruption D. Wade et al. https://doi.org/10.1073/pnas.1919807117
6922. Potential heat-risk avoidance from nationally determined emission reductions targets in the future F. Wang et al. https://doi.org/10.1088/1748-9326/ac66f4
6923. Can Septic-System Management Practices Outweigh Climatic and Anthropogenic Drivers of Phosphorus-induced Lake Eutrophication? C. Oniga et al. https://doi.org/10.1016/j.jes.2026.105565
6924. Optimizing wheat production under climate change in Jiangsu Province, China: A multi-scenario socio-economic assessment J. Chauhdary et al. https://doi.org/10.1016/j.agwat.2026.110553
6925. Future constraints and trends of the air-sea CO2 flux in the South-East Pacific region: a CMIP6 evaluation A. Bahamondes Domínguez et al. https://doi.org/10.3389/fmars.2026.1755225
6926. A New Graphical Method to Diagnose the Impacts of Model Changes on Climate Sensitivity S. JAIN et al. https://doi.org/10.2151/jmsj.2021-021
6927. Significant contribution of internal variability to recent Barents–Kara sea ice loss in winter P. Siew et al. https://doi.org/10.1038/s43247-024-01582-6
6928. Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date D. Xiao et al. https://doi.org/10.1007/s11027-022-09995-4
6929. Ensemble Numerical Experiments with Earth System Models A. Eliseev https://doi.org/10.1007/s11141-026-10472-0
6930. Robust impact of tropical Pacific SST trends on global and regional circulation in boreal winter J. Kang et al. https://doi.org/10.1038/s41612-025-01192-9
6931. Beyond Stationarity: The FARO Framework for Quantifying Adaptive Operational Risk in Marine Spatial Planning J. Paulo & T. Santos https://doi.org/10.3390/su172310779
6932. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. https://doi.org/10.1016/j.accre.2021.07.007
6933. Forced changes in a Tibetan lake ecosystem over the past millennium W. Kang et al. https://doi.org/10.1038/s41467-026-74760-z
6934. Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates E. Chung et al. https://doi.org/10.1038/s43247-024-01510-8
6935. Beyond the recharge/discharge paradigm: Pacific meridional mode acts as a critical driver for multi-year La Niña events L. Shi et al. https://doi.org/10.1088/1748-9326/ae3dfe
6936. Connection of spring Middle East climate variability to western Pacific convection in climate models: bias evaluation and future projection M. Xia et al. https://doi.org/10.1007/s00382-025-07946-8
6937. Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model Y. Wang et al. https://doi.org/10.3389/fclim.2022.918572
6938. CAS-ESM2.0 Dataset for the G1ext Experiment of the Geoengineering Model Intercomparison Project (GeoMIP) M. Cui et al. https://doi.org/10.1007/s00376-024-4177-8
6939. The projected future degradation in air quality is caused by more abundant natural aerosols in a warmer world J. Gomez et al. https://doi.org/10.1038/s43247-023-00688-7
6940. The first ice-free day in the Arctic Ocean could occur before 2030 C. Heuzé & A. Jahn https://doi.org/10.1038/s41467-024-54508-3
6941. Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer https://doi.org/10.3390/atmos12111462
6942. Enhanced Climate Response to Ozone Depletion From Ozone‐Circulation Coupling P. Lin & Y. Ming https://doi.org/10.1029/2020JD034286
6943. Climate stress impacts on livestock health: Implications for farming livelihoods and animal disease in Karnataka, India A. Eskdale et al. https://doi.org/10.1079/cabionehealth.2022.0009
6944. Assessment of thermocline depth bias in the Seychelles-Chagos Thermocline Ridge of the Southwestern Indian Ocean simulated by the CMIP6 models S. Mubarrok et al. https://doi.org/10.3389/fmars.2023.1239885
6945. Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere J. Luo et al. https://doi.org/10.1016/j.accre.2024.03.001
6946. The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500 M. Meinshausen et al. https://doi.org/10.5194/gmd-13-3571-2020
6947. Local biophysical climate feedback from vegetation responses to lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41612-025-01310-7
6948. Enhanced impact of future temperature on Northern Hemisphere snowfall L. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134194
6949. An updated version of a gap-free monthly mean zonal mean ozone database B. Hassler et al. https://doi.org/10.5194/essd-10-1473-2018
6950. Weakening of decadal variation of Northern Hemisphere land monsoon rainfall under global warming Y. Jiang et al. https://doi.org/10.1038/s41612-023-00441-z
6951. Rainfall Extreme Indicators Trend and Meteorological Drought Changes Under Climate Change Scenarios M. Tavosi et al. https://doi.org/10.1007/s11269-024-03871-3
6952. Simulation of the climate and ocean circulations in the Middle Miocene Climate Optimum by a coupled model FGOALS-g3 J. Wei et al. https://doi.org/10.1016/j.palaeo.2023.111509
6953. Air quality improvements are projected to weaken the Atlantic meridional overturning circulation through radiative forcing effects T. Hassan et al. https://doi.org/10.1038/s43247-022-00476-9
6954. Modeling the Present and Future Geographical Distribution Potential of Dipteronia dyeriana, a Critically Endangered Species from China M. Yan et al. https://doi.org/10.3390/d16090545
6955. The impact of carbon neutrality timing on climate extremes in East Asia H. Sung et al. https://doi.org/10.15531/KSCCR.2024.15.5.857
6956. Evolving Southern Ocean overturning in warming climates T. Zhu & W. Liu https://doi.org/10.1038/s41467-025-65389-5
6957. Future Changes in the Global and Regional Sea Level Rise and Sea Surface Temperature Based on CMIP6 Models H. Sung et al. https://doi.org/10.3390/atmos12010090
6958. Future Changes of PNA-like MJO Teleconnections in CMIP6 Models: Underlying Mechanisms and Uncertainty J. Wang et al. https://doi.org/10.1175/JCLI-D-21-0445.1
6959. Assessing future drought evolution and driving mechanisms in the Weigan River Basin under CMIP6 climate scenarios W. Wenbo et al. https://doi.org/10.1016/j.jaridl.2026.02.003
6960. Future increase of filamentous cyanobacteria in coastal Baltic Sea predicted by multiple realm models of marine, terrestrial, and climate change scenarios M. Abdelgadir et al. https://doi.org/10.1016/j.ecoinf.2025.103439
6961. Joint impacts of winter North Pacific Oscillation and early spring Aleutian Low intensity on the following winter ENSO S. Chen et al. https://doi.org/10.1007/s00382-023-06922-4
6962. Uncertainty in Simulating Twentieth Century West African Precipitation Trends: The Role of Anthropogenic Aerosol Emissions P. Monerie et al. https://doi.org/10.1029/2022EF002995
6963. Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation Y. Cheng et al. https://doi.org/10.1002/env.70101
6964. Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities S. Wang et al. https://doi.org/10.1016/j.scs.2022.103889
6965. Arctic soil carbon insulation averts large spring cooling from surface–atmosphere feedbacks R. Gaillard et al. https://doi.org/10.1073/pnas.2410226122
6966. Global climate response to idealized deforestation in CMIP6 models L. Boysen et al. https://doi.org/10.5194/bg-17-5615-2020
6967. Hydrological drivers of hydrogen cyanide wildfire emissions from Indonesian peat fires during the 2015, 2019, and 2023 El Niño events A. Bruno et al. https://doi.org/10.5194/acp-26-12925-2026
6968. The impacts of climate change on meteorological drought in the Central Highlands region of Vietnam T. Quoc Lap https://doi.org/10.2166/hydro.2024.182
6969. An Assessment of Climate Feedbacks in Observations and Climate Models Using Different Energy Balance Frameworks L. Chao & A. Dessler https://doi.org/10.1175/JCLI-D-21-0226.1
6970. A Simple Coupled Model of the Wind–Evaporation–SST Feedback with a Role for Stability K. Karnauskas https://doi.org/10.1175/JCLI-D-20-0895.1
6971. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. https://doi.org/10.1029/2021WR031817
6972. Global temperature shocks and real exchange rates S. Lee et al. https://doi.org/10.1016/j.jclimf.2022.100004
6973. Assessing temporal and spatial generalization of LSTMs for streamflow modeling in French watersheds with and without European training data M. Puche et al. https://doi.org/10.1016/j.ejrh.2025.103022
6974. Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence M. Amos et al. https://doi.org/10.5194/acp-20-9961-2020
6975. Ozone sensitivity to varying greenhouse gases and ozone-depleting substances in CCMI-1 simulations O. Morgenstern et al. https://doi.org/10.5194/acp-18-1091-2018
6976. Integrating deep learning, drought indices, and CMIP6 climate scenarios for future drought prediction across Iran S. Lotfi et al. https://doi.org/10.1016/j.rineng.2026.113121
6977. Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al. https://doi.org/10.5194/gmd-18-2861-2025
6978. Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl C. Teitelbaum et al. https://doi.org/10.1371/journal.pcbi.1013451
6979. Too cold, too saturated? Evaluating climate models at the gateway to the Arctic F. Pithan et al. https://doi.org/10.5194/acp-25-3269-2025
6980. Optimized afforestation reduces flood risk and limits water loss in Europe S. El Garroussi et al. https://doi.org/10.1038/s44458-026-00057-3
6981. Projection of temperature and precipitation under SSPs-RCPs Scenarios over northwest China J. Qin et al. https://doi.org/10.1007/s11707-020-0847-8
6982. Investigating future climate change impacts on streamflow and drought characterization in the Arno River basin, Tuscany, Italy, using CMIP6 and SWAT+ modelling H. Talpur et al. https://doi.org/10.1016/j.watcyc.2026.03.006
6983. Future Projections of Sea Surface Temperature (SST) in the MDR and Wider Caribbean Region: Utilising CMIP6 GCM Ensembles K. Hibbert et al. https://doi.org/10.1002/joc.70206
6984. Evaluating historical climate extremes in the FGOALS-g3 large ensemble in the presence of internal climate variability W. Zhang et al. https://doi.org/10.1007/s00382-023-06842-3
6985. Long run emulator calibration increases warming and sea-level rise projections C. Wells et al. https://doi.org/10.1088/1748-9326/ae3847
6986. Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century G. Zhang et al. https://doi.org/10.1029/2022EF002652
6987. Dansgaard–Oeschger events in climate models: review and baseline Marine Isotope Stage 3 (MIS3) protocol I. Malmierca-Vallet & L. Sime https://doi.org/10.5194/cp-19-915-2023
6988. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
6989. A simple approach to evaluate future urban water demand under changing climate, population, and local policies in data-scarce regions M. Achkar et al. https://doi.org/10.2166/wcc.2026.441
6990. Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100 Y. Quilcaille et al. https://doi.org/10.5194/essd-15-2153-2023
6991. Observed and CMIP6-model-simulated organic aerosol response to drought in the contiguous United States during summertime W. Li & Y. Wang https://doi.org/10.5194/acp-24-9339-2024
6992. Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model C. Delgado‐Torres et al. https://doi.org/10.1029/2022JD036673
6993. Crabs of the Barents Sea under Climate Change S. Bakanev https://doi.org/10.1134/S0001437025700742
6994. Arctic Amplification of Precipitation Changes—The Energy Hypothesis F. Pithan & T. Jung https://doi.org/10.1029/2021GL094977
6995. Performance of CMIP5 and CMIP6 models in reproducing the Interdecadal Pacific Oscillation and its global impacts Z. Qin et al. https://doi.org/10.1002/joc.8548
6996. Climate response to introduction of the ESA CCI land cover data to the NCAR CESM S. Liu et al. https://doi.org/10.1007/s00382-021-05690-3
6997. Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model D. Kramel et al. https://doi.org/10.1021/acs.est.1c03937
6998. The effect of green infrastructure on resilience performance in combined sewer systems under climate change M. Rodriguez et al. https://doi.org/10.1016/j.jenvman.2024.120229
6999. Potential impact of tropopause sharpness on the structure and strength of the general circulation L. Boljka & T. Birner https://doi.org/10.1038/s41612-022-00319-6
7000. A New Halocarbon Absorption Model Based on HITRAN Cross‐Section Data and New Estimates of Halocarbon Instantaneous Clear‐Sky Radiative Forcing S. Buehler et al. https://doi.org/10.1029/2022MS003239
7001. Projections of future climate for U.S. national assessments: past, present, future S. Basile et al. https://doi.org/10.1007/s10584-025-03888-6
7002. Predicting habitat suitability of selected Meloidae species and future potential refugia: A case study from inner Western Anatolia M. Demir & M. Kabalak https://doi.org/10.1111/icad.70092
7003. Geographic redistribution of microcystin hotspots in response to climate warming J. Merder et al. https://doi.org/10.1038/s44221-023-00138-w
7004. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles M. Zumwald et al. https://doi.org/10.1002/wcc.654
7005. Adjustments to an abrupt solar forcing in the CMIP6 abrupt-solm4p experiment C. Lange & J. Quaas https://doi.org/10.5194/acp-25-10337-2025
7006. Marine heatwaves in the Western North Pacific Region: Historical characteristics and future projections W. Sun et al. https://doi.org/10.1016/j.dsr.2023.104161
7007. Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. https://doi.org/10.5194/esd-11-139-2020
7008. Machine learning‐based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change V. Kartal https://doi.org/10.1002/hyp.15204
7009. To what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China? Z. Jin et al. https://doi.org/10.3389/feart.2022.1003748
7010. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. https://doi.org/10.5194/acp-19-2965-2019
7011. Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble L. Mudryk et al. https://doi.org/10.5194/tc-14-2495-2020
7012. A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data A. Wu et al. https://doi.org/10.1080/20964471.2021.1981197
7013. Robust detection of forced warming in the presence of potentially large climate variability S. Sippel et al. https://doi.org/10.1126/sciadv.abh4429
7014. Uncertainties in projections of climate extremes indices in South America via Bayesian inference C. Gouveia et al. https://doi.org/10.1002/joc.7650
7015. Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models G. Chen et al. https://doi.org/10.1029/2021JD036422
7016. A Holistic View of Climate Sensitivity N. Jeevanjee et al. https://doi.org/10.1146/annurev-earth-040523-014302
7017. Evaluation of Soil Moisture in CMIP6 Simulations L. Qiao et al. https://doi.org/10.1175/JCLI-D-20-0827.1
7018. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. https://doi.org/10.3390/atmos14061015
7019. Rising cause-specific mortality risk and burden of compound heatwaves amid climate change J. Liu et al. https://doi.org/10.1038/s41558-024-02137-5
7020. The offshore wind speed changes in China: an insight into CMIP6 model simulation and future projections K. Deng et al. https://doi.org/10.1007/s00382-023-07066-1
7021. Predicting the potential habitat of bears under a changing climate in Nepal R. Baral et al. https://doi.org/10.1007/s10661-024-13253-2
7022. Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. https://doi.org/10.1016/j.jhydrol.2023.129137
7023. GCMeval – An interactive tool for evaluation and selection of climate model ensembles K. Parding et al. https://doi.org/10.1016/j.cliser.2020.100167
7024. An Evaluation of CMIP6 Models in Representing the Biophysical Effects of Deforestation With Satellite‐Based Observations X. Luo et al. https://doi.org/10.1029/2022JD038198
7025. Origins of Multidecadal SST Variations in the Southern Atlantic and Indian Oceans Since the 1960s X. Gao et al. https://doi.org/10.1029/2022GL101735
7026. Seasonal Variation of Wet Deposition of Black Carbon in Arctic Alaska T. Mori et al. https://doi.org/10.1029/2019JD032240
7027. ENSO atmospheric feedbacks under global warming and their relation to mean-state changes T. Bayr & M. Latif https://doi.org/10.1007/s00382-022-06454-3
7028. Sub-seasonal to seasonal drivers of dry extreme rainfall events over Northeast Thailand A. Abatan et al. https://doi.org/10.3389/fclim.2022.1031226
7029. Direct and indirect effects of CO2increase on crop yield in West Africa B. Sultan et al. https://doi.org/10.1002/joc.5960
7030. Climate-vegetation regimes dominate the divergent ecosystem responses to flash droughts in China B. Yuan et al. https://doi.org/10.1016/j.fmre.2026.04.003
7031. Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models W. Li et al. https://doi.org/10.1007/s13351-022-1112-8
7032. Emergence time of CO2-forced European summer climate trends M. St-Pierre et al. https://doi.org/10.1038/s41598-026-44761-5
7033. Hydrological response to future climate change in a mountainous watershed in the Northeast of Tibetan Plateau Z. Chen et al. https://doi.org/10.1016/j.ejrh.2022.101256
7034. Extreme weather events in southern Brazil warn of agricultural collapse R. Nóia-Júnior et al. https://doi.org/10.1016/j.nexres.2025.100217
7035. Upper Danube low flow in the Anthropocene: Simulating impacts and changes from 1870 to 2100 P. Stanzel et al. https://doi.org/10.1016/j.ejrh.2026.103862
7036. Assessing Climate Change Effects on Winter Wheat Production in the 3H Plain: Insights from Bias-Corrected CMIP6 Projections Y. Xu et al. https://doi.org/10.3390/agriculture14030469
7037. An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison M. Zhang et al. https://doi.org/10.5194/gmd-14-3079-2021
7038. Committed and irreversible humid heat stress risk in China despite carbon dioxide removal Q. Ma et al. https://doi.org/10.1038/s43247-026-03624-7
7039. Soil Carbon Losses Reduce Soil Moisture in Global Climate Model Simulations S. McDermid et al. https://doi.org/10.1175/EI-D-22-0003.1
7040. Evaluating the Sensitivity of Growing Degree Days as an Agro-Climatic Indicator of the Climate Change Impact: A Case Study of the Russian Far East E. Grigorieva https://doi.org/10.3390/atmos11040404
7041. Increased water availability and high flows in an ungauged Kenyan catchment: A comprehensive SWAT+ model evaluation for climate change assessment P. Sarmiento et al. https://doi.org/10.1016/j.ejrh.2025.102497
7042. Quantification of human contribution to soil moisture-based terrestrial aridity Y. Wang et al. https://doi.org/10.1038/s41467-022-34071-5
7043. Desert ecosystems in China: Past, present, and future X. Wang et al. https://doi.org/10.1016/j.earscirev.2022.104206
7044. Enhanced seasonal contrast of surface mixed layer depth in the North Indian Ocean under a CO2 removal scenario S. Long et al. https://doi.org/10.1186/s40562-025-00383-9
7045. The climate change perspective of photovoltaic power potential in Brazil C. Zuluaga et al. https://doi.org/10.1016/j.renene.2022.05.029
7046. Future changes in regional inter-monthly precipitation patterns of the East Asian summer monsoon and associated uncertainty factors Y. Kim & S. Min https://doi.org/10.5194/esd-16-1135-2025
7047. Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region C. Mu et al. https://doi.org/10.1038/s41467-025-58716-3
7048. Assessment of winter three-dimensional extreme cold events over the Northern Hemisphere during 1959–2020 based on CMIP6 models X. Wang et al. https://doi.org/10.1007/s00382-025-07831-4
7049. Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles T. Loughran et al. https://doi.org/10.1029/2023JG007605
7050. Brief Communication: Drivers of the recent warming of the Mediterranean Sea, and its implications for hail risk S. Cusack & T. Cox https://doi.org/10.5194/nhess-25-2963-2025
7051. Climate metrics for modelling conditions on pilgrimages in Ethiopia J. Richards & P. Brimblecombe https://doi.org/10.1038/s40494-025-01894-6
7052. Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
7053. Recent southwestern US drought exacerbated by anthropogenic aerosols and tropical ocean warming Y. Kuo et al. https://doi.org/10.1038/s41561-025-01728-x
7054. Quantifying the influence of short-term emission reductions on climate J. Fyfe et al. https://doi.org/10.1126/sciadv.abf7133
7055. The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2 P. Shi et al. https://doi.org/10.5194/gmd-17-3025-2024
7056. The Subsurface and Surface Indian Ocean Dipoles and Their Association with ENSO in CMIP6 models G. Song & R. Ren https://doi.org/10.1007/s00376-022-2086-2
7057. Projected Changes to Wintertime Air‐Sea Turbulent Heat Fluxes Over the Subpolar North Atlantic Ocean C. Barrell et al. https://doi.org/10.1029/2022EF003337
7058. Storylines of South Pacific Convergence Zone Changes in a Warmer World S. Narsey et al. https://doi.org/10.1175/JCLI-D-21-0433.1
7059. Comparison of the risks and drivers of compound hot-dry and hot-wet extremes in a warming world J. Zeng et al. https://doi.org/10.1088/1748-9326/ad7617
7060. The Response of Maximum Freezing Depth in the Permafrost Region of the Source Region of the Yellow River to Ground Temperature Change X. Bai & W. Wang https://doi.org/10.3390/atmos16121399
7061. Should we think of observationally constrained multidecade climate projections as predictions? T. Li et al. https://doi.org/10.1126/sciadv.adt6485
7062. Projection on elevation-dependent and latitude-dependent warming over Antarctica from CMIP6 under different socioeconomic scenarios J. Zhu et al. https://doi.org/10.1016/j.gloplacha.2023.104327
7063. Simulation of Indian summer monsoon rainfall, interannual variability and teleconnections: evaluation of CMIP6 models K. Rajendran et al. https://doi.org/10.1007/s00382-021-06027-w
7064. Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. https://doi.org/10.1029/2020GL089074
7065. The Improvement of the Discrete Wavelet Transform Z. Zhang https://doi.org/10.3390/math11081770
7066. Causes of Differences in the Tropical Pacific SST Warming Pattern Projected by CMIP6 Models J. Ying et al. https://doi.org/10.1007/s00376-024-4278-4
7067. Climate change and irrigation expansion reshape the water pressure and upstream–downstream interactions in the Lancang–Mekong River Basin H. Zhao et al. https://doi.org/10.5194/hess-30-2433-2026
7068. Permafrost sensitivity to soil hydro-thermodynamics in historical and scenario simulations with the MPI-ESM F. García-Pereira et al. https://doi.org/10.5194/tc-19-5959-2025
7069. An assessment of basal melt parameterisations for Antarctic ice shelves C. Burgard et al. https://doi.org/10.5194/tc-16-4931-2022
7070. The southward shift of hurricane genesis over the northern Atlantic Ocean X. Cao et al. https://doi.org/10.1038/s41612-025-00923-2
7071. Anticipating the effects of climate warming and natural habitat conversion on waterbird communities to address protection gaps F. Verniest et al. https://doi.org/10.1016/j.biocon.2023.109939
7072. Estimating runoff and erosion on forest roads under various climate projections in Florida Panhandle region, USA J. Chen et al. https://doi.org/10.1016/j.jenvman.2025.128207
7073. Global climate-driven sea surface temperature and chlorophyll dynamics R. Venegas et al. https://doi.org/10.1016/j.marenvres.2024.106856
7074. Crossbreeding CMIP6 Earth System Models With an Emulator for Regionally Optimized Land Temperature Projections L. Beusch et al. https://doi.org/10.1029/2019GL086812
7075. Climate impacts on global agriculture emerge earlier in new generation of climate and crop models J. Jägermeyr et al. https://doi.org/10.1038/s43016-021-00400-y
7076. Historical sensible-heat-flux variations key to predicting future hydrologic sensitivity J. Norris et al. https://doi.org/10.1038/s41612-024-00676-4
7077. Nonstationary fuzzy forecasting of wind and wave climate in very long-term scales C. Stefanakos & E. Vanem https://doi.org/10.1016/j.joes.2018.04.001
7078. Exploring germination requirements of Iva xanthiifolia: Implications for potential spread in Europe N. Nikolić & R. Masin https://doi.org/10.1016/j.stress.2023.100312
7079. An Assessment of the Temporal Variability in the Annual Cycle of Daily Antarctic Sea Ice in the NCAR Community Earth System Model, Version 2: A Comparison of the Historical Runs With Observations M. Raphael et al. https://doi.org/10.1029/2020JC016459
7080. Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia F. Enyew et al. https://doi.org/10.3390/cli12110169
7081. Predicting the future distributions of Calomicrus apicalis Demaison, 1891 (Coleoptera: Chrysomelidae) under climate change İ. Şen et al. https://doi.org/10.1007/s41348-022-00579-7
7082. Water Security in an Uncertain Future: Contrasting Realities from an Availability-Demand Perspective J. Sone et al. https://doi.org/10.1007/s11269-022-03160-x
7083. Future spatiotemporal inequality of precipitation extreme in monsoon-driven country using Gini coefficient and random forest model Q. Li et al. https://doi.org/10.1007/s00704-025-05616-7
7084. Pitfalls in diagnosing temperature extremes L. Brunner & A. Voigt https://doi.org/10.1038/s41467-024-46349-x
7085. Attributing the Decline of Evapotranspiration over the Asian Monsoon Region during the Period 1950–2014 in CMIP6 Models X. Zhu et al. https://doi.org/10.3390/rs16112027
