608 citations as recorded by crossref.

1. Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products A. Jia et al. 10.1029/2021JD035987
2. Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald 10.1016/j.ese.2021.100124
3. Unevenly distributed CO2 and its impacts on terrestrial carbon uptake under the changing land uses S. Jiang et al. 10.1016/j.scitotenv.2023.166805
4. Quantifying the impacts of climate change and land use on hydrological processes: A comparison between mountain and lowland agricultural watersheds Z. Cui et al. 10.1002/hyp.13950
5. Projected changes in precipitation and air temperature over the Volga River Basin from bias-corrected CMIP6 outputs S. Hoseini et al. 10.61186/NMCE.2303.1034
6. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. 10.1007/s00376-020-0151-2
7. Climate change favours connectivity between virus-bearing pest and rice cultivations in sub-Saharan Africa, depressing local economies M. Iannella et al. 10.7717/peerj.12387
8. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. 10.1002/joc.8131
9. Analysis of factors influencing the ecologically suitable areas for Glyptosternum maculatum in the Yarlung Zangbo River Q. Zheng et al. 10.1016/j.ecolind.2024.111713
10. Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles B. Yang et al. 10.1007/s00704-019-02990-x
11. Future changes of global Annual and Seasonal Wind-Energy Production in CMIP6 projections considering air density variation G. Esnaola et al. 10.1016/j.energy.2024.132706
12. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al. 10.5194/esd-12-253-2021
13. Assessing future shifts in habitat suitability and connectivity to old-growth forests to support the conservation of the endangered giant noctule M. Iannella et al. 10.7717/peerj.14446
14. A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China R. Zhang et al. 10.1007/s00343-020-0157-8
15. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al. 10.1029/2022JD037978
16. The effectiveness of a large protected area to conserve a global endemism hotspot may vanish in the face of climate and land-use changes D. Wang et al. 10.3389/fevo.2022.984842
17. Forecasting the Distribution of a Range-Expanding Bat Reveals Future Response to Climate Change and Habitat M. True et al. 10.3161/15081109ACC2021.23.1.011
18. Impact of Climate Change on the Habitat Suitability of Monochamus saltuarius Gebler (Coleoptera; Cerambycidae) and Its Natural Enemies in China X. Zhang et al. 10.3390/f15010033
19. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Vertical Distribution Based on CMIP6 models L. Zhang et al. 10.1175/JCLI-D-21-0480.1
20. The Influence of Natural and Anthropogenic Forcing on Water and Energy Balance and on Photosynthesis J. Song et al. 10.3390/land10111151
21. Response of Extremely Small Populations to Climate Change—A Case of Trachycarpus nanus in Yunnan, China X. Wang et al. 10.3390/biology13040240
22. 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. 10.3389/fenvs.2022.985145
23. Assessment of Climate Change and Land Use/Land Cover Effects on Aralia elata Habitat Suitability in Northeastern China X. Jin et al. 10.3390/f15010153
24. Possible changes in Sudan's future precipitation under the high and medium emission scenarios based on bias adjusted GCMs M. Hamadalnel et al. 10.1016/j.atmosres.2022.106036
25. Nested hydrological modeling for flood prediction using CMIP6 inputs around Lake Tana, Ethiopia A. Alaminie et al. 10.1016/j.ejrh.2023.101343
26. Prioritizing Amazon Forest conservation: Assessing potential biomass under climate change M. Campos et al. 10.1016/j.gecco.2024.e03106
27. The impact of global changes in near-term climate forcers on East Africa’s climate R. Opio et al. 10.1186/s40068-023-00304-9
28. Global assessment of terrestrial precipitation and evapotranspiration in CMIP6 simulations using observation-based estimates S. Sun et al. 10.3389/frwa.2025.1520258
29. The double‐ITCZ problem in CMIP6 and the influences of deep convection and model resolution X. Ma et al. 10.1002/joc.7980
30. The Ginkgo biloba L. in China: Current Distribution and Possible Future Habitat Y. Zhang et al. 10.3390/f14122284
