184 citations as recorded by crossref.

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6. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. 10.5194/esd-11-1233-2020
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9. Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future D. Visioni et al. 10.5194/acp-23-5149-2023
10. Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2021.148323
11. Feedback mechanisms of shallow convective clouds in a warmer climate as demonstrated by changes in buoyancy G. Dagan et al. 10.1088/1748-9326/aac178
12. Ice and mixed-phase cloud statistics on the Antarctic Plateau W. Cossich et al. 10.5194/acp-21-13811-2021
13. Plant Physiology Increases the Magnitude and Spread of the Transient Climate Response to CO2 in CMIP6 Earth System Models C. Zarakas et al. 10.1175/JCLI-D-20-0078.1
14. Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars M. Satoh et al. 10.1186/s40645-022-00511-5
15. Seasonal and interannual characteristics of atmospheric cloud radiative effect over South China and neighbouring ocean regions J. Li et al. 10.1002/joc.8271
16. Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations P. Kuma et al. 10.5194/acp-20-6607-2020
17. Climate Change Feedbacks in Aquaplanet Experiments With Explicit and Parametrized Convection for Horizontal Resolutions of 2,525 Up to 5 km M. Retsch et al. 10.1029/2019MS001677
18. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback T. Koshiro et al. 10.1073/pnas.2200635119
19. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model S. Eliasson et al. 10.5194/gmd-12-829-2019
20. When Will MISR Detect Rising High Clouds? T. Aerenson et al. 10.1029/2021JD035865
21. The Atmospheric Pathway of the Cloud-Radiative Impact on the Circulation Response to Global Warming: Important and Uncertain A. Voigt et al. 10.1175/JCLI-D-18-0810.1
22. Assessment of the Southern Ocean Sea Surface Temperature Biases in CMIP5 and CMIP6 Models Z. Gao et al. 10.1007/s11802-024-5808-5
23. Changes in clouds and thermodynamics under solar geoengineering and implications for required solar reduction R. Russotto & T. Ackerman 10.5194/acp-18-11905-2018
24. Attributing Historical and Future Evolution of Radiative Feedbacks to Regional Warming Patterns using a Green’s Function Approach: The Preeminence of the Western Pacific Y. Dong et al. 10.1175/JCLI-D-18-0843.1
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26. Temporal and Spatial Characteristics of Short-Term Cloud Feedback on Global and Local Interannual Climate Fluctuations from A-Train Observations Q. Yue et al. 10.1175/JCLI-D-18-0335.1
27. Robustness and drivers of the Northern Hemisphere extratropical atmospheric circulation response to a CO$$_2$$-induced warming in CNRM-CM6-1 T. Oudar et al. 10.1007/s00382-019-05113-4
28. Impact of ITCZ width on global climate: ITCZ-MIP A. Pendergrass et al. 10.5194/gmd-17-6365-2024
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31. Drivers of low-frequency Sahel precipitation variability: comparing CMIP5 and CMIP6 ensemble means with observations R. Herman et al. 10.1007/s00382-023-06755-1
32. Diurnally asymmetric cloud cover trends amplify greenhouse warming H. Luo et al. 10.1126/sciadv.ado5179
33. The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification D. Smith et al. 10.5194/gmd-12-1139-2019
34. Does Disabling Cloud Radiative Feedbacks Change Spatial Patterns of Surface Greenhouse Warming and Cooling? J. Chalmers et al. 10.1175/JCLI-D-21-0391.1
35. Asymmetric Cloud‐Shortwave Radiation‐Sea Surface Temperature Feedback of Ningaloo Niño/Niña T. Tozuka & P. Oettli 10.1029/2018GL079869
36. Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation T. Michibata et al. 10.5194/gmd-12-4297-2019
37. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. 10.1029/2021JD035198
38. Robust changes in global subtropical circulation under greenhouse warming S. Zhou et al. 10.1038/s41467-023-44244-5
39. Negligible Unforced Historical Pattern Effect on Climate Feedback Strength Found in HadISST-Based AMIP Simulations N. Lewis & T. Mauritsen 10.1175/JCLI-D-19-0941.1
40. Changing Characteristics of Tropical Extreme Precipitation–Cloud Regimes in Warmer Climates W. Lau et al. 10.3390/atmos14060995
