111 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
3. Anthropogenic forcing and response yield observed positive trend in Earth’s energy imbalance S. Raghuraman et al. 10.1038/s41467-021-24544-4
4. Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. 10.1088/1748-9326/ac0748
5. An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison M. Zhang et al. 10.5194/gmd-14-3079-2021
6. Future greening of the Earth may not be as large as previously predicted Q. Zhao et al. 10.1016/j.agrformet.2020.108111
7. Effective radiative forcing and adjustments in CMIP6 models C. Smith et al. 10.5194/acp-20-9591-2020
8. Historical total ozone radiative forcing derived from CMIP6 simulations R. Skeie et al. 10.1038/s41612-020-00131-0
9. Warmer climate projections in EC-Earth3-Veg: the role of changes in the greenhouse gas concentrations from CMIP5 to CMIP6 K. Wyser et al. 10.1088/1748-9326/ab81c2
10. Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate R. Séférian et al. 10.1029/2019MS001791
11. 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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13. The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6 N. Gillett et al. 10.5194/gmd-9-3685-2016
14. 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
15. Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6) C. Pascoe et al. 10.5194/gmd-13-2149-2020
16. 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
17. 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
18. Benchmark Calculations of Radiative Forcing by Greenhouse Gases R. Pincus et al. 10.1029/2020JD033483
19. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1 T. Andrews et al. 10.1029/2019MS001866
20. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
21. On the Causal Relationship Between the Moist Diabatic Circulation and Cloud Rapid Adjustment to Increasing CO 2 T. Dinh & S. Fueglistaler 10.1029/2019MS001853
22. Accelerating Radiation Computations for Dynamical Models With Targeted Machine Learning and Code Optimization P. Ukkonen et al. 10.1029/2020MS002226
23. Fingerprints of external forcings on Sahel rainfall: aerosols, greenhouse gases, and model-observation discrepancies K. Marvel et al. 10.1088/1748-9326/ab858e
24. Twentieth-century hydroclimate changes consistent with human influence K. Marvel et al. 10.1038/s41586-019-1149-8
25. Contributions to Polar Amplification in CMIP5 and CMIP6 Models L. Hahn et al. 10.3389/feart.2021.710036
26. Implementation of U.K. Earth System Models for CMIP6 A. Sellar et al. 10.1029/2019MS001946
27. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. 10.3390/atmos11101115
28. CMIP6 Historical Simulations (1850–2014) With GISS‐E2.1 R. Miller et al. 10.1029/2019MS002034
29. Strong Local Evaporative Cooling Over Land Due to Atmospheric Aerosols T. Chakraborty et al. 10.1029/2021MS002491
30. On the Correspondence Between Atmosphere‐Only and Coupled Simulations for Radiative Feedbacks and Forcing From CO 2 Y. Qin et al. 10.1029/2021JD035460
31. Aquaplanets as a Framework for Examination of Aerosol Effects B. Medeiros 10.1029/2019MS001874
32. ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
33. Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models R. Pincus et al. 10.1029/2019MS001621
34. How Does Radiation Code Accuracy Matter? Y. Huang & Y. Wang 10.1029/2019JD030296
35. Reappraisal of the Climate Impacts of Ozone‐Depleting Substances O. Morgenstern et al. 10.1029/2020GL088295
36. 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
37. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. 10.1007/s00376-020-0151-2
38. Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. 10.1038/s41612-021-00203-9
39. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
40. Quantifying stochastic uncertainty in detection time of human-caused climate signals B. Santer et al. 10.1073/pnas.1904586116
41. The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere C. Smith et al. 10.5194/essd-12-2157-2020
42. 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
43. 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
44. Comment on “Rethinking the Lower Bound on Aerosol Radiative Forcing” J. Kretzschmar et al. 10.1175/JCLI-D-16-0668.1
45. Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
46. Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model P. Braconnot et al. 10.5194/cp-17-1091-2021
47. 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
48. Reducing uncertainties in climate models B. Soden et al. 10.1126/science.aau1864
49. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. 10.1029/2019GL085601
50. 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
51. Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. 10.1029/2020JD033622
52. 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
53. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. 10.1029/2019GL085806
54. Impacts of the Unforced Pattern Effect on the Cloud Feedback in CERES Observations and Climate Models L. Chao et al. 10.1029/2021GL096299