31. Evaluating the Impact of Climate Change and Human Activities on the Potential Distribution of Pine Wood Nematode (Bursaphelenchus xylophilus) in China L. Zhang et al. 10.3390/f15071253
32. Future Climate Change Increases the Risk of Suitable Habitats for the Invasive Macrophyte Elodea nuttallii Y. Qi et al. 10.3390/biology14050504
33. Evaluation of the Tail of the Probability Distribution of Daily and Subdaily Precipitation in CMIP6 Models J. Norris et al. 10.1175/JCLI-D-20-0182.1
34. A probabilistic assessment of urban flood risk and impacts of future climate change W. Liu et al. 10.1016/j.jhydrol.2023.129267
35. Analysis on the station-based and grid- based integration for dynamic-statistic combined predictions Z. Yang et al. 10.1007/s00704-024-04935-5
36. Diverging Northern Hemisphere Trends in Meteorological Versus Ecological Indicators of Spring Onset in CMIP6 X. Li et al. 10.1029/2023GL102833
37. Projected Change in Temperature and Precipitation Over Africa from CMIP6 M. Almazroui et al. 10.1007/s41748-020-00161-x
38. Projected expansion of hottest climate zones over Africa during the mid and late 21st century A. Dajuma et al. 10.1088/2752-5295/acc08a
39. Simulation of MJO with improved deep convection scheme in different resolutions of BCC-CSM2 models M. Zheng et al. 10.1007/s00382-023-07015-y
40. Maximizing photovoltaic potential and minimizing costs in a future warmer climate: The role of atmospheric aerosols and greenhouse gas emissions A. Isaza et al. 10.1016/j.renene.2023.119561
41. The reversal of surface air temperature anomalies in China between early and late winter 2021/2022: Observations and predictions C. Zhao et al. 10.1016/j.accre.2023.09.004
42. Predicting the potential distribution of the invasive weed Mikania micrantha and its biological control agent Puccinia spegazzinii under climate change scenarios in China W. Zhang et al. 10.1016/j.biocontrol.2025.105754
43. A drier Orinoco basin during the twenty-first century: the role of the Orinoco low-level jet I. Correa et al. 10.1007/s00382-023-07028-7
44. Comparison of CMIP6 and CMIP5 simulations of precipitation in China and the East Asian summer monsoon X. Xin et al. 10.1002/joc.6590
45. Consistent Trends in Dry Spell Length in Recent Observations and Future Projections C. Wainwright et al. 10.1029/2021GL097231
46. Evaluation of metrics for assessing dipolar climate patterns in climate models S. Veiga & H. Yuan 10.1007/s00382-024-07220-3
47. Modeling and predicting the effects of climate change on cotton-suitable habitats in the Central Asian arid zone J. Mai & G. Liu 10.1016/j.indcrop.2022.115838
48. Projections of meteorological drought based on CMIP6 multi-model ensemble: A case study of Henan Province, China X. Zhao et al. 10.1016/j.jconhyd.2021.103887
49. Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
50. Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China L. Liu et al. 10.1016/j.ecoinf.2021.101324
51. Assessment of temperature and precipitation trends in Kashkadarya, Uzbekistan S. Khamidov et al. 10.1051/e3sconf/202336501005
52. Development of Climate and Earth System Models in China: Past Achievements and New CMIP6 Results T. Zhou et al. 10.1007/s13351-020-9164-0
53. Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models P. Bhanu Deepika et al. 10.1016/j.dynatmoce.2024.101456
54. Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble S. Kim et al. 10.3390/w17060894
55. Precipitation seasonality determines the potential distribution of Hyaena hyaena in Saudi Arabia: Towards conservation planning R. Khayat et al. 10.1016/j.jnc.2024.126618
56. Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0 W. Li et al. 10.1016/j.accre.2023.02.001
57. Climate feedback from plant physiological responses to increasing atmospheric CO2 in Earth system models Y. Li 10.1111/nph.20184
58. Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India R. Datta & M. Reddy 10.1007/s00477-023-02484-3
59. 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. 10.1016/j.indcrop.2021.114416
60. Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment R. Gupta et al. 10.1016/j.jhydrol.2024.131761
61. Thermal tolerance of the biological control agent Neolema abbreviata and its potential geographic distribution together with its host Tradescantia fluminensis in South Africa F. Chidawanyika et al. 10.1016/j.biocontrol.2020.104315
62. Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics H. Nnamchi & I. Diallo 10.1007/s41748-023-00370-0
63. Addressing conservation measures through fine-tuned species distribution models for an Italian endangered endemic anuran I. Bernabò et al. 10.1016/j.gecco.2022.e02302
64. Temporal and Spatial Dynamics of Rodent Species Habitats in the Ordos Desert Steppe, China R. Hua et al. 10.3390/ani15050721
65. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
66. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
67. 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. 10.5194/essd-14-3039-2022
68. Assessment of Model Performance in East Asia Based on the CMIP6 Multi-Model Ensemble J. Lee et al. 10.15531/KSCCR.2021.12.5.461
69. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Optical Properties Based on CMIP6 models L. Zhang et al. 10.1175/JCLI-D-21-0479.1
70. Delineating the Area for Sustainable Cultivation of Morinda officinalis Based on the MaxEnt Model J. Liang et al. 10.3390/agronomy14061134
71. Evaluation of CMIP6 HighResMIP Models and ERA5 Reanalysis in Simulating Summer Precipitation over the Tibetan Plateau T. Chen et al. 10.3390/atmos14061015
72. Carbon budget concept and its deviation through the pulse response lens V. Avakumović 10.5194/esd-15-387-2024
73. Biogeophysical Effects of Land-Use and Land-Cover Changes in South Asia: An Analysis of CMIP6 Models J. Santos et al. 10.3390/land12040880
74. Climate Change Effects on the Only Western Palearctic Plethodontids: Range Changes and Possible Depletion of Intraspecific Genetic Diversity M. Iannella et al. 10.1111/jbi.15064
75. Climate change and the potential distribution of the glassy-winged sharpshooter (Homalodisca vitripennis), an insect vector of Xylella fastidiosa J. Rossi & J. Rasplus 10.1016/j.scitotenv.2022.160375
76. A new paleoclimate perspective shows that arid regions will be drier under global warming conditions Y. Li et al. 10.1017/qua.2024.60
77. Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs K. Lu et al. 10.1002/joc.7673
78. Detection and Attribution of Climate Change Using a Neural Network C. Bône et al. 10.1029/2022MS003475
79. Global Changes in Water Vapor 1979–2020 R. Allan et al. 10.1029/2022JD036728
80. Advances in CMIP6 INM-CM5 over CMIP5 INM-CM4 for precipitation simulation in South Korea Y. Song et al. 10.1016/j.atmosres.2020.105261
81. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
82. Present and Future Climate-Related Distribution of Narrow- versus Wide-Ranged Ostrya Species in China S. Tang et al. 10.3390/f12101366
83. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. 10.1029/2021EF002511
84. Assessment of the capability of CMIP6 global climate models to simulate Arctic cyclones J. Song et al. 10.1016/j.accre.2021.07.007
85. Towards better characterization of global warming impacts in the environment through climate classifications with improved global models A. Navarro et al. 10.1002/joc.7527
86. Projection of Changes in Rainfall and Drought Based on CMIP6 Scenarios on the Ca River Basin, Vietnam J. Shin et al. 10.3390/w16131914
87. Investigating Nonpoint Source and Pollutant Reduction Effects under Future Climate Scenarios: A SWAT-Based Study in a Highland Agricultural Watershed in Korea S. Sadiqi et al. 10.3390/w16010179
88. The benefits of being smaller: Consistent pattern for climate-induced range shift and morphological difference of three falconiforme species A. Xu et al. 10.1016/j.avrs.2023.100079
89. Assessing Soil Organic Carbon Stock Dynamics under Future Climate Change Scenarios in the Middle Qilian Mountains W. Liu et al. 10.3390/f12121698
90. Trends in carbon sink along the Belt and Road in the future under high emission scenario J. Peng et al. 10.1016/j.aosl.2022.100149
91. 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 10.1016/j.atmosres.2021.105936
92. Deconstructing Future AMOC Decline at 26.5°N H. Asbjørnsen & M. Årthun 10.1029/2023GL103515
93. Distinct Impacts of ENSO on Haze Pollution in the Beijing–Tianjin–Hebei Region between Early and Late Winters W. Zhao et al. 10.1175/JCLI-D-21-0459.1