7086. Decadal Runoff Variability Under Moderate and Extreme Climate Scenarios: A SWAT Modeling Study for a Postglacial Lowland Catchment (NW Poland) M. Majewski et al. https://doi.org/10.3390/w18030419
7087. Large-scale aggregation of humid heatwaves exacerbated by coastal oceanic warming F. Cai et al. https://doi.org/10.1038/s41561-026-01952-z
7088. Evaluation of Soil Moisture in CMIP6 Multimodel Simulations Over Conterminous China A. Wang et al. https://doi.org/10.1029/2022JD037072
7089. Comprehensive assessment of CMIP5 and CMIP6 models in simulating and projecting precipitation over the global land Y. Du et al. https://doi.org/10.1002/joc.7616
7090. High Flux of Small Sulfate Aerosols During the 1970s Reconstructed From the SE‐Dome Ice Core in Greenland Y. Iizuka et al. https://doi.org/10.1029/2022JD036880
7091. Simulated Thermocline Tilt Over the Tropical Indian Ocean and Its Influence on Future Sea Surface Temperature Variability G. Wang et al. https://doi.org/10.1029/2020GL091902
7092. The future of global Ramsar wetlands under intensifying precipitation extremes: Arid regions as emerging hotspots D. Mishra et al. https://doi.org/10.1016/j.eiar.2025.108275
7093. Transport of warm bias from Indian Ocean subsurface to Southern Ocean surface in Coupled Model Intercomparison Project phase 6 models L. Ma et al. https://doi.org/10.1038/s43247-026-03705-7
7094. Global insect herbivory and its response to climate change M. Liu et al. https://doi.org/10.1016/j.cub.2024.04.062
7095. Estimation of non-stationary return levels of extreme temperature by CMIP6 models T. Mohammadi et al. https://doi.org/10.2166/wpt.2024.010
7096. El Niño Magnitude and Western Pacific Warm Pool Displacement. Part II: Future Changes Under Global Warming Z. Gu & D. Sun https://doi.org/10.3390/cli13050097
7097. Unraveling the roles of decreased Tibetan Plateau snow cover on summer prolonged marine heatwaves in the Yellow Sea‒Bohai Sea X. Jia et al. https://doi.org/10.1016/j.accre.2025.07.004
7098. Hybrid AI–Physics Modeling for Climate-Resilient Maize Production: Integrating DSSAT and Machine Learning A. Zeleke https://doi.org/10.1016/j.atech.2026.102572
7099. The Biophysical Impacts of Deforestation on Precipitation: Results from the CMIP6 Model Intercomparison X. Luo et al. https://doi.org/10.1175/JCLI-D-21-0689.1
7100. A year above 1.5 °C signals that Earth is most probably within the 20-year period that will reach the Paris Agreement limit E. Bevacqua et al. https://doi.org/10.1038/s41558-025-02246-9
7101. Spatiotemporal dynamics of urban extreme heat under intensifying potential future heatwaves: Evidence from the Tokyo megalopolis D. Zhu et al. https://doi.org/10.1016/j.uclim.2026.102839
7102. Global warming intensifies pantropical coupling and its control on northern hemisphere tropical cyclones H. Zhao et al. https://doi.org/10.1038/s41612-026-01412-w
7103. Decadal change in seasonal prediction skills of the Indian Ocean Basin Mode during boreal summer C. Xu & Y. Wu https://doi.org/10.1007/s00382-026-08397-5
7104. Cloud feedback overestimated in coupled CESM2 simulations relative to AMIP simulations and satellite observations: importance of the pattern effect and implications for climate sensitivity S. Raghuraman & B. Medeiros https://doi.org/10.1088/1748-9326/ae5fab
7105. Description and Demonstration of the Coupled Community Earth System Model v2 – Community Ice Sheet Model v2 (CESM2‐CISM2) L. Muntjewerf et al. https://doi.org/10.1029/2020MS002356
7106. Atmospheric rivers emerge as future freshwater reserves and heat stocks M. Lu et al. https://doi.org/10.1038/s43247-025-02780-6
7107. Multiple levels of human instability due to urban overland flow within the 21st century: An urban Catchment study case in Brazil L. Rápalo et al. https://doi.org/10.1016/j.ijdrr.2025.105931
7108. Kilometer-scale climate data provide no added value for regional photovoltaic energy analysis K. Haslehner & A. Voigt https://doi.org/10.1016/j.renene.2026.125891
7109. Evaluation of CMIP6 climate models and machine learning-based downscaling for precipitation projections over Iran A. Dariane et al. https://doi.org/10.1016/j.pce.2026.104589
7110. Projected Habitat Contraction and Distributional Shifts of the near Threatened Undulate Ray Raja undulata Under Climate Change C. Turan & A. Soldo https://doi.org/10.3390/biology15131035
7111. High-resolution climate-driven potential evapotranspiration to assess climate change impacts on Mediterranean agriculture A. Fonseca et al. https://doi.org/10.3389/fclim.2026.1854734
7112. Machine learning attribution and projection of extreme precipitation over the Tibetan Plateau L. Li et al. https://doi.org/10.1016/j.aosl.2026.100817
7113. Planetary albedo and reflected shortwave flux: Basic characteristics, mechanisms of change and future projections R. Li et al. https://doi.org/10.1016/j.earscirev.2025.105274
7114. Spread in climate policy scenarios unravelled M. Dekker et al. https://doi.org/10.1038/s41586-023-06738-6
7115. Can traditional management practices help mountain livestock farms in the Spanish Pyrenees cope with climate change? E. Muñoz-Ulecia et al. https://doi.org/10.1007/s10113-023-02170-8
7116. Initial Land Use/Cover Distribution Substantially Affects Global Carbon and Local Temperature Projections in the Integrated Earth System Model A. Di Vittorio et al. https://doi.org/10.1029/2019GB006383
7117. A multivariate analysis of atmospheric drivers for Western European heatwaves A. Paçal et al. https://doi.org/10.5194/esd-17-955-2026
7118. Wintertime Arctic Oscillation and North Atlantic Oscillation and their impacts on the Northern Hemisphere climate in E3SM D. Lee et al. https://doi.org/10.1007/s00382-020-05316-0
7119. NorESM2–DIAM: a coupled model for investigating global and regional climate-economy interactions J. Bjordal et al. https://doi.org/10.5194/gmd-19-1337-2026
7120. Saharan vertebrate flagships are good ecosystem-wide climate response surrogates E. de Moll et al. https://doi.org/10.1016/j.biocon.2025.111580
7121. Future Projections and Uncertainties of CMIP6 for Hydrological Indicators and Their Discrepancies from CMIP5 over South Korea M. Doi & J. Kim https://doi.org/10.3390/w14182926
7122. Evolution of land surface feedbacks on extreme heat: Adapting existing coupling metrics to a changing climate P. Dirmeyer et al. https://doi.org/10.3389/fenvs.2022.949250
7123. The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation​​​​​​​​​​​​​​ M. Willeit et al. https://doi.org/10.5194/gmd-15-5905-2022
7124. Contribution of the deepened Amundsen sea low to the record low Antarctic sea ice extent in February 2022 S. Wang et al. https://doi.org/10.1088/1748-9326/acc9d6
7125. Arctic Ocean Freshwater in CMIP6 Ensembles: Declining Sea Ice, Increasing Ocean Storage and Export H. Zanowski et al. https://doi.org/10.1029/2020JC016930
7126. Emerging Climate Signals in Tropical Oxygen Minimum Zones M. Delteil et al. https://doi.org/10.5194/bg-23-2205-2026
7127. Revisiting the impact of Asian large-scale orography on the summer precipitation in Northwest China and surrounding arid and semi-arid regions H. Luo et al. https://doi.org/10.1007/s00382-022-06301-5
7128. Reconstructing the biological invasion of noxious invasive weed Parthenium hysterophorus and invasion risk assessment in China H. Zheng et al. https://doi.org/10.3389/fpls.2024.1430576
7129. Regional imprints of changes in the Atlantic Meridional Overturning Circulation in the eddy-rich ocean model VIKING20X A. Biastoch et al. https://doi.org/10.5194/os-17-1177-2021
7130. Future Summer Marine Heatwaves in the Western South Atlantic N. Costa & R. Rodrigues https://doi.org/10.1029/2021GL094509
7131. Phase-Locking of El Niño and La Niña Events in CMIP6 Models Y. Yan & D. Sun https://doi.org/10.3390/atmos15080882
7132. Use of seasonal dry and wet precipitation records to estimate the time of emergence (TOE) of changes in extreme precipitation anomalies F. Giorgi & F. Raffaele https://doi.org/10.1007/s00382-024-07358-0
7133. Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators A. Mahesh et al. https://doi.org/10.5194/gmd-18-5605-2025
7134. Using Machine Learning at scale in numerical simulations with SmartSim: An application to ocean climate modeling S. Partee et al. https://doi.org/10.1016/j.jocs.2022.101707
7135. Assessing the effects of climate change on the streamflow of the major river basins of central India M. Kavya et al. https://doi.org/10.1016/j.ejrh.2026.103219
7136. Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis J. Morris et al. https://doi.org/10.1038/s41467-025-57897-1
7137. A framework to inform economic valuation of non-use benefits from coral reef intervention efforts R. Heneghan et al. https://doi.org/10.1007/s00338-026-02844-9
7138. Comparative analysis of bias correction methods for projecting extreme precipitation and temeprature indices in Pakistan Z. Ali et al. https://doi.org/10.1016/j.atmosres.2025.107957
7139. Global energetics and local physics as drivers of past, present and future monsoons M. Biasutti et al. https://doi.org/10.1038/s41561-018-0137-1
7140. The Impacts of Global Warming on Climate Zone Changes Over Asia Based on CMIP6 Projections J. Kim & D. Bae https://doi.org/10.1029/2021EA001701
7141. Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
7142. Challenges with interpreting the impact of Atlantic Multidecadal Variability using SST-restoring experiments C. O’Reilly et al. https://doi.org/10.1038/s41612-023-00335-0
7143. Increase in ocean-onto-land droughts and their drivers under anthropogenic climate change Y. Guan et al. https://doi.org/10.1038/s41612-023-00523-y
7144. Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts H. Pereira et al. https://doi.org/10.1016/j.ocemod.2024.102395
7145. Prolonged Siberian heat of 2020 almost impossible without human influence A. Ciavarella et al. https://doi.org/10.1007/s10584-021-03052-w
7146. Characteristics of top-of-atmosphere radiation budget over the Tibetan Plateau and its bias sources in climate models J. Li et al. https://doi.org/10.1016/j.atmosres.2022.106256
7147. Understanding model diversity in future precipitation projections for South America Ø. Hodnebrog et al. https://doi.org/10.1007/s00382-021-05964-w
7148. Impact of Hydroclimate Change on the Management for the Multipurpose Reservoir: A Case Study in Meishan (China) Y. Liu et al. https://doi.org/10.1155/2022/6953306
7149. FIO-ESM: The Earth System Model Coupled with Ocean Surface Gravity Waves 振. 宋 https://doi.org/10.12677/CCRL.2020.91004
7150. Warming proportional to cumulative carbon emissions not explained by heat and carbon sharing mixing processes N. Gillett https://doi.org/10.1038/s41467-023-42111-x
7151. Projected climate change impacts on Potato yield in East Africa T. Kirina et al. https://doi.org/10.1016/j.eja.2025.127560
7152. Outlook for Offshore Wind Energy Development in Mexico from WRF Simulations and CMIP6 Projections J. Meza-Carreto et al. https://doi.org/10.3390/en17081866
7153. Rainfall extremes on the rise: Observations during 1951–2020 and bias-corrected CMIP6 projections for near- and late 21st century over Indian landmass U. Saha & M. Sateesh https://doi.org/10.1016/j.jhydrol.2022.127682
7154. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes https://doi.org/10.1126/sciadv.abo6872
7155. Carbon sequestration potential of eight economically important tree species in Northeast China under climate change L. Sprengel et al. https://doi.org/10.1016/j.foreco.2023.121299
7156. A review and comparison of surface incident shortwave radiation from multiple data sources: satellite retrievals, reanalysis data and GCM simulations S. Yang et al. https://doi.org/10.1080/17538947.2023.2198262
7157. Interdecadal Variations of Radiative Feedbacks Associated With the El Niño and Southern Oscillation (ENSO) in CMIP6 Models K. Tsuchida et al. https://doi.org/10.1029/2023GL106127
7158. Extreme Precipitation in 150-year Continuous Simulations by 20-km and 60-km Atmospheric General Circulation Models with Dynamical Downscaling over Japan by a 20-km Regional Climate Model R. MIZUTA et al. https://doi.org/10.2151/jmsj.2022-026
7159. Anthropogenic influence has significantly affected snowfall changes in Eurasia W. Lin et al. https://doi.org/10.1016/j.atmosres.2023.107125
7160. The Impact of Enhanced Vertical Resolution on Seasonal Prediction Skill of the Quasi‐Biennial Oscillation and Its Teleconnections in CESM2: A New Community Hindcast Dataset I. Simpson et al. https://doi.org/10.1029/2025JD046148
7161. Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin F. Jiang et al. https://doi.org/10.3390/atmos14101497
7162. Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century S. Salehi et al. https://doi.org/10.3390/forecast6040055
7163. Impacts of a weakened AMOC on precipitation over the Euro-Atlantic region in the EC-Earth3 climate model K. Bellomo et al. https://doi.org/10.1007/s00382-023-06754-2
7164. A Method for Estimating Global Subgrid‐Scale Orographic Gravity‐Wave Temperature Perturbations in Chemistry‐Climate Models M. Weimer et al. https://doi.org/10.1029/2022MS003505
7165. The End of the Wait for Climate Sensitivity? B. Sanderson https://doi.org/10.1029/2019GL084685
7166. Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. https://doi.org/10.1007/s13351-022-1202-7
7167. First record of Slender-billed Xenops (Xenops tenuirostris) from the Belém Region of Endemism: implications for its distribution in the Amazon G. SANDES et al. https://doi.org/10.1590/1809-4392202500651
7168. Projected Changes of Surface Winds Over the Antarctic Continental Margin J. Neme et al. https://doi.org/10.1029/2022GL098820
7169. The effect of Arctic warming on Moscow climate continentality G. Alexandrov et al. https://doi.org/10.1088/1755-1315/606/1/012004
7170. Disentangling Effects of Vegetation Structure and Physiology on Land–Atmosphere Coupling W. Li et al. https://doi.org/10.1111/gcb.70035
7171. Assessing crop resilience: climate change impact on major crops across agro climatic zones of Tamil Nadu, India under SSP 2–4.5 scenario R. Andimuthu et al. https://doi.org/10.1007/s00704-025-05582-0
7172. Evaluating ISIMIP3b bias-corrected data for precipitation extremes in China during 1981–2100 B. Liu et al. https://doi.org/10.1016/j.accre.2025.08.005
7173. Evaluation of CMIP6 models over Zambia: assessment of temperature, precipitation, and droughts for climate adaptation V. Sahana et al. https://doi.org/10.1007/s12040-026-02968-0
7174. PALEOSTRIPv1.0 – a user-friendly 3D backtracking software to reconstruct paleo-bathymetries F. Colleoni et al. https://doi.org/10.5194/gmd-14-5285-2021
7175. The Southern Ocean as the climate's freight train – driving ongoing global warming under zero-emission scenarios with ACCESS-ESM1.5 M. Chamberlain et al. https://doi.org/10.5194/bg-21-3053-2024
7176. Simulated Spatial and Temporal Distribution of Freezing and Thawing Fronts in CAS‐FGOALS‐g3 R. Li et al. https://doi.org/10.1029/2020MS002152
7177. Warming-induced vegetation growth cancels out soil carbon-climate feedback in the northern Asian permafrost region in the 21st century J. Liu et al. https://doi.org/10.1088/1748-9326/ac7eda
7178. Climate response and sensitivity: time scales and late tipping points R. Bastiaansen et al. https://doi.org/10.1098/rspa.2022.0483
7179. Investigating hydroclimatic impacts of the 168–158 BCE volcanic quartet and their relevance to the Nile River basin and Egyptian history R. Singh et al. https://doi.org/10.5194/cp-19-249-2023
7180. Water masses and climate change drive marine archaeal community biogeography: Insights from a dynamic marginal sea Z. Lin et al. https://doi.org/10.1016/j.marpolbul.2025.119068
7181. Current and future potential distribution of the invasive scale Ceroplastes rusci (L., 1758) (Hemiptera: Coccidae) under climate niche Y. Shan et al. https://doi.org/10.1002/ps.7290
7182. Global terrestrial moisture recycling in Shared Socioeconomic Pathways A. Staal et al. https://doi.org/10.5194/esd-16-215-2025
7183. Climate change impacts the vertical structure of marine ecosystem thermal ranges Y. Santana-Falcón & R. Séférian https://doi.org/10.1038/s41558-022-01476-5
7184. Sources of seasonal sea-ice bias for CMIP6 models in the Hudson Bay Complex A. Crawford et al. https://doi.org/10.1017/aog.2023.42
7185. Processing tomato production is expected to decrease by 2050 due to the projected increase in temperature D. Cammarano et al. https://doi.org/10.1038/s43016-022-00521-y
7186. Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations F. Hellmuth et al. https://doi.org/10.5194/acp-25-1353-2025
7187. Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch: Predictions Based on MaxEnt Ecological Niche Modeling H. Zhang et al. https://doi.org/10.3390/su15010631
7188. Predicting potential distribution shifts due to climate change and assessing contemporary land cover changes for two endemic bird species of the Mexican karst forests (Hylorchilus sumichrasti and Hylorchilus navai: Troglodytidae) A. Malpica et al. https://doi.org/10.1007/s10113-025-02463-0
7189. Strong El Niño and La Niña precipitation—sea surface temperature sensitivity under a carbon removal scenario C. Liu et al. https://doi.org/10.1038/s43247-024-01958-8
7190. Characterization and future projection of marine heatwaves under climate change in the South China Sea W. Sun et al. https://doi.org/10.1016/j.ocemod.2024.102322
7191. Joint effect of the North Pacific Victoria mode and the tropical Pacific on El Niño diversity L. Shi et al. https://doi.org/10.1007/s00382-022-06550-4
7192. Changes in the Subantarctic Mode Water Properties and Spiciness in the Southern Indian Ocean based on Argo Observations Y. ZHANG et al. https://doi.org/10.1175/JPO-D-20-0254.1
7193. Influence of Anthropogenic Activities on Near‐Surface Wind Speed Attenuation Over the Tibetan Plateau L. Zhu et al. https://doi.org/10.1002/joc.70284
7194. Simulating record-shattering cold winters of the beginning of the 21st century in France C. Cadiou & P. Yiou https://doi.org/10.5194/wcd-6-1-2025
7195. Mapping the potential spread of Anopheles stephensi in Europe and the Mediterranean: climate change and invasion pathways S. Aksu https://doi.org/10.1007/s11756-025-02059-3
7196. Role of Atlantification in Enhanced Primary Productivity in the Barents Sea K. Noh et al. https://doi.org/10.1029/2023EF003709
7197. Next steps for assessing ocean iron fertilization for marine carbon dioxide removal K. Buesseler et al. https://doi.org/10.3389/fclim.2024.1430957
7198. Emergent constraints on climate sensitivities M. Williamson et al. https://doi.org/10.1103/RevModPhys.93.025004
7199. Observed and Coupled Model Intercomparison Project 6 multimodel simulated changes in near‐surface temperature properties over Ghana during the 20th century C. Oduro et al. https://doi.org/10.1002/joc.7439
7200. Mechanisms of tropical Pacific decadal variability A. Capotondi et al. https://doi.org/10.1038/s43017-023-00486-x
7201. Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models M. Waqas & U. Humphries https://doi.org/10.1080/20964471.2025.2547500
7202. The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research L. Touzé‐Peiffer et al. https://doi.org/10.1002/wcc.648
7203. A Strengthened Teleconnection of the Quasi‐Biennial Oscillation and Tropical Easterly Jet in the Past Decades in E3SMv1 Y. Li et al. https://doi.org/10.1029/2023GL104517
7204. Atmospheric forcing dominates winter Barents-Kara sea ice variability on interannual to decadal time scales Z. Liu et al. https://doi.org/10.1073/pnas.2120770119
7205. Interdecadal tropical Pacific–Atlantic interaction simulated in CMIP6 models Y. Deng et al. https://doi.org/10.1007/s00382-024-07155-9
7206. Conservation challenges to the useful neotropical palm Babaçu (Attalea pindobassu Bondar) in the face of climate change I. Menezes et al. https://doi.org/10.1016/j.flora.2023.152262
7207. Projections of future distribution for the Golden Parakeet (Guaruba guarouba) indicate increased extinction risk for an Amazonian flagship species K. de Moraes et al. https://doi.org/10.1016/j.gecco.2024.e03353
7208. Contrasting Responses of Spring and Summer Potato to Climate Change in South Korea Y. Kim & H. Webber https://doi.org/10.1007/s11540-024-09691-7
7209. Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China D. Wang et al. https://doi.org/10.1002/met.2144
7210. Evaluating CMIP6 Model Accuracy in Predicting and Clustering Precipitation and Temperature Trends in the Omo-Gibe River Basin, Ethiopia F. Chanie et al. https://doi.org/10.1080/07055900.2025.2485087
7211. Effects of a freshening trend on upper-ocean stratification over the central tropical Pacific and their representation by CMIP6 models L. Ke-xin & Z. Fei https://doi.org/10.1016/j.dsr2.2021.104999
7212. Atmospheric cloud-radiative heating in CMIP6 and observations and its response to surface warming A. Voigt et al. https://doi.org/10.5194/acp-24-9749-2024
7213. Climate change could disrupt migratory patterns for an Arctic seabird population A. Patterson et al. https://doi.org/10.3354/meps14811
7214. Skilful decadal predictions of subpolar North Atlantic SSTs using CMIP model-analogues M. Menary et al. https://doi.org/10.1088/1748-9326/ac06fb
7215. Rapid flips between warm and cold extremes in a warming world S. Wu et al. https://doi.org/10.1038/s41467-025-58544-5
7216. Projected climate change impacts on habitat suitability of threatened medicinal plants in Himachal Pradesh, Western Himalaya: an ensemble species distribution modelling approach S. Tomar et al. https://doi.org/10.1038/s41598-026-66433-0
7217. Land transpiration-evaporation partitioning errors responsible for modeled summertime warm bias in the central United States J. Dong et al. https://doi.org/10.1038/s41467-021-27938-6
7218. Impact of climate change on rice growth and yield in China: Analysis based on climate year type L. Wang et al. https://doi.org/10.1016/j.geosus.2024.06.006
7219. Imminent rapid decline of the Indonesian Throughflow after reaching a turning point of CO2 concentration S. Hu et al. https://doi.org/10.1038/s41467-025-66746-0
7220. Global coastal wind hazard maps from the CHAZ tropical cyclone model S. Meiler et al. https://doi.org/10.1038/s41597-025-06452-0
7221. Forest carbon protocols underestimate climate-driven carbon loss risks C. Wu et al. https://doi.org/10.1038/s41586-026-10571-y
7222. Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP6 O. Salehie et al. https://doi.org/10.1007/s00477-022-02201-6
7223. Relative contributions of local heat storage and ocean heat transport to cold‐season Arctic Ocean surface energy fluxes in CMIP6 models K. Hajjar & M. Salzmann https://doi.org/10.1002/qj.4496
7224. Aridity intensification and regime transition in the Ganga Basin: LULC-spectral attribution, ET/PET divergence, and bias-corrected CMIP6 ensemble projection (2000–2100) K. Dhadse & A. Singh https://doi.org/10.1016/j.ejrh.2026.103724
7225. CMIP6 multi-model assessment of Northeast Atlantic and German Bight storm activity D. Krieger & R. Weisse https://doi.org/10.5194/esd-17-1-2026
7226. Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa B. Ayugi et al. https://doi.org/10.1002/joc.7207
7227. The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging A. Sánchez-Benítez et al. https://doi.org/10.1175/JCLI-D-21-0573.1
7228. Assessing global drought conditions under climate change: A comparison of stationary and non-stationary approaches and identification of hotspot regions D. Wu et al. https://doi.org/10.1016/j.jhydrol.2024.131663
7229. The fate of antarctic intermediate water: scenarios of volume and temperature-salinity changes in the Western South Atlantic from CMIP6 models G. de Oliveira et al. https://doi.org/10.1016/j.eve.2025.100087
7230. Physics-Enhanced Multilevel Residual Model for Sea Surface Temperature Prediction M. Deng et al. https://doi.org/10.1109/JSTARS.2026.3689608
7231. Projected Changes in Spatiotemporal Propagation of Droughts Over the Loess Plateau: Roles of Climate and Vegetation Change F. Ma et al. https://doi.org/10.1002/hyp.70246
7232. The physiological effect of CO2 on the hydrological cycle in summer over Europe and land-atmosphere interactions J. Boé https://doi.org/10.1007/s10584-021-03173-2
7233. Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization M. Mosteiro-Romero et al. https://doi.org/10.1016/j.buildenv.2023.110318
7234. Oceanic repeaters boost the global climatic impact of the Tibetan Plateau Y. Xie et al. https://doi.org/10.1016/j.scib.2023.07.019
7235. Climate change impacts on evapotranspiration in Brazil: a multi-model assessment A. Monteiro et al. https://doi.org/10.1007/s00704-024-04942-6
7236. Modellering av biogeokjemiske prosesser i den norske klimamodellen NorESM T. Berntsen https://doi.org/10.18261/issn.1504-3118-2021-05-06
7237. Accelerated internal tides in a warming climate Y. Gong et al. https://doi.org/10.1126/sciadv.adq4577
7238. Model‐Derived Uncertainties in Deep Ocean Temperature Trends Between 1990 and 2010 F. Garry et al. https://doi.org/10.1029/2018JC014225
