682 citations as recorded by crossref.

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3. Response of deciduous trees spring phenology to recent and projected climate change in Central Lithuania R. Juknys et al. https://doi.org/10.1007/s00484-016-1149-4
4. Statistical downscaling for future extreme wave heights in the North Sea R. Towe et al. https://doi.org/10.1214/17-AOAS1084
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6. Assessment of climate change impact on maize yield and yield attributes under different climate change scenarios in eastern India R. Srivastava et al. https://doi.org/10.1016/j.ecolind.2020.106881
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9. Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin J. Quansah et al. https://doi.org/10.3390/cli9040055
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12. Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations D. McCoy et al. https://doi.org/10.5194/acp-19-1147-2019
13. Biomass burning related ozone damage on vegetation over the Amazon forest: a model sensitivity study F. Pacifico et al. https://doi.org/10.5194/acp-15-2791-2015
14. Understanding the bias in surface latent and sensible heat fluxes in contemporary AGCMs over tropical oceans X. Zhou et al. https://doi.org/10.1007/s00382-020-05431-y
15. Reducing uncertainty in projections of terrestrial carbon uptake N. Lovenduski & G. Bonan https://doi.org/10.1088/1748-9326/aa66b8
16. Impacts of climate change on apple tree cultivation areas in Iran H. Ahmadi et al. https://doi.org/10.1007/s10584-018-2316-x
17. Physical Mechanisms of Tropical Climate Feedbacks Investigated Using Temperature and Moisture Trends* A. Ferraro et al. https://doi.org/10.1175/JCLI-D-15-0253.1
18. Forecasting future range shifts of Xylella fastidiosa under climate change M. Godefroid et al. https://doi.org/10.1111/ppa.13637
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24. Targeted model evaluations for climate services: A case study on heat waves in Bangladesh H. Nissan et al. https://doi.org/10.1016/j.crm.2020.100213
25. Species‐specific functional traits rather than phylogenetic relatedness better predict future range‐shift responses of odonates A. Viza et al. https://doi.org/10.1111/icad.12647
26. Intercomparison of shortwave radiative transfer schemes in global aerosol modeling: results from the AeroCom Radiative Transfer Experiment C. Randles et al. https://doi.org/10.5194/acp-13-2347-2013
27. Attributing the behavior of low‐level clouds in large‐scale models to subgrid‐scale parameterizations R. Neggers https://doi.org/10.1002/2015MS000503
28. 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
29. A heteroskedastic model of Park Grass spring hay yields in response to weather suggests continuing yield decline with climate change in future decades J. Addy et al. https://doi.org/10.1098/rsif.2022.0361
30. Combining the [ABA] and net photosynthesis-based model equations of stomatal conductance C. Huntingford et al. https://doi.org/10.1016/j.ecolmodel.2015.01.005
31. Towards a Future Scenario for Offshore Wind Energy in Chile: Breaking the Paradigm C. Mattar et al. https://doi.org/10.3390/su13137013
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33. Mistral and Tramontane wind systems in climate simulations from 1950 to 2100 A. Obermann-Hellhund et al. https://doi.org/10.1007/s00382-017-3635-8
34. The difference in the uncertainty sources between future projections of mean and extreme precipitation over East Asia A. Juzbašić et al. https://doi.org/10.1088/1748-9326/ad52ae
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36. Stratospheric ozone change and related climate impacts over 1850–2100 as modelled by the ACCMIP ensemble F. Iglesias-Suarez et al. https://doi.org/10.5194/acp-16-343-2016
37. Future amazon basin wetland hydrology under projected climate change N. Gedney et al. https://doi.org/10.1371/journal.pwat.0000225
38. Historical and Projected Changes in the Southern Hemisphere Surface Westerlies R. Goyal et al. https://doi.org/10.1029/2020GL090849
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40. Potential Impact of Future Climates on Rice Production in Ecuador Determined Using Kobayashi’s ‘Very Simple Model’ D. Portalanza et al. https://doi.org/10.3390/agriculture12111828
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42. 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
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44. Assessing Hydrological Ecosystem Services in a Rubber-Dominated Watershed under Scenarios of Land Use and Climate Change K. Thellmann et al. https://doi.org/10.3390/f10020176
45. Century‐scale perspectives on observed and simulated Southern Ocean sea ice trends from proxy reconstructions W. Hobbs et al. https://doi.org/10.1002/2016JC012111
46. Non‐additive response of the high‐latitude Southern Hemisphere climate to aerosol forcing in a climate model with interactive chemistry J. Pope et al. https://doi.org/10.1002/asl.1004
47. A spectral nudging method for the ACCESS1.3 atmospheric model P. Uhe & M. Thatcher https://doi.org/10.5194/gmd-8-1645-2015
48. Substantial increase in wildfire danger conditions under anthropogenic climate change in Southwest France M. Lanet et al. https://doi.org/10.1038/s44304-025-00124-0
49. Evaluation of CMIP climate model hydrological output for the Mississippi River Basin using GRACE satellite observations F. Freedman et al. https://doi.org/10.1016/j.jhydrol.2014.10.036
50. Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al. https://doi.org/10.1007/s00382-019-04617-3
51. Projection of future monsoon precipitation over the central Himalayas by CMIP5 models under warming scenarios I. Kadel et al. https://doi.org/10.3354/cr01497
52. Modeling Boro rice water requirements and irrigation schedules in Mymensingh, Bangladesh, under subtropical climate change M. Islam et al. https://doi.org/10.1016/j.rineng.2024.103665
53. Global warming without global mean precipitation increase? M. Salzmann https://doi.org/10.1126/sciadv.1501572
54. Will Fire Danger Be Reduced by Using Solar Radiation Management to Limit Global Warming to 1.5 °C Compared to 2.0 °C? C. Burton et al. https://doi.org/10.1002/2018GL077848
55. Can the Global Forest Sector Survive 11 °C Warming? A. Favero et al. https://doi.org/10.1017/age.2018.15
56. On the Time Evolution of Climate Sensitivity and Future Warming P. Goodwin https://doi.org/10.1029/2018EF000889
57. The transformation of Arctic clouds with warming J. Ridley et al. https://doi.org/10.1007/s10584-016-1772-4
58. Increased Suitability of Poleward Climate for a Tropical Butterfly (Euripus nyctelius) (Lepidoptera: Nymphalidae) Accompanies its Successful Range Expansion T. Au et al. https://doi.org/10.1093/jisesa/iez105
59. Possible impacts of a future grand solar minimum on climate: Stratospheric and global circulation changes A. Maycock et al. https://doi.org/10.1002/2014JD022022
60. Contribution of sea-ice loss to Arctic amplification is regulated by Pacific Ocean decadal variability J. Screen & J. Francis https://doi.org/10.1038/nclimate3011
61. Ocean–Atmosphere State Dependence of the Atmospheric Response to Arctic Sea Ice Loss J. Osborne et al. https://doi.org/10.1175/JCLI-D-16-0531.1
62. Projected effects of climate change in precipitation and streamflows of the Upper Orinoco River Basin from global and regional climate models H. Salas et al. https://doi.org/10.2166/wcc.2024.659
63. Impacts of Climate Change on Late Soybean Cultivation in Subtropical Southern Brazil T. Bigolin & E. Talamini https://doi.org/10.3390/crops5020020
64. The missing Northern European winter cooling response to Arctic sea ice loss J. Screen https://doi.org/10.1038/ncomms14603
65. Climate and environmental changes driving idiosyncratic shifts in the distribution of tropical and temperate worm reefs L. Faroni-Perez https://doi.org/10.1017/S002531541700087X
66. Brief communication: Solar radiation management not as effective as CO2 mitigation for Arctic sea ice loss in hitting the 1.5 and 2 °C COP climate targets J. Ridley & E. Blockley https://doi.org/10.5194/tc-12-3355-2018
