176 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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4. The Regional Aerosol Model Intercomparison Project (RAMIP) L. Wilcox et al. 10.5194/gmd-16-4451-2023
5. Diffuse Radiation Forcing Constraints on Gross Primary Productivity and Global Terrestrial Evapotranspiration T. Chakraborty et al. 10.1029/2022EF002805
6. Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. 10.1088/1748-9326/ac0748
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
11. Effective radiative forcing and adjustments in CMIP6 models C. Smith et al. 10.5194/acp-20-9591-2020
12. Historical total ozone radiative forcing derived from CMIP6 simulations R. Skeie et al. 10.1038/s41612-020-00131-0
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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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17. A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events J. Akinyoola et al. 10.1007/s41810-024-00223-x
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19. Potential for bias in effective climate sensitivity from state-dependent energetic imbalance B. Sanderson & M. Rugenstein 10.5194/esd-13-1715-2022
20. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6 N. Gillett et al. 10.5194/gmd-9-3685-2016
21. 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
22. Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. 10.5194/gmd-13-2149-2020
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24. ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections D. Watson‐Parris et al. 10.1029/2021MS002954
25. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect S. Fiedler et al. 10.5194/gmd-12-989-2019
26. Exceptional stratospheric contribution to human fingerprints on atmospheric temperature B. Santer et al. 10.1073/pnas.2300758120
27. An intrinsic low-frequency atmospheric mode of the Indonesian-Australian summer monsoon Y. Liang et al. 10.1038/s41612-024-00792-1
28. Antarctic Ice‐Sheet Meltwater Reduces Transient Warming and Climate Sensitivity Through the Sea‐Surface Temperature Pattern Effect Y. Dong et al. 10.1029/2022GL101249
29. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. 10.1029/2020JD033483
30. 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
31. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. 10.1029/2019MS001866
32. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
33. On the Causal Relationship Between the Moist Diabatic Circulation and Cloud Rapid Adjustment to Increasing CO2 T. Dinh & S. Fueglistaler 10.1029/2019MS001853
34. Efficacy of climate forcings in transient CMIP6 simulations G. Myhre et al. 10.3389/fclim.2024.1397358
35. Global warming in the pipeline J. Hansen et al. 10.1093/oxfclm/kgad008
36. The Climate Response to the Mt. Pinatubo Eruption Does Not Constrain Climate Sensitivity A. Pauling et al. 10.1029/2023GL102946
37. Study on the change of global ecological distribution of Nicotiana tabacum L. based on MaxEnt model L. Jia et al. 10.3389/fpls.2024.1371998
38. Tropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone A. Match & E. Gerber 10.1029/2022GL099463
39. Fingerprints of external forcings on Sahel rainfall: aerosols, greenhouse gases, and model-observation discrepancies K. Marvel et al. 10.1088/1748-9326/ab858e
40. Twentieth-century hydroclimate changes consistent with human influence K. Marvel et al. 10.1038/s41586-019-1149-8
41. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. 10.3389/feart.2021.710036
42. A Strong Anthropogenic Black Carbon Forcing Constrained by Pollution Trends Over China Y. Liu et al. 10.1029/2022GL098965
43. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. 10.1029/2019MS001946
44. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. 10.3390/atmos11101115
45. Strong Local Evaporative Cooling Over Land Due to Atmospheric Aerosols T. Chakraborty et al. 10.1029/2021MS002491
46. 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
47. The aerosol pathway is crucial for observationally constraining climate sensitivity and anthropogenic forcing R. Skeie et al. 10.5194/esd-15-1435-2024
48. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO2 Y. Qin et al. 10.1029/2021JD035460
49. 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
50. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
51. Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models R. Pincus et al. 10.1029/2019MS001621
52. How Does Radiation Code Accuracy Matter? Y. Huang & Y. Wang 10.1029/2019JD030296
53. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. 10.1029/2020GL088295
54. 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
55. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. 10.1007/s00376-020-0151-2
56. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. 10.1038/s41612-021-00203-9
57. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
58. Quantifying stochastic uncertainty in detection time of human-caused climate signals B. Santer et al. 10.1073/pnas.1904586116
59. The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere C. Smith et al. 10.5194/essd-12-2157-2020
60. 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