7239. The two chytrid pathogens of amphibians in Eurasia—climatic niches and future expansion D. Sun et al. https://doi.org/10.1186/s12862-023-02132-y
7240. Modeling the impacts of oil palm plantations on water quantity and quality in the Kais River Watershed of Indonesia B. Asmara & T. Randhir https://doi.org/10.1016/j.scitotenv.2024.172456
7241. Mean surface density flux constrains the amplitude of AMOC decadal variability Z. Xu et al. https://doi.org/10.1088/1748-9326/aea7b8
7242. Assessing uncertainty in forecasts of refugia for Joshua trees using high‐density distribution data D. Shryock et al. https://doi.org/10.1002/ecs2.70308
7243. Projected Changes of Wind Energy Input to Surface Waves in the North Indian Ocean Based on CMIP6 J. Li et al. https://doi.org/10.3390/atmos15010139
7244. Biases in CMIP6 Historical U.S. Severe Convective Storm Environments Driven by Biases in Mean‐State Near‐Surface Moist Static Energy D. Chavas & F. Li https://doi.org/10.1029/2022GL098527
7245. Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes J. Dorrington et al. https://doi.org/10.5194/wcd-3-505-2022
7246. Conservation assessment of the vulnerable species Capra nubiana under changing precipitation: a decision- support tool for conservation planning R. Khayat & M. Dakhil https://doi.org/10.1007/s42991-024-00445-z
7247. From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme M. Pesci et al. https://doi.org/10.3389/frwa.2023.1296344
7248. Exploring the seasonal characteristics of the equatorial Atlantic SSTA: insights from an extended recharge-discharge oscillator framework Z. Cai et al. https://doi.org/10.1007/s00382-024-07535-1
7249. Impact of Solar Radiation Management on Anomalous Temperature Side Effects of Climate Change in Papua Province, Indonesia R. Gernowo et al. https://doi.org/10.1051/e3sconf/202565002051
7250. Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model V. Malagón-Santos et al. https://doi.org/10.1088/1748-9326/ade906
7251. Bioclimatic Characterization Relating to Temperature and Subsequent Future Scenarios of Vine Growing across the Apulia Region in Southern Italy G. Gentilesco et al. https://doi.org/10.3390/agriculture13030644
7252. The Common Representative Intermediates Mechanism Version 2 in the United Kingdom Chemistry and Aerosols Model S. Archer‐Nicholls et al. https://doi.org/10.1029/2020MS002420
7253. Human-induced intensification of sea surface temperature regime shifts threatens global Large Marine Ecosystems Q. Xing et al. https://doi.org/10.1038/s41467-026-70986-z
7254. Robust future intensification of winter precipitation over the United States A. Akinsanola et al. https://doi.org/10.1038/s41612-024-00761-8
7255. Projecting the potential distribution of ticks in China under climate and land use change X. Yang et al. https://doi.org/10.1016/j.ijpara.2021.01.004
7256. Quantification of Uncertainty in Projections of Extreme Daily Precipitation S. Kim et al. https://doi.org/10.1029/2019EA001052
7257. The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125) E. Cimadevilla et al. https://doi.org/10.5194/gmd-18-2461-2025
7258. Regional environmental controllers influence continental scale soil carbon stocks and future carbon dynamics D. Gonçalves et al. https://doi.org/10.1038/s41598-021-85992-y
7259. Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale L. Tang et al. https://doi.org/10.21105/jcon.00134
7260. A comparison of CMIP5 and CMIP6 climate model projections for hydrological impacts in China Y. Lei et al. https://doi.org/10.2166/nh.2023.108
7261. Observational evidence that cloud feedback amplifies global warming P. Ceppi & P. Nowack https://doi.org/10.1073/pnas.2026290118
7262. Simulating the climate change effects on the Karaj Dam basin: hydrological behavior and runoff M. Nasirabadi et al. https://doi.org/10.2166/wcc.2024.721
7263. Projection of suitability for the typical agro-ecological types in Central Asia under four SSP-RCP scenarios L. Yao et al. https://doi.org/10.1016/j.eja.2022.126599
7264. Global climate-related predictors at kilometer resolution for the past and future P. Brun et al. https://doi.org/10.5194/essd-14-5573-2022
7265. Integrating CMIP6 climate projections with community-based vulnerability assessment for climate resilience in Haripur, Pakistan S. Ali et al. https://doi.org/10.1007/s00704-026-06163-5
7266. Using Statistical and Dynamical Downscaling to Assess Climate Change Impacts on Mine Reclamation Cover Water Balances M. Alam et al. https://doi.org/10.1007/s10230-020-00695-6
7267. Climate Warming at European Airports: Human Factors and Infrastructure Planning J. Williams et al. https://doi.org/10.3390/aerospace13020127
7268. Tropical response to ocean circulation slowdown raises future drought risk P. DiNezio et al. https://doi.org/10.1038/s41586-025-09319-x
7269. Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation F. Ajibola et al. https://doi.org/10.3390/atmos11101053
7270. Modeling the Vertical Flux of Organic Carbon in the Global Ocean A. Burd https://doi.org/10.1146/annurev-marine-022123-102516
7271. Increasing water stress in Chile revealed by novel datasets of water availability, land use and water use J. Boisier et al. https://doi.org/10.5194/hess-29-5185-2025
7272. Large impact of extreme precipitation on projected blue–green water partitioning S. Heselschwerdt et al. https://doi.org/10.5194/esd-17-811-2026
7273. Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
7274. Changes of Köppen Climate Zones over China in Simulated Interglacial and Future Warm Intervals B. Wu & D. Jiang https://doi.org/10.1007/s00376-026-6224-0
7275. Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations F. Ehmele et al. https://doi.org/10.5194/esd-11-469-2020
7276. Mass loss of the Greenland ice sheet until the year 3000 under a sustained late-21st-century climate R. Greve & C. Chambers https://doi.org/10.1017/jog.2022.9
7277. Climate change projections from a multi-model ensemble of CORDEX and CMIPs over Angola I. Pinto et al. https://doi.org/10.1088/2752-5295/ace210
7278. Western North Pacific Tropical cyclones act to suppress its adjacent Hadley circulation F. Xu et al. https://doi.org/10.1038/s41612-025-01227-1
7279. Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity M. Wang et al. https://doi.org/10.1038/s41467-025-60104-w
7280. Probabilistic wind power adequacy and economic viability across middle eastern climate regimes under future climate change M. Tamimi et al. https://doi.org/10.1007/s00477-026-03203-4
7281. Widespread Persistent Extreme Cold Events Over South‐East China: Mechanisms, Trends, and Attribution N. Freychet et al. https://doi.org/10.1029/2020JD033447
7282. Intensified Atlantic multidecadal variability in a warming climate S. Li et al. https://doi.org/10.1038/s41558-025-02252-x
7283. Evaluating CMIP6 Historical Mean Precipitation over Africa and the Arabian Peninsula against Satellite-Based Observation I. Nooni et al. https://doi.org/10.3390/atmos14030607
7284. Increasing connections of the leading internal mode of the summertime Northwest Pacific subtropical anticyclone with preceding ENSO under greenhouse warming in FGOALS‐g3 super‐large ensemble J. Ma et al. https://doi.org/10.1002/joc.8197
7285. Causal Impacts of El Niño–Southern Oscillation on Global Soil Moisture Over the Period 2015–2100 T. Le & D. Bae https://doi.org/10.1029/2021EF002522
7286. Strong 2023–2024 El Niño generated by ocean dynamics Q. Peng et al. https://doi.org/10.1038/s41561-025-01700-9
7287. Quantification of uncertainties in projections of extreme daily precipitation simulated by CMIP6 GCMs over homogeneous regions of India M. Nair et al. https://doi.org/10.1002/joc.8269
7288. Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models G. Meehl et al. https://doi.org/10.1126/sciadv.aba1981
7289. Observationally constrained projection of Afro-Asian monsoon precipitation Z. Chen et al. https://doi.org/10.1038/s41467-022-30106-z
7290. Observation-Constrained Intercomparison of CMIP6 GCMs Precipitation Projections around Japan D. Kim & N. Shirakawa https://doi.org/10.1007/s13143-025-00423-6
7291. Projected Increases in Heat-Related Emergency Department Imaging Utilization Under Climate Change Scenarios E. Yilmaz et al. https://doi.org/10.1177/08465371261457322
7292. Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. https://doi.org/10.1073/pnas.2112087118
7293. A new metrics framework for quantifying and intercomparing atmospheric rivers in observations, reanalyses, and climate models B. Dong et al. https://doi.org/10.5194/gmd-18-961-2025
7294. Impact of Climate Change on Risk Assessment and Effective Maintenance Strategies for Bridge Networks Subjected to Corrosion X. Han & D. Frangopol https://doi.org/10.1061/AJRUA6.RUENG-1059
7295. Evaluating the climatic suitability of Engytatus passionarius Minghetti et al. (Heteroptera, Miridae) as a biological control agent of the invasive stinking passion flower Passiflora foetida L. in Australia through ecological niche models E. Minghetti et al. https://doi.org/10.1016/j.biocontrol.2024.105461
7296. Assessments of Air Quality and Climate Simulations over East Asia Using Different Atmospheric Chemistry Schemes in the UK Earth System Model with Interactive Chemistry-Aerosol-Cloud-Radiation Processes D. Youn & H. Song https://doi.org/10.5572/KOSAE.2025.41.4.622
7297. An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States S. Weiss & E. Coughlan de Perez https://doi.org/10.1088/2976-601X/ad8bc7
7298. Oceanic heat sources exacerbate continental heatwaves G. Wang et al. https://doi.org/10.1016/j.oneear.2026.101716
7299. Age-specific timing of bud burst in subtropical Carya illinoinensis and Torreya grandis under current and future climatic conditions S. Diao et al. https://doi.org/10.1016/j.agrformet.2026.111264
7300. Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald https://doi.org/10.1016/j.ese.2021.100124
7301. Climate change and its effects on the streamflow of an Andean river basin with volcanic activity H. Salas et al. https://doi.org/10.2166/wcc.2023.340
7302. THE IMPACT OF FUTURE CHANGES IN AGRICULTURAL LAND DISTRIBUTION ON EMISSIONS OF AIR POLLUTANTS K. YAMAZAKI et al. https://doi.org/10.2208/jscejj.24-27051
7303. Warming climate and ENSO variability enhance the risk of sequential extremes in India V. Mishra et al. https://doi.org/10.1016/j.oneear.2022.10.013
7304. Mesospheric Nitric Oxide Transport in WACCM C. Smith‐Johnsen et al. https://doi.org/10.1029/2021JA029998
7305. Validation of methods for developing typical meteorological years based on future climate models S. Seyed Salehi et al. https://doi.org/10.1051/e3sconf/202456207002
7306. Continental-scale bias correction and random forest downscaling of CMIP6 precipitation across Europe S. Doshi et al. https://doi.org/10.1080/10106049.2026.2657618
7307. cfdm: A Python reference implementation of the CF data model D. Hassell & S. Bartholomew https://doi.org/10.21105/joss.02717
7308. Understanding the Low Predictability of the 2015/16 El Niño Event Based on a Deep Learning Model T. Wang et al. https://doi.org/10.1007/s00376-024-3238-3
7309. Impact of Changing Wind Loads on the Reliability of Power Transmission Lines in Different Regions of Russia V. Klimenko et al. https://doi.org/10.1134/S1028335822060064
7310. Gaps in Water Quality Modeling of Hydrologic Systems L. Lucas et al. https://doi.org/10.3390/w17081200
7311. Assessing landscape genomic determinants of the potential spread risk of Solanum rostratum in China Y. Liu et al. https://doi.org/10.1016/j.gecco.2026.e04337
7312. Quantitative methods to predict the effect of climate change on microbial food safety: A needs analysis L. Katsini et al. https://doi.org/10.1016/j.tifs.2021.07.041
7313. Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia D. Hirko et al. https://doi.org/10.1016/j.pce.2025.104137
7314. Uncertainty in El Niño-like warming and California precipitation changes linked by the Interdecadal Pacific Oscillation L. Dong et al. https://doi.org/10.1038/s41467-021-26797-5
7315. Albedos, Equilibrium Temperatures, and Surface Temperatures of Habitable Planets A. Del Genio et al. https://doi.org/10.3847/1538-4357/ab3be8
7316. Projection for the occurrence dates of heat stress in North China L. Bu et al. https://doi.org/10.1016/j.accre.2025.01.011
7317. Differential Impacts of Climatic and Land Use Changes on Habitat Suitability and Protected Area Adequacy across the Asian Elephant’s Range W. Yang et al. https://doi.org/10.3390/su14094933
7318. Globally unequal effect of extreme heat on economic growth C. Callahan & J. Mankin https://doi.org/10.1126/sciadv.add3726
7319. Food and nutrition security under changing climate and socioeconomic conditions M. Rosegrant et al. https://doi.org/10.1016/j.gfs.2024.100755
7320. Climate models project increasing precipitation in the US Southwest in 2024–2100 P. Chylek et al. https://doi.org/10.1007/s00382-025-07857-8
7321. Evaluation of Temperature and Precipitation Simulations in CMIP6 Models Over the Tibetan Plateau T. Cui et al. https://doi.org/10.1029/2020EA001620
7322. Enhanced surface temperature over India during 1980–2020 and future projections: causal links of the drivers and trends R. Kumar et al. https://doi.org/10.1038/s41612-023-00494-0
7323. Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. https://doi.org/10.1016/j.atmosres.2024.107255
7324. Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2) W. Wieder et al. https://doi.org/10.1029/2021GB007034
7325. Biases and improvements of the boreal winter–spring equatorial undercurrent in the Indian Ocean in the CMIP5 and CMIP6 models J. Li et al. https://doi.org/10.3389/fmars.2023.1168385
7326. Intercomparison of two model climates simulated by a unified weather-climate model system (GRIST), part II: Madden–Julian oscillation Z. Fu et al. https://doi.org/10.1007/s00382-024-07527-1
7327. Inter-comparison of past and projected climatic trends in Puerto Rico: 1950–2100 M. Jury https://doi.org/10.2166/wcc.2022.071
7328. Using reduced-complexity volcanic aerosol and climate models to produce large ensemble simulations of Holocene temperature M. Verkerk et al. https://doi.org/10.5194/cp-21-1755-2025
7329. 20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling C. Yang et al. https://doi.org/10.5194/gmd-19-1849-2026
7330. Relative importance of the mechanisms triggering the Eurasian ice sheet deglaciation in the GRISLI2.0 ice sheet model V. van Aalderen et al. https://doi.org/10.5194/cp-20-187-2024
7331. Assessment of bioenergy crop productivity and carbon emissions mitigation potential on marginal lands in China based on the machine learning model and meta-analysis Z. Yu et al. https://doi.org/10.1016/j.jclepro.2026.148227
7332. The Role of the Mean State on MJO Simulation in CESM2 Ensemble Simulation D. Kang et al. https://doi.org/10.1029/2020GL089824
7333. Impact of topography and meteorological forcing on snow simulation in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) L. Wang et al. https://doi.org/10.5194/gmd-18-6597-2025
7334. Net surface energy flux over the globe and Asian monsoon region in CMIP6 high-resolution models X. Liao et al. https://doi.org/10.1007/s00382-025-07705-9
7335. Evaluating the Applicability of a Quantile–Quantile Adjustment Approach for Downscaling Monthly GCM Projections to Site Scale over the Qinghai-Tibet Plateau Z. Yin et al. https://doi.org/10.3390/atmos12091170
7336. A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al. https://doi.org/10.1017/eds.2022.24
7337. High flow management as climate change adaptation for freshwater ecosystems in regulated rivers A. John et al. https://doi.org/10.1080/13241583.2024.2392322
7338. Dual impact of global urban overheating on mortality S. Wang et al. https://doi.org/10.1038/s41558-025-02303-3
7339. An Ecoregional Conservation Assessment for the Northern Rockies Ecoregion and Proposed Climate Refugium in the Yaak River Watershed, USA D. DellaSala et al. https://doi.org/10.3390/f16050822
7340. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al. https://doi.org/10.3389/ffgc.2021.818661
7341. An innovative index for separating the effects of temperature and precipitation on global vegetation change X. Zhang & X. Li https://doi.org/10.1016/j.isci.2023.106972
7342. Using the fast impact of anthropogenic aerosols on regional land temperature to constrain aerosol forcing Z. Shen et al. https://doi.org/10.1126/sciadv.abb5297
7343. Projected Change in Temperature and Precipitation Over Africa from CMIP6 M. Almazroui et al. https://doi.org/10.1007/s41748-020-00161-x
7344. Deep Emulators for Differentiation, Forecasting, and Parametrization in Earth Science Simulators M. Nonnenmacher & D. Greenberg https://doi.org/10.1029/2021MS002554
7345. Bespoke climate indicators for the Swedish energy sector − a stakeholder focused approach G. Strandberg et al. https://doi.org/10.1016/j.cliser.2024.100486
7346. Comparative assessment of dry- and humid-heat extremes in a warming climate: Frequency, intensity, and seasonal timing X. Fan et al. https://doi.org/10.1016/j.wace.2024.100698
7347. The Relation Between the Latitudinal Shifts of Midlatitude Diabatic Heating, Eddy Heat Flux, and the Eddy‐Driven Jet in CMIP6 Models O. Lachmy https://doi.org/10.1029/2022JD036556
7348. Increased interannual variability of Sahel rainfall under greenhouse warming K. Yang et al. https://doi.org/10.1038/s41467-025-67885-0
7349. Surface Wave Mixing Modifies Projections of 21st Century Ocean Heat Uptake J. Kousal et al. https://doi.org/10.3390/atmos14030532
7350. Revisiting a Constraint on Equilibrium Climate Sensitivity From a Last Millennium Perspective S. Cropper et al. https://doi.org/10.1029/2023GL104126
7351. Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes K. Tazi et al. https://doi.org/10.1017/eds.2025.10020
7352. Quantitative evaluations of subtropical westerly jet simulations over East Asia based on multiple CMIP5 and CMIP6 GCMs B. Zhou et al. https://doi.org/10.1016/j.atmosres.2022.106257
7353. Modeling Atmospheric Lines by the Exoplanet Community (MALBEC) Version 1.0: A CUISINES Radiative Transfer Intercomparison Project G. Villanueva et al. https://doi.org/10.3847/PSJ/ad2681
7354. Improving simulations of extreme precipitation events in China by the CMIP6 global climate models through statistical downscaling J. Zhang et al. https://doi.org/10.1016/j.atmosres.2024.107344
7355. Volume, evolution, and sedimentation of future glacier lakes in Switzerland over the 21st century T. Steffen et al. https://doi.org/10.5194/esurf-10-723-2022
7356. Influences of El Niño–Southern Oscillation on summertime ozone pollution over central-eastern China during 1950–2014 Y. Wang et al. https://doi.org/10.1007/s11356-022-22543-6
7357. Evaluation of soil temperature in CMIP6 multimodel simulations J. Zhou et al. https://doi.org/10.1016/j.agrformet.2024.110039
7358. Spatiotemporal dynamics of blue and green water resources in a mountainous watershed: A case study of the Wujiang River Basin, China W. Kang et al. https://doi.org/10.1016/j.ejrh.2023.101484
7359. Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site M. Barrere et al. https://doi.org/10.5194/gmd-10-3461-2017
7360. Global patterns of sea surface climate connectivity for marine species P. Petsas et al. https://doi.org/10.1038/s43247-022-00569-5
7361. The Planetary Theory of Solar Activity Variability: A Review N. Scafetta & A. Bianchini https://doi.org/10.3389/fspas.2022.937930
7362. Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia P. Ritchie et al. https://doi.org/10.1038/s43247-022-00528-0
7363. A simple dynamical system for representing climate tipping points with hysteresis C. Huntingford et al. https://doi.org/10.5194/npg-33-385-2026
7364. Future surface temperatures over Europe according to CMIP6 climate projections: an analysis with original and bias-corrected data D. Carvalho et al. https://doi.org/10.1007/s10584-021-03159-0
7365. El Niño and La Niña asymmetry in short-term predictability on springtime initial condition H. Chen et al. https://doi.org/10.1038/s41612-023-00446-8
7366. Modern anthropogenic drought in Central Brazil unprecedented during last 700 years N. Stríkis et al. https://doi.org/10.1038/s41467-024-45469-8
7367. Projected changes in extreme daily precipitation linked to changes in precipitable water and vertical velocity in CMIP6 models L. Gimeno-Sotelo et al. https://doi.org/10.1016/j.atmosres.2024.107413
7368. Phytoplankton abundance in the Barents Sea is predictable up to five years in advance F. Fransner et al. https://doi.org/10.1038/s43247-023-00791-9
7369. Modulations of ocean-atmosphere interactions on squid abundance over Southwest Atlantic C. Ko et al. https://doi.org/10.1016/j.envres.2024.118444
7370. Using a virtual machine environment for developing, testing, and training for the UM-UKCA composition-climate model, using Unified Model version 10.9 and above N. Abraham et al. https://doi.org/10.5194/gmd-11-3647-2018
7371. Circulation Patterns and Associated Rainfall Over South Tropical South America: GCMs Evaluation During the Dry‐To‐Wet Transition Season M. Olmo et al. https://doi.org/10.1029/2022JD036468
7372. Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. https://doi.org/10.1088/1748-9326/ac0be1
7373. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. https://doi.org/10.5194/hess-27-1627-2023
7374. A weather pattern responsible for increasing wildfires in the western United States W. Zhang et al. https://doi.org/10.1088/1748-9326/ad928f
7375. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. https://doi.org/10.5194/acp-23-523-2023
7376. Climate-Driven Habitat Redistribution and Conservation Gaps of the Medicinal Fern Sceptridium ternatum in China J. Guo et al. https://doi.org/10.3390/biology15151268
7377. Nordic Seas Heat Loss, Atlantic Inflow, and Arctic Sea Ice Cover Over the Last Century L. Smedsrud et al. https://doi.org/10.1029/2020RG000725
7378. Importance of beginning industrial-era climate simulations in the eighteenth century A. Ballinger et al. https://doi.org/10.1088/1748-9326/ae1bbc
7379. Mixing Regimes in a Shallow Lake over the Past Five Decades: Application to Laguna Carén L. Godoy et al. https://doi.org/10.3390/w17071007
7380. Soil carbon sequestration simulated in CMIP6-LUMIP models: implications for climatic mitigation A. Ito et al. https://doi.org/10.1088/1748-9326/abc912
7381. Comparison of ground temperature and permafrost conditions in the Arctic simulated by land surface process models of different complexity J. MORI et al. https://doi.org/10.5331/bgr.23A02
7382. Monitoring, modeling, and forecasting long-term changes in coastal seawater quality due to climate change X. Guan et al. https://doi.org/10.1038/s41467-025-57913-4
7383. IPSL-Perm-LandN: improving the IPSL Earth System Model to represent permafrost carbon-nitrogen interactions R. Gaillard et al. https://doi.org/10.5194/gmd-19-661-2026
7384. Future changes in the frequency of temperature extremes may be underestimated in tropical and subtropical regions N. Freychet et al. https://doi.org/10.1038/s43247-021-00094-x
7385. Correlation Between Sea‐Level Rise and Aspects of Future Tropical Cyclone Activity in CMIP6 Models J. Lockwood et al. https://doi.org/10.1029/2021EF002462
7386. Dynamic simulation and projection of land use change using system dynamics model in the Chinese Tianshan mountainous region, central Asia Z. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2023.110564
7387. Learning about climate change solutions in the IPCC and beyond J. Minx et al. https://doi.org/10.1016/j.envsci.2017.05.014
7388. Climate change and hydropower resilience in Nepal: an integrated modeling approach in the Madi River Basin P. Pokharel & R. Regmi https://doi.org/10.2166/h2oj.2024.110
7389. Steady global surface warming from 1973 to 2022 but increased warming rate after 1990 B. Samset et al. https://doi.org/10.1038/s43247-023-01061-4
7390. Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. https://doi.org/10.5194/hess-28-3391-2024
7391. Climate Change Impacts on the Marine Cycling of Biogenic Sulfur: A Review R. Jackson & A. Gabric https://doi.org/10.3390/microorganisms10081581
7392. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. https://doi.org/10.1002/joc.7673
7393. Comparing surface wind stress and sea surface temperature biases over the tropical and subtropical oceans in subsets of CMIP6 models categorized by frozen hydrometeors-radiation interactions J. Li et al. https://doi.org/10.1088/2515-7620/ac70ac
7394. TriCCo v1.1.0 – a cubulation-based method for computing connected components on triangular grids A. Voigt et al. https://doi.org/10.5194/gmd-15-7489-2022
7395. Global distribution pattern in characteristics of gross primary productivity response to soil water availability S. Bao et al. https://doi.org/10.1016/j.agrformet.2025.110701
7396. Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States A. Wootten et al. https://doi.org/10.5194/esd-14-121-2023