67. Uncertainties in the Arctic Ocean response to CO$$_2$$: a process-based analysis O. Saenko et al. https://doi.org/10.1007/s00382-023-06986-2
68. Future projection of extreme precipitation over the Korean Peninsula under global warming levels of 1.5 °C and 2.0 °C, using large ensemble of RCMs in CORDEX-East Asia Phase 2 D. Kim et al. https://doi.org/10.1007/s00704-023-04570-6
69. Projeções de Radiação Solar Incidente à Superfície e Nebulosidade Para a Região Nordeste do Brasil Através de um Conjunto de Modelos Climáticos P. Santos et al. https://doi.org/10.1590/0102-77863910036
70. Critical Southern Ocean climate model biases traced to atmospheric model cloud errors P. Hyder et al. https://doi.org/10.1038/s41467-018-05634-2
71. Detection and attribution of precipitation trends associated with the poleward shift of the South Atlantic Convergence Zone using CMIP5 simulations M. Zilli & L. Carvalho https://doi.org/10.1002/joc.7007
72. A Multimodel Study of Sea Surface Temperature and Subsurface Density Fingerprints of the Atlantic Meridional Overturning Circulation C. Roberts et al. https://doi.org/10.1175/JCLI-D-12-00762.1
73. Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China Z. Yin et al. https://doi.org/10.3390/w9110880
74. Future changes in precipitation for identified sub‐regions in East Asia using bias‐corrected multi‐RCMs C. Park et al. https://doi.org/10.1002/joc.6936
75. The impact of parametrized convection on cloud feedback M. Webb et al. https://doi.org/10.1098/rsta.2014.0414
76. Quantifying internally generated and externally forced climate signals at regional scales in CMIP5 models K. Lyu et al. https://doi.org/10.1002/2015GL065508
77. Predicting Climate Change Impacts on Candelilla (Euphorbia antisyphilitica Zucc.) for Mexico: An Approach for Mexico’s Primary Harvest Area A. Martínez-Sifuentes et al. https://doi.org/10.3390/su15107737
78. Evaluating CMIP5 simulations of mixed layer depth during summer C. Huang et al. https://doi.org/10.1002/2013JC009535
79. Surface Warming and Atmospheric Circulation Dominate Rainfall Changes Over Tropical Rainforests Under Global Warming M. Saint‐Lu et al. https://doi.org/10.1029/2019GL085295
80. Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets P. Panagos et al. https://doi.org/10.1016/j.jhydrol.2017.03.006
81. Assessment of regional climate change impacts and adaptation strategies for maize production in Brazil F. Bender & P. Sentelhas https://doi.org/10.1007/s00704-026-06075-4
82. An assessment of the present hydroclimatic regime of the Madeira River basin using climate and hydrological models L. Vergasta et al. https://doi.org/10.1080/02626667.2023.2216844
83. The Effect of Climate Change on Forest Fire Danger and Severity in the Canadian Boreal Forests for the Period 1976–2100 Y. Wang https://doi.org/10.1029/2023JD039118
84. Downscaling of climate extremes over South America – Part I: Model evaluation in the reference climate C. Dereczynski et al. https://doi.org/10.1016/j.wace.2020.100273
85. Cloud Feedbacks, Rapid Adjustments, and the Forcing–Response Relationship in a Transient CO2 Reversibility Scenario T. Andrews & M. Ringer https://doi.org/10.1175/JCLI-D-13-00421.1
86. Spatiotemporal functional permutation tests for comparing observed climate behavior to climate model projections J. French et al. https://doi.org/10.5194/ascmo-10-123-2024
87. The influence of weather regimes on European renewable energy production and demand K. van der Wiel et al. https://doi.org/10.1088/1748-9326/ab38d3
88. Assessment of Climate Change over South America under RCP 4.5 and 8.5 Downscaling Scenarios S. Chou et al. https://doi.org/10.4236/ajcc.2014.35043
89. Potential impact of climate change on the geographical distribution of two wild vectors of Chagas disease in Chile: Mepraia spinolai and Mepraia gajardoi R. Garrido et al. https://doi.org/10.1186/s13071-019-3744-9
90. 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
91. Climatic impacts of stratospheric geoengineering with sulfate, black carbon and titania injection A. Jones et al. https://doi.org/10.5194/acp-16-2843-2016
92. Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. https://doi.org/10.5194/gmd-9-1153-2016
93. Prediction of the effects of climate change on Sechium edule (Jacq.) Swartz varietal groups in Mexico R. González-Santos et al. https://doi.org/10.1007/s10722-016-0401-4
94. The role of northern Arabian Sea surface temperature biases in CMIP5 model simulations and future projections of Indian summer monsoon rainfall R. Levine et al. https://doi.org/10.1007/s00382-012-1656-x
95. Impacts of the Atlantic Equatorial Mode in a warmer climate E. Mohino & T. Losada https://doi.org/10.1007/s00382-015-2471-y
96. Summertime precipitation over northern Australia in AMIP simulations from CMIP5 D. Ackerley et al. https://doi.org/10.1002/qj.2476
97. Description and evaluation of the Diat-HadOCC model v1.0: the ocean biogeochemical component of HadGEM2-ES I. Totterdell https://doi.org/10.5194/gmd-12-4497-2019
98. Estimation of climate change impact on energy consumption in a residential building in Kaunas, Lithuania, using HEED Software A. Sabunas & A. Kanapickas https://doi.org/10.1016/j.egypro.2017.09.020
99. Communication-Efficient Property Preservation in Tracer Transport A. Bradley et al. https://doi.org/10.1137/18M1165414
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103. Black carbon pollution simulations: a RegCM4 model projection and assessment during the boreal winter and summer over West Africa region A. Oluleye & A. Folorunsho https://doi.org/10.1007/s40808-020-00976-7
104. Changes in Climate Extremes in Central Asia under 1.5 and 2 °C Global Warming and their Impacts on Agricultural Productions Y. Liu et al. https://doi.org/10.3390/atmos11101076
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106. Understanding the surface temperature response and its uncertainty to CO2, CH4, black carbon, and sulfate K. Nordling et al. https://doi.org/10.5194/acp-21-14941-2021
107. Interbasin river mapping between Californian and Turkish rivers for climate change assessment M. Dogan https://doi.org/10.2166/wcc.2024.495
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109. Climate change projections over three metropolitan regions in Southeast Brazil using the non-hydrostatic Eta regional climate model at 5-km resolution A. Lyra et al. https://doi.org/10.1007/s00704-017-2067-z
110. Evaluation of North Pacific Intermediate Water Simulated by HadGEM2-AO H. Min & B. Yim https://doi.org/10.4217/OPR.2015.37.4.265
111. Physically Plausible Methods for Projecting Changes in Great Lakes Water Levels under Climate Change Scenarios B. Lofgren & J. Rouhana https://doi.org/10.1175/JHM-D-15-0220.1
112. ACCESS datasets for CMIP6: methodology and idealised experiments C. Mackallah et al. https://doi.org/10.1071/ES21031
113. Potential impacts of flood risk with rising sea level in Macau: Dynamic simulation from historical Typhoon Mangkhut (2018) J. Yang & M. Chen https://doi.org/10.1016/j.oceaneng.2022.110605
114. Dynamical Core in Atmospheric Model Does Matter in the Simulation of Arctic Climate S. Jun et al. https://doi.org/10.1002/2018GL077478
115. Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections M. Semenov & P. Stratonovitch https://doi.org/10.3354/cr01297
116. Global Carbon Budget Changes under RCP Scenarios in HadGEM2-CC T. Heo et al. https://doi.org/10.14191/Atmos.2015.25.1.085
117. On the importance of the albedo parameterization for the mass balance of the Greenland ice sheet in EC-Earth M. Helsen et al. https://doi.org/10.5194/tc-11-1949-2017
118. Climatic Impacts of Land-Use Change due to Crop Yield Increases and a Universal Carbon Tax from a Scenario Model* T. Davies-Barnard et al. https://doi.org/10.1175/JCLI-D-13-00154.1
119. Disruptions in precipitation cycles: Attribution to anthropogenic forcing F. Tapiador et al. https://doi.org/10.1002/2015JD023406
120. Comparing Tropical Forest Projections from Two Generations of Hadley Centre Earth System Models, HadGEM2-ES and HadCM3LC P. Good et al. https://doi.org/10.1175/JCLI-D-11-00366.1
