80 citations as recorded by crossref.

1. Ten new insights in climate science 2020 – a horizon scan E. Pihl et al. 10.1017/sus.2021.2
2. Minimal CMIP Emulator (MCE v1.2): a new simplified method for probabilistic climate projections J. Tsutsui 10.5194/gmd-15-951-2022
3. Recent decadal weakening of the summer Eurasian westerly jet attributable to anthropogenic aerosol emissions B. Dong et al. 10.1038/s41467-022-28816-5
4. Pacific variability reconciles observed and modelled global mean temperature increase since 1950 M. Stolpe et al. 10.1007/s00382-020-05493-y
5. Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP) B. Kravitz et al. 10.5194/acp-21-4231-2021
6. Evaluating the Impacts of Cloud Microphysical and Overlap Parameters on Simulated Clouds in Global Climate Models H. Wang et al. 10.1007/s00376-021-0369-7
7. 基于卫星遥感<bold>、</bold>大气再分析及气候模式数据的北半球春季积雪反照率反馈评估研究 辉. 郭 & 雨. 杨 10.1360/N072021-0193
8. Stringent mitigation substantially reduces risk of unprecedented near-term warming rates C. McKenna et al. 10.1038/s41558-020-00957-9
9. Mean states and future projections of precipitation over the monsoon transitional zone in China in CMIP5 and CMIP6 models J. Piao et al. 10.1007/s10584-021-03286-8
10. Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment M. Zelinka et al. 10.1029/2021JD035198
11. The fractional energy balance equation for climate projections through 2100 R. Procyk et al. 10.5194/esd-13-81-2022
12. Effective radiative forcing and adjustments in CMIP6 models C. Smith et al. 10.5194/acp-20-9591-2020
13. Role of Interhemispheric Heat Transport and Global Atmospheric Cooling in Multidecadal Trends of Northern Hemisphere Precipitation S. Yukimoto et al. 10.1029/2022GL100335
14. Future precipitation and near surface air-temperature projection using CMIP6 models based on TOPSIS method: case study, Sistan-and-Baluchestan Province of Iran N. Pegahfar 10.1007/s10661-023-12084-x
15. Potential current and future distribution for Aedes aegypti and Aedes albopictus in Colombia: important disease vectors E. Mejía-Jurado et al. 10.1007/s10530-024-03298-2
16. Climate sensitivity indices and their relation with projected temperature change in CMIP6 models L. Huusko et al. 10.1088/1748-9326/ac0748
17. Spurious Late Historical‐Era Warming in CESM2 Driven by Prescribed Biomass Burning Emissions J. Fasullo et al. 10.1029/2021GL097420
18. Imminent loss of climate space for permafrost peatlands in Europe and Western Siberia R. Fewster et al. 10.1038/s41558-022-01296-7
19. 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
20. Future Changes in Extreme High Temperature over China at 1.5°C–5°C Global Warming Based on CMIP6 Simulations G. Zhang et al. 10.1007/s00376-020-0182-8
21. Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6 H. Zhu et al. 10.1016/j.scib.2021.07.026
22. Land suitability analysis for turmeric crop for humid tropical Kerala, India, under current and future climate scenarios using advanced geospatial techniques M. Banu et al. 10.1002/jsfa.13299
23. Understanding the influence of “hot” models in climate impact studies: a hydrological perspective M. Rahimpour Asenjan et al. 10.5194/hess-27-4355-2023
24. Quantifying the Spatio-Temporal Pattern Differences in Climate Change before and after the Turning Year in Southwest China over the Past 120 Years M. Wang et al. 10.3390/atmos14060940
25. Prospects for Detecting Accelerated Global Warming M. Richardson 10.1029/2021GL095782
26. The Role of Anthropogenic Aerosol Forcing in the 1850–1985 Strengthening of the AMOC in CMIP6 Historical Simulations J. Robson et al. 10.1175/JCLI-D-22-0124.1
27. Assessing streamflow and sediment responses to future climate change over the Upper Mekong River Basin: A comparison between CMIP5 and CMIP6 models D. Ma et al. 10.1016/j.ejrh.2024.101685
28. How Climate Change Will Shape Pesticide Application in Quebec’s Golf Courses: Insights with Deep Learning Based on Assessing CMIP5 and CMIP6 I. Ebtehaj et al. 10.3390/app14209209
29. Community Integrated Earth System Model (CIESM): Description and Evaluation Y. Lin et al. 10.1029/2019MS002036
30. Monte Carlo drift correction – quantifying the drift uncertainty of global climate models B. Grandey et al. 10.5194/gmd-16-6593-2023
31. Shallow cumulus cloud feedback in large eddy simulations – bridging the gap to storm-resolving models J. Radtke et al. 10.5194/acp-21-3275-2021
32. BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP) J. Zhang et al. 10.1007/s00376-020-0151-2
33. Accounting for Pacific climate variability increases projected global warming Y. Liang et al. 10.1038/s41558-024-02017-y
34. The presence of clouds lowers climate sensitivity in the MPI-ESM1.2 climate model A. Mosso et al. 10.5194/acp-24-12793-2024
35. Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity J. Virgin et al. 10.5194/gmd-14-5355-2021
36. Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. 10.1029/2020JD033622
37. How a Stable Greenhouse Effect on Earth Is Maintained Under Global Warming J. Feng et al. 10.1029/2022JD038124