7397. The extremely hot and dry 2018 summer in central and northern Europe from a multi-faceted weather and climate perspective E. Rousi et al. https://doi.org/10.5194/nhess-23-1699-2023
7398. CMIP6 Data Citation of Evolving Data M. Stockhause & M. Lautenschlager https://doi.org/10.5334/dsj-2017-030
7399. Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution S. Jiang et al. https://doi.org/10.1016/j.techfore.2021.120668
7400. Potential Impacts of Future Extreme Precipitation Changes on Flood Engineering Design Across the Contiguous United States G. Coelho et al. https://doi.org/10.1029/2021WR031432
7401. Variability of Springtime Coastal Polynyas over the Ross Sea and Its Impact on the Following Sea-Ice Evolution Z. Wei et al. https://doi.org/10.1007/s00376-025-4264-5
7402. Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé https://doi.org/10.1002/2017GL076829
7403. The Tibetan Plateau’s Looming Trade-Off Attribution and Future Trajectories of Vegetation Growth Versus Water Yield R. Kong et al. https://doi.org/10.3390/f17020181
7404. Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria A. Saman et al. https://doi.org/10.1038/s41598-026-45543-9
7405. AtmoDist: Self-supervised representation learning for atmospheric dynamics S. Hoffmann & C. Lessig https://doi.org/10.1017/eds.2023.1
7406. Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S) R. Aguayo et al. https://doi.org/10.5194/tc-18-5383-2024
7407. Optimizing cooling setpoint using adaptive thermal comfort concept for school building in desert climates under current and future climates F. Baba et al. https://doi.org/10.1108/SASBE-06-2024-0237
7408. The DWD climate predictions website: Towards a seamless outlook based on subseasonal, seasonal and decadal predictions A. Paxian et al. https://doi.org/10.1016/j.cliser.2023.100379
7409. Changes in El Niño–Southern Oscillation and global frequency entrainment T. Iwakiri & J. Kug https://doi.org/10.1038/s41467-026-74381-6
7410. Carbon Sequestration Potential of China’s Terrestrial Ecosystem Incorporating Moisture Recycling J. Nan et al. https://doi.org/10.3390/f17080977
7411. The Lack of a QBO‐MJO Connection in Climate Models With a Nudged Stratosphere Z. Martin et al. https://doi.org/10.1029/2023JD038722
7412. Out-of-phase tropical Atlantic–Pacific response after volcanic eruptions over the Last Millennium in PMIP4/past1000 simulations L. Verona et al. https://doi.org/10.1038/s41598-025-28495-4
7413. Global Climate Simulated by the Seoul National University Atmosphere Model Version 0 with a Unified Convection Scheme (SAM0-UNICON) S. Park et al. https://doi.org/10.1175/JCLI-D-18-0796.1
7414. Past and future of the Arctic sea ice in High-Resolution Model Intercomparison Project (HighResMIP) climate models J. Selivanova et al. https://doi.org/10.5194/tc-18-2739-2024
7415. Future Climate Change Increases Streamflow and Risks of Hydrological Hazards in the Pearl River Basin H. Yu et al. https://doi.org/10.3390/w18030436
7416. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. https://doi.org/10.1007/s00376-022-1360-7
7417. Sea surface warming patterns drive hydrological sensitivity uncertainties S. Zhang et al. https://doi.org/10.1038/s41558-023-01678-5
7418. The Arctic Surface Climate in CMIP6: Status and Developments since CMIP5 R. Davy & S. Outten https://doi.org/10.1175/JCLI-D-19-0990.1
7419. Non-monotonic changes in Asian Water Towers’ streamflow at increasing warming levels T. Cui et al. https://doi.org/10.1038/s41467-023-36804-6
7420. Unsupervised discovery of extreme weather events using universal representations of emergent organization A. Rupe et al. https://doi.org/10.1063/5.0267915
7421. Predicting the potential distribution of the fall armyworm Spodoptera frugiperda (J.E. Smith) under climate change in China C. Jiang et al. https://doi.org/10.1016/j.gecco.2021.e01994
7422. Performance of CMIP6 HighResMIP on the Representation of Onset and Cessation of Seasonal Rainfall in Southern West Africa F. Nkrumah et al. https://doi.org/10.3390/atmos13070999
7423. Payment for Ecosystem Services: institutional arrangements for a changing climate in the Chilean Mediterranean Region A. Ocampo-Melgar et al. https://doi.org/10.1038/s44168-024-00132-2
7424. Climate change vs. socio-economic development: understanding the future South Asian water gap R. Wijngaard et al. https://doi.org/10.5194/hess-22-6297-2018
7425. A new index used to characterise the extent of Antarctic marine coastal winds in climate projections A. Cable et al. https://doi.org/10.5194/wcd-7-247-2026
7426. Decent work in fishing in a changing climate M. Tigchelaar et al. https://doi.org/10.1016/j.marpol.2025.106846
7427. Impact of tropical seaways closure on ENSO variability during the Middle Miocene Climatic Optimum C. He et al. https://doi.org/10.1007/s00382-026-08250-9
7428. Comparative Analysis of Habitat Expansion Mechanisms for Four Invasive Amaranthaceae Plants Under Current and Future Climates Using MaxEnt M. Lin et al. https://doi.org/10.3390/plants14152363
7429. Climatically Driven Minimum of Energy Demand for Heating in Cities at the Center of the European Part of Russia G. Alexandrov https://doi.org/10.1134/S000143382006002X
7430. Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment X. Gao et al. https://doi.org/10.3390/atmos13071056
7431. Anthropogenic Fingerprint Detectable in Upper Tropospheric Ozone Trends Retrieved from Satellite X. Yu et al. https://doi.org/10.1021/acs.est.4c01289
7432. Assessing present and future vegetation dynamics on the Qinghai–Tibet Plateau using CMIP6 Earth System Models Q. Wang et al. https://doi.org/10.1016/j.eiar.2026.108725
7433. Annual Cycle of East Asian Precipitation Simulated by CMIP6 Models Y. Yan et al. https://doi.org/10.3390/atmos12010024
7434. Largely underestimated carbon emission from land use and land cover change in the conterminous United States Z. Yu et al. https://doi.org/10.1111/gcb.14768
7435. Divergent flash drought risks indicated by evaporative stress and soil moisture projections under warming scenarios D. Kim et al. https://doi.org/10.1088/1748-9326/ace921
7436. 东海模态调控全球冬季年代际气温变率 克. 方 et al. https://doi.org/10.1360/N072025-0372
7437. Multi-Decadal Variability and Future Changes in Precipitation over Southern Africa K. Lim Kam Sian et al. https://doi.org/10.3390/atmos12060742
7438. The Dynamics and Variability Model Intercomparison Project (DynVarMIP) for CMIP6: assessing the stratosphere–troposphere system E. Gerber & E. Manzini https://doi.org/10.5194/gmd-9-3413-2016
7439. Scenario-driven spatiotemporal modeling of nonlinear drought dynamics and systemic risks using CMIP6 data H. Ullah et al. https://doi.org/10.1016/j.pce.2026.104477
7440. A multi-perspective approach for selecting CMIP6 scenarios to project climate change impacts on glacio-hydrology with a case study in Upper Indus river basin M. Shafeeque & Y. Luo https://doi.org/10.1016/j.jhydrol.2021.126466
7441. Spring Arctic sea ice decline exacerbates summer extreme precipitation in central Asia and drought in northeast China L. Zhang et al. https://doi.org/10.1007/s00382-026-08058-7
7442. Highly restricted near‐surface permafrost extent during the mid-Pliocene warm period D. Guo et al. https://doi.org/10.1073/pnas.2301954120
7443. 浅谈大气科学与地质学的学科交叉 Z. Zhang et al. https://doi.org/10.3799/dqkx.2022.350
7444. Evaluating CMIP6 models for CO2 and CH4 concentrations across Africa: performance, biases, and implications for climate predictions G. Magara et al. https://doi.org/10.1007/s00382-025-07679-8
7445. Salinity data curation using CMIP6 projections and artificial neural network for the Bay of Bengal V. Kumar et al. https://doi.org/10.1080/09715010.2023.2291796
7446. Evaluation and simulation of terrestrial latent heat flux globally: A collaborative effort utilizing CMIP6 climate models and eddy covariance observations X. Tian et al. https://doi.org/10.1016/j.agrformet.2024.110371
7447. Influence of Dynamic and Thermal Effects of Asian Topography on Tropical Cyclone Activity as Simulated in a Global Climate Model J. Li https://doi.org/10.3390/atmos14050905
7448. Future changes of socioeconomic exposure to potential landslide hazards over mainland China D. Li et al. https://doi.org/10.1016/j.wace.2024.100731
7449. Madden–Julian Oscillation-induced extreme rainfalls constrained by global warming mitigation S. Liang et al. https://doi.org/10.1038/s41612-022-00291-1
7450. Sharp Increase in rapid intensification of Arabian Sea tropical cyclones over the past decade X. Li et al. https://doi.org/10.1038/s43247-025-02477-w
7451. Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia S. De Nardi et al. https://doi.org/10.3390/forecast6010006
7452. Comparative analysis of statistical downscaling methods for multi-model decadal climate predictions over Western Europe S. Moreno-Montes et al. https://doi.org/10.1016/j.cliser.2026.100639
7453. Detectable anthropogenic influence on summer compound hot events over China from 1965 to 2014 X. Wang et al. https://doi.org/10.1088/1748-9326/ac4d4e
7454. Enhanced performance of CMIP6 climate models in simulating historical precipitation in the Florida Peninsula H. Wang & T. Asefa https://doi.org/10.1002/joc.8479
7455. Long-term planning requires climate projections beyond 2100 D. Easterling et al. https://doi.org/10.1038/s41558-024-02085-0
7456. Evaluation of Climate Models Using Bergen Metrics as a Multi-Metrics Comparison over Indonesia M. Mardyanto et al. https://doi.org/10.2478/cee-2026-0107
7457. Projected Changes in Dry and Wet Conditions in the Henan Section of the Yellow River Based on the CMIP6 Multi-Model Ensemble C. Yan et al. https://doi.org/10.3390/w18111252
7458. Evaluating climate change impacts on reference evapotranspiration using CMIP6 projections and machine learning in the Aras River Basin S. Ganjei et al. https://doi.org/10.1007/s40808-025-02651-1
7459. “Infrastructural geopolitics” of climate knowledge: the Brazilian Earth System Model and the North-South knowledge divide J. Miguel et al. https://doi.org/10.1590/15174522-0215102
7460. Changes in the North Atlantic Oscillation over the 20th century S. Outten & R. Davy https://doi.org/10.5194/wcd-5-753-2024
7461. Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1 S. Taranu et al. https://doi.org/10.5194/gmd-17-7365-2024
7462. Drivers of low-frequency Sahel precipitation variability: comparing CMIP5 and CMIP6 ensemble means with observations R. Herman et al. https://doi.org/10.1007/s00382-023-06755-1
7463. Heat waves characteristics intensification across Indian smart cities M. Goyal et al. https://doi.org/10.1038/s41598-023-41968-8
7464. Long-Term Evolution of the Ozone Layer Under CMIP7 Scenarios M. Tkachenko & E. Rozanov https://doi.org/10.3390/atmos17010092
7465. Snowmelt predicts earlier breeding across the latitudinal range of an Arctic nesting seabird, the Little Auk (Alle alle) M. Syposz et al. https://doi.org/10.1111/1365-2656.70287
7466. Significant Contribution of Stratospheric Water Vapor to the Poleward Expansion of the Hadley Circulation in Autumn Under Greenhouse Warming Y. Xia et al. https://doi.org/10.1029/2021GL094008
7467. Modelled potential changes in the climate-related geographic distribution of species of the Passiflora genus in Brazil A. Porto et al. https://doi.org/10.1080/17550874.2025.2505425
7468. Do CMIP6 models capture the observed anomalous asymmetric Hadley circulation during historical El Niño decaying stage X. Ji et al. https://doi.org/10.1007/s00382-024-07149-7
7469. Global spatial distribution of Chromolaena odorata habitat under climate change: random forest modeling of one of the 100 worst invasive alien species P. Adhikari et al. https://doi.org/10.1038/s41598-023-36358-z
7470. Decreasing causal impacts of El Niño–Southern Oscillation on future fire activities T. Le et al. https://doi.org/10.1016/j.scitotenv.2022.154031
7471. On the Mechanism of Arctic Climate Oscillation with a Period of About 15 Years According to Data of the INM RAS Climate Model E. Volodin https://doi.org/10.1134/S0001433820020140
7472. Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (Cyclobalanopsis glauca (Thunberg) Oersted) under Climate Change Scenarios in China L. Zhang et al. https://doi.org/10.3390/f13010126
7473. It is here to stay. The exotic species Cloeon smaeleni Lestage, 1924 (Ephemeroptera) will be a long-term element of south American diversity M. Cardoso et al. https://doi.org/10.1007/s10841-024-00551-w
7474. Influence of fast ice on future ice shelf melting in the Totten Glacier area, East Antarctica G. Van Achter et al. https://doi.org/10.5194/tc-16-4745-2022
7475. Robust projections of increasing land carbon storage in boreal and temperate forests under future climate change scenarios N. Wei & J. Xia https://doi.org/10.1016/j.oneear.2023.11.013
7476. Differentiable programming for Earth system modeling M. Gelbrecht et al. https://doi.org/10.5194/gmd-16-3123-2023
7477. Coordination to Understand and Reduce Global Model Biases by U.S. and Chinese Institutions M. Zhang et al. https://doi.org/10.1175/BAMS-D-17-0301.1
7478. Rising exposure and risk from seasonal hot and cold extremes in a warming world G. Konda et al. https://doi.org/10.1007/s00382-026-08256-3
7479. Investigation of Precipitation-Based Indices in the Mazandaran Region Under Climate Scenarios of the Sixth Report R. Norooz-valashedi et al. https://doi.org/10.61186/jwmr.15.1.131
7480. Horizontal Temperature Fluxes in the Arctic in CMIP5 Model Results Analyzed with Self-Organizing Maps D. Mewes & C. Jacobi https://doi.org/10.3390/atmos11030251
7481. Long-Term Volcanic Signal in 21st-Century Climate Projections with a 25-Member Stochastic Ensemble Using SOCOL-MPIOM M. Tkachenko & E. Rozanov https://doi.org/10.3390/atmos17060577
7482. Pacific sub-decadal sea surface temperature variations contributed to recent Antarctic Sea ice decline trend Q. Wu et al. https://doi.org/10.1038/s41467-025-58788-1
7483. Exploring nonlinear drought dynamics through stress, resilience, and tipping transitions using a non-autonomous dynamical systems framework with CMIP6 projections H. Ullah et al. https://doi.org/10.1007/s00477-026-03317-9
7484. Improvement of the simulated southern hemisphere stratospheric polar vortex across series of CMIPs K. Feng et al. https://doi.org/10.1007/s00382-024-07250-x
7485. Long-term analysis of the Antarctic total ozone zonal asymmetry by MERRA-2 and CMIP6 data O. Ivaniha https://doi.org/10.33275/1727-7485.1.2020.378
7486. Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations X. Chen et al. https://doi.org/10.3389/fenvs.2024.1503141
7487. Study on the Temporal and Spatial Characteristics of Snowfall in Winter over Tibetan Plateau Based on the CMIP6 Models 瑞. 焦 https://doi.org/10.12677/OJNS.2021.95093
7488. Co-emission of volcanic sulfur and halogens amplifies volcanic effective radiative forcing J. Staunton-Sykes et al. https://doi.org/10.5194/acp-21-9009-2021
7489. Projection of a winter ice-free Barents-Kara Sea by CMIP6 models with the CCHZ-DISO method Y. Peng et al. https://doi.org/10.1016/j.atmosres.2024.107631
7490. CNN‐Based ENSO Forecasts With a Focus on SSTA Zonal Pattern and Physical Interpretation M. Sun et al. https://doi.org/10.1029/2023GL105175
7491. California margin temperatures modulate regional circulation and extreme summer precipitation in the desert Southwest T. Bhattacharya et al. https://doi.org/10.1088/1748-9326/acfd43
7492. Dakar Niño under global warming investigated by a high-resolution regionally coupled model S. Koseki et al. https://doi.org/10.5194/esd-15-1401-2024
7493. Climatological features of future MCSs over the Canadian Prairies using convection-permitting climate models Y. Hwang et al. https://doi.org/10.1016/j.atmosres.2023.106922
7494. European Summer Synoptic Circulations and Their Observed 2022 and Projected Influence on Hot Extremes and Dry Spells P. Herrera‐Lormendez et al. https://doi.org/10.1029/2023GL104580
7495. Unraveling the Effects of Climate Change and Human Activity on Potential Habitat Range Shifts in Four Symplocos Species in China Z. Li et al. https://doi.org/10.3390/plants14203200
7496. Drought Projections in the Northernmost Region of South America Under Different Climate Change Scenarios H. Arregocés et al. https://doi.org/10.3390/earth6040122
7497. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science C. Irrgang et al. https://doi.org/10.1038/s42256-021-00374-3
7498. Modeling the pest‐pathogen threats in a warming world for the red turpentine beetle (Dendroctonus valens) and its symbiotic fungus (Leptographium procerum) Y. Zhou et al. https://doi.org/10.1002/ps.8046
7499. Multi-criteria evaluation and ranking of climate models under SSP scenarios using performance indicators for improved climate projection reliability in Punjab, India J. Singh et al. https://doi.org/10.1007/s11600-026-01967-5
7500. Global decline in ocean memory over the 21st century H. Shi et al. https://doi.org/10.1126/sciadv.abm3468
7501. Attribution of the record-breaking February 2022 compound wet and cold event over Southern China W. Li et al. https://doi.org/10.1088/1748-9326/ae6fd1
7502. Human influence on growing-period frosts like in early April 2021 in central France R. Vautard et al. https://doi.org/10.5194/nhess-23-1045-2023
7503. Thermal sensitivity of field metabolic rate predicts differential futures for bluefin tuna juveniles across the Atlantic Ocean C. Trueman et al. https://doi.org/10.1038/s41467-023-41930-2
7504. Diurnal cycle of precipitation over global monsoon systems in CMIP6 simulations C. Tao et al. https://doi.org/10.1007/s00382-022-06546-0
7505. Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere H. Bowman et al. https://doi.org/10.5194/acp-22-3507-2022
7506. A substantial reduction of total and group-specific population risk to compound heat and drought events in China through achieving carbon neutrality J. Chen et al. https://doi.org/10.1016/j.jclepro.2025.144694
7507. Unraveling sub-seasonal precipitation variability in the Middle East via Indian Ocean sea surface temperature A. Hochman et al. https://doi.org/10.1038/s41598-024-53677-x
7508. A Southern moisture pathway accelerates wetting of the Tibetan Plateau F. Cai & X. Jiang https://doi.org/10.1088/1748-9326/ae798d
7509. Effect of Plankton Composition Shifts in the North Atlantic on Atmospheric pCO2 A. Boot et al. https://doi.org/10.1029/2022GL100230
7510. Weakened influence of ENSO on the East Asian summer monsoon since the early 2000s T. Yu et al. https://doi.org/10.1038/s41612-025-00983-4
7511. Evaluation of Climate Change Impacts on Maize and Cotton Yields Under Different Climate Scenarios in Kırıkhan District, Türkiye M. Ozbuldu & A. Irvem https://doi.org/10.1007/s42106-024-00320-4
7512. Hexagonal discrete global grid system enhances model latitudinal spatial generalization and deep learning capabilities K. Li & J. Wang https://doi.org/10.1080/20964471.2026.2666953
7513. An NAO-dominated mode of atmospheric circulation drives large decadal changes in wintertime surface climate and snow mass over Eurasia K. Ye et al. https://doi.org/10.1088/1748-9326/ac592f
7514. Climate Change Impacts on the Availability of Anti-malarial Plants in Kenya D. Gafna et al. https://doi.org/10.1016/j.ecochg.2023.100070
7515. Humans drive future water scarcity changes across all Shared Socioeconomic Pathways N. Graham et al. https://doi.org/10.1088/1748-9326/ab639b
7516. Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jet J. Wimhurst & J. Greene https://doi.org/10.1016/j.rser.2019.109374
7517. Integration of Satellite-Derived Meteorological Inputs into SWAT, XGBoost, WGAN, and Hybrid Modelling Frameworks for Climate Change-Driven Streamflow Simulation in a Data-Scarce Region S. Yeşilyurt & G. Onuşluel Gül https://doi.org/10.3390/w18020239
7518. Assessing and predicting soil carbon density in China using CMIP5 earth system models L. Qiu et al. https://doi.org/10.1016/j.scitotenv.2021.149247
7519. CMIP7 data request: Earth system priorities and opportunities M. McPartland et al. https://doi.org/10.5194/gmd-19-2849-2026
7520. Projection of surface air temperature and precipitation in High Mountain Asia and its major upstream river basins through multi-model ensemble from CMIP6 S. Wang et al. https://doi.org/10.1007/s11629-025-9969-5
7521. Projecting Global Mean Sea‐Level Change Using CMIP6 Models T. Hermans et al. https://doi.org/10.1029/2020GL092064
7522. Greater committed warming after accounting for the pattern effect C. Zhou et al. https://doi.org/10.1038/s41558-020-00955-x
7523. Northwestward shift of the northern boundary of the East Asian summer monsoon during the mid-Holocene caused by orbital forcing and vegetation feedbacks J. Chen et al. https://doi.org/10.1016/j.quascirev.2021.107136
7524. Historical and future weather data for dynamic building simulations in Belgium using the regional climate model MAR: typical and extreme meteorological year and heatwaves S. Doutreloup et al. https://doi.org/10.5194/essd-14-3039-2022
7525. Global Precipitation for the Year 2023 and How It Relates to Longer Term Variations and Trends R. Adler & G. Gu https://doi.org/10.3390/atmos15050535
7526. The physics of climate variability and climate change M. Ghil & V. Lucarini https://doi.org/10.1103/RevModPhys.92.035002
7527. An energy budget approach to understand the Arctic warming during the Last Interglacial M. Sicard et al. https://doi.org/10.5194/cp-18-607-2022
7528. The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models A. Zhao et al. https://doi.org/10.5194/acp-24-13385-2024
7529. The Climatic Analysis of Summer Monsoon Extreme Precipitation Events over West Africa in CMIP6 Simulations N. Klutse et al. https://doi.org/10.1007/s41748-021-00203-y
7530. On the assessment of the wave modeling uncertainty in wave climate projections H. Lobeto et al. https://doi.org/10.1088/1748-9326/ad0137
7531. TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets P. Ullrich et al. https://doi.org/10.5194/gmd-14-5023-2021
7532. Modulation of the Eastern Equatorial Pacific Seasonal Cycle by Tropical Instability Waves L. Maillard et al. https://doi.org/10.1029/2022GL100991
7533. Thermodynamic and hydrological drivers of the soil and bedrock thermal regimes in central Spain F. García-Pereira et al. https://doi.org/10.5194/soil-10-1-2024
7534. Genetic diversity and environmental adaptation in Ethiopian tef K. Hein et al. https://doi.org/10.1093/g3journal/jkae303
7535. CMIP6 simulations of GPP growth satisfy the constraint imposed by increasing CO2 seasonal-cycle amplitude G. Alexandrov https://doi.org/10.1088/1755-1315/606/1/012003
7536. Countries most exposed to individual and concurrent extremes and near-permanent extreme conditions at different global warming levels F. Batibeniz et al. https://doi.org/10.5194/esd-14-485-2023
7537. Systematic attribution of heatwaves to the emissions of carbon majors Y. Quilcaille et al. https://doi.org/10.1038/s41586-025-09450-9
7538. Simple Global Ocean Biogeochemistry With Light, Iron, Nutrients and Gas Version 2 (BLINGv2): Model Description and Simulation Characteristics in GFDL's CM4.0 J. Dunne et al. https://doi.org/10.1029/2019MS002008
7539. Severe reduction in spawning days and larval abundance of walleye pollock under future warming in the western East/Japan Sea Y. Kim et al. https://doi.org/10.1088/2515-7620/ad3267
7540. Sensitivity to forecast surface mass balance outweighs sensitivity to basal sliding descriptions for 21st century mass loss from three major Greenland outlet glaciers J. Carr et al. https://doi.org/10.5194/tc-18-2719-2024
7541. Impact of the subtropical South Pacific on the decadal change in El Niño zonal propagation J. Zheng et al. https://doi.org/10.1007/s00382-024-07131-3
7542. Evaluation and selection of CMIP6 climate models in Upper Awash Basin (UBA), Ethiopia S. Gebresellase et al. https://doi.org/10.1007/s00704-022-04056-x
7543. Fast-get-faster explains wavier upper-level jet stream under climate change T. Shaw et al. https://doi.org/10.1038/s43247-024-01819-4
7544. Transitions of the Atlantic Ocean circulation H. Dijkstra et al. https://doi.org/10.1038/s42254-026-00945-6
7545. Forecasting the groundwater levels in the Baltic through standardized index analysis A. Babre et al. https://doi.org/10.1016/j.wace.2024.100728
7546. Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake A. Schnepf et al. https://doi.org/10.3389/fpls.2020.00316
7547. The phase change in the annual cycle of sea surface temperature F. Yang & Z. Wu https://doi.org/10.1038/s41612-024-00591-8
7548. On Tanzania’s Precipitation Climatology, Variability, and Future Projection K. Borhara et al. https://doi.org/10.3390/cli8020034
7549. Emerging global risks of extreme rain-on-snow events under climate warming K. Hu et al. https://doi.org/10.1016/j.jhydrol.2026.135651
7550. Performance evaluation of CMIP6 GCMs for the projections of precipitation extremes in Pakistan Z. Ali et al. https://doi.org/10.1007/s00382-023-06831-6
7551. The Role of Underlying Boundary Forcing in Shaping the Recent Decadal Change of Persistent Anomalous Activity over the Ural Mountains T. Lei & S. Li https://doi.org/10.1007/s00376-023-2365-6