94. Analysis of the distribution of Astragalus membranaceus var. mongholicus in Inner Mongolia under climate change using the GEE platform J. Guo et al. 10.1097/st9.0000000000000045
95. BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model T. Wu et al. 10.5194/gmd-14-2977-2021
96. Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang et al. 10.5194/os-18-839-2022
97. Rose-ringed Parakeets (Psittacula krameri, Scopoli, 1769) in Turkey: is the threat rising in the future? K. Erciyas-Yavuz et al. 10.1007/s10336-025-02267-3
98. Exploring ice sheet model sensitivity to ocean thermal forcing and basal sliding using the Community Ice Sheet Model (CISM) M. Berdahl et al. 10.5194/tc-17-1513-2023
99. Insights from the bias-corrected simulations of CMIP6 in India's future climate T. Kumar et al. 10.1016/j.gloplacha.2023.104137
100. Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
101. Impact of climate changes in the suitable areas for Coffea arabica L. production in Mozambique: Agroforestry as an alternative management system to strengthen crop sustainability C. Cassamo et al. 10.1016/j.agee.2022.108341
102. Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau M. Li et al. 10.3390/plants13050645
103. How virtuous are the bias corrected CMIP6 models in the simulation of heatwave over different meteorological subdivisions of India? S. Singh et al. 10.1016/j.uclim.2024.101936
104. Increasing Temperature Facilitates Polyp Spreading and Medusa Appearance of the Invasive Hydrozoan Craspedacusta sowerbii G. Marchessaux et al. 10.3390/biology11081100
105. Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios M. Niazkar et al. 10.1007/s00704-022-04274-3
106. Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5 J. Kim et al. 10.3390/su13042066
107. Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
108. Climatological diagnostics and subseasonal‐to‐seasonal predictions of Madden–Julian Oscillation events J. Wu et al. 10.1002/joc.7984
109. Assessing CMIP6 models in simulating meteo-oceanographic variability on Spanish continental coasts H. Pereira et al. 10.1016/j.ocemod.2024.102395
110. Understanding mammal resource choices and subsistence strategies during the Holocene Climate Optimum: Integration of evidence from palaeodistribution modelling, animal bones and archaeological remains in the farming-pastoral ecotone, northern China Y. Qu 10.1016/j.jas.2024.106071
111. Temperature extremes nip invasive macrophyte Cabomba caroliniana A. Gray in the bud: potential geographic distributions and risk assessment based on future climate change and anthropogenic influences X. Xian et al. 10.3389/fpls.2024.1393663
112. Extreme Tropical Precipitation Clusters Show Strong Increases in Frequency Under Global Warming in CMIP6 Models L. Dulguerov et al. 10.1029/2021GL096037
113. Modeling current and future potential distributions of desert locust Schistocerca gregaria (Forskål) under climate change scenarios using MaxEnt A. Saha et al. 10.1016/j.japb.2021.05.001
114. Climate Change Impacts on Water Resources in Arid and Semi-Arid Regions: A Case Study in Saudi Arabia M. El-Rawy et al. 10.3390/w15030606
115. Climate change and conservation strategies for the Anhui musk deer: habitat suitability and climate refuges in the Dabie Mountains D. Pang et al. 10.1007/s10980-025-02103-2
116. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
117. MaxEnt Modeling for Predicting Suitable Habitat for Endangered Tree Keteleeria davidiana (Pinaceae) in China Q. Zhang et al. 10.3390/f14020394
118. Lagged Linkage between the Kara–Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models H. Yang et al. 10.3390/rs15082111
119. Gravel parameterization scheme and verification using BCC_CSM Y. Xu et al. 10.1007/s00704-022-04015-6
120. Strong cloud–circulation coupling explains weak trade cumulus feedback R. Vogel et al. 10.1038/s41586-022-05364-y
121. Ensemble model-based analysis of the effects of environmental factors on the distribution and chemical composition of Asparagus cochinchinensis (Lour.) Merr. T. Zhang et al. 10.1016/j.indcrop.2024.118584
122. Future projections of seasonal temperature and precipitation for India P. Salunke et al. 10.3389/fclim.2023.1069994