121. The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 1: Model description and pre-industrial simulation R. Law et al. https://doi.org/10.5194/gmd-10-2567-2017
122. Efectos del cambio climático antropogénico en la distribución potencial del género Pronophila Doubleday, [1849] en Colombia (Lepidoptera: Satyrinae, Pronophilina) A. Murillo-P. et al. https://doi.org/10.57065/shilap.1017
123. Impact of climate change on the flow of the Doce River basin F. Costa et al. https://doi.org/10.1590/2318-0331.272220220069
124. Observable, low-order dynamical controls on thresholds of the Atlantic meridional overturning circulation R. Wood et al. https://doi.org/10.1007/s00382-019-04956-1
125. Climate change is likely to increase the development rate of anthelmintic resistance in equine cyathostomins in New Zealand C. Sauermann et al. https://doi.org/10.1016/j.ijpddr.2020.09.001
126. Parameterizations for global thundercloud corona discharge distributions S. Soler et al. https://doi.org/10.5194/acp-24-10225-2024
127. Assessing recent air-sea freshwater flux changes using a surface temperature-salinity space framework J. Grist et al. https://doi.org/10.1002/2016JC012091
128. Species-specific ecological niche modelling predicts different range contractions for Lutzomyia intermedia and a related vector of Leishmania braziliensis following climate change in South America S. McIntyre et al. https://doi.org/10.1186/s13071-017-2093-9
129. Causes of future Mediterranean precipitation decline depend on the season R. Brogli et al. https://doi.org/10.1088/1748-9326/ab4438
130. A multi-diagnostic approach to cloud evaluation K. Williams & A. Bodas-Salcedo https://doi.org/10.5194/gmd-10-2547-2017
131. 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
132. Ensembles of climate change models for risk assessment of nuclear power plants M. Vagnoli et al. https://doi.org/10.1177/1748006X17734946
133. Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models A. Anav et al. https://doi.org/10.1175/JCLI-D-12-00417.1
134. Diagnosing atmosphere–land feedbacks in CMIP5 climate models C. Williams et al. https://doi.org/10.1088/1748-9326/7/4/044003
135. Projection of the temperature and precipitation impacts on the runoff using a representative concentration pathway scenario in the Agh-Darband basin, Iran G. Panahi et al. https://doi.org/10.1007/s12517-022-10443-5
136. Sea ice decline and 21st century trans‐Arctic shipping routes N. Melia et al. https://doi.org/10.1002/2016GL069315
137. Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain E. Russo et al. https://doi.org/10.5194/gmd-12-5229-2019
138. Long‐term ozone changes and associated climate impacts in CMIP5 simulations V. Eyring et al. https://doi.org/10.1002/jgrd.50316
139. Assessment of climate change impact on surface water resources in the Mitidja plain, Algeria I. Abdi & M. Meddi https://doi.org/10.1007/s11600-024-01429-w
140. The Met Office Global Coupled model 2.0 (GC2) configuration K. Williams et al. https://doi.org/10.5194/gmd-8-1509-2015
141. 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
142. Assessing Future Precipitation Patterns, Extremes and Variability in Major Nile Basin Cities: An Ensemble Approach with CORDEX CORE Regional Climate Models G. Gamal et al. https://doi.org/10.3390/cli12010009
143. Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change B. W. Miller et al. https://doi.org/10.3934/environsci.2015.2.400
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145. The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses R. Brogli et al. https://doi.org/10.5194/gmd-16-907-2023
146. 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
147. Mapping future water scarcity in a water abundant nation: Near-term projections for Scotland A. Visser-Quinn et al. https://doi.org/10.1016/j.crm.2021.100302
148. Understanding Rapid Adjustments to Diverse Forcing Agents C. Smith et al. https://doi.org/10.1029/2018GL079826
149. Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with imperfect predictors (global climate model experiment) A. Hernanz et al. https://doi.org/10.1002/joc.7611
150. Comparison of GCM and RCM simulated precipitation and temperature over Central America and the Caribbean A. Vichot-Llano et al. https://doi.org/10.1007/s00704-020-03400-3
151. Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming M. Latonin et al. https://doi.org/10.1016/j.polar.2021.100677
152. On the Effect of Historical SST Patterns on Radiative Feedback T. Andrews et al. https://doi.org/10.1029/2022JD036675
153. Projected Heat Waves in Ecuador under Climate Change: Insights from HadGEM-RegCM4 Coupled Model D. Portalanza et al. https://doi.org/10.3390/earth5010005
154. Why Do Models Produce Spread in Snow Albedo Feedback? C. Thackeray et al. https://doi.org/10.1029/2018GL078493
155. On the Correspondence between Mean Forecast Errors and Climate Errors in CMIP5 Models H. Ma et al. https://doi.org/10.1175/JCLI-D-13-00474.1
156. Comparative Effects of Climate Change and Tidal Stream Energy Extraction in a Shelf Sea M. De Dominicis et al. https://doi.org/10.1029/2018JC013832
157. A framework for analyzing climate change impacts on agricultural value chain T. Ali et al. https://doi.org/10.26599/ECM.2024.9400005
158. Climate Vulnerability Analysis of Marginal Populations of Yew (Taxus baccata L.): The Case of the Iberian Peninsula J. Cruz Román et al. https://doi.org/10.3390/f16060931
159. MJO Teleconnections over the PNA Region in Climate Models. Part I: Performance- and Process-Based Skill Metrics J. Wang et al. https://doi.org/10.1175/JCLI-D-19-0253.1
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332. Using longwave HIRS radiances to test climate models E. Turner & S. Tett https://doi.org/10.1007/s00382-013-1959-6
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336. Assessing Climate Change Impacts on Streamflow, Sediment and Nutrient Loadings of the Minija River (Lithuania): A Hillslope Watershed Discretization Application with High-Resolution Spatial Inputs N. Čerkasova et al. https://doi.org/10.3390/w11040676
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347. Performance evaluation of AR5-CMIP5 models for the representation of seasonal and multi-annual variability of precipitation in Brazilian hydropower sector basins under RCP8.5 scenario C. Silveira et al. https://doi.org/10.1080/02626667.2019.1612521
348. Oxygen minimum zones in the tropical Pacific across CMIP5 models: mean state differences and climate change trends A. Cabré et al. https://doi.org/10.5194/bg-12-5429-2015
349. Mapping the Vulnerability of Arctic Wetlands to Global Warming E. Kåresdotter et al. https://doi.org/10.1029/2020EF001858
350. Projeções de mudanças na precipitação e temperatura no nordeste brasileiro utilizando a técnica de downscaling dinâmico D. Sales et al. https://doi.org/10.1590/0102-778620140075
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352. The influence of glacial Northern Hemisphere ice sheets on atmospheric circulation H. Saini et al. https://doi.org/10.5194/cp-22-1457-2026
353. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method O. Andrews et al. https://doi.org/10.5194/bg-10-1799-2013
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355. Caribbean Low‐Level Jet future projections using a multiparameter ensemble of RegCM4 configurations A. Vichot‐Llano et al. https://doi.org/10.1002/joc.7319
356. “No‐regrets” pathways for navigating climate change: planning for connectivity with land use, topography, and climate C. Schloss et al. https://doi.org/10.1002/eap.2468
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358. The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 2: Historical simulations T. Ziehn et al. https://doi.org/10.5194/gmd-10-2591-2017
359. Reduction in surface climate change achieved by the 1987 Montreal Protocol R. Goyal et al. https://doi.org/10.1088/1748-9326/ab4874
360. On the Contribution of Longwave Radiation to Global Climate Model Biases in Arctic Lower Tropospheric Stability N. Barton et al. https://doi.org/10.1175/JCLI-D-14-00126.1
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363. Appendices https://doi.org/10.1002/wow3.143