7552. Uncertainty in carbon budget estimates due to internal climate variability K. Tokarska et al. https://doi.org/10.1088/1748-9326/abaf1b
7553. Climate change reduces frost exposure for high-value California orchard crops L. Parker et al. https://doi.org/10.1016/j.scitotenv.2020.143971
7554. Human Activities and Climate Separately Influence the Global Dispersal and Colonization Potential of Lantana camara L. H. Guo et al. https://doi.org/10.3390/biology15100775
7555. Facets of the tropical high-cloud feedback in a global storm-resolving model J. Deutloff et al. https://doi.org/10.1038/s41612-026-01463-z
7556. Permafrost degradation: A critical driver of aboveground carbon sink loss in China's boreal forests H. Yang et al. https://doi.org/10.1016/j.catena.2026.109912
7557. Evapotranspiration in the Amazon: spatial patterns, seasonality, and recent trends in observations, reanalysis, and climate models J. Baker et al. https://doi.org/10.5194/hess-25-2279-2021
7558. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect S. Fiedler et al. https://doi.org/10.5194/gmd-12-989-2019
7559. The competition between anthropogenic aerosol and greenhouse gas climate forcing is revealed by North Pacific water-mass changes J. Shi et al. https://doi.org/10.1126/sciadv.adh7746
7560. Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity H. Yang et al. https://doi.org/10.3390/rs16193708
7561. Influence of groundwater recharge projections on climate-driven subsurface warming: insights from numerical modeling M. Tsypin et al. https://doi.org/10.5194/hess-30-1647-2026
7562. CMIP6 data usage: lessons learned from more than 200 million downloads J. Lavoie et al. https://doi.org/10.5194/gmd-19-8977-2026
7563. Recent heatwaves as a prelude to climate extremes in the western Mediterranean region E. Tejedor et al. https://doi.org/10.1038/s41612-024-00771-6
7564. Climatology and trends of wintertime diurnal temperature range over East Asia in CMIP6 models: Evaluation and attribution L. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106438
7565. Increased multi-year La Niña since 1960s driven by internal climate variability S. Liu et al. https://doi.org/10.1038/s41612-025-00994-1
7566. Projections of future climates: exploring temperature and precipitation patterns in Iran’s coastal regions with MPI-ESM1.2-HR F. Shahrezaei et al. https://doi.org/10.1007/s12040-026-02738-y
7567. Climate change scenario services: From science to facilitating action C. Auer et al. https://doi.org/10.1016/j.oneear.2021.07.015
7568. Maximizing photovoltaic potential and minimizing costs in a future warmer climate: The role of atmospheric aerosols and greenhouse gas emissions A. Isaza et al. https://doi.org/10.1016/j.renene.2023.119561
7569. Recent decreases in domestic energy consumption in the United Kingdom attributed to human influence on the climate N. Christidis et al. https://doi.org/10.1002/asl.1062
7570. Inequality in human exposure to future climate extremes P. Hosseinzadehtalaei et al. https://doi.org/10.1038/s41467-025-63385-3
7571. CMIP6 Earth System Models Project Greater Acceleration of Climate Zone Change Due To Stronger Warming Rates A. Bayar et al. https://doi.org/10.1029/2022EF002972
7572. Automatic mapping of urban heat islands based on high-resolution climate simulations with application to French cities G. Quenum et al. https://doi.org/10.1016/j.uclim.2026.103117
7573. North Pacific trade wind precursors to ENSO in the CMIP6 HighResMIP multimodel ensemble V. Pivotti et al. https://doi.org/10.1007/s00382-022-06449-0
7574. Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li https://doi.org/10.1002/joc.7559
7575. Observational Assessment of Changes in Earth’s Energy Imbalance Since 2000 N. Loeb et al. https://doi.org/10.1007/s10712-024-09838-8
7576. Assessing the performance of detection and attribution simulations with the CAS-GAMIL3.0 model L. Zhang et al. https://doi.org/10.1016/j.accre.2026.08.004
7577. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model M. Yue et al. https://doi.org/10.1029/2023JD039130
7578. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. https://doi.org/10.1002/joc.8131
7579. Climate-Driven Amplification of Natural Crustal Dust Emission in China: A Quantitative Assessment for Mid-21st Century Scenarios L. Song et al. https://doi.org/10.1021/acsestair.5c00402
7580. Oceanic and Atmospheric Drivers of Post‐El‐Niño Chlorophyll Rebound in the Equatorial Pacific H. Lim et al. https://doi.org/10.1029/2021GL096113
7581. Temperature sensitivity of the mineral permafrost feedback at the continental scale E. Walsh et al. https://doi.org/10.1126/sciadv.adq4893
7582. Advanced Deep Learning Combined with Contribution Analysis for Interpretable ENSO Forecasting J. Tang et al. https://doi.org/10.3390/jmse14090806
7583. Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models S. Liu et al. https://doi.org/10.1029/2023JD039737
7584. An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. https://doi.org/10.1007/s13131-021-1705-6
7585. Generation of westerly wind bursts by forcing outside the tropics A. Sullivan et al. https://doi.org/10.1038/s41598-020-79655-7
7586. Quantifying the Occurrence of Record Hot Years Through Normalized Warming Trends X. Zeng et al. https://doi.org/10.1029/2020GL091626
7587. A Study of AR-, TS-, and MCS-Associated Precipitation and Extreme Precipitation in Present and Warmer Climates M. Zhao https://doi.org/10.1175/JCLI-D-21-0145.1
7588. Antarctic sea ice multidecadal variability triggered by Southern Annular Mode and deep convection Y. Morioka et al. https://doi.org/10.1038/s43247-024-01783-z
7589. Butterfly effect and a self-modulating El Niño response to global warming W. Cai et al. https://doi.org/10.1038/s41586-020-2641-x
7590. The effects of anthropogenic and volcanic aerosols and greenhouse gases on twentieth century Sahel precipitation R. Herman et al. https://doi.org/10.1038/s41598-020-68356-w
7591. Evaluation of daily precipitation modeling performance from different CMIP6 datasets: A case study in the Hanjiang River basin D. Pengxin et al. https://doi.org/10.1016/j.asr.2024.07.045
7592. Floods across the eastern United States are projected to last longer H. Kim & G. Villarini https://doi.org/10.1038/s44304-024-00021-y
7593. Effects of global ocean warming and heatwaves on thermal safety margins of marine predator life stages M. Hammond et al. https://doi.org/10.1093/icesjms/fsag121
7594. Robust increase in population exposure to heat stress with increasing global warming N. Freychet et al. https://doi.org/10.1088/1748-9326/ac71b9
7595. Record-breaking western North Pacific subtropical high during 2023 Z. Wu et al. https://doi.org/10.1016/j.gr.2025.10.001
7596. Pervasive alterations to snow-dominated ecosystem functions under climate change W. Wieder et al. https://doi.org/10.1073/pnas.2202393119
7597. Irrigation and hydrometeorological extremes P. de Vrese & T. Stacke https://doi.org/10.1007/s00382-020-05337-9
7598. Overshooting the critical threshold for the Greenland ice sheet N. Bochow et al. https://doi.org/10.1038/s41586-023-06503-9
7599. Assessment of the tropical cyclone-induced risk on offshore wind turbines under climate change Z. Wen et al. https://doi.org/10.1007/s11069-023-06390-3
7600. The roles of the Quasi-Biennial Oscillation and El Niño for entry stratospheric water vapor in observations and coupled chemistry–ocean CCMI and CMIP6 models S. Ziskin Ziv et al. https://doi.org/10.5194/acp-22-7523-2022
7601. Promoting reproducibility and increased collaboration in electric sector capacity expansion models with community benchmarking and intercomparison efforts C. Henry et al. https://doi.org/10.1016/j.apenergy.2021.117745
7602. Land use change impacts on climate extremes over the historical period M. Zhang et al. https://doi.org/10.1007/s00382-024-07375-z
7603. Ozone Variation Trends under Different CMIP6 Scenarios L. Shang et al. https://doi.org/10.3390/atmos12010112
7604. Federated and reusable processing of Earth observation data M. Mohr et al. https://doi.org/10.1038/s41597-025-04513-y
7605. Nitrogen deposition outweighs climatic variability in driving annual growth rate of canopy beech trees: Evidence from long‐term growth reconstruction across a geographic gradient T. Gentilesca et al. https://doi.org/10.1111/gcb.14142
7606. Growing human-induced climate change fingerprint in regional weekly fire extremes S. Feng et al. https://doi.org/10.1038/s41612-025-01021-z
7607. Evaluation of CMIP6 Global Climate Models for Simulating Land Surface Energy and Water Fluxes During 1979–2014 J. Li et al. https://doi.org/10.1029/2021MS002515
7608. Global wind energy resources decline under climate change A. Martinez & G. Iglesias https://doi.org/10.1016/j.energy.2023.129765
7609. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. https://doi.org/10.5194/acp-20-16023-2020
7610. Increasing impacts of summer extreme precipitation and heatwaves in eastern China Y. Yao et al. https://doi.org/10.1007/s10584-023-03610-4
7611. An estimate of global cardiovascular mortality burden attributable to ambient ozone exposure reveals urban-rural environmental injustice H. Sun et al. https://doi.org/10.1016/j.oneear.2024.08.018
7612. Reduced Tropical Climate Land Area Under Global Warming O. Adam et al. https://doi.org/10.1029/2022GL102546
7613. Surface Air Temperature Trend Over the Tibetan Plateau in CMIP6 and Its Constraint in Future Projection J. Zhang et al. https://doi.org/10.1029/2023JD039527
7614. Agricultural risk assessment of compound dry and hot events in China Y. Zhang et al. https://doi.org/10.1016/j.agwat.2022.108128
7615. Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times A. Cauquoin et al. https://doi.org/10.1007/s11356-025-35919-1
7616. High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 R. Haarsma et al. https://doi.org/10.5194/gmd-9-4185-2016
7617. Evaluation of CMIP6 precipitation simulations across different climatic zones: Uncertainty and model intercomparison F. Yazdandoost et al. https://doi.org/10.1016/j.atmosres.2020.105369
7618. Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6 X. Zheng et al. https://doi.org/10.5194/gmd-15-3941-2022
7619. Assessing the Impact of Stratospheric Aerosol Injection on US Convective Weather Environments I. Glade et al. https://doi.org/10.1029/2023EF004041
7620. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. https://doi.org/10.5194/gmd-15-5371-2022
7621. Evaluation and comparison of the performances of the CMIP5 and CMIP6 models in reproducing extreme rainfall in the Upper Blue Nile basin of Ethiopia H. Belay et al. https://doi.org/10.1007/s00704-024-05187-z
7622. Net greenhouse gas balance in U.S. croplands: How can soils be part of the climate solution? Y. You et al. https://doi.org/10.1111/gcb.17109
7623. The quiet crossing of ocean tipping points C. Heinze et al. https://doi.org/10.1073/pnas.2008478118
7624. Neglecting land–atmosphere feedbacks overestimates climate-driven increases in evapotranspiration S. Zhou & B. Yu https://doi.org/10.1038/s41558-025-02428-5
7625. Projected Reorganization of Euro-Mediterranean Bioclimates under Climate Change: Evidence from CMIP6 Multi-model Ensemble G. Ferreiro-Lera et al. https://doi.org/10.1007/s41748-026-01145-z
7626. Recent Enhancement in Co-Variability of the Western North Pacific Summer Monsoon and the Equatorial Zonal Wind M. Wu et al. https://doi.org/10.1007/s00376-023-2215-6
7627. National climate change impact assessments underestimate the potential of autonomous adaptation J. Arbelaez-Gaviria et al. https://doi.org/10.1007/s10113-026-02521-1
7628. North Atlantic jet stream projections in the context of the past 1,250 years M. Osman et al. https://doi.org/10.1073/pnas.2104105118
7629. Keeping science on keel when software moves D. Ahn et al. https://doi.org/10.1145/3382037
7630. Extreme Water Vapor Transport During the March 2021 Sydney Floods in the Context of Climate Projections K. Reid et al. https://doi.org/10.1029/2021GL095335
7631. Variability of the Pacific subtropical cells under global warming in CMIP6 models X. Han et al. https://doi.org/10.1007/s00343-023-2315-2
7632. Where and how to conserve butterflies amid climate change: a model-based approach on Papilio alexanor L. Anselmo et al. https://doi.org/10.1007/s10531-025-03170-2
7633. A Comprehensive Assessment of Meteorological and Hydrological Drought Under Climate Change over the Upper Baro Watershed S. Wondimu https://doi.org/10.11648/j.earth.20251404.11
7634. CMIP6 projected trend of winter and summer variation in Arctic cyclones over the 21st century J. Song et al. https://doi.org/10.1007/s00382-024-07531-5
7635. Investigation of Added Value in Regional Climate Models for East Asian Storm Track Analysis U. Byun et al. https://doi.org/10.1029/2023JD039167
7636. Update of the Köppen–Geiger climate classification for EFSA PLH risk assessment E. Rossi et al. https://doi.org/10.2903/j.efsa.2026.9859
7637. Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6 H. Zhu et al. https://doi.org/10.1016/j.scib.2021.07.026
7638. Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models M. Ahn et al. https://doi.org/10.5194/gmd-16-3927-2023
7639. Climate impacts of the El Niño–Southern Oscillation in Africa W. Cai et al. https://doi.org/10.1038/s43017-025-00705-7
7640. Anthropogenic global warming increases the risk of record-breaking extreme precipitation events in low-income countries L. Nguyen et al. https://doi.org/10.1038/s43247-026-03649-y
7641. Severe Cold Winter in North America Linked to Bering Sea Ice Loss M. Iida et al. https://doi.org/10.1175/JCLI-D-19-0994.1
7642. Developing a Database of Hydrological, Meteorological, and Physiographic Characteristics for River Catchments of the Russian Federation D. Abramov et al. https://doi.org/10.3103/S1068373926030052
7643. Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response Z. Nicholls et al. https://doi.org/10.5194/gmd-13-5175-2020
7644. Warming Climate and Elevated CO2 Will Enhance Future Winter Wheat Yields in North China Region M. Shoukat et al. https://doi.org/10.3390/atmos13081275
7645. A revised temperature-dependent remineralization scheme for the Community Earth System Model (v1.2.2) E. Brabson et al. https://doi.org/10.5194/gmd-19-1143-2026
7646. Space-time variability modelling of landslide susceptibility for strategic infrastructure under changing climate scenarios: The case study of the mega clean energy transmission network (Yangtze River Basin, China) B. Jin et al. https://doi.org/10.1016/j.enggeo.2026.108738
7647. Accelerated Greenland Ice Sheet Mass Loss Under High Greenhouse Gas Forcing as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. https://doi.org/10.1029/2019MS002031
7648. Effects of extreme heat on vegetation carbon sequestration in the Yellow River Basin G. Dong et al. https://doi.org/10.1007/s11430-024-1712-8
7649. Are the Different Eddy Metrics Quantifying the Winter North Pacific Storm Track Consistent With Each Other? M. Yang et al. https://doi.org/10.1029/2021JD034979
7650. Tropical convection regimes in climate models: evaluation with satellite observations A. Steiner et al. https://doi.org/10.5194/acp-18-4657-2018
7651. Enhanced North Pacific impact on El Niño/Southern Oscillation under greenhouse warming F. Jia et al. https://doi.org/10.1038/s41558-021-01139-x
7652. Heatwave magnitude impact over Indian cities: CMIP 6 projections M. Goyal et al. https://doi.org/10.1007/s00704-023-04599-7
7653. Turbulent isopycnal mixing dominates thermohaline transformations of intermediate ocean waters F. Sévellec et al. https://doi.org/10.1038/s41467-025-64806-z
7654. Projections of moisture conditions in the Sevastopol region for grapes growing E. Vyshkvarkova et al. https://doi.org/10.22363/2313-2310-2022-30-3-300-311
7655. Improvements in the relationship between tropical precipitation and sea surface temperature from CMIP5 to CMIP6 X. Yang & P. Huang https://doi.org/10.1007/s00382-022-06519-3
7656. Evaluation of climate model aerosol trends with ground-based observations over the last 2 decades – an AeroCom and CMIP6 analysis A. Mortier et al. https://doi.org/10.5194/acp-20-13355-2020
7657. Response of Western North Pacific Anomalous Anticyclones in the Summer of Decaying El Niño to Global Warming: Diverse Projections Based on CMIP6 and CMIP5 Models https://doi.org/10.1175/JCLI-D-21-0352.1
7658. Analysis on spatiotemporal evolution and meteorological driving factors of future meteorological drought in Northwest China based on CMIP6 J. Shan et al. https://doi.org/10.1016/j.ejrh.2025.102513
7659. Increasing Importance of Local Hydroclimatology During the Tundra Growing Season in the Yukon–Kuskokwim Delta A. Hendricks et al. https://doi.org/10.3390/w17010090
7660. Simulated methane emissions from Arctic ponds are highly sensitive to warming Z. Rehder et al. https://doi.org/10.5194/bg-20-2837-2023
7661. Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields Under Climate Change M. Zachariah et al. https://doi.org/10.1029/2021GL094702
7662. Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM) J. Contzen et al. https://doi.org/10.5194/gmd-15-1803-2022
7663. Evaluating the performance of CMIP6 models in the Southern Temperate Zone with a multivariable integrated evaluation method X. Pan et al. https://doi.org/10.3389/fmars.2025.1651187
7664. IPCC baseline scenarios have over-projected CO2 emissions and economic growth M. Burgess et al. https://doi.org/10.1088/1748-9326/abcdd2
7665. Assessing resolution sensitivity in coupled climate simulations with AWI-CM3 M. Zapponini et al. https://doi.org/10.5194/gmd-19-3395-2026
7666. Removing the Effects of Tropical Dynamics from North Pacific Climate Variability Y. Zhao et al. https://doi.org/10.1175/JCLI-D-21-0344.1
7667. Tropospheric ozone changes and ozone sensitivity from the present day to the future under shared socio-economic pathways Z. Liu et al. https://doi.org/10.5194/acp-22-1209-2022
7668. Accounting for moist processes in a sub‐grid orographic drag scheme S. Smith https://doi.org/10.1002/qj.4013
7669. When cities overheat: Urban heat exposure under the Swiss Climate CH2025 Scenarios A. Senoner et al. https://doi.org/10.1016/j.cacint.2026.100385
7670. Why Does the Ensemble Mean of CMIP6 Models Simulate Arctic Temperature More Accurately Than Global Temperature? P. Chylek et al. https://doi.org/10.3390/atmos15050567
7671. Comparison of CMIP5 and CMIP6 Multi-Model Ensemble for Precipitation Downscaling Results and Observational Data: The Case of Hanjiang River Basin D. Wang et al. https://doi.org/10.3390/atmos12070867
7672. Extremely persistent precipitation events during April–June 2022 in the southern China: projected changes at different global warming levels and associated physical processes B. Sheng et al. https://doi.org/10.1007/s00382-025-07644-5
7673. Projections of Future Sea Level Contributions from the Greenland and Antarctic Ice Sheets: Challenges Beyond Dynamical Ice Sheet Modeling S. Nowicki & H. Seroussi https://doi.org/10.5670/oceanog.2018.216
7674. Insights of aerosol-precipitation nexus in the central Arctic through CMIP6 climate models B. Swain et al. https://doi.org/10.1038/s41612-025-00957-6
7675. Changes in Dust Emissions in the Gobi Desert due to Global Warming Using MRI-ESM2.0 T. Maki et al. https://doi.org/10.2151/sola.2022-035
7676. Climate-driven spatiotemporal evolution of China's inland wetlands from 2000 to 2100 A. Li et al. https://doi.org/10.1016/j.eiar.2026.108658
7677. Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. https://doi.org/10.1088/1748-9326/aca68d
7678. A novel data-driven dynamical model for predicting future climate trends F. Ochieng https://doi.org/10.1007/s40808-024-02021-3
7679. Diminishing seasonality of subtropical water availability in a warmer world dominated by soil moisture–atmosphere feedbacks S. Zhou et al. https://doi.org/10.1038/s41467-022-33473-9
7680. Influence of the Interdecadal Pacific Oscillation on South Asian and East Asian summer monsoon rainfall in CMIP6 models V. Chinta et al. https://doi.org/10.1007/s00382-021-05992-6
7681. Long‐Term Climate Simulations Using the IITM Earth System Model (IITM‐ESMv2) With Focus on the South Asian Monsoon P. Swapna et al. https://doi.org/10.1029/2017MS001262
7682. Mean‐State Dependence of CO2‐Forced Tropical Atlantic Sector Climate Change A. Imbol Nkwinkwa et al. https://doi.org/10.1029/2021GL093803
7683. The Seasonal-to-Multiyear Large Ensemble (SMYLE) prediction system using the Community Earth System Model version 2 S. Yeager et al. https://doi.org/10.5194/gmd-15-6451-2022
7684. Evaluation of Dynamically Downscaled CMIP6‐CCAM Models Over Australia S. Chapman et al. https://doi.org/10.1029/2023EF003548
7685. Rapid subsurface warming in the subpolar North Atlantic from freshening L. Menviel et al. https://doi.org/10.1038/s41467-026-70635-5
7686. Extending the global high-resolution downscaled projections dataset to include CMIP6 projections at increased resolution coherent with the ERA5-Land reanalysis T. Noël et al. https://doi.org/10.1016/j.dib.2022.108669
7687. Forest-savanna stability in India under human interventions and changing climate N. Dubey et al. https://doi.org/10.1038/s43247-025-03076-5
7688. Roles of Meridional Overturning in Subpolar Southern Ocean SST Trends: Insights from Ensemble Simulations L. Zhang et al. https://doi.org/10.1175/JCLI-D-21-0466.1
7689. Decadal predictions of wind, solar and compound power indicators to support the European renewable energy sector S. Moreno-Montes et al. https://doi.org/10.5194/esd-17-1435-2026
7690. ISMIP6-based projections of ocean-forced Antarctic Ice Sheet evolution using the Community Ice Sheet Model W. Lipscomb et al. https://doi.org/10.5194/tc-15-633-2021
7691. Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea T. Vo et al. https://doi.org/10.1007/s00477-024-02664-9
7692. Advancing interpretability of machine-learning prediction models L. Trenary & T. DelSole https://doi.org/10.1017/eds.2022.13
7693. Mid-holocene changes in the global ITCZ: meridional structure and land–sea rainfall differences J. Bian & J. Räisänen https://doi.org/10.1007/s00382-024-07470-1
7694. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac https://doi.org/10.5194/nhess-23-21-2023
7695. Future population transgress climatic risk boundaries of extreme temperature and precipitation T. Sano & T. Oki https://doi.org/10.1088/2515-7620/ac85a1
7696. Tropical and subtropical Asia's valued tree species under threat H. Gaisberger et al. https://doi.org/10.1111/cobi.13873
7697. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. https://doi.org/10.1029/2020MS002126
7698. Anthropogenic fingerprints in daily precipitation revealed by deep learning Y. Ham et al. https://doi.org/10.1038/s41586-023-06474-x
7699. Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains C. Lin et al. https://doi.org/10.5194/esd-13-1197-2022
7700. Assessment of Future Typhoon Rainfall and Equivalent Rainfall Return Periods Based on the WRF-PGW Method H. Li et al. https://doi.org/10.3390/app16125914
7701. Shutdown of northern Atlantic overturning after 2100 following deep mixing collapse in CMIP6 projections S. Drijfhout et al. https://doi.org/10.1088/1748-9326/adfa3b
7702. Toward Consistent Observational Constraints in Climate Predictions and Projections G. Hegerl et al. https://doi.org/10.3389/fclim.2021.678109
7703. Causal Relationships Between Climate and the Carbon Cycle Considering Natural Climate Variability and Economic Cyclicity of Anthropogenic Greenhouse Gas Emissions into the Atmosphere K. Muryshev et al. https://doi.org/10.55959/MSU0579-9392.80.2540902
7704. Climate impacts of 2009/2010 mixed-type El Niño on double ITCZs over the eastern Pacific Ocean Y. Chen et al. https://doi.org/10.3389/fmars.2023.1114809
7705. A spatial emergent constraint on the sensitivity of soil carbon turnover to global warming R. Varney et al. https://doi.org/10.1038/s41467-020-19208-8
7706. Management options for dry bean (Phaseolus vulgaris L.) under the projected climate change in the semi-arid areas of eastern Amhara, Northeastern Ethiopia M. Kebede et al. https://doi.org/10.1016/j.jafr.2025.102375
7707. Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation J. Pianezze et al. https://doi.org/10.5194/nhess-22-1301-2022
7708. Principle-based adept predictions of global warming from climate mean states M. Cai et al. https://doi.org/10.1093/nsr/nwae442
7709. Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation M. Wehner et al. https://doi.org/10.1016/j.wace.2020.100283
7710. Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming R. Flach et al. https://doi.org/10.1016/j.worlddev.2021.105582
7711. Atmospheric black carbon in the climate system Ö. Gustafsson et al. https://doi.org/10.1038/s43017-026-00773-3
7712. Unprecedented September Heatwave in the Yangtze River Basin in 2024 and the Great Exposure Risk to School Students X. Tiejun et al. https://doi.org/10.1002/asl.1300