41. The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming T. Andrews & M. Webb 10.1175/JCLI-D-17-0087.1
42. Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
43. Clouds and Convective Self‐Aggregation in a Multimodel Ensemble of Radiative‐Convective Equilibrium Simulations A. Wing et al. 10.1029/2020MS002138
44. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. 10.1029/2020JD033483
45. An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. 10.1007/s13131-021-1705-6
46. Last Glacial Maximum pattern effects reduce climate sensitivity estimates V. Cooper et al. 10.1126/sciadv.adk9461
47. The climate response to increased cloud liquid water over the Arctic in CESM1: a sensitivity study of Wegener–Bergeron–Findeisen process Y. Huang et al. 10.1007/s00382-021-05648-5
48. Investigating Parametric Dependence of Climate Feedbacks in the Atmospheric Component of CNRM‐CM6‐1 S. Peatier et al. 10.1029/2021GL095084
49. Estimating the Effective Radiative Forcing of Contrail Cirrus M. Bickel et al. 10.1175/JCLI-D-19-0467.1
50. Global Land Monsoon Precipitation Changes in CMIP6 Projections Z. Chen et al. 10.1029/2019GL086902
51. Causes of the weak emergent constraint on climate sensitivity at the Last Glacial Maximum M. Renoult et al. 10.5194/cp-19-323-2023
52. Climate Models Underestimate Dynamic Cloud Feedbacks in the Tropics P. Hill et al. 10.1029/2023GL104573
53. Comparison of Coupled Model Intercomparison Project Phases 5 and 6 in Simulating Diurnal Cloud Cycle Z. Jiang et al. 10.3390/atmos15030381
54. Thermodynamic Control on the Poleward Shift of the Extratropical Jet in Climate Change Simulations: The Role of Rising High Clouds and Their Radiative Effects Y. Li et al. 10.1175/JCLI-D-18-0417.1
55. Drier North American Monsoon in Contrast to Asian–African Monsoon under Global Warming C. He et al. 10.1175/JCLI-D-20-0189.1
56. Biased Estimates of Equilibrium Climate Sensitivity and Transient Climate Response Derived From Historical CMIP6 Simulations Y. Dong et al. 10.1029/2021GL095778
57. The utility of simulated ocean chlorophyll observations: a case study with the Chlorophyll Observation Simulator Package (version 1) in CESMv2.2 G. Clow et al. 10.5194/gmd-17-975-2024
58. The Influence of Atmospheric Cloud Radiative Effects on the Large-Scale Stratospheric Circulation Y. Li et al. 10.1175/JCLI-D-16-0643.1
59. Advanced cyberinfrastructure for intercomparison and validation of climate models Z. Sun et al. 10.1016/j.envsoft.2019.104559
60. Fast adjustment versus slow SST-mediated response of daily precipitation statistics to abrupt 4xCO2 H. Douville & A. John 10.1007/s00382-020-05522-w
61. What Are the Main Causes of Positive Subtropical Low Cloud Feedbacks in Climate Models? M. Webb et al. 10.1029/2023MS003716
62. Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5 T. Ogura et al. 10.5194/gmd-10-4647-2017
63. The Diversity of Cloud Responses to Twentieth Century Sea Surface Temperatures L. Silvers et al. 10.1002/2017GL075583
64. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber 10.1029/2022GL099463
65. Understanding changes in cloud simulations from E3SM version 1 to version 2 Y. Zhang et al. 10.5194/gmd-17-169-2024
66. Future changes in the wintertime ENSO-NAO teleconnection under greenhouse warming X. Geng et al. 10.1038/s41612-024-00627-z
67. Significant improvement of cloud representation in the global climate model MRI-ESM2 H. Kawai et al. 10.5194/gmd-12-2875-2019
68. A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar W. Lin et al. 10.3390/rs16030586
69. The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component S. YUKIMOTO et al. 10.2151/jmsj.2019-051
70. Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
71. The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2 D. Swales et al. 10.5194/gmd-11-77-2018
72. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO2 Y. Qin et al. 10.1029/2021JD035460
73. Seasonally and Regionally Dependent Shifts of the Atmospheric Westerly Jets under Global Warming W. Zhou et al. 10.1175/JCLI-D-21-0723.1
74. Robustness of the relationship between tropical high-cloud cover and large-scale circulations A. Noda et al. 10.1007/s00382-024-07441-6