61. Global-scale future climate projections from ACCESS model contributions to CMIP6 S. Schroeter et al. 10.1071/ES23029
62. 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
63. Comment on “Rethinking the Lower Bound on Aerosol Radiative Forcing” J. Kretzschmar et al. 10.1175/JCLI-D-16-0668.1
64. Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
65. Greenhouse Gas Forcing and Climate Feedback Signatures Identified in Hyperspectral Infrared Satellite Observations S. Raghuraman et al. 10.1029/2023GL103947
66. 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
67. 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
68. Comparison of methods to estimate aerosol effective radiative forcings in climate models M. Zelinka et al. 10.5194/acp-23-8879-2023
69. Last Glacial Maximum pattern effects reduce climate sensitivity estimates V. Cooper et al. 10.1126/sciadv.adk9461
70. Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model P. Braconnot et al. 10.5194/cp-17-1091-2021
71. The impact of coupled 3D shortwave radiative transfer on surface radiation and cumulus clouds over land M. Tijhuis et al. 10.5194/acp-24-10567-2024
72. 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
73. 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
74. 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
75. Reducing uncertainties in climate models B. Soden et al. 10.1126/science.aau1864
76. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. 10.1029/2019GL085601
77. 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
78. Elevation-dependent warming: observations, models, and energetic mechanisms M. Byrne et al. 10.5194/wcd-5-763-2024
79. Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. 10.1029/2020JD033622
80. 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
81. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. 10.1029/2019GL085806
82. Impacts of the Unforced Pattern Effect on the Cloud Feedback in CERES Observations and Climate Models L. Chao et al. 10.1029/2021GL096299
83. Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng 10.3390/atmos15010079
84. Time‐Evolving Radiative Feedbacks in the Historical Period P. Salvi et al. 10.1029/2023JD038984
85. 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
86. Biased Estimates of Equilibrium Climate Sensitivity and Transient Climate Response Derived From Historical CMIP6 Simulations Y. Dong et al. 10.1029/2021GL095778
87. Rapidly evolving aerosol emissions are a dangerous omission from near-term climate risk assessments G. Persad et al. 10.1088/2752-5295/acd6af
88. 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
89. 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
90. 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
91. The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. 10.1029/2022MS003156
92. 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
93. 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
94. The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP C. Jones et al. 10.1029/2020GL091883
95. Effective Radiative Forcings Due To Anthropogenic Emission Changes Under Covid‐19 and Post‐Pandemic Recovery Scenarios X. Yu et al. 10.1029/2021JD036251
96. The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan M. Kageyama et al. 10.5194/gmd-11-1033-2018
97. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. 10.1029/2021JD035198
98. 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
99. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. 10.5194/acp-20-16023-2020
100. Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
101. ACCESS datasets for CMIP6: methodology and idealised experiments C. Mackallah et al. 10.1071/ES21031
102. 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
103. 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
104. Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model T. Lurton et al. 10.1029/2019MS001940
105. Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. 10.1007/s00382-021-06030-1
106. Interpreting Differences in Radiative Feedbacks From Aerosols Versus Greenhouse Gases P. Salvi et al. 10.1029/2022GL097766
107. State dependence of CO 2 forcing and its implications for climate sensitivity H. He et al. 10.1126/science.abq6872
108. Increasing aerosol direct effect despite declining global emissions in MPI-ESM1.2 A. Hermant et al. 10.5194/acp-24-10707-2024
109. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster 10.1029/2021GL094948
110. Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. 10.1029/2023GL104848
111. Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models A. Kalisoras et al. 10.5194/acp-24-7837-2024
112. Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. 10.1029/2020JD033880
113. 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
114. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. 10.5194/acp-21-853-2021
115. 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
116. 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
117. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
118. Significance of the organic aerosol driven climate feedback in the boreal area T. Yli-Juuti et al. 10.1038/s41467-021-25850-7
119. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein 10.1029/2023GL105795
120. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. 10.5194/acp-24-533-2024
121. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs M. Zhao et al. 10.1002/2017MS001208
122. Variability in Biomass Burning Emissions Weakens Aerosol Forcing Due To Nonlinear Aerosol‐Cloud Interactions K. Heyblom et al. 10.1029/2022GL102685
123. On the Linearity of External Forcing Response in Solar Geoengineering Experiments J. Virgin & C. Fletcher 10.1029/2022GL100200
124. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. 10.1029/2023GL102916
125. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
126. 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
127. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
128. Polar amplification dominated by local forcing and feedbacks M. Stuecker et al. 10.1038/s41558-018-0339-y
129. 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
130. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. 10.1029/2020GL088063
131. Detection and attribution of climate change: A deep learning and variational approach C. Bône et al. 10.1017/eds.2022.17
132. 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
133. Present-day methane shortwave absorption mutes surface warming relative to preindustrial conditions R. Allen et al. 10.5194/acp-24-11207-2024
134. The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
135. 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
136. 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
137. Predicting atmospheric optical properties for radiative transfer computations using neural networks M. Veerman et al. 10.1098/rsta.2020.0095
138. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
139. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al. 10.5194/gmd-17-8141-2024
140. Forcing and impact of the Northern Hemisphere continental snow cover in 1979–2014 G. Gastineau et al. 10.5194/tc-17-2157-2023
141. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. 10.3390/atmos12030406
142. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
143. 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
144. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
145. Climate Sensitivity Increases Under Higher CO2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
146. 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
147. Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect‐Model Test of the Method Q. Wu & J. Gregory 10.1029/2022MS002999
148. Updating the radiation infrastructure in MESSy (based on MESSy version 2.55) M. Nützel et al. 10.5194/gmd-17-5821-2024
149. Radiative Forcing of Climate: The Historical Evolution of the Radiative Forcing Concept, the Forcing Agents and their Quantification, and Applications V. Ramaswamy et al. 10.1175/AMSMONOGRAPHS-D-19-0001.1
150. The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. 10.5194/gmd-16-5427-2023
151. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 W. Collins et al. 10.5194/gmd-10-585-2017
152. Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden 10.1103/RevModPhys.93.045002
153. 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
154. 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
155. 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
156. Estimating Radiative Forcing With a Nonconstant Feedback Parameter and Linear Response H. Fredriksen et al. 10.1029/2020JD034145
157. Aerosol and Solar Irradiance Effects on Decadal Climate Variability and Predictability D. Zanchettin 10.1007/s40641-017-0065-y
158. Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change L. Jackson et al. 10.1029/2022GL098808
159. 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
160. 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
161. Energy budget constraints on historical radiative forcing T. Andrews & P. Forster 10.1038/s41558-020-0696-1
162. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. 10.1071/ES19035
163. Impacts of improved horizontal resolutions in the simulations of mean and extreme precipitation using CMIP6 HighResMIP models over West Africa F. Ajibola & S. Afolayan 10.1007/s10661-024-12492-7
164. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
165. U.K. Community Earth System Modeling for CMIP6 C. Senior et al. 10.1029/2019MS002004
166. 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
167. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. 10.5194/gmd-9-3461-2016
168. 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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170. Terrestrial amplification of past, present, and future climate change A. Seltzer et al. 10.1126/sciadv.adf8119
171. Recommendations for diagnosing effective radiative forcing from climate models for CMIP6 P. Forster et al. 10.1002/2016JD025320
172. 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
173. Time-variations of the climate feedback parameter λ are associated with the Pacific Decadal Oscillation B. Meyssignac et al. 10.1038/s43247-023-00887-2
174. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
175. 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
176. Quantification of temperature response to CO2 forcing in atmosphere–ocean general circulation models J. Tsutsui 10.1007/s10584-016-1832-9