7713. Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) J. Orr et al. https://doi.org/10.5194/gmd-10-2169-2017
7714. Why the relational data model matters for climate data management E. Cimadevilla https://doi.org/10.1016/j.cageo.2025.105931
7715. Projections of future precipitation and air temperature over the Tibetan Plateau based on Coupled Model Intercomparison Project Phase 6 multimodel ensembles W. Zhang et al. https://doi.org/10.1002/joc.7865
7716. 21st Century Global and Regional Surface Temperature Projections N. Ma et al. https://doi.org/10.1029/2022EA002662
7717. Persistent anomalies of the North Atlantic jet stream and associated surface extremes over Europe V. Galfi & G. Messori https://doi.org/10.1088/1748-9326/acaedf
7718. Identifying source of predictability for vapor pressure deficit variability in the southwestern United States J. Lou et al. https://doi.org/10.1038/s41612-025-01028-6
7719. The impacts of global warming on arid climate and drought features J. Kim et al. https://doi.org/10.1007/s00704-022-04348-2
7720. Newly dated permafrost deposits and their paleoecological inventory reveal an Eemian much warmer than today in Arctic Siberia L. Schirrmeister et al. https://doi.org/10.5194/cp-21-1143-2025
7721. Adaptation Strategies for Mitigating Climate Change Impacts on Hydropower Generation in the Naumure Multipurpose Project (NMP) Located in the West Rapti River Basin, Nepal S. Kunwar et al. https://doi.org/10.1007/s41748-026-01184-6
7722. Multi‐model ensemble of CMIP6 projections for future extreme climate stress on wheat in the North China plain H. Bai et al. https://doi.org/10.1002/joc.6674
7723. California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. https://doi.org/10.5194/acp-24-6937-2024
7724. Analysis of the Atmosphere and the Ocean Upper Layer State Predictability for up to 5 Years Ahead Using the INMCM5 Climate Model Hindcasts V. Vorobeva et al. https://doi.org/10.3103/S106837392307004X
7725. Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models M. Vichi et al. https://doi.org/10.1088/2752-5295/add614
7726. Stratospheric precursor induces wintertime phase reversal of the “warm Arctic-cold Eurasia” pattern Y. Zhang et al. https://doi.org/10.1038/s41467-026-70100-3
7727. Anthropogenic warming is accelerating recent heatwaves in Africa V. Bobde et al. https://doi.org/10.1038/s43247-025-02578-6
7728. Historical Changes in Surface Soil Moisture Over the Contiguous United States: An Assessment of CMIP6 S. Yuan et al. https://doi.org/10.1029/2020GL089991
7729. Analysis and prediction of marine heatwaves in the Western North Pacific and Chinese coastal region Y. Yang et al. https://doi.org/10.3389/fmars.2022.1048557
7730. Indian Ocean Dipole Changes During the Last Interglacial Modulated by the Mean Oceanic Climatology S. Liu et al. https://doi.org/10.1029/2023GL106153
7731. Toward Regularized Optimal Fingerprinting in Detection and Attribution of Extreme Temperature Changes in South China 诗. 熊 https://doi.org/10.12677/sa.2026.155110
7732. Predicting the potential distribution of Atractylodes lancea in China under CMIP6 climate scenarios using an optimized MaxEnt model Y. Sun et al. https://doi.org/10.3389/fpls.2026.1881018
7733. Predictive Skill Assessment for Land Water Storage in CMIP5 Decadal Hindcasts by a Global Reconstruction of GRACE Satellite Data L. Jensen et al. https://doi.org/10.1175/JCLI-D-20-0042.1
7734. Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. https://doi.org/10.5194/hess-27-2747-2023
7735. Projected Antarctic sea ice change contributes to increased occurrence of strong El Niño J. Liu & Z. Zhu https://doi.org/10.1038/s41612-024-00789-w
7736. Doubled Saharan dust emissions decrease solar photovoltaic potential through dust–radiation–cloud interactions in CMIP6 simulation P. Adigun et al. https://doi.org/10.1088/2752-5295/ae2ef3
7737. Current status on the need for improved accessibility to climate models code J. Añel et al. https://doi.org/10.5194/gmd-14-923-2021
7738. ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data T. Reichelt et al. https://doi.org/10.5194/gmd-19-5933-2026
7739. The Relationship between Model Biases in East Asian Summer Monsoon Rainfall and Land Evaporation R. Geen et al. https://doi.org/10.1007/s00376-023-2297-1
7740. Updating the radiation infrastructure in MESSy (based on MESSy version 2.55) M. Nützel et al. https://doi.org/10.5194/gmd-17-5821-2024
7741. Evaluating the thermal resilience of thermally activated building systems under future extreme weather conditions in cold regions of China X. Yang et al. https://doi.org/10.1016/j.jclepro.2026.148246
7742. Significant Increase of the Global Population Exposure to Increased Precipitation Extremes in the Future H. Chen & J. Sun https://doi.org/10.1029/2020EF001941
7743. Reversed tropical-Arctic teleconnection under climate change W. Tang et al. https://doi.org/10.1038/s41612-025-01243-1
7744. Assessment of Sea Surface Temperature Warming in the Tropical Indian Ocean Simulated by CMIP Models X. Zhang et al. https://doi.org/10.1007/s11802-023-5264-7
7745. Climate scenarios in CMIP6 multi-model projections for climate resilience planning in the upper stream of Tri An reservoir P. Nhi & V. Loc https://doi.org/10.1088/1755-1315/1657/1/012037
7746. Insights into recent aerosol trends over Asia from observations and CMIP6 simulations S. Ramachandran et al. https://doi.org/10.1016/j.scitotenv.2021.150756
7747. Can CMIP6 models simulate the network-based early warning signals for El Niño? Insights for climate modeling and network analyses J. Han et al. https://doi.org/10.1007/s00382-026-08057-8
7748. Exogenous heatwaves amplify heat risks in China under anthropogenic climate change G. Wang et al. https://doi.org/10.1007/s11430-025-1862-x
7749. Revisiting current distribution and future habitat suitability models for the endemic Malabar Tree Toad (Pedostibes tuberculosus) using citizen science data C. Aravind et al. https://doi.org/10.1038/s41598-024-60785-1
7750. Amplification of the Temperature Seasonality in the Mediterranean Region Under Anthropogenic Climate Change X. Feng et al. https://doi.org/10.1029/2022GL099658
7751. CMIP6模式对北太平洋海表盐度年代际变化的模拟评估 建. 陈 et al. https://doi.org/10.1360/N072023-0174
7752. Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. https://doi.org/10.1021/acs.est.1c04380
7753. AMOC weakening in response to global and regional reductions in aerosol emissions R. Allen et al. https://doi.org/10.1088/2752-5295/ae63ef
7754. Dynamic Downscaling Simulation and Projection of Precipitation Extremes Over China Under a Shared Socioeconomic Pathway Scenario N. Luo et al. https://doi.org/10.1029/2022JD037133
7755. Reduced ITCZ meridional asymmetry under global warming in CMIP6 models H. Lu & C. Yuan https://doi.org/10.1016/j.aosl.2026.100813
7756. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop https://doi.org/10.1016/j.gloplacha.2016.12.017
7757. 沙漠演变及沙漠化研究的新趋向 化. 鹿 https://doi.org/10.1360/SSTe-2024-0362
7758. Changes in the upper and deep cells of the South China Sea overturning circulation under global warming T. Wang et al. https://doi.org/10.1088/2515-7620/ae5927
7759. Mechanisms of enhanced ocean surface warming in the Kuroshio region for 1951–2010 M. Toda & M. Watanabe https://doi.org/10.1007/s00382-020-05221-6
7760. CMIP5 and CMIP6: contrasting perspectives on Nigeria’s climate transformation B. Tanimu et al. https://doi.org/10.1007/s00704-024-05272-3
7761. Study of hydrologically critical subbasins under climate change S. Gaur et al. https://doi.org/10.2166/wcc.2023.038
7762. Impact of Climate Change on Drought Dynamics in the Ganale Dawa River Basin, Ethiopia M. Abdulahi et al. https://doi.org/10.3390/cli13110231
7763. Globally Increasing Atmospheric Aridity Over the 21st Century Z. Fang et al. https://doi.org/10.1029/2022EF003019
7764. Spatiotemporal variability of drought and affected croplands in the horn of Africa A. Alasow et al. https://doi.org/10.1007/s00477-023-02575-1
7765. Hydroclimatic Change Detection Based on Observations and Bias-Corrected CMIP6 Projections Under SSP Scenarios P. Spor et al. https://doi.org/10.3390/su18084014
7766. Amplified Madden–Julian oscillation impacts in the Pacific–North America region W. Zhou et al. https://doi.org/10.1038/s41558-020-0814-0
7767. Snow cover over the Iberian mountains in km-scale global climate simulations: Evaluation and projected changes D. García-Maroto et al. https://doi.org/10.1016/j.ejrh.2026.103755
7768. Amplification of warming on the Tibetan Plateau C. Zhang et al. https://doi.org/10.1016/j.accre.2023.07.004
7769. When is an ensemble like a sample? “Model-based” inferences in climate modeling C. Dethier https://doi.org/10.1007/s11229-022-03477-5
7770. A SST-constructed Ocean Heat Content index in crossing ENSO spring persistence barrier X. Meng et al. https://doi.org/10.3389/fmars.2023.1248844
7771. Future Local Ground‐Level Ozone in the European Area From Statistical Downscaling Projections Considering Climate and Emission Changes E. Hertig et al. https://doi.org/10.1029/2022EF003317
7772. The Global Energy and Water Exchanges (GEWEX) Project in Central Asia: The Case for a Regional Hydroclimate Project M. Brody et al. https://doi.org/10.1007/s00376-023-3384-2
7773. A climate model projection weighting scheme accounting for performance and interdependence R. Knutti et al. https://doi.org/10.1002/2016GL072012
7774. A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. https://doi.org/10.1111/nph.20127
7775. Changing spatiotemporal dependence of the precipitation-temperature during Indian Summer Monsoon using observational and CMIP6 model simulations A. Chaudhary et al. https://doi.org/10.1016/j.ejrh.2024.102169
7776. Atlantic Meridional Overturning Circulation slowdown suppresses Atlantic Niño variability P. Freire-Souza et al. https://doi.org/10.1038/s41612-025-01222-6
7777. An observation-based evaluation and ranking of historical Earth system model simulations in the northwest North Atlantic Ocean A. Laurent et al. https://doi.org/10.5194/bg-18-1803-2021
7778. Prediction of soil organic carbon increase in the transition from shifting cultivation to agroforestry in the Indian East Himalayas A. Nath et al. https://doi.org/10.1002/eap.70286
7779. Earth system music: music generated from the United Kingdom Earth System Model (UKESM1) L. de Mora et al. https://doi.org/10.5194/gc-3-263-2020
7780. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. https://doi.org/10.5194/gmd-9-3461-2016
7781. Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation K. Strommen et al. https://doi.org/10.5194/wcd-3-951-2022
7782. Global Marine Heatwaves and Cold‐Spells in Present Climate to Future Projections Y. Yao et al. https://doi.org/10.1029/2022EF002787
7783. Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble F. Ge et al. https://doi.org/10.1088/1748-9326/abd7ad
7784. Long-range transport of coarse mineral dust: an evaluation of the Met Office Unified Model against aircraft observations N. Ratcliffe et al. https://doi.org/10.5194/acp-24-12161-2024
7785. Water resources projection using CMIP6 global climate models and water balance uncertainty F. Daliri & V. Singh https://doi.org/10.1186/s40068-025-00449-9
7786. Identification of optimal CMIP6 GCMs for future typical meteorological year in major cities of Indonesia using multi-criteria decision analysis V. Bhanage et al. https://doi.org/10.3389/fenvs.2024.1341807
7787. Isotopic content in high mountain karst aquifers as a proxy for climate change impact in Mediterranean zones: The Port del Comte karst aquifer (SE Pyrenees, Catalonia, Spain) J. Jódar et al. https://doi.org/10.1016/j.scitotenv.2021.148036
7788. A framework for detection and attribution of regional precipitation change: Application to the United States historical record M. Risser et al. https://doi.org/10.1007/s00382-022-06321-1
7789. The Indonesian Throughflow circulation under solar geoengineering C. Shen et al. https://doi.org/10.5194/esd-14-1317-2023
7790. On the dependency of GCM-based regional surface climate change projections on model biases, resolution and climate sensitivity F. Giorgi & F. Raffaele https://doi.org/10.1007/s00382-021-06037-8
7791. Justifying the application of deep learning on detecting weather fronts for coarse-scale General Circulation Models Y. Mao & T. Yamada https://doi.org/10.3178/hrl.24-00036
7792. Moist heatwaves intensified by entrainment of dry air that limits deep convection S. Duan et al. https://doi.org/10.1038/s41561-024-01498-y
7793. Global surface air temperatures in CMIP6: historical performance and future changes X. Fan et al. https://doi.org/10.1088/1748-9326/abb051
7794. Redistribution of the percentage of tropical cyclone energy in the globe Q. Wang & Z. Tan https://doi.org/10.1007/s00382-024-07458-x
7795. Southern South China Sea Dynamics: Sea Level Change from Coupled Model Intercomparison Project Phase 6 (CMIP6) in the 21st Century N. Azran et al. https://doi.org/10.3390/jmse11020458
7796. Overheating analysis of optimized nearly Zero-Energy dwelling during current and future heatwaves coincided with cooling system outage R. Rahif et al. https://doi.org/10.1016/j.enbuild.2023.112998
7797. Evaluation of events of extreme temperature change between neighboring days in CMIP6 models over China S. Song & X. Yan https://doi.org/10.1007/s00704-022-04142-0
7798. Shifting potential for high-resolution climate reconstructions under global warming J. Jevšenak et al. https://doi.org/10.1016/j.quascirev.2023.108486
7799. Decadal Prediction of Marine Heatwaves in MPI‐ESM L. Hövel et al. https://doi.org/10.1029/2022GL099347
7800. Recent south-central Andes water crisis driven by Antarctic amplification is unprecedented over the last eight centuries S. Wang et al. https://doi.org/10.1038/s43247-025-02858-1
7801. Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface J. Tian et al. https://doi.org/10.1080/17538947.2021.1937352
7802. Record-breaking emergence of upstream-downstream zonal-consistent variation in the Eurasian jet axis L. Lin et al. https://doi.org/10.1038/s41467-026-68772-y
7803. Characteristics and Mechanisms of the Dipole Precipitation Pattern in “Westerlies Asia” over the Past Millennium Based on PMIP4 Simulation S. Ma et al. https://doi.org/10.3390/atmos16121315
7804. Tracing human influence on rising surface air temperature in Venezuela B. Swain et al. https://doi.org/10.1038/s41598-024-79671-x
7805. Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh M. Hossain et al. https://doi.org/10.1002/sae2.70116
7806. Annual and seasonal mean tropical and subtropical precipitation bias in CMIP5 and CMIP6 models J. Li et al. https://doi.org/10.1088/1748-9326/abc7dd
7807. Spring phenology projections for apples in southwestern Germany indicate persistent frost risk levels L. Caspersen et al. https://doi.org/10.1016/j.agrformet.2025.110824
7808. Counterbalancing influences of aerosols and greenhouse gases on atmospheric rivers S. Baek & J. Lora https://doi.org/10.1038/s41558-021-01166-8
7809. Ocean heat uptake prevents polar climate reversibility in HadGEM3-GC3.1-LL climate model J. Ridley et al. https://doi.org/10.1007/s10584-026-04236-y
7810. Irrigation variability and climate change affect derived distributions of simulated water recharge and nitrate leaching T. Green & S. Anapalli https://doi.org/10.1080/02508060.2018.1515568
7811. Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity M. Rugenstein & K. Armour https://doi.org/10.1029/2021GL092983
7812. Radiocarbon in the Land and Ocean Components of the Community Earth System Model T. Frischknecht et al. https://doi.org/10.1029/2021GB007042
7813. Optimizing the Land Use and Land Cover Pattern to Increase Its Contribution to Carbon Neutrality K. Wang et al. https://doi.org/10.3390/rs14194751
7814. Storylines of extreme summer temperatures in southern South America S. Suli et al. https://doi.org/10.5194/wcd-7-149-2026
7815. The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. https://doi.org/10.5194/acp-24-6555-2024
7816. Arctic Sea Ice Growth in Response to Synoptic- and Large-Scale Atmospheric Forcing from CMIP5 Models L. Cai et al. https://doi.org/10.1175/JCLI-D-19-0326.1
7817. Current bioclimatic suitability and climate change impacts on the risk of cacao moniliasis invasion in Pará V. Moura et al. https://doi.org/10.1016/j.ecolmodel.2025.111106
7818. The impact of rocket-emitted chlorine on stratospheric ozone Y. Li et al. https://doi.org/10.5194/acp-26-3621-2026
7819. Impacts of the PMIP4 ice sheets on Northern Hemisphere climate during the last glacial period K. Izumi et al. https://doi.org/10.1007/s00382-022-06456-1
7820. Three-Phase Transition in China’s Future Air Quality under Ambitious Mitigation Pathways Revealed by Large-Ensemble AI Projections F. Wan et al. https://doi.org/10.1021/acs.est.6c04494
7821. Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA D. Ualiyeva et al. https://doi.org/10.3390/ani14020209
7822. Ecological network resilience - Updating projections of ecological networks under optimistic and pessimistic scenarios of biodiversity loss E. Kusch & A. Ordonez https://doi.org/10.1016/j.ecocom.2026.101176
7823. Exploring Spatio-Temporal Dynamics of Future Extreme Precipitation, Runoff, and Flood Risk in the Hanjiang River Basin, China D. Wang et al. https://doi.org/10.3390/rs16213980
7824. Influence of the Southern Ocean Dipole on the inter-model diversity of temporal trend of the austral summer Southern Annular Mode in CMIP6 models R. Wang et al. https://doi.org/10.1007/s00382-024-07263-6
7825. Analysis of the distribution of Astragalus membranaceus var. mongholicus in Inner Mongolia under climate change using the GEE platform J. Guo et al. https://doi.org/10.1097/st9.0000000000000045
7826. Changes in concurrent precipitation and temperature extremes over the Asian monsoon region: observation and projection L. Xu et al. https://doi.org/10.1088/1748-9326/acbfd0
7827. A protocol for model intercomparison of impacts of marine cloud brightening climate intervention P. Rasch et al. https://doi.org/10.5194/gmd-17-7963-2024
7828. Potential Weakening of the June 2012 North American Derecho Under Future Warming Conditions J. Li et al. https://doi.org/10.1029/2022JD037494
7829. Multi-country pine species allocation under different climate scenarios R. Cavalheiro et al. https://doi.org/10.1016/j.ecolmodel.2025.111330
7830. CMIP6 Simulations of Compound Hot Days and Nights over Interior Peninsular Region of India A. Sabarinath et al. https://doi.org/10.1007/s11069-025-07355-4
7831. NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery B. Mu et al. https://doi.org/10.3390/atmos14050792
7832. Sea surface temperature driven modulation of decadal co-variability in mean and extreme precipitation M. Adamu et al. https://doi.org/10.1088/1748-9326/ad2ab9
7833. Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble V. Capistrano et al. https://doi.org/10.5194/gmd-13-2277-2020
7834. North Atlantic Cooling is Slowing Down Mass Loss of Icelandic Glaciers B. Noël et al. https://doi.org/10.1029/2021GL095697
7835. The influence of humid heat on morbidity of megacity Shanghai in China C. Liang et al. https://doi.org/10.1016/j.envint.2024.108424
7836. Changes in Moisture Supply in the Steppe Zone of the Southern Part of Western Siberia for the Period 1980–2050 According to Scenario Forecasts Based on Global CMIP6 Models E. Mordvin et al. https://doi.org/10.1134/S2079096124700203
7837. Projected land ice contributions to twenty-first-century sea level rise T. Edwards et al. https://doi.org/10.1038/s41586-021-03302-y
7838. Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration I. Kriest et al. https://doi.org/10.5194/bg-20-2645-2023
7839. Attributing European runoff changes to climatic drivers under future conditions I. Clemenzi et al. https://doi.org/10.1016/j.jhydrol.2025.134794
7840. Impacts of current and climate induced changes in atmospheric stagnation on Indian surface PM2.5 pollution M. Zhou et al. https://doi.org/10.1038/s41467-024-51462-y
7841. How Significant is Projected Drought Risk in Pakistan Under a Warmer Climate? I. Ullah et al. https://doi.org/10.1007/s41748-024-00560-4
7842. Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model O. Boucher et al. https://doi.org/10.1029/2019MS002010
7843. Revisiting the future changes in precipitation extremes over the Eastern Tibetan Plateau: from the thermodynamic–dynamic processes to model uncertainty K. Wang et al. https://doi.org/10.1007/s00382-025-07620-z
7844. Ocean Barotropic Vorticity Balances: Theory and Application to Numerical Models R. Waldman & H. Giordani https://doi.org/10.1029/2022MS003276
7845. A Framework for Actual Evapotranspiration Assessment and Projection Based on Meteorological, Vegetation and Hydrological Remote Sensing Products Y. Liu et al. https://doi.org/10.3390/rs13183643
7846. Human Activities Enhance Radiation Forcing through Surface Albedo Associated with Vegetation in Beijing X. Tang et al. https://doi.org/10.3390/rs12050837
7847. Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges T. Howard & S. Williams https://doi.org/10.5194/nhess-21-3693-2021
7848. Numerical impacts on tracer transport: A proposed intercomparison test of Atmospheric General Circulation Models A. Gupta et al. https://doi.org/10.1002/qj.3881
7849. Rapid attribution of the record-breaking heatwave event in North China in June 2023 and future risks C. Qian et al. https://doi.org/10.1088/1748-9326/ad0dd9
7850. Evaluation of CMIP6 AMIP climate simulations with the ACCESS-AM2 model R. Bodman et al. https://doi.org/10.1071/ES19033
7851. Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles O. El Alaoui & A. Idri https://doi.org/10.1016/j.ecoinf.2023.102084
7852. Limited impact of Greenland meltwater on abruptness and reversibility of future Atlantic overturning changes O. Mehling et al. https://doi.org/10.1126/sciadv.aed2633
7853. Unravelling Changes in Precipitation Extremes over India using CMIP6 Simulations under the High-Emission SSP5-8.5 Scenario A. Kumari et al. https://doi.org/10.1007/s00024-026-04097-7
7854. Surface air temperature changes over the Tibetan Plateau: Historical evaluation and future projection based on CMIP6 models R. Chen et al. https://doi.org/10.1016/j.gsf.2022.101452
7855. Soil Moisture–Drought Nexus across Brazil: Identifying Current Issues and Future Perspectives L. Bertotto et al. https://doi.org/10.1061/JWRMD5.WRENG-6575
7856. Evaluation of Global Climate Models (GCMs) in Representing Climate Phenomena Signatures Over Maritime Continent F. Marsitha et al. https://doi.org/10.1088/1755-1315/1105/1/012014
7857. Input quality, not statistical complexity, determines climate-adapted weather file fidelity: A causal decomposition of degree-day errors H. Guo & K. He https://doi.org/10.1016/j.energy.2026.140867
7858. Stronger Arctic amplification from anthropogenic aerosols than from greenhouse gases Y. Wu et al. https://doi.org/10.1038/s41612-024-00696-0
7859. Climate intervention using marine cloud brightening (MCB) compared with stratospheric aerosol injection (SAI) in the UKESM1 climate model J. Haywood et al. https://doi.org/10.5194/acp-23-15305-2023
7860. QBO Changes in CMIP6 Climate Projections N. Butchart et al. https://doi.org/10.1029/2019GL086903
7861. Organ-specific rest and quiescence in response to chilling and forcing in subtropical Torreya grandis trees R. Zhang et al. https://doi.org/10.1016/j.agrformet.2024.109968
7862. Stratospheric aerosol forcing for CMIP7 – Part 1: optical properties for pre-industrial, historical, and scenario simulations T. Aubry et al. https://doi.org/10.5194/gmd-19-3725-2026
7863. Forecasting Future Vegetation Dynamics under SSP/RCP Pathways under Spatially Changing Climate and Human Activities Conditions W. Yang et al. https://doi.org/10.3390/su16146188
7864. Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios C. Müller et al. https://doi.org/10.1088/1748-9326/abd8fc
7865. Refinement of the environmental and chronological context of the archeological site El Harhoura 2 (Rabat, Morocco) using paleoclimatic simulations L. Terray et al. https://doi.org/10.5194/cp-19-1245-2023
7866. Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective C. Melo-Aguilar et al. https://doi.org/10.5194/cp-16-453-2020
7867. Polar amplification comparison among Earth’s three poles under different socioeconomic scenarios from CMIP6 surface air temperature A. Xie et al. https://doi.org/10.1038/s41598-022-21060-3
7868. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. https://doi.org/10.1029/2020GL090849
7869. Forecasting the potential distribution and niche of two similar gastropod species in South America: the intermediate host of schistosomiasis Biomphalaria glabrata and the invasive Melanoides tuberculata L. Ribas et al. https://doi.org/10.1007/s10750-024-05647-7
7870. Exploring the Origin of the Two-Week Predictability Limit: A Revisit of Lorenz’s Predictability Studies in the 1960s B. Shen et al. https://doi.org/10.3390/atmos15070837