75. Continuous Structural Parameterization: A Proposed Method for Representing Different Model Parameterizations Within One Structure Demonstrated for Atmospheric Convection F. Lambert et al. 10.1029/2020MS002085
76. Changes in Unevenness of Wet‐Day Precipitation Over China During 1961–2020 J. Han et al. 10.1029/2020JD034483
77. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. 10.3389/feart.2021.710036
78. A statistical and process-oriented evaluation of cloud radiative effects in high-resolution global models M. Thomas et al. 10.5194/gmd-12-1679-2019
79. The Relationship Between the Present‐Day Seasonal Cycles of Clouds in the Mid‐Latitudes and Cloud‐Radiative Feedback K. Furtado et al. 10.1029/2023GL103902
80. No Cookie for Climate Change A. Voigt & N. Albern 10.1029/2019GL084987
81. Quantifying the Influence of Cloud Radiative Feedbacks on Arctic Surface Warming Using Cloud Locking in an Earth System Model E. Middlemas et al. 10.1029/2020GL089207
82. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al. 10.1002/2017MS001115
83. The Potential of a Multidecade Spaceborne Lidar Record to Constrain Cloud Feedback H. Chepfer et al. 10.1002/2017JD027742
84. Hadley cell expansion in CMIP6 models K. Grise & S. Davis 10.5194/acp-20-5249-2020
85. Evaluating Cloud Feedback Components in Observations and Their Representation in Climate Models L. Chao et al. 10.1029/2023JD039427
86. Decoupling of Arctic variability from the North Pacific in a warmer climate S. Jahfer et al. 10.1038/s41612-023-00480-6
87. Model spread and progress in climate modelling J. Jebeile & A. Barberousse 10.1007/s13194-021-00387-0
88. Drivers of the enhanced decline of land near-surface relative humidity to abrupt 4xCO2 in CNRM-CM6-1 H. Douville et al. 10.1007/s00382-020-05351-x
89. The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models Y. Tsushima et al. 10.5194/gmd-10-4285-2017
90. The representation of dry-season low-level clouds over Western Equatorial Africa in reanalyses and historical CMIP6 simulations P. Camberlin et al. 10.1007/s00382-023-06714-w
91. A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse B. Wijesiri et al. 10.3390/su122410463
92. Changes in ENSO-driven Hadley circulation variability under global warming X. Xie et al. 10.1016/j.atmosres.2022.106220
93. Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments Y. Huang et al. 10.3390/atmos9010010
94. Cloud feedback mechanisms and their representation in global climate models P. Ceppi et al. 10.1002/wcc.465
95. Cloud Response to Arctic Sea Ice Loss and Implications for Future Feedback in the CESM1 Climate Model A. Morrison et al. 10.1029/2018JD029142
96. Using Radar Data to Calibrate a Stochastic Parametrization of Organized Convection E. Cardoso‐Bihlo et al. 10.1029/2018MS001537
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98. Time‐Evolving Radiative Feedbacks in the Historical Period P. Salvi et al. 10.1029/2023JD038984
99. Relative roles of surface temperature and climate forcing patterns in the inconstancy of radiative feedbacks A. Haugstad et al. 10.1002/2017GL074372
100. Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
101. Top‐of‐Atmosphere Radiation Budget and Cloud Radiative Effects Over the Tibetan Plateau and Adjacent Monsoon Regions From CMIP6 Simulations J. Li et al. 10.1029/2020JD034345
102. Application of the Pseudo‐Global Warming Approach in a Kilometer‐Resolution Climate Simulation of the Tropics C. Heim et al. 10.1029/2022JD037958
103. Projection of High Clouds and the Link to Ice Hydrometeors: An Approach Using Long-Term Global Cloud System–Resolving Simulations Y. Chen et al. 10.1175/JCLI-D-21-0150.1
104. Upper Bounds of Maximum Land Surface Temperatures in a Warming Climate and Limits to Plant Growth M. Aminzadeh et al. 10.1029/2023EF003755
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108. Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. 10.5194/acp-22-8457-2022
109. The influence of direct radiative forcing versus indirect sea surface temperature warming on southern hemisphere subtropical anticyclones under global warming A. Fahad & N. Burls 10.1007/s00382-021-06006-1
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114. Clouds and Radiation in a Mock‐Walker Circulation L. Silvers & T. Robinson 10.1029/2020MS002196