123. Climate Change Drives the Adaptive Distribution and Habitat Fragmentation of Betula albosinensis Forests in China H. Zhang et al. 10.3390/f16010184
124. Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6 Y. Fu et al. 10.1007/s00376-020-0147-y
125. Determining the Anthropogenic Greenhouse Gas Contribution to the Observed Intensification of Extreme Precipitation S. Paik et al. 10.1029/2019GL086875
126. Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe R. Wilson et al. 10.1016/j.ecoinf.2024.102537
127. Protected areas mitigate the reduction in habitat suitability for swans under climate change: A case study in the Yellow River Basin C. Wang et al. 10.1016/j.envres.2025.121686
128. Anthropogenic activities change population heat exposure much more than natural factors and land use change: An analysis of 2020−2100 under SSP-RCP scenarios in Chinese cities T. He et al. 10.1016/j.scs.2023.104699
129. Threatened birds face new distribution under future climate change on the Qinghai-Tibet Plateau (QTP) B. Li et al. 10.1016/j.ecolind.2023.110217
130. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change? Q. Huang et al. 10.1016/j.catena.2023.107650
131. Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution X. Song et al. 10.1016/j.accre.2021.06.008
132. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2 C. Zhang et al. 10.1007/s11442-020-1778-8
133. Predicting potential global and future distributions of the African armyworm (Spodoptera exempta) using species distribution models I. Gómez-Undiano et al. 10.1038/s41598-022-19983-y
134. Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al. 10.5194/gmd-18-1169-2025
135. Prediction of potential distribution of soybean in the frigid region in China with MaxEnt modeling L. Gong et al. 10.1016/j.ecoinf.2022.101834
136. Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan S. Alsalal et al. 10.1007/s00704-024-05087-2
137. Potential Effects of Climate Change on Agricultural Water Resources in Riyadh Region, Saudi Arabia M. El-Rawy et al. 10.3390/su15129513
138. 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. 10.1007/s00382-022-06467-y
139. Assessing future changes in daily precipitation tails over India: insights from multimodel assessment of CMIP6 GCMs N. Gupta & S. Chavan 10.1007/s00704-024-04849-2
140. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. 10.1029/2022EF003179
141. 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. 10.3389/fmars.2023.1239885
142. Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model L. Zhang et al. 10.3390/insects15120930
143. Investigating the global and regional response of drought to idealized deforestation using multiple global climate models Y. Li et al. 10.5194/hess-29-1637-2025
144. Climate change will lead to range shifts and genetic diversity losses of dung beetles in the Gobi Desert and Mongolian Steppe C. Lim et al. 10.1038/s41598-024-66260-1
145. Characteristic changes in climate projections over Indus Basin using the bias corrected CMIP6 simulations K. Koteswara Rao et al. 10.1007/s00382-021-06108-w
146. Analysis of tropospheric warming and stratospheric cooling in the present and future climate from the suite of CMIP6 models T. Kumar et al. 10.1007/s00704-022-04136-y
147. Remote Impact of the QBO-MJO on early summer precipitation in Eastern Asia: model evidence from CMIP6 Z. Ju et al. 10.1007/s00382-025-07597-9
148. Mango‐GPP: A Process‐Based Model for Simulating Gross Primary Productivity of Mangrove Ecosystems Y. Tang et al. 10.1029/2023MS003714
149. Genetic Diversity Analysis and Prediction of Potential Suitable Areas for the Rare and Endangered Wild Plant Henckelia longisepala R. Zhao et al. 10.3390/plants13152093
150. Prediction of the Potential Distribution of Teinopalpus aureus Mell, 1923 (Lepidoptera, Papilionidae) in China Using Habitat Suitability Models Y. Liu et al. 10.3390/f15050828
151. Predicting changes in the suitable habitats of six halophytic plant species in the arid areas of Northwest China A. Yang et al. 10.1007/s40333-024-0062-7
152. Impact of Revised Trigger and Closure of the Double-Plume Convective Parameterization on Precipitation Simulations over East Asia X. Li et al. 10.1007/s00376-022-2225-9