7871. Analyzing meteorological drought under historical and future climate scenarios in East Bale zone, South-eastern Ethiopia M. Deresu et al. https://doi.org/10.1007/s42452-025-07336-z
7872. Reviews and syntheses: The role of process-based modeling of the CO2 : CH4 production ratio in predicting future terrestrial Arctic methane emissions M. Moser et al. https://doi.org/10.5194/bg-23-605-2026
7873. Mechanisms and Impacts of Earth System Tipping Elements S. Wang et al. https://doi.org/10.1029/2021RG000757
7874. The Escalating Threat of Heatwaves in Central Asia: Climate Change Impacts and Public Health Risks P. Broomandi et al. https://doi.org/10.1002/gch2.202500401
7875. Future Indian Ocean warming patterns S. Sharma et al. https://doi.org/10.1038/s41467-023-37435-7
7876. Predicting net primary productivity response to multiple extreme climate drivers in Inner Mongolia R. Su et al. https://doi.org/10.1088/1748-9326/ae2d78
7877. Evaluation of CMIP5 and CMIP6 climate projections portrayed in the water balance components of a tropical humid region N. Chandu & T. Eldho https://doi.org/10.1080/15715124.2026.2689431
7878. Winter chill requirements shape stone fruit tree performance across species and cultivars under contrasting Mediterranean climates E. Fadón et al. https://doi.org/10.1016/j.jxh.2026.100020
7879. Regional ensemble of CMIP6 global climate models for Sakha (Yakutia) Republic, Northern Eurasia N. Tananaev https://doi.org/10.1016/j.polar.2024.101066
7880. Mid-latitude clouds contribute to Arctic amplification via interactions with other climate feedbacks D. Bonan et al. https://doi.org/10.1088/2752-5295/ada84b
7881. Evaluation of precipitation in CMIP6 over the Yangtze River Basin Y. Li et al. https://doi.org/10.1016/j.atmosres.2020.105406
7882. Unraveling volcanic cooling in semi-arid climates: model–observation gaps and multi-eruption impacts over Iran G. Roshan et al. https://doi.org/10.1007/s11069-026-08282-8
7883. Emerging heat stress patterns across India under future climate scenarios M. Molina et al. https://doi.org/10.1038/s41598-026-36299-3
7884. Modeling Habitat Suitability for Endemic Anthemis pedunculata subsp. pedunculata and Anthemis pedunculata subsp. atlantica in Mediterranean Region Using MaxEnt and GIS-Based Analysis K. Mechergui et al. https://doi.org/10.3390/d17120851
7885. Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback A. Delhasse et al. https://doi.org/10.5194/tc-18-633-2024
7886. Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. https://doi.org/10.1029/2021EF002252
7887. Climate-resilient energy systems planning via system-informed identification of stressful events F. De Marco et al. https://doi.org/10.1016/j.adapen.2025.100235
7888. Warmer western tropical South Atlantic during the Last Interglacial relative to the current interglacial period R. Nascimento et al. https://doi.org/10.1016/j.gloplacha.2022.103889
7889. Seasonal CO2 amplitude in northern high latitudes Z. Liu et al. https://doi.org/10.1038/s43017-024-00600-7
7890. Regional temperature extremes and vulnerability under net zero CO2 emissions L. Cassidy et al. https://doi.org/10.1088/1748-9326/ad114a
7891. Enhancing drought projection reliability: a framework for optimal GCM selection, aggregation, and trend analysis under shared socioeconomic pathways M. Shakeel et al. https://doi.org/10.1007/s00704-025-05443-w
7892. Antarctic Sea Ice Projections Constrained by Historical Ice Cover and Future Global Temperature Change C. Holmes et al. https://doi.org/10.1029/2021GL097413
7893. Sub-seasonal to decadal predictions in support of climate services M. Osman et al. https://doi.org/10.1016/j.cliser.2023.100397
7894. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. https://doi.org/10.1016/j.gsf.2021.101325
7895. Using personas as means to bridge user needs and climate service design: insights from the Austrian climate scenario evaluation R. Berg et al. https://doi.org/10.1016/j.cliser.2026.100722
7896. Projection of Flash Droughts in the Headstream Area of Tarim River Basin Under Climate Change Through Bayesian Uncertainty Analysis X. Yu et al. https://doi.org/10.1029/2022JD037634
7897. ExoPlaSim: Extending the Planet Simulator for exoplanets A. Paradise et al. https://doi.org/10.1093/mnras/stac172
7898. Assessing future flood risks to cropland under climate change in the Second Songhua River Basin, China: A depth-duration framework for adaptive management Y. Zheng et al. https://doi.org/10.1016/j.ejrh.2026.103765
7899. Global Land Monsoon Precipitation Changes in CMIP6 Projections Z. Chen et al. https://doi.org/10.1029/2019GL086902
7900. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
7901. Snow Depth Trends from CMIP6 Models Conflict with Observational Evidence X. Zhong et al. https://doi.org/10.1175/JCLI-D-21-0177.1
7902. The Irish Atlantic CoCliME case study configuration, validation and application of a downscaled ROMS ocean climate model off SW Ireland H. Nagy et al. https://doi.org/10.1016/j.hal.2021.102053
7903. Understanding the Inter-Model Spread of PDO’s Impact on Tropical Cyclone Frequency over the Western North Pacific in CMIP6 Models J. Feng et al. https://doi.org/10.3390/atmos15030276
7904. Assessment of CMIP6 in Simulating Multiyear El Niño and the Associated Spring Precipitation over Southern China X. Zhang et al. https://doi.org/10.34133/olar.0126
7905. Exploring the Tropical Pacific Manifold in Models and Observations F. Falasca & A. Bracco https://doi.org/10.1103/PhysRevX.12.021054
7906. Arbitrary-scale atmospheric downscaling with mixture of implicit neural networks trained on fixed-scale data T. Chen et al. https://doi.org/10.1016/j.patcog.2025.112802
7907. Reduced surface hoar in a warming world W. Rudisill et al. https://doi.org/10.5194/tc-20-5585-2026
7908. Escalating thermal extremes and climate risk in a Brazilian semi-arid region: insights from ETCCDI indices and CMIP6 model projections D. dos Santos https://doi.org/10.1007/s11069-025-07814-y
7909. Greater Climate Sensitivity and Variability on TRAPPIST-1e than Earth A. Hochman et al. https://doi.org/10.3847/1538-4357/ac866f
7910. EXSoDOS 1.0: downscaling of weather extremes shifts for ensemble climate projections using ground-based measurements, reanalysis and stochastic modelling H. Wouters et al. https://doi.org/10.5194/gmd-19-5805-2026
7911. Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom E. Robinson et al. https://doi.org/10.5194/essd-15-4433-2023
7912. Atlantic origin of the increasing Asian westerly jet interannual variability L. Lin et al. https://doi.org/10.1038/s41467-024-46543-x
7913. Learning to Correct Climate Projection Biases B. Pan et al. https://doi.org/10.1029/2021MS002509
7914. Data-driven spatiotemporal projections of shallow permafrost based on CMIP6 across the Qinghai‒Tibet Plateau at 1 km2 scale G. Yin et al. https://doi.org/10.1016/j.accre.2021.08.009
7915. 基于机器学习的气候模式次网格参数化方案研究 超. 严 & 世. 苗 https://doi.org/10.1360/SSTe-2024-0241
7916. Trans-basin linkages prolong Northwestern Pacific marine heatwaves through a circumglobal wave pattern Y. Zhao & J. Yu https://doi.org/10.1126/sciadv.adz4647
7917. Drivers of persistent changes in the global methane cycle under aggressive mitigation action G. Folberth et al. https://doi.org/10.1038/s41612-024-00867-z
7918. Asian summer monsoon responses to the change of land‒sea thermodynamic contrast in a warming climate: CMIP6 projections Q. Wu et al. https://doi.org/10.1016/j.accre.2022.01.001
7919. Projecting dryland vegetation responses to future climate using vegetation–climate relationships derived from historical periods with and without conservation management X. Zhang et al. https://doi.org/10.1088/2515-7620/ae9a34
7920. Land-use induced changes in extreme temperature predominantly influenced by downward longwave radiation M. Zhang et al. https://doi.org/10.1038/s43247-024-01936-0
7921. Rapid attribution prototype for extreme high temperature events in China Y. Sun et al. https://doi.org/10.1016/j.accre.2025.06.004
7922. Evaluation of the CMIP6 planetary albedo climatology using satellite observations B. Jian et al. https://doi.org/10.1007/s00382-020-05277-4
7923. Projected changes in wind speed and wind energy resources over the Persian Gulf based on bias corrected CMIP6 models A. Gohari & A. Akpınar https://doi.org/10.1016/j.dynatmoce.2025.101539
7924. Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme J. Shin & J. Baik https://doi.org/10.1029/2022MS003578
7925. Widespread temporal and spatial variability in net ecosystem productivity under climate change H. Huang et al. https://doi.org/10.1016/j.oneear.2024.01.008
7926. From Concept to Practice: Implementing a Knowledge-Driven Decision Support Platform for Sustainable Viticulture in Montenegro T. Racković et al. https://doi.org/10.3390/s26092843
7927. Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6 M. Menary et al. https://doi.org/10.1029/2018MS001495
7928. Atmospheric regional climate projections for the Baltic Sea region until 2100 O. Christensen et al. https://doi.org/10.5194/esd-13-133-2022
7929. Local and seasonal climate change and its influence on the hydrological cycle in a mountainous forested catchment L. Strohmenger et al. https://doi.org/10.1016/j.jhydrol.2022.127914
7930. Spatiotemporal characteristics of the time of emergence for anthropogenic tropospheric temperature changes based on the CMIP6 multi-model results S. Zhang et al. https://doi.org/10.1088/1748-9326/ad34e6
7931. Dust Aerosol Radiative Effects During a Dust Event and Heatwave in Summer 2019 Simulated with a Regional Climate Atmospheric Model over the Iberian Peninsula C. Gil-Díaz et al. https://doi.org/10.3390/rs17111817
7932. Committed Global Warming Risks Triggering Multiple Climate Tipping Points J. Abrams et al. https://doi.org/10.1029/2022EF003250
7933. Shifting dominant periods in extreme climate impacts under global warming K. Zantout et al. https://doi.org/10.1038/s41467-025-65600-7
7934. CMIP6 model ranking and machine learning–assisted ensemble evaluation using a multi-variable integrated MCDM–GDM framework M. Narahari et al. https://doi.org/10.2166/wcc.2026.131
7935. Historical diurnal temperature range trends constrain future climate projections A. Liu et al. https://doi.org/10.1038/s43247-026-03185-9
7936. The trend and interannual variability in the global terrestrial evapotranspiration are respectively dominated by humid regions and drylands H. Chen et al. https://doi.org/10.1016/j.jhydrol.2025.134879
7937. Relative Importance of Large‐Scale Environmental Variables to the World‐Wide Variability of Thunderstorms N. Liu et al. https://doi.org/10.1029/2021JD036065
7938. Projected river water temperatures in Poland under climate change scenarios W. Dong et al. https://doi.org/10.1016/j.ejrh.2025.102368
7939. Quantification of the surface and groundwater dynamics of Upper Godavari Sub-Basin using SWAT-MODFLOW and CMIP6 climate change scenarios S. Choudhary et al. https://doi.org/10.1080/02626667.2025.2492891
7940. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
7941. The impact of carbon dioxide removal on temperature parameters over West Africa E. Uzoma et al. https://doi.org/10.1007/s00703-023-00992-z
7942. Weak persistence of Northwest Pacific anomalous anticyclone during post-El Niño summers in CMIP5 and CMIP6 models H. Tang et al. https://doi.org/10.1007/s00382-023-06772-0
7943. Data-driven techniques in rainfall forecasting using CMIP6 simulation outputs and ground-observed data V. Dubey & V. Vidyarthi https://doi.org/10.1007/s11600-025-01626-1
7944. Nitrogen limitation amplifies future warming by weakening terrestrial carbon cycle feedbacks and sink capacity G. Tang et al. https://doi.org/10.1038/s43247-026-03736-0
7945. California’s 2023 snow deluge: Contextualizing an extreme snow year against future climate change A. Marshall et al. https://doi.org/10.1073/pnas.2320600121
7946. Projected near-term changes of temperature extremes in Europe and China under different aerosol emissions F. Luo et al. https://doi.org/10.1088/1748-9326/ab6b34
7947. Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios A. Gädeke et al. https://doi.org/10.1088/1748-9326/ac8ca1
7948. Interannual Variability of Extreme Precipitation during the Boreal Summer over Northwest China Q. Ma et al. https://doi.org/10.3390/rs15030785
7949. Compound climate risks threaten aquatic food system benefits M. Tigchelaar et al. https://doi.org/10.1038/s43016-021-00368-9
7950. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. https://doi.org/10.1007/s00382-023-06696-9
7951. Meteorological drivers of the low-cloud radiative feedback pattern effect and its uncertainty R. Tam et al. https://doi.org/10.5194/acp-26-4289-2026
7952. Near-term regional climate change in East Africa Y. Choi et al. https://doi.org/10.1007/s00382-022-06591-9
7953. Three-dimensional-based global drought projection under global warming tendency Y. Ji et al. https://doi.org/10.1016/j.atmosres.2023.106812
7954. On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport https://doi.org/10.1088/1748-9326/ac2f1a
7955. Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff P. Wiersma et al. https://doi.org/10.5194/hess-26-5971-2022
7956. Identifying conservation priority areas for North American bumble bee species in Canada under current and future climate scenarios A. Liczner et al. https://doi.org/10.1111/csp2.12994
7957. Evaluation of CMIP6 models in reproducing observed rainfall over Ethiopia D. Berhanu et al. https://doi.org/10.2166/wcc.2023.502
7958. Projected changes in rare extreme precipitation design values in the United States due to global warming K. Kunkel et al. https://doi.org/10.1007/s11707-024-1142-x
7959. Predicting future tropical theileriosis risk in China using tick distribution and climate models T. Zhang et al. https://doi.org/10.1016/j.prevetmed.2025.106652
7960. Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al. https://doi.org/10.1038/s41612-024-00841-9
7961. Near‐surface wind variability in Prydz Bay and Amery Ice Shelf region, East Antarctica: A four‐decade SOM analysis L. Yu et al. https://doi.org/10.1002/joc.8624
7962. Shifting Agroclimatic Regimes: CMIP6 Ensemble Insights Into Phenology-Specific Climate Variability in the Indus Basin F. Ilyas et al. https://doi.org/10.1007/s41748-026-01095-6
7963. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. https://doi.org/10.5194/acp-21-87-2021
7964. Estimates of natural methane emissions into the atmosphere in the regions of Western Siberia by model simulations M. Arzhanov et al. https://doi.org/10.1088/1755-1315/1040/1/012017
7965. Atmospheric river representation in the Energy Exascale Earth System Model (E3SM) version 1.0 S. Kim et al. https://doi.org/10.5194/gmd-15-5461-2022
7966. Increased moisture stress and weakened resilience to aridity limit global greening R. Kashyap & J. Kuttippurath https://doi.org/10.1016/j.scitotenv.2026.181416
7967. Recent impact of reduced arctic sea-ice on the winter North Atlantic jet stream and its quantitative contributions compared to pre-industrial level J. Jiang et al. https://doi.org/10.1016/j.atmosres.2024.107778
7968. Divergent response of aridity index to historical land use and land cover change T. Tang et al. https://doi.org/10.1038/s41612-025-00978-1
7969. Management strategies for the genetic resources of Neltuma alba under climate change and anthropogenic pressures R. Orquera et al. https://doi.org/10.1007/s11056-026-10168-3
7970. The chromosome-level genome assembly of an endangered herbBergenia scopulosaprovides insights into local adaptation and genomic vulnerability under climate change Y. Yang et al. https://doi.org/10.1093/gigascience/giae091
7971. Do climate models agree on seasonal rainfall patterns and future changes over Southern Africa? A. Kennedy-Asser et al. https://doi.org/10.1007/s10584-025-04073-5
7972. Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model H. Schmidt et al. https://doi.org/10.5194/gmd-17-1563-2024
7973. Exacerbating landslide risks under future climate change and land use scenarios: evidence from the Western Himalayas in Pakistan A. Rehman et al. https://doi.org/10.1080/19475705.2025.2577170
7974. Clean air policies are key for successfully mitigating Arctic warming K. von Salzen et al. https://doi.org/10.1038/s43247-022-00555-x
7975. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun https://doi.org/10.1029/2023GL103515
7976. Explainable deep learning for predicting lake expansion in the Siling Co Endorheic basin: Unraveling driver shifts and hydro-climatic tipping points X. Jing et al. https://doi.org/10.1016/j.ejrh.2026.103719
7977. Low-level circulation over Central Equatorial Africa as simulated from CMIP5 to CMIP6 models T. Taguela et al. https://doi.org/10.1007/s00382-022-06411-0
7978. Uncertainties in measuring precipitation hinders precise evaluation of loss of diversity in biomes and ecotones A. Navarro et al. https://doi.org/10.1038/s41612-024-00581-w
7979. Projecting marine species range shifts from only temperature can mask climate vulnerability J. McHenry et al. https://doi.org/10.1111/gcb.14828
7980. Orsillus depressus (Heteroptera: Lygaeidae), an invasive circum-mediterranean species recently reported from America. Are the endemic and already endangered Cupressaceae trees from the Andean Region facing a new challenge? E. Minghetti et al. https://doi.org/10.1007/s10530-024-03313-6
7981. The Antarctic contribution to 21st-century sea-level rise predicted by the UK Earth System Model with an interactive ice sheet A. Siahaan et al. https://doi.org/10.5194/tc-16-4053-2022
7982. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100) Z. Xu et al. https://doi.org/10.1038/s41597-021-01079-3
7983. Assessing climate models to forecast future climate and agricultural water demand in the Indravati River Basin A. Yadav & R. Singh https://doi.org/10.1007/s40808-025-02347-6
7984. AI-Based Anomaly Detection for Extreme Event Attribution: An Analysis of European Heatwaves P. Zaninelli et al. https://doi.org/10.1007/s41748-026-01122-6
7985. Net primary production annual maxima in the North Atlantic projected to shift in the 21st century J. Hieronymus et al. https://doi.org/10.5194/bg-21-2189-2024
7986. Socioeconomic exposure to drought under climate warming and globalization: The importance of vegetation‐CO2 feedback T. Wang & F. Sun https://doi.org/10.1002/joc.8174
7987. Anthropogenic influence on the extreme drought in eastern China in 2022 and its future risk Y. Zhang et al. https://doi.org/10.1016/j.aosl.2023.100390
7988. The TIPMIP Earth system model experiment protocol: phase 1 C. Jones et al. https://doi.org/10.5194/gmd-19-6941-2026
7989. Future humidex extremes over North America: projections and uncertainties from the CanESM5 large ensemble B. Yu et al. https://doi.org/10.1007/s00382-026-08158-4
7990. Anthropogenically-driven escalating impact of soil-based compound dry-hot extremes on vegetation productivity Y. Liang et al. https://doi.org/10.1038/s41467-026-68878-3
7991. Storm surge changes around the UK under a weakened Atlantic meridional overturning circulation T. Howard et al. https://doi.org/10.1088/2515-7620/ad3368
7992. Topographic and climatic controls of peatland distribution on the Tibetan Plateau J. Sun et al. https://doi.org/10.1038/s41598-023-39699-x
7993. Influence of the El Niño–Southern Oscillation on entry stratospheric water vapor in coupled chemistry–ocean CCMI and CMIP6 models C. Garfinkel et al. https://doi.org/10.5194/acp-21-3725-2021
7994. Improvements in Circumpolar Southern Hemisphere Extratropical Atmospheric Circulation in CMIP6 Compared to CMIP5 T. Bracegirdle et al. https://doi.org/10.1029/2019EA001065
7995. Flood frequency and flood intensity changes in the post embankment period in the Kosi sub-basin India: Impact of location, caste, and class on the flood vulnerability of the marginal communities R. Sahani et al. https://doi.org/10.3389/frwa.2023.1017945
7996. Amazon drought amplifies SST warming in the North Tropical Atlantic W. Lou et al. https://doi.org/10.1007/s00382-024-07400-1
7997. METEORv1.6: Spatial climate variability and integrated impact emulation B. Sanderson et al. https://doi.org/10.5194/gmd-19-9263-2026
7998. Decadal co‐variation of the aerosols over East Asia and the East Asian jet streams in the boreal winter S. Hu et al. https://doi.org/10.1002/asl.1217
7999. The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations D. Notz et al. https://doi.org/10.5194/gmd-9-3427-2016
8000. Assessing climate change impacts on the WEF nexus: A case study of water availability, thermal energy production, and rice yield in the Kangsabati river basin K. Mondal et al. https://doi.org/10.1016/j.egycc.2025.100221
8001. Impacts of land use and climate change on runoff in the Shaying River Basin based on SWAT model J. Tao et al. https://doi.org/10.1007/s10201-023-00737-2
8002. Causal mechanisms of subpolar gyre variability in CMIP6 models S. Falkena et al. https://doi.org/10.5194/esd-16-1833-2025
8003. Projections of Extreme Precipitation Changes over the Eastern Tibetan Plateau: Exploring Thermodynamic and Dynamic Contributions X. Liu et al. https://doi.org/10.3390/atmos16060664
8004. Prediction of forest fire occurrence in China under climate change scenarios Y. Shao et al. https://doi.org/10.1007/s11676-023-01605-6
8005. Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models Z. Zhang et al. https://doi.org/10.5194/acp-19-1077-2019
8006. Strengthening atmospheric circulation and trade winds slowed tropical Pacific surface warming M. Latif et al. https://doi.org/10.1038/s43247-023-00912-4
8007. A global perspective on past and future change in regional seasonal cycle shape E. Holtanová et al. https://doi.org/10.5194/esd-17-181-2026
8008. Hadley circulation dynamics in the IITM-Earth System Model simulations: evaluation and future projections S. Mathew & K. Kumar https://doi.org/10.1007/s00704-023-04397-1
8009. Evaluating CMIP6 Global Climate Models Performances Over Nigeria: An Integrated Approach M. Shiru et al. https://doi.org/10.1002/joc.8739
8010. Bidirectional Extreme Response Analysis for a Synchronized-Period Evaluation of Multiple Precipitation Datasets C. Demir et al. https://doi.org/10.3390/su18157982
8011. Global prediction of gross primary productivity under future climate change Q. Lu et al. https://doi.org/10.1016/j.scitotenv.2023.169239
8012. Phylogeny, species delimitation, and biogeography of the arboreal land snail genus Amphidromus on Java Island, Sundaland E. Becher et al. https://doi.org/10.1016/j.ympev.2026.108623
8013. Learning from weather and climate science to prepare for a future pandemic S. Schemm et al. https://doi.org/10.1073/pnas.2209091120
8014. Comparative Study of Potential Habitats for Simulium qinghaiense (Diptera: Simuliidae) in the Huangshui River Basin, Qinghai–Tibet Plateau: An Analysis Using Four Ecological Niche Models and Optimized Approaches Y. Liu et al. https://doi.org/10.3390/insects15020081
8015. A copula-based multivariate flood frequency analysis under climate change effects M. Khajehali et al. https://doi.org/10.1038/s41598-024-84543-5
8016. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. https://doi.org/10.1016/j.cageo.2022.105072
8017. The Antarctic Peninsula under present day climate and future low, medium-high and very high emissions scenarios B. Davies et al. https://doi.org/10.3389/fenvs.2025.1730203
8018. The Time-Scale-Dependent Response of the Wintertime North Atlantic to Increased Ocean Model Resolution in a Coupled Forecast Model C. Roberts et al. https://doi.org/10.1175/JCLI-D-19-0235.1
8019. Interdecadal and interannual evolution characteristics of the global surface precipitation anomaly shown by CMIP5 and CMIP6 models Y. Zhu & S. Yang https://doi.org/10.1002/joc.6756
8020. Impact of volcanic eruptions on extratropical atmospheric circulations: review, revisit and future directions S. Paik et al. https://doi.org/10.1088/1748-9326/acd5e6
8021. Optimizing Configurations for the Regional Climate Model (RegCM5) Using a Micro-GA Approach: A Case Study over Vietnam T. Nguyen-Xuan et al. https://doi.org/10.2151/sola.2025-053
8022. Enhancing South Africa’s power grid management with AI: deep learning models for short-term forecasting of Eskom’s renewable generation under weather uncertainty G. Xelibokwe et al. https://doi.org/10.1007/s44379-026-00061-3
8023. Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. https://doi.org/10.1029/2021EF002499
8024. Global evaluation of simulated surface shortwave radiation in CMIP6 models J. He et al. https://doi.org/10.1016/j.atmosres.2023.106896
8025. Identifying climate extremes in Southern Africa through advanced bias correction of climate projections L. Trentini et al. https://doi.org/10.1007/s42865-025-00097-y
8026. Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model C. Franzke et al. https://doi.org/10.1088/1748-9326/ae2f73
8027. The atmospheric hinder for intraseasonal sea-air interaction over the Bay of Bengal during Indian summer monsoon in CMIP6 Z. Meng et al. https://doi.org/10.1007/s13131-022-2023-3