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365. Best Scale for Detecting the Effects of Stratospheric Sulfate Aerosol Geoengineering on Surface Temperature Y. Lo et al. https://doi.org/10.1029/2018EF000933
366. How could a difference of 0.5°C in global warming modify the mean and extreme climate conditions around Antarctica? R. Saurral et al. https://doi.org/10.1002/joc.6566
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368. Flood insurance is a driver of population growth in European floodplains M. Tesselaar et al. https://doi.org/10.1038/s41467-023-43229-8
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371. Physics-based modeling of climate change impact on hurricane-induced coastal erosion hazards M. Jamous et al. https://doi.org/10.1038/s41612-023-00416-0
372. The influence of ENSO events on the stratospheric QBO in a multi-model ensemble F. Serva et al. https://doi.org/10.1007/s00382-020-05131-7
373. 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
374. Responses of regional high cloud cover to interannual variability and global warming: insights from a satellite simulator A. Noda et al. https://doi.org/10.1007/s00382-026-08312-y
375. Potential influence of sea surface temperature representation in climate model simulations over CORDEX‐SEA domain A. Magnaye et al. https://doi.org/10.1002/joc.7440
376. Climate change impacts on thermal stress in four climatically diverse European cities G. Katavoutas et al. https://doi.org/10.1007/s00484-022-02361-8
377. Simulated Atmospheric Response to Regional and Pan-Arctic Sea Ice Loss J. Screen https://doi.org/10.1175/JCLI-D-16-0197.1
378. A Prospectus for Constraining Rapid Cloud Adjustments in General Circulation Models C. Nam et al. https://doi.org/10.1029/2017MS001153
379. d4PDF: large-ensemble and high-resolution climate simulations for global warming risk assessment M. Ishii & N. Mori https://doi.org/10.1186/s40645-020-00367-7
380. Quantifying and Reducing Uncertainty in the Large-Scale Response of the Water Cycle G. Martin https://doi.org/10.1007/s10712-012-9203-1
381. 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
382. Constraining Uncertainties in CMIP5 Projections of September Arctic Sea Ice Extent with Observations D. Senftleben et al. https://doi.org/10.1175/JCLI-D-19-0075.1
383. Impact of the GeoMIP G1 sunshade geoengineering experiment on the Atlantic meridional overturning circulation Y. Hong et al. https://doi.org/10.1088/1748-9326/aa5fb8
384. Potential geographic distribution of the tiger mosquito Aedes albopictus (Skuse, 1894) (Diptera: Culicidae) in current and future conditions for Colombia E. Echeverry-Cárdenas et al. https://doi.org/10.1371/journal.pntd.0008212
385. Decomposing oceanic temperature and salinity change using ocean carbon change C. Turner et al. https://doi.org/10.5194/os-18-523-2022
386. Towards the top: niche expansion ofTaraxacum officinaleandUlex europaeusin mountain regions of South America R. Hernández-Lambraño et al. https://doi.org/10.1111/aec.12476
387. Discrepancies with satellite observations in the spatial structure of global precipitation as derived from global climate models F. Tapiador et al. https://doi.org/10.1002/qj.3289
388. Changes in heat stress considering temperature, humidity, and wind over East Asia under RCP8.5 and SSP5‐8.5 scenarios A. Juzbašić et al. https://doi.org/10.1002/joc.7636
389. Induced surface fluxes: a new framework for attributing Arctic sea ice volume balance biases to specific model errors A. West et al. https://doi.org/10.5194/tc-13-2001-2019
390. Constraining Future Summer Austral Jet Stream Positions in the CMIP5 Ensemble by Process-Oriented Multiple Diagnostic Regression* S. Wenzel et al. https://doi.org/10.1175/JCLI-D-15-0412.1
391. Assessing spatiotemporal characteristics of meteorological droughts in the Marmara Basin using HadGEM2-ES global climate model data A. Duvan et al. https://doi.org/10.1007/s10661-025-13884-z
392. A Comparison of Two Dust Uplift Schemes within the Same General Circulation Model D. Ackerley et al. https://doi.org/10.1155/2012/260515
393. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al. https://doi.org/10.1002/2017MS001115
394. Contributions of equatorial wave modes and parameterized gravity waves to the tropical QBO in HadGEM2 Y. Kim & H. Chun https://doi.org/10.1002/2014JD022174
395. Mid-21st century projections of hydroclimate in Western Himalayas and Satluj River basin S. Tiwari et al. https://doi.org/10.1016/j.gloplacha.2017.10.013
396. CO2 Emissions Determined by HadGEM2-ES to be Compatible with the Representative Concentration Pathway Scenarios and Their Extensions S. Liddicoat et al. https://doi.org/10.1175/JCLI-D-12-00569.1
397. The impact of land cover generated by a dynamic vegetation model on climate over east Asia in present and possible future climate M. Cho et al. https://doi.org/10.5194/esd-6-147-2015
398. An evaluation of tropical waves and wave forcing of the QBO in the QBOi models L. Holt et al. https://doi.org/10.1002/qj.3827
399. Tropical convection regimes in climate models: evaluation with satellite observations A. Steiner et al. https://doi.org/10.5194/acp-18-4657-2018
400. Regional modeling of surface‐atmosphere interactions and their impact on Great Lakes hydroclimate A. Bryan et al. https://doi.org/10.1002/2014JD022316
401. Drivers and uncertainties of future global marine primary production in marine ecosystem models C. Laufkötter et al. https://doi.org/10.5194/bg-12-6955-2015
402. Minimal influence of reduced Arctic sea ice on coincident cold winters in mid-latitudes R. Blackport et al. https://doi.org/10.1038/s41558-019-0551-4
403. Quantifying the relationship between streamflow and climate change in a small basin under future scenarios H. Wang et al. https://doi.org/10.1016/j.ecolind.2020.106251
404. Adaptation of water resources management under climate change M. Zhao & J. Boll https://doi.org/10.3389/frwa.2022.983228
405. Understanding the double peaked El Niño in coupled GCMs F. Graham et al. https://doi.org/10.1007/s00382-016-3189-1
406. Assessing climate change impacts on crops by adopting a set of crop performance indicators M. Moriondo et al. https://doi.org/10.1007/s41207-021-00246-7
407. Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes A. West et al. https://doi.org/10.5194/gmd-13-4845-2020
408. Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al. https://doi.org/10.5194/bg-21-5321-2024
409. Non-linear interactions between $$\hbox {CO}_2$$ CO 2 radiative and physiological effects on Amazonian evapotranspiration in an Earth system model K. Halladay & P. Good https://doi.org/10.1007/s00382-016-3449-0
410. Hydrologic implications of the isotopic kinetic fractionation of open-water evaporation W. Xiao et al. https://doi.org/10.1007/s11430-018-9246-9
411. Effects of 1.5 °C global warming on pavement climatic factors and performance Y. Qiao et al. https://doi.org/10.1016/j.trd.2024.104393
412. The impact of future emission policies on tropospheric ozone using a parameterised approach S. Turnock et al. https://doi.org/10.5194/acp-18-8953-2018
413. The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming T. Andrews & M. Webb https://doi.org/10.1175/JCLI-D-17-0087.1
414. COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review S. Sørland et al. https://doi.org/10.5194/gmd-14-5125-2021
415. Future Climate Projection in Northwest China With RegCM4.6 X. Pan et al. https://doi.org/10.1029/2019EA000819
416. Estimating wildfire potential in Taiwan under different climate change scenarios H. Yu et al. https://doi.org/10.1007/s10584-023-03669-z
417. An evaluation of the CMIP3 and CMIP5 simulations in their skill of simulating the spatial structure of SST variability G. Wang et al. https://doi.org/10.1007/s00382-014-2154-0
418. The diurnal cycle of marine cloud feedback in climate models M. Webb et al. https://doi.org/10.1007/s00382-014-2234-1
419. Assessing the potential for unaccounted emissions from bioenergy and the implications for forests: The United States and global J. Funk et al. https://doi.org/10.1111/gcbb.12912
420. Implementation of a new empirical relationship between aerosol and cloud droplet concentrations in a climate model H. Lee et al. https://doi.org/10.3354/cr01415