153. Modelado Espacial Actual y Futuro de la Idoneidad de Hábitat de Triatoma nitida Usinger1 en Latinoamérica M. Torres-Delgado et al. 10.3958/059.047.0115
154. 21st‐century biogeochemical modeling: Challenges for Century‐based models and where do we go from here? D. Berardi et al. 10.1111/gcbb.12730
155. Contrasting effects of urbanization on vegetation between the Global South and Global North J. Chen et al. 10.1038/s41893-025-01520-0
156. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. 10.1029/2020GL090849
157. Testing a Physical Hypothesis for the Relationship Between Climate Sensitivity and Double‐ITCZ Bias in Climate Models M. Webb & A. Lock 10.1029/2019MS001999
158. Performance evaluation of surface air temperature simulated by the Beijing Climate Central Climate Model based on the climate complexity H. Jin et al. 10.1007/s00382-024-07137-x
159. How do CMIP6 models project changes in precipitation extremes over seasons and locations across the mid hills of Nepal? R. Chhetri et al. 10.1007/s00704-021-03698-7
160. How the Updated Earth System Models Project Terrestrial Gross Primary Productivity in China under 1.5 and 2 °C Global Warming C. Zhang et al. 10.3390/su132111744
161. Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models X. Xin et al. 10.3390/atmos12060762
162. Climate Change Increases the Expansion Risk of Helicoverpa zea in China According to Potential Geographical Distribution Estimation H. Zhao et al. 10.3390/insects13010079
163. Assessment of multidimensional diversity and conservation of threatened timber trees in China under climate change J. Hu et al. 10.1016/j.biocon.2024.110871
164. Potential Carbon Sequestration and Economic Value Assessment of the Relict Plant Ginkgo biloba L. Based on the Maximum Entropy Model X. Zhang et al. 10.3390/f14081618
165. Response of an Invasive Plant Species (Cynanchum acutum L.) to Changing Climate Conditions and Its Impact on Agricultural Landscapes B. Ar et al. 10.3390/land11091438
166. Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework P. Nguyen et al. 10.5194/gmd-17-7285-2024
167. Predicting the current and future distribution of Monochamus carolinensis (Coleoptera: Cerambycidae) based on the maximum entropy model J. Zhao et al. 10.1002/ps.7753
168. Accuracy of historical precipitation from CMIP6 global climate models under diversified climatic features over India G. Patel et al. 10.1016/j.envdev.2024.100998
169. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. 10.5194/gmd-13-977-2020
170. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. 10.1029/2020MS002353
171. Using quantile mapping and random forest for bias‐correction of high‐resolution reanalysis precipitation data and CMIP6 climate projections over Iran M. Raeesi et al. 10.1002/joc.8593
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430. Current distribution of two species of Chinese macaques (Macaca arctoides and Macaca thibetana) and the possible influence of climate change on future distribution W. Li et al. 10.1002/ajp.23493
431. Habitat distribution modeling of endangered medicinal plant Picrorhiza kurroa (Royle ex Benth) under climate change scenarios in Uttarakhand Himalaya, India N. Rawat et al. 10.1016/j.ecoinf.2021.101550
432. Contrasting Responses of Surface Heat Fluxes to Tropical Deforestation H. Chen & M. Lo 10.1029/2022JD038118
433. Does CMIP6 Inspire More Confidence in Simulating Climate Extremes over China? H. Zhu et al. 10.1007/s00376-020-9289-1
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437. Simulation of the Potential Suitable Distribution of the Endangered Cremastra appendiculata in China Under Global Climate Change X. Ouyang et al. 10.3389/fenvs.2022.878115
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443. Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China W. Tang et al. 10.3390/land11101673
444. Analysis of global trade patterns and industrial layout in medicinal plants: A case study of Eucommia ulmoides oliver H. Luo et al. 10.1016/j.indcrop.2025.120555
445. CMIP6 models simulate heavier future rainfall over the Highlands than across other agricultural areas of Yemen H. Gadain & B. Libanda 10.1007/s40808-023-01811-5