8028. Intraseasonal‐to‐seasonal evolution of soil moisture‐based droughts and floods in observation‐based datasets and Coupled Model Intercomparison Project Phase 6 models J. Wei et al. https://doi.org/10.1002/joc.7965
8029. Towards understanding the robust strengthening of ENSO and more frequent extreme El Niño events in CMIP6 global warming simulations U. Heede & A. Fedorov https://doi.org/10.1007/s00382-023-06856-x
8030. How does ecological protection redline policy affect regional land use and ecosystem services? X. Guo et al. https://doi.org/10.1016/j.eiar.2023.107062
8031. Evaluation of the climate models used by the IPCC based on the position of the ITCZ in the Equatorial South Atlantic S. Saad et al. https://doi.org/10.1002/joc.8440
8032. Relationship between July–August Tibetan Plateau westerly jet and precipitation over the Tibetan Plateau in CMIP6 models Y. Feng et al. https://doi.org/10.1016/j.atmosres.2026.109283
8033. Improving the Findability of Digital Objects in Climate Science by Adopting the FDO Concept M. Kulüke et al. https://doi.org/10.52825/ocp.v5i.1175
8034. Climate Sensitivity and Feedbacks of BCC-CSM to Idealized CO2 Forcing from CMIP5 to CMIP6 X. Shi et al. https://doi.org/10.1007/s13351-020-9204-9
8035. Aerosols heat up the Himalayan climate S. Ramachandran et al. https://doi.org/10.1016/j.scitotenv.2023.164733
8036. Multi-annual predictions of hot, dry and hot-dry compound extremes A. Aranyossy et al. https://doi.org/10.5194/esd-16-2225-2025
8037. Connecting physical and social science datasets: challenges and pathways forward S. Shah et al. https://doi.org/10.1088/2515-7620/acf6b4
8038. Predicting compound coastal inundation in 2100 by considering the joint probabilities of landfalling tropical cyclones and sea-level rise Y. Sheng et al. https://doi.org/10.1088/1748-9326/ac50d1
8039. Evaluation and projection of CMIP6 simulations of climate variables for the Rift Valley Lakes Basin, Ethiopia Y. Woldemariam et al. https://doi.org/10.1007/s00704-025-05356-8
8040. A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 Y. Li et al. https://doi.org/10.1017/jog.2021.28
8041. Potential of breadfruit cultivation to contribute to climate-resilient low latitude food systems L. Yang et al. https://doi.org/10.1371/journal.pclm.0000062
8042. BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098 A. Reichmuth et al. https://doi.org/10.1038/s41597-025-04507-w
8043. Assessing Earth system responses in mitigation scenarios with activity-driven simulation of carbon dioxide removal J. Schwinger et al. https://doi.org/10.5194/esd-17-1341-2026
8044. The Importance of Accounting for the North Atlantic Oscillation When Applying Observational Constraints to European Climate Projections A. Ballinger et al. https://doi.org/10.1029/2023GL103431
8045. Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon X. Xin et al. https://doi.org/10.1002/joc.6590
8046. A warming climate will make Australian soil a net emitter of atmospheric CO2 R. Viscarra Rossel et al. https://doi.org/10.1038/s41612-024-00619-z
8047. Emergent constraints on future change projections of mean and extreme temperature and precipitation in the global maize harvesting area H. Shiogama et al. https://doi.org/10.1088/1748-9326/ae3194
8048. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation C. Burgard et al. https://doi.org/10.5194/tc-14-2387-2020
8049. Contemporary Issues in Québec’s Temperate Forest — Part 4: Climate Change L. Duchesne et al. https://doi.org/10.5558/tfc2026-011
8050. Зміна клімату міста Львова: ретроспективна та перспективна характеристики І. Круглов et al. https://doi.org/10.30970/vgg.2024.57.13664
8051. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. https://doi.org/10.1029/2020EF001520
8052. A continuous decline of global seasonal wind speed range over land since 1980 L. Zhou et al. https://doi.org/10.1175/JCLI-D-21-0112.1
8053. A Moderate Mitigation Can Significantly Delay the Emergence of Compound Hot Extremes F. Ma et al. https://doi.org/10.1029/2021JD035427
8054. Skilful prediction of cod stocks in the North and Barents Sea a decade in advance V. Koul et al. https://doi.org/10.1038/s43247-021-00207-6
8055. The Iceberg Model of Change: A taxonomy differentiating approaches to change C. Mahringer et al. https://doi.org/10.1016/j.heliyon.2025.e41952
8056. Benchmarking Deep Learning Against Statistical Baselines and a Physical Climate-Model Comparator for Station-Scale Meteorological Forecasting: A 100-Station Study from the Western Balkans D. Nikolić et al. https://doi.org/10.3390/ai7090329
8057. Fast expansion and slow contraction of the ITCZ in response to CO 2 forcing J. Zhang & S. Kang https://doi.org/10.1126/sciadv.aef2833
8058. Global assessment of invasion risk: Ardisia elliptica, one of the most noxious tropical shrubs in the world P. Adhikari et al. https://doi.org/10.1186/s13717-025-00622-z
8059. Assessing Precipitation Over the Amazon Basin as Simulated by a Storm‐Resolving Model L. Paccini & B. Stevens https://doi.org/10.1029/2022JD037436
8060. Deciphering China's Complex Pattern of Summer Precipitation Trends M. Li et al. https://doi.org/10.1029/2022EF002797
8061. Projection Of Regional Climate Change For 2023–2064 In The Northern Part Of The Western Russian Arctic: A Support For Russian Railways A. Kostianoy et al. https://doi.org/10.24057/2071-9388-2025-4179
8062. A framework for creating sustainable rainwater harvesting and reuse strategies for urban landscape irrigation in a changing climate S. Li et al. https://doi.org/10.1016/j.jenvman.2025.126852
8063. Analysis of the Atmospheric Water Cycle for the Laurentian Great Lakes Region Using CMIP6 Models S. Minallah & A. Steiner https://doi.org/10.1175/JCLI-D-20-0751.1
8064. Role of atmospheric horizontal resolution in simulating tropical and subtropical South American precipitation in HadGEM3-GC31 P. Monerie et al. https://doi.org/10.5194/gmd-13-4749-2020
8065. Early-twentieth-century cold bias in ocean surface temperature observations S. Sippel et al. https://doi.org/10.1038/s41586-024-08230-1
8066. Uncovering the strengths and weaknesses of an ensemble of quantile mapping methods for downscaling precipitation change in Southern Africa S. Mendoza Paz & P. Willems https://doi.org/10.1016/j.ejrh.2022.101104
8067. Projection of future changes in the summer thermal stress index in Romania using statistical downscaling and associated uncertainties A. Busuioc et al. https://doi.org/10.3354/cr01689
8068. Abyssal ocean overturning slowdown and warming driven by Antarctic meltwater Q. Li et al. https://doi.org/10.1038/s41586-023-05762-w
8069. Coupled Model Intercomparison Project Phase 6 simulations of the spatial structure of rainfall variability over East Africa: Evaluation and projection D. Mbigi et al. https://doi.org/10.1002/joc.7868
8070. GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties S. Hartke et al. https://doi.org/10.1038/s41597-024-04205-z
8071. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
8072. Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms F. Di Nunno & F. Granata https://doi.org/10.1016/j.agwat.2023.108232
8073. Ensemble Species Distribution Modeling Reveals Stable High-Suitability Areas and Conservation Priorities for Stephania tetrandra in China Under CMIP6 Scenarios J. Wang et al. https://doi.org/10.3390/d18030179
8074. Pervasive Permafrost Thaw Exacerbates Future Risk of Water Shortage Across the Tibetan Plateau T. Wang et al. https://doi.org/10.1029/2022EF003463
8075. Carbon storage estimation in a secondary tropical forest at CIEE Sustainability Center, Monteverde, Costa Rica A. Paniagua-Ramirez et al. https://doi.org/10.1038/s41598-021-03004-5
8076. Enjeux contemporains en forêt tempérée au Québec — Partie 4 : Les changements climatiques L. Duchesne et al. https://doi.org/10.5558/tfc2026-012
8077. High-Resolution Downscaled CMIP6 Projections dataset of Key Climate Variables for Senegal A. Mbengue et al. https://doi.org/10.1038/s41597-026-07059-9
8078. A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean L. Zhang & Z. Xue https://doi.org/10.5194/bg-19-4589-2022
8079. Decreased northern hemisphere precipitation from consecutive CO2 doublings is associated with significant AMOC weakening X. Zhang et al. https://doi.org/10.1088/2752-5295/ad929c
8080. Increasing Socioeconomic Exposure to Compound Dry and Hot Events Under a Warming Climate in the Yangtze River Basin J. Zhang et al. https://doi.org/10.3390/su162411264
8081. Projected Climate‐Driven Changes of Water Table Depth in the World's Major Groundwater Basins M. Costantini et al. https://doi.org/10.1029/2022EF003068
8082. Carbon Cycle Dynamics: Sources, Sinks, and Fluxes in Changing Climates A. K https://doi.org/10.63090/IJPSRS/3139.8995.0004
8083. Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise K. Arjdal et al. https://doi.org/10.1002/asl.1180
8084. Predictive optimization of educational buildings' environmental performance under future climate scenarios using Catboost and SHAP Y. Hu et al. https://doi.org/10.1016/j.solener.2025.113746
8085. Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models A. Akinsanola et al. https://doi.org/10.1088/1748-9326/abed7a
8086. Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data X. Li et al. https://doi.org/10.1016/j.cliser.2024.100488
8087. Historical drivers and future streamflow variations of the Kura River in the Western Transcaucasia region of Georgia: Analysis of tree-ring chronologies from 1720 to 2021 CE Z. Bakhtiyorov et al. https://doi.org/10.1016/j.palaeo.2024.112529
8088. A saddle-node bifurcation may be causing the AMOC collapse in the Community Earth System Model R. van Westen et al. https://doi.org/10.5194/esd-16-2063-2025
8089. Simulation of the Northern and Southern Hemisphere Annular Modes by CAMS-CSM S. Nan et al. https://doi.org/10.1007/s13351-019-8099-9
8090. Examining the Ability of CMIP6 Models to Reproduce the Upwelling SST Imprint in the Eastern Boundary Upwelling Systems R. Varela et al. https://doi.org/10.3390/jmse10121970
8091. Diverging Fates of the Pacific Ocean Oxygen Minimum Zone and Its Core in a Warming World J. Busecke et al. https://doi.org/10.1029/2021AV000470
8092. Subsurface Cooling in the Tropical Pacific Under a Warming Climate W. Ju et al. https://doi.org/10.1029/2021JC018225
8093. The seasonal cycle of cloud radiative effects over Congo Basin based on CERES observation and comparison to CMIP6 models A. Dommo et al. https://doi.org/10.1016/j.atmosres.2023.106820
8094. Model structures amplify uncertainty in predicted soil carbon responses to climate change Z. Shi et al. https://doi.org/10.1038/s41467-018-04526-9
8095. An Overview of Interactions and Feedbacks Between Ice Sheets and the Earth System J. Fyke et al. https://doi.org/10.1029/2018RG000600
8096. Projections of central Arctic summer sea surface temperatures in CMIP6 J. Han et al. https://doi.org/10.1088/1748-9326/ad0c8a
8097. Critical role of low cloud feedback in irreversible sea level rise S. Wang et al. https://doi.org/10.1038/s41467-026-72898-4
8098. Mei‐yu Front Assessment in CMIP6 Earth System Models During the East Asian Summer Monsoon K. Ng et al. https://doi.org/10.1002/joc.8810
8099. Recent equatorward shift of the summer North Atlantic jet dominated by internal climate variability C. Sheng et al. https://doi.org/10.1126/sciadv.aee8136
8100. Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics F. Meunier et al. https://doi.org/10.5194/gmd-15-7573-2022
8101. Inequalities in Air Pollution Exposure and Attributable Mortality in a Low Carbon Future C. Reddington et al. https://doi.org/10.1029/2023EF003697
8102. Global and regional changes in working-age population exposure to heat extremes under climate change X. Chen et al. https://doi.org/10.1007/s11442-023-2157-z
8103. Detection and attribution of extreme precipitation events over the Asian monsoon region T. Dong et al. https://doi.org/10.1016/j.wace.2022.100497
8104. Projected changes in average and extreme precipitation under global warming in Vietnam T. Tran et al. https://doi.org/10.1007/s11069-025-07386-x
8105. Robust Evaluation of ENSO in Climate Models: How Many Ensemble Members Are Needed? J. Lee et al. https://doi.org/10.1029/2021GL095041
8106. Enhancing school buildings energy efficiency under climate change: A comprehensive analysis of energy, cost, and comfort factors T. Ashrafian https://doi.org/10.1016/j.jobe.2023.107969
8107. Impacts of Different Cumulus Schemes on the Pathways through which SST Provides Feedback to the Madden–Julian Oscillation J. Fu et al. https://doi.org/10.1175/JCLI-D-17-0432.1
8108. Interannual Covariation of the North American and African Summer Monsoons W. Luo et al. https://doi.org/10.1002/joc.8649
8109. Impact of stratospheric polar vortex variability on Antarctic sea ice in CMIP6 models B. Mezzina et al. https://doi.org/10.1007/s00382-025-07765-x
8110. Future changes in surface solar radiation over India: A bias-corrected and downscaled assessment of CMIP6 projections for renewable energy planning A. Jadhav & R. Bhawar https://doi.org/10.1016/j.egycc.2025.100213
8111. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. https://doi.org/10.1038/s43017-023-00456-3
8112. Towards operational predictions of the near-term climate Y. Kushnir et al. https://doi.org/10.1038/s41558-018-0359-7
8113. Detection and Attribution of Changes in Thermal Discomfort over China during 1961–2014 and Future Projections W. Li et al. https://doi.org/10.1007/s00376-021-1168-x
8114. Climates of Warm Earth-like Planets. II. Rotational “Goldilocks” Zones for Fractional Habitability and Silicate Weathering T. Jansen et al. https://doi.org/10.3847/1538-4357/ab113d
8115. Modulation of Arctic Sea Ice Loss by Atmospheric Teleconnections from Atlantic Multidecadal Variability F. Castruccio et al. https://doi.org/10.1175/JCLI-D-18-0307.1
8116. Summer heat sources changes over the Tibetan Plateau in CMIP6 models Z. Xie & B. Wang https://doi.org/10.1088/1748-9326/ac0279
8117. An assessment of the subduction rate in the CMIP6 historical experiment S. Liu et al. https://doi.org/10.1007/s13131-022-2108-z
8118. Spring snow-albedo feedback from satellite observation, reanalysis and model simulations over the Northern Hemisphere H. Guo & Y. Yang https://doi.org/10.1007/s11430-021-9913-1
8119. Emerging low-cloud feedback and adjustment in global satellite observations P. Ceppi et al. https://doi.org/10.5194/acp-26-4153-2026
8120. New classes of climate model emulators to improve paleoclimate reconstructions A. Gaudin & M. Khodri https://doi.org/10.5194/gmd-19-7135-2026
8121. Time-varying changes and uncertainties in the CMIP6 ocean carbon sink from global to local scale P. Gooya et al. https://doi.org/10.5194/esd-14-383-2023
8122. The understory microclimate in agroforestry now and in the future – a case study of Arabica coffee in its native range F. Zignol et al. https://doi.org/10.1016/j.agrformet.2023.109586
8123. The Pacific Equatorial Undercurrent in Three Generations of Global Climate Models and Glider Observations K. Karnauskas et al. https://doi.org/10.1029/2020JC016609
8124. Distributional Response of <i>Paeonia Decomposita</i> to Climate Change and Conservation Strategies M. Liu et al. https://doi.org/10.15244/pjoes/188894
8125. Future CH4 as modelled by a fully coupled Earth system model: prescribed GHG concentrations vs. interactive CH4 sources and sinks U. Im et al. https://doi.org/10.1088/2752-5295/adb3c0
8126. A high-resolution, two-millennium monthly downscaled climate dataset for North America P. Guaita & P. Crippa https://doi.org/10.1038/s41597-026-07572-x
8127. Atlantic Multidecadal Variability modulates the climate impacts of El Niño–Southern Oscillation in Australia P. Trascasa-Castro et al. https://doi.org/10.1088/1748-9326/ace920
8128. Assessment of precipitation and near-surface temperature simulation by CMIP6 models in South America M. Reboita et al. https://doi.org/10.1088/2752-5295/ad3fdb
8129. Climate and human‐driven changes in malaria vector distribution in China: implications for Anopheles species management M. Yan et al. https://doi.org/10.1002/ps.70002
8130. HEPPA-II model–measurement intercomparison project: EPP indirect effects during the dynamically perturbed NH winter 2008–2009 B. Funke et al. https://doi.org/10.5194/acp-17-3573-2017
8131. On the role of moist and dry processes in atmospheric blocking biases in the Euro-Atlantic region in CMIP6 E. Dolores-Tesillos et al. https://doi.org/10.5194/wcd-6-471-2025
8132. Anthropogenic impacts on changes in summer extreme precipitation over China during 1961–2014: roles of greenhouse gases and anthropogenic aerosols Y. Guo et al. https://doi.org/10.1007/s00382-022-06453-4
8133. Standardizing the factors used in wind farm site suitability models: A review J. Wimhurst et al. https://doi.org/10.1016/j.heliyon.2023.e15903
8134. The fast response of Sahel precipitation to climate change allows effective mitigation action P. Monerie et al. https://doi.org/10.1038/s41612-021-00179-6
8135. Climate, Variability, and Climate Sensitivity of “Middle Atmosphere” Chemistry Configurations of the Community Earth System Model Version 2, Whole Atmosphere Community Climate Model Version 6 (CESM2(WACCM6)) N. Davis et al. https://doi.org/10.1029/2022MS003579
8136. Exploring the spatiotemporal influence of climate on American avian migration with random forests I. Bick et al. https://doi.org/10.1038/s41598-025-06961-3
8137. Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al. https://doi.org/10.5194/gmd-17-143-2024
8138. Peak refreezing in the Greenland firn layer under future warming scenarios B. Noël et al. https://doi.org/10.1038/s41467-022-34524-x
8139. A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods M. Kadkhodazadeh et al. https://doi.org/10.3390/su14052601
8140. Regional disparities and seasonal differences in climate risk to rice labour C. Simpson et al. https://doi.org/10.1088/1748-9326/ac3288
8141. Convection-permitting simulations reveal expanded rainfall extremes of tropical cyclones affecting South Korea due to anthropogenic warming M. Lee et al. https://doi.org/10.1038/s41612-023-00509-w
8142. How well do the CMIP6 models simulate dust aerosols? A. Zhao et al. https://doi.org/10.5194/acp-22-2095-2022
8143. Future water storage changes over the Mediterranean, Middle East, and North Africa in response to global warming and stratospheric aerosol intervention A. Rezaei et al. https://doi.org/10.5194/esd-15-91-2024
8144. Uncertainty and Bias in Global to Regional Scale Assessments of Current and Future Coastal Flood Risk J. Hinkel et al. https://doi.org/10.1029/2020EF001882
8145. North Atlantic Oscillation response in GeoMIP experiments G6solar and G6sulfur: why detailed modelling is needed for understanding regional implications of solar radiation management A. Jones et al. https://doi.org/10.5194/acp-21-1287-2021
8146. Precipitation over semi-arid regions of North Hemisphere affected by Atlantic Multidecadal Oscillation K. Zhu et al. https://doi.org/10.1016/j.atmosres.2021.105801
8147. A long-term decline in downward surface solar radiation F. Song et al. https://doi.org/10.1093/nsr/nwaf007
8148. Possible Climate Change in Russia in the 21st Century Based on the INM-CM5-0 Climate Model E. Volodin https://doi.org/10.3103/S1068373922050016
8149. Marine heatwaves and cold-spells in global coral reef zones Y. Yao & C. Wang https://doi.org/10.1016/j.pocean.2022.102920
8150. Satellite nadir-viewing geometry affects the magnitude and detectability of long-term trends in stratospheric ozone L. Rivoire et al. https://doi.org/10.5194/acp-25-2269-2025
8151. Climate change and its impact on spatial and temporal distribution of visceral leishmaniasis transmission risk in Nepal B. Acharya et al. https://doi.org/10.1186/s12879-025-11757-x
8152. Evaluating boreal summer circulation patterns of CMIP6 climate models over the Asian region L. Bu et al. https://doi.org/10.1007/s00382-021-05914-6
8153. Climate and land use change threaten irrigation water quality in Bangladesh: machine learning and global climate models reveal future risks M. Islam et al. https://doi.org/10.2166/h2oj.2025.028
8154. Spatio-Temporal Variation of Precipitation in the Qinling Mountains from 1970 to 2100 Based on CMIP6 Data Z. Zhang et al. https://doi.org/10.3390/su14148654
8155. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality D. Yang et al. https://doi.org/10.1016/j.rser.2022.112348
8156. Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans P. Narenpitak et al. https://doi.org/10.1038/s41598-024-73149-6
8157. Model assessments and future projections of spring climate extremes in China based on CMIP6 models Y. Ai et al. https://doi.org/10.1002/joc.7492
8158. A machine learning approach to identify upper ocean water masses in the Indian Ocean S. Singh & M. Sapkal https://doi.org/10.1007/s40012-025-00417-9
8159. A power-sector optimization framework for assessing mitigation-adaptation synergies under climate change in a multi-climate country D. Razeghi-Jahromi & H. Khajehpour https://doi.org/10.1016/j.esr.2026.102290
8160. Future Directions in Precipitation Science F. Tapiador et al. https://doi.org/10.3390/rs13061074
8161. A New Chemistry-Climate Model GRIMs-CCM: Model Evaluation of Interactive Chemistry-Meteorology Simulations S. Lee et al. https://doi.org/10.1007/s13143-022-00281-6
8162. The global Sahel monsoon ocean-pressure index reconciles its regional and large-scale features A. Tamoffo et al. https://doi.org/10.1038/s41612-025-01226-2
8163. Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change X. Yang et al. https://doi.org/10.1038/s41477-026-02240-9
8164. Dynamical downscaling of unforced interannual sea-level variability in the North-West European shelf seas J. Tinker et al. https://doi.org/10.1007/s00382-020-05378-0
8165. Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil D. Araujo et al. https://doi.org/10.5327/Z2176-94781868
8166. Was there a volcanic-induced long-lasting cooling over the Northern Hemisphere in the mid-6th–7th century? E. van Dijk et al. https://doi.org/10.5194/cp-18-1601-2022
8167. Future changes in the influence of the Southern Annular Mode on South Pacific chlorophyll-a in the CESM2 large ensemble J. Yoon et al. https://doi.org/10.1088/1748-9326/ae2b85
8168. Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application C. Natel et al. https://doi.org/10.5194/gmd-18-4317-2025
8169. Observational Constraint on the Climate Sensitivity to Atmospheric CO2 Concentrations Changes Derived from the 1971–2017 Global Energy Budget J. Chenal et al. https://doi.org/10.1175/JCLI-D-21-0565.1
8170. Pressure level of maximum radiative heating enhancement in response to increasing CO2 over the global monsoon area X. Qu et al. https://doi.org/10.1016/j.aosl.2021.100037
8171. Sequential learning of climate change via a physical-parameter-based state-space model and Bayesian inference Y. Lai & M. Pozzi https://doi.org/10.1007/s10584-024-03739-w
8172. Accelerated China’s cold regions contraction under climate warming X. Wang et al. https://doi.org/10.1016/j.gr.2025.08.004
8173. Spatial Assessment of Water Use Efficiency (SDG Indicator 6.4.1) for Regional Policy Support C. Giupponi et al. https://doi.org/10.3389/fenvs.2018.00141
8174. Projection of Extreme Temperature Events over the Mediterranean and Sahara Using Bias-Corrected CMIP6 Models H. Babaousmail et al. https://doi.org/10.3390/atmos13050741
8175. Ionization in the Earth’s Atmosphere Due to Isotropic Energetic Electron Precipitation: Ion Production and Primary Electron Spectra I. Mironova et al. https://doi.org/10.3390/rs13204161
8176. Urbanization’s role in shaping ornamental tree diversity: a remote sensing and future scenario-based perspective D. Xu et al. https://doi.org/10.1080/15481603.2025.2557050
8177. The Effect of Explicit Convection on Climate Change in the West African Monsoon and Central West African Sahel Rainfall L. Jackson et al. https://doi.org/10.1175/JCLI-D-21-0258.1
8178. An Ensemble Covariance Framework for Quantifying Forced Climate Variability and Its Time of Emergence V. Yettella et al. https://doi.org/10.1175/JCLI-D-17-0719.1
8179. Evaluation of coupled model intercomparison project phase 6 models in simulating precipitation and its possible relationship with sea surface temperature over Myanmar Z. Sein et al. https://doi.org/10.3389/fenvs.2022.993802
8180. Reflexive climate service infrastructure relations P. Stegmaier et al. https://doi.org/10.1016/j.cliser.2020.100151
8181. Modelling supraglacial debris-cover evolution from the single-glacier to the regional scale: an application to High Mountain Asia L. Compagno et al. https://doi.org/10.5194/tc-16-1697-2022
8182. Climate Change Impacts on Agricultural Suitability in Rio Grande do Sul, Brazil E. Haggerty et al. https://doi.org/10.3390/environments12070222
8183. Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia M. Kleinhans et al. https://doi.org/10.1007/s10641-026-01818-8