421. Recent progress and future directions in plasma-assisted biomass conversion to hydrogen A. Elhambakhsh et al. https://doi.org/10.1016/j.renene.2023.119307
422. Review of methods of spatio-temporal evaluation of rainfall erosivity and their correct application J. Brychta et al. https://doi.org/10.1016/j.catena.2022.106454
423. Climate refugia for two Colombian endemic tamarin primates are critically under-protected C. Arias-González et al. https://doi.org/10.1007/s42991-021-00151-0
424. Improved Arctic sea ice thickness projections using bias-corrected CMIP5 simulations N. Melia et al. https://doi.org/10.5194/tc-9-2237-2015
425. Impact of climate change on streamflow regime of a large Indian river basin using a novel monthly hybrid bias correction technique and a conceptual modeling framework D. Bisht et al. https://doi.org/10.1016/j.jhydrol.2020.125448
426. Understanding the impacts of predecessor rain events on flood hazard in a changing climate A. Khatun et al. https://doi.org/10.1002/hyp.14500
427. Evaluation of Relationships between Subtropical Marine Low Stratiform Cloudiness and Estimated Inversion Strength in CMIP5 Models Using the Satellite Simulator Package COSP T. Koshiro et al. https://doi.org/10.2151/sola.2018-005
428. Spatial optimization of the food, energy, and water nexus: A life cycle assessment-based approach K. Yuan et al. https://doi.org/10.1016/j.enpol.2018.05.009
429. Using an AGCM to Diagnose Historical Effective Radiative Forcing and Mechanisms of Recent Decadal Climate Change T. Andrews https://doi.org/10.1175/JCLI-D-13-00336.1
430. Naturally forced multidecadal variability of the Atlantic meridional overturning circulation M. Menary & A. Scaife https://doi.org/10.1007/s00382-013-2028-x
431. Numerical simulations of oceanic oxygen cycling in the FAMOUS Earth-System model: FAMOUS-ES, version 1.0 J. Williams et al. https://doi.org/10.5194/gmd-7-1419-2014
432. Freshwater stress on small island developing states: population projections and aridity changes at 1.5 and 2 °C K. Karnauskas et al. https://doi.org/10.1007/s10113-018-1331-9
433. The Role of the Subtropical Jet in Deficient Winter Precipitation Across the Mid‐Holocene Indus Basin K. Hunt & A. Turner https://doi.org/10.1029/2019GL081920
434. What are the implications of climate change for trans-Atlantic aircraft routing and flight time? E. Irvine et al. https://doi.org/10.1016/j.trd.2016.04.014
435. Spatialization and Prediction of Seasonal NO2 Pollution Due to Climate Change in the Korean Capital Area through Land Use Regression Modeling N. Lim et al. https://doi.org/10.3390/ijerph19095111
436. Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect D. Neubauer et al. https://doi.org/10.5194/acp-14-11997-2014
437. What determines future changes in photovoltaic potential over East Asia? C. Park et al. https://doi.org/10.1016/j.renene.2021.12.029
438. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al. https://doi.org/10.1029/2022GB007520
439. Predicting range shifts for critically endangered plants: Is habitat connectivity irrelevant or necessary? G. Yesuf et al. https://doi.org/10.1016/j.biocon.2021.109033
440. Sensitivity of a coupled climate model to canopy interception capacity T. Davies-Barnard et al. https://doi.org/10.1007/s00382-014-2100-1
441. Climate Impacts From a Removal of Anthropogenic Aerosol Emissions B. Samset et al. https://doi.org/10.1002/2017GL076079
442. 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
443. Influences of Local and Remote Conditions on Tropical Precipitation and Its Response to Climate Change M. Saint-Lu et al. https://doi.org/10.1175/JCLI-D-19-0450.1
444. Evaluating Model Simulations of Twentieth-Century Sea Level Rise. Part I: Global Mean Sea Level Change A. Slangen et al. https://doi.org/10.1175/JCLI-D-17-0110.1
445. High-resolution ensemble projections and uncertainty assessment of regional climate change over China in CORDEX East Asia H. Gu et al. https://doi.org/10.5194/hess-22-3087-2018
446. Bias Correction and Ensemble Projections of Temperature Changes over Ten Subregions in CORDEX East Asia C. Shen et al. https://doi.org/10.1007/s00376-020-0026-6
447. Prediction of sand and dust storms in West Asia under climate change scenario (RCPs) F. Rabbani & M. Sharifikia https://doi.org/10.1007/s00704-022-04240-z
448. Why Does Aerosol Forcing Control Historical Global-Mean Surface Temperature Change in CMIP5 Models? L. Rotstayn et al. https://doi.org/10.1175/JCLI-D-14-00712.1
449. Receiver Operating Characteristic Curve Analysis-Based Evaluation of GCMs Concerning Atmospheric Teleconnections E. Kristóf et al. https://doi.org/10.3390/atmos12101236
450. Projected changes in the evolution of drought on various timescales over the Czech Republic according to Euro‐CORDEX models V. Potopová et al. https://doi.org/10.1002/joc.5421
451. Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models R. Zhu et al. https://doi.org/10.3390/w11081588
452. Constraining projections of summer Arctic sea ice F. Massonnet et al. https://doi.org/10.5194/tc-6-1383-2012
453. Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators N. Owen et al. https://doi.org/10.1137/15M1046812
454. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. https://doi.org/10.1007/s00382-022-06634-1
455. Climate and land use change impacts on global terrestrial ecosystems and river flows in the HadGEM2-ES Earth system model using the representative concentration pathways R. Betts et al. https://doi.org/10.5194/bg-12-1317-2015
456. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method S. Ngai et al. https://doi.org/10.1016/j.gloplacha.2016.12.009
457. Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment M. Islam et al. https://doi.org/10.1016/j.rineng.2024.103667
458. Seasonally variant low cloud adjustment over cool oceans Y. Kamae et al. https://doi.org/10.1007/s00382-018-4478-7
459. Response of the HadGEM2 Earth System Model to Future Greenhouse Gas Emissions Pathways to the Year 2300* J. Caesar et al. https://doi.org/10.1175/JCLI-D-12-00577.1
460. An Energy Conservation Analysis of Ocean Drift in the CMIP5 Global Coupled Models* W. Hobbs et al. https://doi.org/10.1175/JCLI-D-15-0477.1
461. Impacts of increasing greenhouse gas concentrations and deforestation on extreme rainfall events in the Amazon basin: A multi‐model ensemble‐based study A. Brito et al. https://doi.org/10.1002/joc.8158
462. The Impact of Parameterized Convection on Climatological Precipitation in Atmospheric Global Climate Models P. Maher et al. https://doi.org/10.1002/2017GL076826
463. Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. https://doi.org/10.1016/j.renene.2023.118989
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466. The effect of climate change on groundwater level and its prediction using modern meta-heuristic model R. Dehghani et al. https://doi.org/10.1016/j.gsd.2021.100702
467. Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis D. Harp et al. https://doi.org/10.5194/tc-10-341-2016
468. Climate Change Impacts on Wind Waves Generated by Major Tropical Cyclones off the Coast of New Jersey, USA R. Marsooli et al. https://doi.org/10.3389/fbuil.2021.774084
469. On which timescales do gas transfer velocities control North Atlantic CO2 flux variability? M. Couldrey et al. https://doi.org/10.1002/2015GB005267
470. 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
471. Greenhouse-gas forced changes in the Atlantic meridional overturning circulation and related worldwide sea-level change M. Couldrey et al. https://doi.org/10.1007/s00382-022-06386-y
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473. Effects of the Climate Change on Peripheral Populations of Hydrophytes: A Sensitivity Analysis for European Plant Species Based on Climate Preferences R. Hernández-Lambraño et al. https://doi.org/10.3390/su13063147
474. Design with nature: Causation and avoidance of catastrophic flooding, Myanmar G. Brakenridge et al. https://doi.org/10.1016/j.earscirev.2016.12.009
475. Fish assemblages under climate change in Lithuanian rivers J. Kriaučiūnienė et al. https://doi.org/10.1016/j.scitotenv.2019.01.142
