166 citations as recorded by crossref.

1. Origins of a Relatively Tight Lower Bound on Anthropogenic Aerosol Radiative Forcing from Bayesian Analysis of Historical Observations A. Albright et al. 10.1175/JCLI-D-21-0167.1
2. A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error A. Jones et al. 10.1002/2017GL075933
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5. Diffuse Radiation Forcing Constraints on Gross Primary Productivity and Global Terrestrial Evapotranspiration T. Chakraborty et al. 10.1029/2022EF002805
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7. An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison M. Zhang et al. 10.5194/gmd-14-3079-2021
8. An Assessment of Short-term Global and East Asian Local Climate Feedbacks using New Radiative Kernels F. Wang et al. 10.1007/s00382-022-06369-z
9. The Impact of Radiative Transfer at Reduced Spectral Resolution in Large‐Eddy Simulations of Convective Clouds M. Veerman et al. 10.1029/2023MS003699
10. Future greening of the Earth may not be as large as previously predicted Q. Zhao et al. 10.1016/j.agrformet.2020.108111
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15. Strong remote control of future equatorial warming by off-equatorial forcing M. Stuecker et al. 10.1038/s41558-019-0667-6
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19. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6 N. Gillett et al. 10.5194/gmd-9-3685-2016
20. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies M. Zhao et al. 10.1002/2017MS001209
21. Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. 10.5194/gmd-13-2149-2020
22. Climate and air quality impacts due to mitigation of non-methane near-term climate forcers R. Allen et al. 10.5194/acp-20-9641-2020
23. ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections D. Watson‐Parris et al. 10.1029/2021MS002954
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25. Exceptional stratospheric contribution to human fingerprints on atmospheric temperature B. Santer et al. 10.1073/pnas.2300758120
26. Antarctic Ice‐Sheet Meltwater Reduces Transient Warming and Climate Sensitivity Through the Sea‐Surface Temperature Pattern Effect Y. Dong et al. 10.1029/2022GL101249
27. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. 10.1029/2020JD033483
28. Weak Hadley cell intensity changes due to compensating effects of tropical and extratropical radiative forcing D. Kim et al. 10.1038/s41612-022-00287-x
29. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. 10.1029/2019MS001866
30. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
31. On the Causal Relationship Between the Moist Diabatic Circulation and Cloud Rapid Adjustment to Increasing CO2 T. Dinh & S. Fueglistaler 10.1029/2019MS001853
32. Efficacy of climate forcings in transient CMIP6 simulations G. Myhre et al. 10.3389/fclim.2024.1397358
33. Global warming in the pipeline J. Hansen et al. 10.1093/oxfclm/kgad008
34. The Climate Response to the Mt. Pinatubo Eruption Does Not Constrain Climate Sensitivity A. Pauling et al. 10.1029/2023GL102946
35. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber 10.1029/2022GL099463
36. Fingerprints of external forcings on Sahel rainfall: aerosols, greenhouse gases, and model-observation discrepancies K. Marvel et al. 10.1088/1748-9326/ab858e
37. Twentieth-century hydroclimate changes consistent with human influence K. Marvel et al. 10.1038/s41586-019-1149-8
38. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. 10.3389/feart.2021.710036
39. A Strong Anthropogenic Black Carbon Forcing Constrained by Pollution Trends Over China Y. Liu et al. 10.1029/2022GL098965
40. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. 10.1029/2019MS001946
41. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. 10.3390/atmos11101115
42. Strong Local Evaporative Cooling Over Land Due to Atmospheric Aerosols T. Chakraborty et al. 10.1029/2021MS002491
43. Large Differences in Diffuse Solar Radiation Among Current-Generation Reanalysis and Satellite-Derived Products T. Chakraborty & X. Lee 10.1175/JCLI-D-20-0979.1
44. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO2 Y. Qin et al. 10.1029/2021JD035460
45. Impacts of reductions in non-methane short-lived climate forcers on future climate extremes and the resulting population exposure risks in eastern and southern Asia Y. Li et al. 10.5194/acp-23-2499-2023
46. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
47. Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models R. Pincus et al. 10.1029/2019MS001621
48. How Does Radiation Code Accuracy Matter? Y. Huang & Y. Wang 10.1029/2019JD030296
49. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. 10.1029/2020GL088295
50. 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
51. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. 10.1007/s00376-020-0151-2
52. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. 10.1038/s41612-021-00203-9
53. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
54. Quantifying stochastic uncertainty in detection time of human-caused climate signals B. Santer et al. 10.1073/pnas.1904586116
55. The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere C. Smith et al. 10.5194/essd-12-2157-2020
56. Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) R. Hogan & M. Matricardi 10.5194/gmd-13-6501-2020
57. Global-scale future climate projections from ACCESS model contributions to CMIP6 S. Schroeter et al. 10.1071/ES23029
58. An Investigation Into Biases in Instantaneous Aerosol Radiative Effects Calculated by Shortwave Parameterizations in Two Earth System Models S. Freidenreich et al. 10.1029/2019JD032323