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116. Underestimated Passive Volcanic Sulfur Degassing Implies Overestimated Anthropogenic Aerosol Forcing U. Jongebloed et al. 10.1029/2022GL102061
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118. Precipitation and the Associated Moist Static Energy Budget off Western Australia in Conjunction with Ningaloo Niño T. Zheng et al. 10.3389/feart.2020.597915
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123. Sensitivities of Simulated Satellite Views of Clouds to Subgrid‐Scale Overlap and Condensate Heterogeneity B. Hillman et al. 10.1029/2017JD027680
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127. Assessment of FY-4A and Himawari-8 Cloud Top Height Retrieval through Comparison with Ground-Based Millimeter Radar at Sites in Tibet and Beijing B. Liu et al. 10.1007/s00376-021-0337-2
128. Analysis of the global atmospheric background sulfur budget in a multi-model framework C. Brodowsky et al. 10.5194/acp-24-5513-2024
129. Clearing clouds of uncertainty M. Zelinka et al. 10.1038/nclimate3402
130. Explicitly Resolved Cloud Feedbacks in the Radiative‐Convective Equilibrium Model Intercomparison Project C. Stauffer & A. Wing 10.1029/2023MS003738
131. Double and Single ITCZs with and without Clouds M. Popp & L. Silvers 10.1175/JCLI-D-17-0062.1
132. Strong Dependence of Atmospheric Feedbacks on Mixed‐Phase Microphysics and Aerosol‐Cloud Interactions in HadGEM3 A. Bodas‐Salcedo et al. 10.1029/2019MS001688
133. Fast‐Forward to Perturbed Equilibrium Climate D. Saint‐Martin et al. 10.1029/2019GL083031
134. Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. 10.5194/acp-24-5907-2024
135. Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 D. Waliser et al. 10.5194/gmd-13-2945-2020
136. Forced summer stationary waves: the opposing effects of direct radiative forcing and sea surface warming H. Baker et al. 10.1007/s00382-019-04786-1
137. Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes J. Kretzschmar et al. 10.5194/acp-19-10571-2019
138. Diffuse Radiation Forcing Constraints on Gross Primary Productivity and Global Terrestrial Evapotranspiration T. Chakraborty et al. 10.1029/2022EF002805
139. Monsoons, ITCZs, and the Concept of the Global Monsoon R. Geen et al. 10.1029/2020RG000700
140. Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
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145. Updated observations of clouds by MODIS for global model assessment R. Pincus et al. 10.5194/essd-15-2483-2023
146. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. 10.1029/2019MS001866
147. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
148. Causes of Reduced Climate Sensitivity in E3SM From Version 1 to Version 2 Y. Qin et al. 10.1029/2023MS003875
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152. Analysis of Short-term Cloud Feedback in East Asia Using Cloud Radiative Kernels F. Wang et al. 10.1007/s00376-020-9281-9
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155. State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. 10.1126/science.abq6872
156. Characteristics analysis of drought at multiple spatiotemporal scale and assessment of CMIP6 performance over the Huaihe River Basin X. Li et al. 10.1016/j.ejrh.2022.101103
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158. Accounting for Changing Temperature Patterns Increases Historical Estimates of Climate Sensitivity T. Andrews et al. 10.1029/2018GL078887
159. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
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164. Changes in the tropical upper-tropospheric zonal momentum balance due to global warming A. Thakur & J. Sukhatme 10.5194/wcd-5-839-2024
165. The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
166. Diagnosing Transient Response to CO2 Forcing in Coupled Atmosphere‐Ocean Model Experiments Using a Climate Model Emulator J. Tsutsui 10.1029/2019GL085844
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168. Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. 10.5194/acp-22-14603-2022
169. Clear-sky control of anvils in response to increased CO2 or surface warming or volcanic eruptions M. Saint-Lu et al. 10.1038/s41612-022-00304-z
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