55. Biased Estimates of Equilibrium Climate Sensitivity and Transient Climate Response Derived From Historical CMIP6 Simulations Y. Dong et al. 10.1029/2021GL095778
56. 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
57. 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
58. 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
59. The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP C. Jones et al. 10.1029/2020GL091883
60. The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan M. Kageyama et al. 10.5194/gmd-11-1033-2018
61. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. 10.1029/2021JD035198
62. 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
63. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. 10.5194/acp-20-16023-2020
64. 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
65. 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
66. Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model T. Lurton et al. 10.1029/2019MS001940
67. Climate change response in wintertime widespread fog conditions over the Indo-Gangetic Plains D. Hingmire et al. 10.1007/s00382-021-06030-1
68. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster 10.1029/2021GL094948
69. Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. 10.1029/2020JD033880
70. 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
71. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison G. Thornhill et al. 10.5194/acp-21-853-2021
72. 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
73. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
74. Significance of the organic aerosol driven climate feedback in the boreal area T. Yli-Juuti et al. 10.1038/s41467-021-25850-7
75. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs M. Zhao et al. 10.1002/2017MS001208
76. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
77. 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
78. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
79. Polar amplification dominated by local forcing and feedbacks M. Stuecker et al. 10.1038/s41558-018-0339-y
80. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 R. Zhang et al. 10.1029/2020GL088063
81. The GFDL Global Atmospheric Chemistry‐Climate Model AM4.1: Model Description and Simulation Characteristics L. Horowitz et al. 10.1029/2019MS002032
82. The CMIP6 Data Request (DREQ, version 01.00.31) M. Juckes et al. 10.5194/gmd-13-201-2020
83. 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
84. 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
85. Predicting atmospheric optical properties for radiative transfer computations using neural networks M. Veerman et al. 10.1098/rsta.2020.0095
86. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
87. Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. 10.3390/atmos12030406
88. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
89. 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
90. The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 M. Webb et al. 10.5194/gmd-10-359-2017
91. Climate Sensitivity Increases Under Higher CO 2 Levels Due to Feedback Temperature Dependence J. Bloch‐Johnson et al. 10.1029/2020GL089074
92. 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
93. 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
94. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 W. Collins et al. 10.5194/gmd-10-585-2017
95. Water vapor and lapse rate feedbacks in the climate system R. Colman & B. Soden 10.1103/RevModPhys.93.045002
96. Estimating Radiative Forcing With a Nonconstant Feedback Parameter and Linear Response H. Fredriksen et al. 10.1029/2020JD034145
97. Aerosol and Solar Irradiance Effects on Decadal Climate Variability and Predictability D. Zanchettin 10.1007/s40641-017-0065-y
98. 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
99. 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
100. Energy budget constraints on historical radiative forcing T. Andrews & P. Forster 10.1038/s41558-020-0696-1
101. The Australian Earth System Model: ACCESS-ESM1.5 T. Ziehn et al. 10.1071/ES19035
102. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
103. U.K. Community Earth System Modeling for CMIP6 C. Senior et al. 10.1029/2019MS002004
104. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 B. O'Neill et al. 10.5194/gmd-9-3461-2016
105. 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
106. On the sensitivity of anthropogenic aerosol forcing to model‐internal variability and parameterizing a T womey effect S. Fiedler et al. 10.1002/2017MS000932
107. Recommendations for diagnosing effective radiative forcing from climate models for CMIP6 P. Forster et al. 10.1002/2016JD025320
108. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO 2 T. Mauritsen et al. 10.1029/2018MS001400
109. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
110. 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
111. Quantification of temperature response to CO2 forcing in atmosphere–ocean general circulation models J. Tsutsui 10.1007/s10584-016-1832-9