59. Comment on “Rethinking the Lower Bound on Aerosol Radiative Forcing” J. Kretzschmar et al. 10.1175/JCLI-D-16-0668.1
60. Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
61. Greenhouse Gas Forcing and Climate Feedback Signatures Identified in Hyperspectral Infrared Satellite Observations S. Raghuraman et al. 10.1029/2023GL103947
62. 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
63. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. 10.5194/acp-22-12167-2022
64. Comparison of methods to estimate aerosol effective radiative forcings in climate models M. Zelinka et al. 10.5194/acp-23-8879-2023
65. Last Glacial Maximum pattern effects reduce climate sensitivity estimates V. Cooper et al. 10.1126/sciadv.adk9461
66. Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model P. Braconnot et al. 10.5194/cp-17-1091-2021
67. The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments M. Kageyama et al. 10.5194/gmd-10-4035-2017
68. Observational Constraint on the Climate Sensitivity to Atmospheric CO2 Concentrations Changes Derived from the 1971–2017 Global Energy Budget J. Chenal et al. 10.1175/JCLI-D-21-0565.1
69. Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity K. Armour et al. 10.1073/pnas.2312093121
70. Reducing uncertainties in climate models B. Soden et al. 10.1126/science.aau1864
71. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. 10.1029/2019GL085601
72. Understanding the impacts of climate change and socio-economic development through food-energy-water nexus: A case study of mekong river delta K. Wang et al. 10.1016/j.resconrec.2020.105390
73. Elevation-dependent warming: observations, models, and energetic mechanisms M. Byrne et al. 10.5194/wcd-5-763-2024
74. Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. 10.1029/2020JD033622
75. The Development of an Atmospheric Aerosol/Chemistry‐Climate Model, BCC_AGCM_CUACE2.0, and Simulated Effective Radiative Forcing of Nitrate Aerosols Q. An et al. 10.1029/2019MS001622
76. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. 10.1029/2019GL085806
77. Impacts of the Unforced Pattern Effect on the Cloud Feedback in CERES Observations and Climate Models L. Chao et al. 10.1029/2021GL096299
78. Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng 10.3390/atmos15010079
79. Time‐Evolving Radiative Feedbacks in the Historical Period P. Salvi et al. 10.1029/2023JD038984
80. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
81. Biased Estimates of Equilibrium Climate Sensitivity and Transient Climate Response Derived From Historical CMIP6 Simulations Y. Dong et al. 10.1029/2021GL095778
82. Rapidly evolving aerosol emissions are a dangerous omission from near-term climate risk assessments G. Persad et al. 10.1088/2752-5295/acd6af
83. Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery S. Fiedler et al. 10.1016/j.atmosres.2021.105866
84. Computation of longwave radiative flux and vertical heating rate with 4A-Flux v1.0 as an integral part of the radiative transfer code 4A/OP v1.5 Y. Tellier et al. 10.5194/gmd-15-5211-2022
85. Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System: RRTMGP-NN 2.0 P. Ukkonen & R. Hogan 10.5194/gmd-16-3241-2023
86. The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. 10.1029/2022MS003156
87. 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
88. Global and Arctic effective radiative forcing of anthropogenic gases and aerosols in MRI-ESM2.0 N. Oshima et al. 10.1186/s40645-020-00348-w
89. The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP C. Jones et al. 10.1029/2020GL091883
90. Effective Radiative Forcings Due To Anthropogenic Emission Changes Under Covid‐19 and Post‐Pandemic Recovery Scenarios X. Yu et al. 10.1029/2021JD036251
91. The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan M. Kageyama et al. 10.5194/gmd-11-1033-2018
92. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. 10.1029/2021JD035198
93. Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al. 10.5194/acp-19-15415-2019
94. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. 10.5194/acp-20-16023-2020
95. Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
96. ACCESS datasets for CMIP6: methodology and idealised experiments C. Mackallah et al. 10.1071/ES21031
97. The relative importance among anthropogenic forcings of land use/land cover change in affecting temperature extremes L. Chen & P. Dirmeyer 10.1007/s00382-018-4250-z
98. Model for Estimating the Transient Response of the Global Mean Surface Temperature to Changes in the Concentrations of Atmospheric Aerosols and Radiatively Active Gases S. Soldatenko & R. Yusupov 10.1134/S1024856019050154
99. Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model T. Lurton et al. 10.1029/2019MS001940
100. Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. 10.1007/s00382-021-06030-1
101. Interpreting Differences in Radiative Feedbacks From Aerosols Versus Greenhouse Gases P. Salvi et al. 10.1029/2022GL097766
102. State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. 10.1126/science.abq6872
103. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster 10.1029/2021GL094948
104. Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. 10.1029/2023GL104848
105. Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. 10.1029/2020JD033880
106. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. 10.5194/gmd-14-5637-2021
107. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. 10.5194/acp-21-853-2021
108. UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
109. MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6 B. Stevens et al. 10.5194/gmd-10-433-2017
110. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
111. Significance of the organic aerosol driven climate feedback in the boreal area T. Yli-Juuti et al. 10.1038/s41467-021-25850-7
112. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein 10.1029/2023GL105795
113. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. 10.5194/acp-24-533-2024
114. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs M. Zhao et al. 10.1002/2017MS001208
115. Variability in Biomass Burning Emissions Weakens Aerosol Forcing Due To Nonlinear Aerosol‐Cloud Interactions K. Heyblom et al. 10.1029/2022GL102685
116. On the Linearity of External Forcing Response in Solar Geoengineering Experiments J. Virgin & C. Fletcher 10.1029/2022GL100200
117. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. 10.1029/2023GL102916
118. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
119. 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
120. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
121. Polar amplification dominated by local forcing and feedbacks M. Stuecker et al. 10.1038/s41558-018-0339-y
122. Apportionment of the Pre‐Industrial to Present‐Day Climate Forcing by Methane Using UKESM1: The Role of the Cloud Radiative Effect F. O’Connor et al. 10.1029/2022MS002991
123. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. 10.1029/2020GL088063
124. Detection and attribution of climate change: A deep learning and variational approach C. Bône et al. 10.1017/eds.2022.17
125. A New Halocarbon Absorption Model Based on HITRAN Cross‐Section Data and New Estimates of Halocarbon Instantaneous Clear‐Sky Radiative Forcing S. Buehler et al. 10.1029/2022MS003239
126. The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
127. Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models Y. Dong et al. 10.1175/JCLI-D-19-1011.1
128. Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble V. Capistrano et al. 10.5194/gmd-13-2277-2020
129. Predicting atmospheric optical properties for radiative transfer computations using neural networks M. Veerman et al. 10.1098/rsta.2020.0095
130. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
131. Forcing and impact of the Northern Hemisphere continental snow cover in 1979–2014 G. Gastineau et al. 10.5194/tc-17-2157-2023
132. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. 10.3390/atmos12030406
133. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
134. Evaluating Climate Model Simulations of the Radiative Forcing and Radiative Response at Earth’s Surface R. Kramer et al. 10.1175/JCLI-D-18-0137.1
135. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
136. Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
137. Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. 10.5194/gmd-14-3683-2021
138. Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect‐Model Test of the Method Q. Wu & J. Gregory 10.1029/2022MS002999
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140. The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. 10.5194/gmd-16-5427-2023
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142. Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden 10.1103/RevModPhys.93.045002
143. Effective Radiative Forcing of the Internally Mixed Sulfate and Black Carbon Aerosol in the GFDL AM4 Model: The Role Played by Other Aerosol Species G. Govardhan et al. 10.1029/2023JD038481
144. Strong aerosol cooling alone does not explain cold-biased mid-century temperatures in CMIP6 models C. Flynn et al. 10.5194/acp-23-15121-2023
145. Impact of a New Radiation Scheme on Simulated Climate in the Global–Regional Integrated SysTem Model under Varying Physical Parameterization Schemes C. Yuan et al. 10.3390/atmos15040501
146. Estimating Radiative Forcing With a Nonconstant Feedback Parameter and Linear Response H. Fredriksen et al. 10.1029/2020JD034145
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148. Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change L. Jackson et al. 10.1029/2022GL098808
149. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. 10.5194/acp-20-5657-2020
150. The Palaeoclimate and Terrestrial Exoplanet Radiative Transfer Model Intercomparison Project (PALAEOTRIP): experimental design and protocols C. Goldblatt et al. 10.5194/gmd-10-3931-2017
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152. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. 10.1071/ES19035
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156. Updated Simulation of Tropospheric Ozone and Its Radiative Forcing over the Globe and China Based on a Newly Developed Chemistry-Climate Model A. Qi et al. 10.1007/s13351-022-1187-2
157. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. 10.5194/gmd-9-3461-2016
158. Fast and slow shifts of the zonal‐mean intertropical convergence zone in response to an idealized anthropogenic aerosol A. Voigt et al. 10.1002/2016MS000902
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160. Terrestrial amplification of past, present, and future climate change A. Seltzer et al. 10.1126/sciadv.adf8119
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162. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 T. Mauritsen et al. 10.1029/2018MS001400
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164. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
165. The Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP): experimental design and forcing input data for CMIP6 D. Zanchettin et al. 10.5194/gmd-9-2701-2016
166. Quantification of temperature response to CO2 forcing in atmosphere–ocean general circulation models J. Tsutsui 10.1007/s10584-016-1832-9