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447. Similar Pattern of Potential Distribution of Pinus yunnanensis Franch and Tomicusyunnanensis Kirkendall under Climate Change in China B. Huang et al. 10.3390/f13091379
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449. Ecological Niche Differentiation and Response to Climate Change of the African Endemic Family Myrothamnaceae Q. Wan et al. 10.3390/plants13111544
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455. Controls of the transient climate response to emissions by physical feedbacks, heat uptake and carbon cycling R. Williams et al. 10.1088/1748-9326/ab97c9
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458. Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia F. Enyew et al. 10.3390/cli12110169
459. What Are the Main Causes of Positive Subtropical Low Cloud Feedbacks in Climate Models? M. Webb et al. 10.1029/2023MS003716
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462. Assessing the potential global distribution of Monochamus sutor (Coleoptera: Cerambycidae) under the influence of climate change and human activities based on Maximum Entropy model L. Zhang et al. 10.1093/jee/toaf093
463. Predicting the Current and Future Distribution of Monolepta signata (Coleoptera: Chrysomelidae) Based on the Maximum Entropy Model Q. Liu et al. 10.3390/insects15080575
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465. Projections of Precipitation and Temperature over the South Asian Countries in CMIP6 M. Almazroui et al. 10.1007/s41748-020-00157-7
466. Ecological niche modelling of Tecomella undulata (Sm.) Seem: an endangered (A2a) tree species from arid and semi-arid environment imparts multiple ecosystem services M. Mathur & P. Mathur 10.1007/s42965-023-00311-y
467. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. 10.1029/2021GL094532
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470. Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China Y. Zhao et al. 10.3390/agriculture11111122
471. The performance of CMIP6 models in simulating surface energy fluxes over global continents S. Liu et al. 10.1007/s00382-022-06595-5
472. The Increasing Role of Vegetation Transpiration in Soil Moisture Loss across China under Global Warming M. Li et al. 10.1175/JHM-D-21-0132.1
473. Evaluation of Arctic Sea Ice Drift and its Relationship with Near-surface Wind and Ocean Current in Nine CMIP6 Models from China X. Yu et al. 10.1007/s00376-021-1153-4
474. Indian heatwaves in a future climate with varying hazard thresholds K. Rao et al. 10.1088/2752-5295/acb077
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476. Prediction of the potentially suitable areas of Eucommia ulmoides Oliver in China under climate change based on optimized Biomod2 and MaxEnt models G. Cao et al. 10.3389/fpls.2024.1359271
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479. Species boundaries and conservation implications of Cinnamomum japonicum, an endangered plant in China H. Lin et al. 10.1111/jse.12950
480. Invasive alien plants in the Qinghai-Tibetan Plateau (China): Current state and future predictions Q. Chu et al. 10.1016/j.ecolind.2024.112488
481. Evaluating wind and solar complementarity in China: Considering climate change and source-load matching dynamics Z. Chen et al. 10.1016/j.energy.2024.133485
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484. Predicting the Potential Distribution of Cheirotonus jansoni (Coleoptera: Scarabaeidae) Under Climate Change Y. Yu & Z. Li 10.3390/insects15121012
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505. Impact of Climate Change and Consumptive Demands on the Performance of São Francisco River Reservoirs, Brazil M. Silva et al. 10.3390/cli11040089
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514. Evaluating the aptitude of global climate models fromCMIP5andCMIP6in capturing the historical observations of monsoon rainfall over Sudan from 1946 to 2005 M. Hamadalnel et al. 10.1002/joc.7387
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519. Sustainability analysis of single vs. multiple adaptation strategies in tackling the adverse impacts of climate change on groundwater resources using water-food-energy nexus approach S. Afkhami et al. 10.1016/j.jclepro.2024.142532