38. Impacts of Future Global Warming and Urban Heat Island on the Thermal Environments Under Hot-Humid and Hot-Dry Climate Conditions in Jakarta, Indonesia D. Octarina et al. 10.2139/ssrn.4172105
39. How does the CMIP6 ensemble change the picture for European climate projections? T. Palmer et al. 10.1088/1748-9326/ac1ed9
40. Detailing cloud property feedbacks with a regime-based decomposition M. Zelinka et al. 10.1007/s00382-022-06488-7
41. Impact of Anthropogenic Warming on Future Unprecedented Droughts in California: Insights From Multiple Indices and Multi‐Model Projections Z. Zhou et al. 10.1029/2023EF003856
42. Spring snow-albedo feedback from satellite observation, reanalysis and model simulations over the Northern Hemisphere H. Guo & Y. Yang 10.1007/s11430-021-9913-1
43. Global surface air temperatures in CMIP6: historical performance and future changes X. Fan et al. 10.1088/1748-9326/abb051
44. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
45. Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets A. Groth & E. Chavez 10.1007/s00382-024-07162-w
46. Ocean heat uptake and interbasin redistribution driven by anthropogenic aerosols and greenhouse gases S. Li et al. 10.1038/s41561-023-01219-x
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. Detecting Climate Signals Using Explainable AI With Single‐Forcing Large Ensembles Z. Labe & E. Barnes 10.1029/2021MS002464
49. Human influence on frequency of temperature extremes T. Hu et al. 10.1088/1748-9326/ab8497
50. 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models H. Fredriksen et al. 10.1029/2023GL102916
51. 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
52. On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6 K. Wyser et al. 10.5194/gmd-13-3465-2020
53. Croll, feedback mechanisms, climate change and the future R. THOMPSON 10.1017/S1755691021000153
54. Climate Sensitivity and Feedback of a New Coupled Model (K-ACE) to Idealized CO2 Forcing M. Sun et al. 10.3390/atmos11111218
55. Contributions of Anthropogenic Aerosol Forcing and Multidecadal Internal Variability to Mid‐20th Century Arctic Cooling—CMIP6/DAMIP Multimodel Analysis T. Aizawa et al. 10.1029/2021GL097093
56. Using historical temperature to constrain the climate sensitivity, the transient climate response, and aerosol-induced cooling O. Morgenstern 10.5194/acp-24-8105-2024
57. Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections M. Alessi & M. Rugenstein 10.1029/2023GL105795
58. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
59. Contrasting internally and externally generated Atlantic Multidecadal Variability and the role for AMOC in CMIP6 historical simulations J. Robson et al. 10.1098/rsta.2022.0194
60. Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2 T. Mauritsen et al. 10.16993/tellusa.54
61. Climate change scenarios over Southeast Asia J. Sentian et al. 10.30852/sb.2022.1927
62. Tuning the MPI‐ESM1.2 Global Climate Model to Improve the Match With Instrumental Record Warming by Lowering Its Climate Sensitivity T. Mauritsen & E. Roeckner 10.1029/2019MS002037
63. Diverse Responses of Global‐Mean Surface Temperature to External Forcings and Internal Climate Variability in Observations and CMIP6 Models H. Rashid 10.1029/2021GL093194
64. A stochastic model of future extreme temperature events for infrastructure analysis D. Villa et al. 10.1016/j.envsoft.2023.105663
65. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al. 10.5194/gmd-16-4715-2023
66. 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
67. Using Climate Model Simulations to Constrain Observations B. Santer et al. 10.1175/JCLI-D-20-0768.1
68. 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
69. Emergent Constraints on Regional Cloud Feedbacks N. Lutsko et al. 10.1029/2021GL092934
70. Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. 10.1073/pnas.2112087118
71. On the Effect of Historical SST Patterns on Radiative Feedback T. Andrews et al. 10.1029/2022JD036675
72. Climate sensitivity from radiative-convective equilibrium: A chalkboard approach N. Jeevanjee 10.1119/5.0135727
73. Droughts and Mega-Droughts J. Lin et al. 10.1080/07055900.2022.2086848
74. Multivariate Estimations of Equilibrium Climate Sensitivity From Short Transient Warming Simulations R. Bastiaansen et al. 10.1029/2020GL091090
75. Quantifying the influence of short-term emission reductions on climate J. Fyfe et al. 10.1126/sciadv.abf7133
76. The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. 10.5194/acp-21-18609-2021
77. Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble J. Zhang et al. 10.1038/s41612-023-00410-6
78. Scenario choice impacts carbon allocation projection at global warming levels L. de Mora et al. 10.5194/esd-14-1295-2023
79. Suppressed Late‐20th Century Warming in CMIP6 Models Explained by Forcing and Feedbacks C. Smith & P. Forster 10.1029/2021GL094948
80. Heat waves in spring from Senegal to Sahel: Evolution under climate change M. Sambou et al. 10.1002/joc.7176