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478. Representing the Australian Heat Low in a GCM Using Different Surface and Cloud Schemes M. Allcock & D. Ackerley https://doi.org/10.1155/2016/9702607
479. The HadGEM2-ES implementation of CMIP5 centennial simulations C. Jones et al. https://doi.org/10.5194/gmd-4-543-2011
480. Quantifying the Effects of Snowpack on Soil Thermal and Carbon Dynamics of the Arctic Terrestrial Ecosystems Z. Lyu & Q. Zhuang https://doi.org/10.1002/2017JG003864
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482. 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
483. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. https://doi.org/10.1088/1748-9326/aca91e
484. 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
485. Global and regional chemical influence of sprites: reconciling modelling results and measurements F. Pérez-Invernón et al. https://doi.org/10.5194/acp-24-3577-2024
486. Japanese Encephalitis Virus Sylvatic co-occurrence probabilities under a changing climate J. Sexton et al. https://doi.org/10.1016/j.ecoinf.2026.103899
487. 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
488. Excessive positive response of model‐simulated land net primary production to climate changes over circumboreal forests S. Tei & A. Sugimoto https://doi.org/10.1002/pei3.10025
489. Lightning NOx, a key chemistry–climate interaction: impacts of future climate change and consequences for tropospheric oxidising capacity A. Banerjee et al. https://doi.org/10.5194/acp-14-9871-2014
490. Solar geoengineering could redistribute malaria risk in developing countries C. Carlson et al. https://doi.org/10.1038/s41467-022-29613-w
491. Effects of the Non‐breaking Surface Wave‐induced Vertical Mixing on Winter Mixed Layer Depth in Subtropical Regions S. Chen et al. https://doi.org/10.1002/2017JC013038
492. Are strong fire–vegetation feedbacks needed to explain the spatial distribution of tropical tree cover? P. Good et al. https://doi.org/10.1111/geb.12380
493. Analysis of the Nonlinearity of El Niño–Southern Oscillation Teleconnections* C. Frauen et al. https://doi.org/10.1175/JCLI-D-13-00757.1
494. Tropical Precipitation and Cross-Equatorial Ocean Heat Transport during the Mid-Holocene X. Liu et al. https://doi.org/10.1175/JCLI-D-16-0502.1
495. Augmenting freshwater availability in mountain headwater streams: Assessing the sustainability under baseline and future climate change scenarios B. Yifru et al. https://doi.org/10.1016/j.iswcr.2021.08.002
496. Evaluation of the new UKCA climate-composition model – Part 2: The Troposphere F. O'Connor et al. https://doi.org/10.5194/gmd-7-41-2014
497. Representation of African Easterly Waves in CMIP5 Models E. Martin & C. Thorncroft https://doi.org/10.1175/JCLI-D-15-0145.1
498. A Statistical Bias Correction Tool for Generating Climate Change Scenarios in Indonesia based on CMIP5 Datasets A. Faqih https://doi.org/10.1088/1755-1315/58/1/012051
499. A Large Committed Long‐Term Sink of Carbon due to Vegetation Dynamics T. Pugh et al. https://doi.org/10.1029/2018EF000935
500. Climate-related Range Shifts of Climate-sensitive Biological Indicator Species in the Korean Peninsula: A role of dispersal capacity S. Park et al. https://doi.org/10.15531/KSCCR.2019.10.3.185
501. Climate niche mismatch and the collapse of primate seed dispersal services in the Amazon L. Sales et al. https://doi.org/10.1016/j.biocon.2020.108628
502. Water footprint of winter wheat under climate change: Trends and uncertainties associated to the ensemble of crop models P. Garofalo et al. https://doi.org/10.1016/j.scitotenv.2018.12.279
503. Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence R. Macedo et al. https://doi.org/10.1371/journal.pone.0187770
504. Comparing Tropical Precipitation Simulated by the Met Office NWP and Climate Models with Satellite Observations C. Liu et al. https://doi.org/10.1175/JAMC-D-13-082.1
505. The influence of dynamic vegetation on the present-day simulation and future projections of the South Asian summer monsoon in the HadGEM2 family G. Martin & R. Levine https://doi.org/10.5194/esd-3-245-2012
506. South America climate change revealed through climate indices projected by GCMs and Eta-RCM ensembles M. Reboita et al. https://doi.org/10.1007/s00382-021-05918-2
507. Does atmospheric CO2 seasonality play an important role in governing the air-sea flux of CO2? P. Halloran https://doi.org/10.5194/bg-9-2311-2012
508. Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 J. Dufresne et al. https://doi.org/10.1007/s00382-012-1636-1
509. Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations G. Cesana et al. https://doi.org/10.5194/acp-19-2813-2019
510. Current and future suitable habitat areas for Nasuella olivacea (Gray, 1865) in Colombia and Ecuador and analysis of its distribution across different land uses P. Medrano-Vizcaíno & P. Gutiérrez-Salazar https://doi.org/10.3897/BDJ.8.e49164
511. Precipitation in the Karakoram-Himalaya: a CMIP5 view E. Palazzi et al. https://doi.org/10.1007/s00382-014-2341-z
512. Sea-spray geoengineering in the HadGEM2-ES earth-system model: radiative impact and climate response A. Jones & J. Haywood https://doi.org/10.5194/acp-12-10887-2012
513. Evaluation of a Regional Reanalysis and ERA-Interim over East Asia Using In Situ Observations during 2013–14 E. Yang & H. Kim https://doi.org/10.1175/JAMC-D-16-0227.1
514. Projections of annual rainfall and surface temperature from CMIP5 models over the BIMSTEC countries K. Pattnayak et al. https://doi.org/10.1016/j.gloplacha.2017.03.005
515. The Transpose-AMIP II Experiment and Its Application to the Understanding of Southern Ocean Cloud Biases in Climate Models K. Williams et al. https://doi.org/10.1175/JCLI-D-12-00429.1
516. Changes in the North Pacific Current divergence and California Current transport based on HadGEM2-ES CMIP5 projections to the end of the century R. Toste et al. https://doi.org/10.1016/j.dsr2.2019.104641
517. Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model F. Malavelle et al. https://doi.org/10.5194/acp-19-1301-2019
518. 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
519. Distribución actual y potencial de Pinus engelmannii Carriére bajo escenarios de cambio climático M. Jiménez Salazar & J. Méndez González https://doi.org/10.21829/myb.2021.2732117
520. Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé https://doi.org/10.1002/2017GL076829
521. Antarctic and Southern Ocean Surface Temperatures in CMIP5 Models in the Context of the Surface Energy Budget* D. Schneider & D. Reusch https://doi.org/10.1175/JCLI-D-15-0429.1
522. Analysis of Current and Future SPEI Droughts in the La Plata Basin Based on Results from the Regional Eta Climate Model A. Sordo-Ward et al. https://doi.org/10.3390/w9110857
523. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP J. Davie et al. https://doi.org/10.5194/esd-4-359-2013
524. A comparison of temperature and precipitation responses to different Earth radiation management geoengineering schemes J. Crook et al. https://doi.org/10.1002/2015JD023269
525. Projected wind and waves around the Cuban archipelago using a multimodel ensemble A. Hidalgo-Mayo et al. https://doi.org/10.1007/s00704-024-05093-4
526. Unequal climate impacts on global values of natural capital B. Bastien-Olvera et al. https://doi.org/10.1038/s41586-023-06769-z
527. Quo vadis Scots pine forestry in northern Germany: How do silvicultural management and climate change determine an uncertain future? H. Knocke et al. https://doi.org/10.1007/s10342-024-01701-0
528. Development of the Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled model J. Rae et al. https://doi.org/10.5194/gmd-8-2221-2015
529. Projected Changes in Terrestrial Vegetation and Carbon Fluxes under 1.5 °C and 2.0 °C Global Warming X. Peng et al. https://doi.org/10.3390/atmos13010042
530. On the spread of changes in marine low cloud cover in climate model simulations of the 21st century X. Qu et al. https://doi.org/10.1007/s00382-013-1945-z
531. Can increasing albedo of existing ship wakes reduce climate change? J. Crook et al. https://doi.org/10.1002/2015JD024201