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523. Impact of Climate Change on Distribution of Endemic Plant Section Tuberculata (Camellia L.) in China: MaxEnt Model-Based Projection X. Xiao et al. 10.3390/plants13223175
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530. Prediction of Potential Distribution Area of Two Parapatric Species in Triosteum under Climate Change X. Li et al. 10.3390/su15065604
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535. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al. 10.1002/joc.7834
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541. The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau H. Hu et al. 10.3390/d13120682
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546. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. 10.5194/tc-15-4281-2021
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559. Past and future climate change in the Zagros region of western Iran P. Attarod et al. 10.1016/j.ancene.2025.100475
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575. Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management – A comparison between CMIP5 and CMIP6 X. Li et al. 10.1016/j.compag.2022.107408
576. Citizen science and niche modeling to track and forecast the expansion of the brown marmorated stinkbug Halyomorpha halys (Stål, 1855) J. Streito et al. 10.1038/s41598-021-90378-1
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584. An Implicit Air Quality Bias Due to the State of Pristine Aerosol X. Zhao et al. 10.1029/2021EF001979
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588. Migration of vegetation boundary between alpine steppe and meadow on a century-scale across the Tibetan Plateau Y. Wang et al. 10.1016/j.ecolind.2022.108599
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592. Future runoff trends in the mang river basin of China: Implications of carbon emission paths T. Chen et al. 10.1016/j.jenvman.2024.123843
593. Water level retrieval for the past and prediction for the next 30 years at Lake Fuxian L. Jialong et al. 10.18307/2022.0320
594. 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. 10.3390/insects13121081
595. Future Implications of Climate Change on Arum palaestinum Boiss: Drought Tolerance, Growth and Production M. Abubaira et al. 10.3390/atmos14091361
596. Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. 10.1007/s13351-023-2195-6
597. Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data D. Koldasbayeva et al. 10.1038/s41598-022-09953-9
598. A coupled modelling framework for predicting tree species’ altitudinal migration velocity in montane forest P. Zhang et al. 10.1016/j.ecolmodel.2023.110481
599. Projected expansion in two influenza-susceptible birds' distribution under climate and land-cover changes on the Qinghai-Tibetan Plateau X. Wei et al. 10.1016/j.gecco.2024.e03305
600. Study on the Crop Suitability and Planting Structure Optimization in Typical Grain Production Areas under the Influence of Human Activities and Climate Change: A Case Study of the Naoli River Basin in Northeast China J. Yin & D. Wei 10.3390/su152216090
601. Symmetric and asymmetric response of Indian Summer Monsoon rainfall to different ENSO decay phases in observations and CMIP6 models J. Chowdary et al. 10.1016/j.gloplacha.2022.104000
602. Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models Y. Song et al. 10.1002/joc.7159
603. Current and projected patterns of warming and marine heatwaves in the Southern Indian Ocean C. Azarian et al. 10.1016/j.pocean.2023.103036
604. Sensitivity of simulated MJO to model vertical resolution in GAMIL3 H. Wang et al. 10.1002/asl.1277
605. An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. 10.1175/JCLI-D-19-0928.1
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607. Evaluation of Past and Future Climate Trends under CMIP6 Scenarios for the UBNB (Abay), Ethiopia A. Alaminie et al. 10.3390/w13152110
608. Simulation of Pseudostellaria heterophylla distribution in China: assessing habitat suitability and bioactive component abundance under future climate change scenariosplant components X. Li et al. 10.3389/fpls.2024.1498229