532. 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
533. Comparison of spatial and temporal performance of two Regional Climate Models in the Amazon and La Plata river basins A. Builes-Jaramillo & V. Pántano https://doi.org/10.1016/j.atmosres.2020.105413
534. Western South Atlantic Climate Experiment (WeSACEx): extreme winds and waves over the Southeastern Brazilian sedimentary basins N. Crespo et al. https://doi.org/10.1007/s00382-022-06340-y
535. Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments Y. Huang et al. https://doi.org/10.3390/atmos9010010
536. Evaluation and Projection of Regional Climate over East Asia in CORDEX-East Asia Phase I Experiment G. Kim et al. https://doi.org/10.1007/s13143-020-00180-8
537. Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas C. Steinacker et al. https://doi.org/10.1002/ece3.5877
538. On the influence of simulated SST warming on rainfall projections in the Indo-Pacific domain: an AGCM study H. Zhang et al. https://doi.org/10.1007/s00382-017-3690-1
539. Modelling past sea ice changes H. Goosse et al. https://doi.org/10.1016/j.quascirev.2013.03.011
540. Local and Remote Impacts of Aerosol Species on Indian Summer Monsoon Rainfall in a GCM L. Guo et al. https://doi.org/10.1175/JCLI-D-15-0728.1
541. Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall K. van der Wiel et al. https://doi.org/10.1016/j.rser.2019.04.065
542. Global hunger and climate change adaptation through international trade C. Janssens et al. https://doi.org/10.1038/s41558-020-0847-4
543. Sensitivity of the Tropical Dust Cycle to Glacial Abrupt Climate Changes P. Hopcroft et al. https://doi.org/10.1029/2022GL101197
544. Projected effects of declining aerosols in RCP4.5: unmasking global warming? L. Rotstayn et al. https://doi.org/10.5194/acp-13-10883-2013
545. Delays in reducing waterborne and water-related infectious diseases in China under climate change M. Hodges et al. https://doi.org/10.1038/nclimate2428
546. Using climate change models to assess the probability of weather extremes events: a local scale study based on the generalized extreme value distribution M. Fontolan et al. https://doi.org/10.1590/1678-4499.2018144
547. Climate warming will not decrease perceived low-temperature extremes in China J. Zhu et al. https://doi.org/10.1007/s00382-018-4469-8
548. Simulation of the impacts of climate and land-use change on groundwater level in the Hashtgerd plain, Iran A. Hanifehlou et al. https://doi.org/10.1007/s12517-023-11510-1
549. Early signs of range disjunction of submountainous plant species: an unexplored consequence of future and contemporary climate changes E. Kuhn et al. https://doi.org/10.1111/gcb.13243
550. 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
551. Multidecadal Climate Variability and the “Warming Hole” in North America: Results from CMIP5 Twentieth- and Twenty-First-Century Climate Simulations* S. Kumar et al. https://doi.org/10.1175/JCLI-D-12-00535.1
552. Seed fate, seedling establishment and the role of propagule size in forest regeneration under climate change conditions E. Badano & E. Sánchez-Montes de Oca https://doi.org/10.1016/j.foreco.2021.119776
553. Solar Radiation Models and Gridded Databases to Fill Gaps in Weather Series and to Project Climate Change in Brazil F. Bender & P. Sentelhas https://doi.org/10.1155/2018/6204382
554. Ice supersaturation and the potential for contrail formation in a changing climate E. Irvine & K. Shine https://doi.org/10.5194/esd-6-555-2015
555. Strategy for generation of climate change projections feeding Spanish impact community M. Amblar-Francés et al. https://doi.org/10.5194/asr-15-217-2018
556. CMIP5 model analysis of future changes in ocean net primary production focusing on differences among individual oceans and models Y. Nakamura & A. Oka https://doi.org/10.1007/s10872-019-00513-w
557. 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
558. 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
559. Atmospheric impacts of Arctic sea-ice loss, 1979–2009: separating forced change from atmospheric internal variability J. Screen et al. https://doi.org/10.1007/s00382-013-1830-9
560. Investigating future changes in the volume budget of the Arctic sea ice in a coupled climate model A. Keen & E. Blockley https://doi.org/10.5194/tc-12-2855-2018
561. 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
562. Biogeography of pollination under climate change: integrating pollinator effectiveness into species distribution models for mango in South Africa M. Sánchez & R. Pearson https://doi.org/10.21425/fob.19.180771
563. Predicting the Future Distribution of Ara rubrogenys, an Endemic Endangered Bird Species of the Andes, Taking into Account Trophic Interactions A. Hambuckers et al. https://doi.org/10.3390/d13020094
564. Impacts of environmental and socio-economic factors on emergence and epidemic potential of Ebola in Africa D. Redding et al. https://doi.org/10.1038/s41467-019-12499-6
565. Greenhouse Gas Emission, Rainfall and Crop Production Over North-Western India V. Kumar et al. https://doi.org/10.2174/1874213001811010047
566. Land use and climate change impacts on distribution of plant species of conservation value in Eastern Ghats, India: a simulation study R. Ramachandran et al. https://doi.org/10.1007/s10661-019-8044-5
567. Climate change favours large seasonal loss of Arctic ozone P. von der Gathen et al. https://doi.org/10.1038/s41467-021-24089-6
568. 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
569. High-resolution and bias-corrected CMIP5 projections for climate change impact assessments C. Navarro-Racines et al. https://doi.org/10.1038/s41597-019-0343-8
570. An anatomy of the projected North Atlantic warming hole in CMIP5 models M. Menary & R. Wood https://doi.org/10.1007/s00382-017-3793-8
571. A review of recent changes in Southern Ocean sea ice, their drivers and forcings W. Hobbs et al. https://doi.org/10.1016/j.gloplacha.2016.06.008
572. Pathways to 1.5 °C and 2 °C warming based on observational and geological constraints P. Goodwin et al. https://doi.org/10.1038/s41561-017-0054-8
573. Connectivity between Historical Great Basin Precipitation and Pacific Ocean Variability: A CMIP5 Model Evaluation K. Smith et al. https://doi.org/10.1175/JCLI-D-14-00488.1
574. Regional Climate Impacts of Stabilizing Global Warming at 1.5 K Using Solar Geoengineering A. Jones et al. https://doi.org/10.1002/2017EF000720
575. How different are species distribution model predictions?—Application of a new measure of dissimilarity and level of significance to giant panda Ailuropoda melanoleuca Q. Huang et al. https://doi.org/10.1016/j.ecoinf.2018.06.004
576. Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations S. Lee et al. https://doi.org/10.3390/rs14092123
577. The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-4-919-2011
578. A coupled human–natural system to assess the operational value of weather and climate services for agriculture Y. Li et al. https://doi.org/10.5194/hess-21-4693-2017
579. Evaluation of Future Simulations of the CMIP5 GCMs Concerning Boreal Wintertime Atmospheric Teleconnection Patterns E. Kristóf https://doi.org/10.3390/meteorology1040028
580. The impact of a uniform ocean warming on the West African monsoon H. Mutton et al. https://doi.org/10.1007/s00382-023-06898-1
581. Impacts of climate change on flow regime and sequential threats to riverine ecosystem in the source region of the Yellow River X. Wang et al. https://doi.org/10.1007/s12665-018-7628-7
582. Dominance of the Southern Ocean in Anthropogenic Carbon and Heat Uptake in CMIP5 Models T. Frölicher et al. https://doi.org/10.1175/JCLI-D-14-00117.1
583. Rice phenology and water requirements in Northwestern Bangladesh in the face of climate change M. Shariot-Ullah & T. Acharjee https://doi.org/10.1007/s10333-023-00960-8
584. The Impact of the Direct Radiative Effect of Increased CO2 on the West African Monsoon H. Mutton et al. https://doi.org/10.1175/JCLI-D-21-0340.1
585. Quantifying the climate change‐driven impacts on the hydrology of a data‐scarce watershed located in the Brazilian Tropical Savanna J. Amorim et al. https://doi.org/10.1002/hyp.14638
586. High-resolution projections of mean and extreme precipitations over China through PRECIS under RCPs J. Zhu et al. https://doi.org/10.1007/s00382-017-3860-1
587. Potential effects of climate change on the distribution range of the main silicate sinker of the Southern Ocean S. Pinkernell & B. Beszteri https://doi.org/10.1002/ece3.1138
588. Transport matrices from standard ocean-model output and quantifying circulation response to climate change M. Chamberlain et al. https://doi.org/10.1016/j.ocemod.2019.01.005
589. Numerical simulations of precipitation and streamflow in current climate and future projections to drainage areas of Brazilian hydroelectric plants W. Luiz Silva et al. https://doi.org/10.3354/cr01589
590. Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model N. Bellouin et al. https://doi.org/10.5194/acp-13-3027-2013
591. Contrasting Responses of the Hadley Circulation to Different Meridional SST Structures during the Seasonal Cycle in CMIP5 Models J. Feng et al. https://doi.org/10.2151/sola.2017-019
592. Predicted climate change will increase the truffle cultivation potential in central Europe T. Čejka et al. https://doi.org/10.1038/s41598-020-76177-0
593. Climate tolerances of Philaenus spumarius should be considered in risk assessment of disease outbreaks related to Xylella fastidiosa M. Godefroid et al. https://doi.org/10.1007/s10340-021-01413-z
594. Projecting Podocarpaceae response to climate change: we are not out of the woods yet T. Twala et al. https://doi.org/10.1093/aobpla/plad034
595. On the impact of future climate change on tropopause folds and tropospheric ozone D. Akritidis et al. https://doi.org/10.5194/acp-19-14387-2019
596. PDRMIP: A Precipitation Driver and Response Model Intercomparison Project—Protocol and Preliminary Results G. Myhre et al. https://doi.org/10.1175/BAMS-D-16-0019.1
597. Bayesian Analysis of the Glacial‐Interglacial Methane Increase Constrained by Stable Isotopes and Earth System Modeling P. Hopcroft et al. https://doi.org/10.1002/2018GL077382
598. Climate Change and Thermal Comfort in Top Tourist Destinations—The Case of Santorini (Greece) G. Katavoutas et al. https://doi.org/10.3390/su13169107
599. The Sensitivity of Subsurface Microbes to Ocean Warming Accentuates Future Declines in Particulate Carbon Export E. Cavan et al. https://doi.org/10.3389/fevo.2018.00230
600. Climate change impact on sea surface winds in Southeast Asia M. Herrmann et al. https://doi.org/10.1002/joc.7433
601. Current and Future Potential Distribution of the Xerophytic Shrub Candelilla (Euphorbia antisyphilitica) under Two Climate Change Scenarios G. Vargas-Piedra et al. https://doi.org/10.3390/f11050530
602. Response of the Atlantic meridional overturning circulation to a reversal of greenhouse gas increases L. Jackson et al. https://doi.org/10.1007/s00382-013-1842-5
603. Inter-basin water transfers under changing climate and land use: Assessing water security and hydropower in the Paraíba do Sul River basin, Brazil A. Paiva et al. https://doi.org/10.1016/j.jsames.2023.104707
604. The Met Office Hadley Centre sea ice and sea surface temperature data set, version 2: 1. Sea ice concentrations H. Titchner & N. Rayner https://doi.org/10.1002/2013JD020316
605. Assessing future distribution, suitability of corridors and efficiency of protected areas to conserve vulnerable ungulates under climate change S. Malakoutikhah et al. https://doi.org/10.1111/ddi.13117
606. High resolution climate change projections for the Pyrenees region M. Amblar-Francés et al. https://doi.org/10.5194/asr-17-191-2020
607. Future Projections of Precipitation using Bias–Corrected High–Resolution Regional Climate Models for Sub–Regions with Homogeneous Characteristics in South Korea C. Park et al. https://doi.org/10.1007/s13143-022-00292-3
608. Effective radiative forcing from historical land use change T. Andrews et al. https://doi.org/10.1007/s00382-016-3280-7
609. Assessing the Robustness of Future Extreme Precipitation Intensification in the CMIP5 Ensemble M. Bador et al. https://doi.org/10.1175/JCLI-D-17-0683.1
610. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
611. 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
612. Distinct Off-Equatorial Zonal Wind Stress and Oceanic Responses for EP- and CP-Type ENSO Events S. McGregor et al. https://doi.org/10.1175/JCLI-D-21-0473.1
613. Quantifying the temperature-independent effect of stratospheric aerosol geoengineering on global-mean precipitation in a multi-model ensemble A. Ferraro & H. Griffiths https://doi.org/10.1088/1748-9326/11/3/034012
614. Boreal Winter Surface Air Temperature Responses to Large Tropical Volcanic Eruptions in CMIP5 Models C. Xing et al. https://doi.org/10.1175/JCLI-D-19-0186.1
615. How Do Regional Distributions of Daily Precipitation Change under Warming? R. Chadwick et al. https://doi.org/10.1175/JCLI-D-20-0864.1
616. Acidification at the Surface in the East Sea: A Coupled Climate-carbon Cycle Model Study Y. Park et al. https://doi.org/10.1007/s12601-018-0018-y
617. The Effect of a Well-Resolved Stratosphere on Surface Climate: Differences between CMIP5 Simulations with High and Low Top Versions of the Met Office Climate Model S. Hardiman et al. https://doi.org/10.1175/JCLI-D-11-00579.1
618. On the limitations of deep learning for statistical downscaling of climate change projections: The transferability and the extrapolation issues A. Hernanz et al. https://doi.org/10.1002/asl.1195
619. Conservation of data deficient species under multiple threats: Lessons from an iconic tropical butterfly (Teinopalpus aureus) S. Xing et al. https://doi.org/10.1016/j.biocon.2019.03.029
620. LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios A. Ahmed et al. https://doi.org/10.1007/s00477-021-01969-3
621. Future changes in the stratosphere-to-troposphere ozone mass flux and the contribution from climate change and ozone recovery S. Meul et al. https://doi.org/10.5194/acp-18-7721-2018
622. Phylogenetic analysis of niche divergence reveals distinct evolutionary histories and climate change implications for tropical carnivorous pitcher plants R. Schwallier et al. https://doi.org/10.1111/ddi.12382
623. Assessment of Suitable Habitat of the Demoiselle Crane (Anthropoides virgo) in the Wake of Climate Change: A Study of Its Wintering Refugees in Pakistan T. Khan et al. https://doi.org/10.3390/ani14101453
624. Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations K. Todd-Brown et al. https://doi.org/10.5194/bg-10-1717-2013
625. 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
626. Impacts of climate change and variability on drought characteristics and challenges on sorghum productivity in Babile District, Eastern Ethiopia A. Tolossa et al. https://doi.org/10.2166/wcc.2024.012
627. The impact of climate change over the potential evolution of the glaciers of Antizana volcano G. Buitrón-Cachipuendo et al. https://doi.org/10.1016/j.pce.2025.104214
628. Assessment of climate change impacts on streamflow and hydropower potential in the headwater region of the Grande river basin, Southeastern Brazil V. de Oliveira et al. https://doi.org/10.1002/joc.5138
629. Sensitivity of volcanic aerosol dispersion to meteorological conditions: A Pinatubo case study A. Jones et al. https://doi.org/10.1002/2016JD025001
630. Climate change impact assessment on the potential rubber cultivating area in the Greater Mekong Subregion R. Golbon et al. https://doi.org/10.1088/1748-9326/aad1d1
631. Assessing the fidelity of AOGCM‐simulated relationships between large‐scale modes of climate variability and wind speeds J. Schoof & S. Pryor https://doi.org/10.1002/2014JD021601
632. Increase in CO2 concentration could alter the response of Hedera helix to climate change R. Manzanedo et al. https://doi.org/10.1002/ece3.4388
633. Momentum Flux of Convective Gravity Waves Derived from an Offline Gravity Wave Parameterization. Part II: Impacts on the Quasi-Biennial Oscillation M. Kang et al. https://doi.org/10.1175/JAS-D-18-0094.1
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