106 citations as recorded by crossref.

1. Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models A. Katzenberger et al. https://doi.org/10.5194/esd-12-367-2021
2. Solar tower power generation under future attenuation and climate scenarios J. Polo et al. https://doi.org/10.1016/j.rser.2024.114997
3. Projections of Drought Characteristics Based on the CNRM-CM6 Model over Africa I. Nooni et al. https://doi.org/10.3390/agriculture12040495
4. A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP M. Renoult et al. https://doi.org/10.5194/cp-16-1715-2020
5. Quantifying the Added Value in the NEX-GDDP-CMIP6 Models as Compared to Native CMIP6 in Simulating Africa’s Diverse Precipitation Climatology E. Dioha et al. https://doi.org/10.1007/s41748-024-00397-x
6. Ocean heat uptake and interbasin redistribution driven by anthropogenic aerosols and greenhouse gases S. Li et al. https://doi.org/10.1038/s41561-023-01219-x
7. Contrasting effects of urbanization on vegetation between the Global South and Global North J. Chen et al. https://doi.org/10.1038/s41893-025-01520-0
8. Future projection of droughts in Morocco and potential impact on agriculture V. Gumus et al. https://doi.org/10.1016/j.jenvman.2024.122019
9. Boreal winter stratospheric climatology in EC-EARTH: CMIP6 version F. Palmeiro et al. https://doi.org/10.1007/s00382-022-06368-0
10. Projections of wildfire risk and activities under 1.5 °C and 2.0 °C global warming scenarios X. Peng et al. https://doi.org/10.1088/2515-7620/acbf13
11. Projected Changes in Terrestrial Vegetation and Carbon Fluxes under 1.5 °C and 2.0 °C Global Warming X. Peng et al. https://doi.org/10.3390/atmos13010042
12. Future low flow, ecological flow, and drought patterns in a transboundary basin under bias-corrected CMIP6 projections Z. Tasnim et al. https://doi.org/10.2166/wcc.2026.282
13. A Comparative Study on the Skill of CMIP6 Models to Preserve Daily Spatial Patterns of Monsoon Rainfall Over India A. Mitra https://doi.org/10.3389/fclim.2021.654763
14. Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6 I. Nooni et al. https://doi.org/10.3390/ijerph18136760
15. Global water availability and its distribution under the Coupled Model Intercomparison Project Phase Six scenarios X. Li & Z. Li https://doi.org/10.1002/joc.7559
16. Future transition in climate extremes over Western Ghats of India based on CMIP6 models S. Shetty et al. https://doi.org/10.1007/s10661-023-11090-3
17. Quantifying CMIP6 model uncertainties in extreme precipitation projections A. John et al. https://doi.org/10.1016/j.wace.2022.100435
18. The New Max Planck Institute Grand Ensemble With CMIP6 Forcing and High‐Frequency Model Output D. Olonscheck et al. https://doi.org/10.1029/2023MS003790
19. The role of internal feedbacks in sustaining multi-centennial variability of the Atlantic Meridional Overturning Circulation revealed by EC-Earth3-LR simulations N. Cao et al. https://doi.org/10.1016/j.epsl.2023.118372
20. Assessing glacier retreat and its impact on water resources in a headwater of Yangtze River based on CMIP6 projections H. Gao et al. https://doi.org/10.1016/j.scitotenv.2020.142774
21. Evaluating the Applicability of a Quantile–Quantile Adjustment Approach for Downscaling Monthly GCM Projections to Site Scale over the Qinghai-Tibet Plateau Z. Yin et al. https://doi.org/10.3390/atmos12091170
22. Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang, China X. Zhang et al. https://doi.org/10.1016/j.aosl.2021.100128
23. Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al. https://doi.org/10.1007/s11069-022-05558-7
24. Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid–ammonia nucleation C. Svenhag et al. https://doi.org/10.5194/gmd-17-4923-2024
25. Evaluation of Extreme Climate Indices over the Three Northeastern Provinces of China Based on CMIP6 Models Outputs H. Xiao et al. https://doi.org/10.3390/w15223895
26. Future Changes of the Eddy Moisture Convergence in Winter Over Coastal Lands in Eastern North America and East Asia W. Liang & M. Zhang https://doi.org/10.1029/2022JD037149
27. Evaluation and projections of summer daily precipitation over Northeastern China in an optimal CMIP6 Multimodel Ensemble Z. LI & X. Jiao https://doi.org/10.1007/s00382-024-07201-6
28. Precipitation over southern Africa: is there consensus among global climate models (GCMs), regional climate models (RCMs) and observational data? M. Karypidou et al. https://doi.org/10.5194/gmd-15-3387-2022
29. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. https://doi.org/10.1029/2022MS003397
30. Evaluation of atmospheric circulations for dynamic downscaling in CMIP6 models over East Asia S. Song et al. https://doi.org/10.1007/s00382-022-06465-0
31. Clouds drive differences in future surface melt over the Antarctic ice shelves C. Kittel et al. https://doi.org/10.5194/tc-16-2655-2022
32. Global Synthesis of Regional Holocene Hydroclimate Variability Using Proxy and Model Data C. Hancock et al. https://doi.org/10.1029/2022PA004597
33. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. https://doi.org/10.1029/2021JD035852
34. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al. https://doi.org/10.1029/2022JD037978
35. Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models P. Silva et al. https://doi.org/10.1007/s00382-024-07253-8
36. Global Bias-Corrected CORDEX Datasets at Half Degree Resolution F. Yakubu et al. https://doi.org/10.1038/s41597-025-06200-4
37. Diurnal cycle of precipitation over global monsoon systems in CMIP6 simulations C. Tao et al. https://doi.org/10.1007/s00382-022-06546-0
38. An evaluation of CMIP5 and CMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain D. Khadka et al. https://doi.org/10.1002/joc.7296
39. Asian heat stress variations in a changing climate: Implications for disproportionate urban and rural population exposure P. Mohammad & Q. Weng https://doi.org/10.1016/j.habitatint.2025.103294
40. The capability of CMIP6 models on seasonal precipitation extremes over Central Asia Z. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106364
41. Northern-high-latitude permafrost and terrestrial carbon response to two solar geoengineering scenarios Y. Chen et al. https://doi.org/10.5194/esd-14-55-2023
42. Impacts of large-scale Saharan solar farms on the global terrestrial carbon cycle K. Power et al. https://doi.org/10.1088/1748-9326/acf7d8
43. The Pliocene Model Intercomparison Project Phase 2: large-scale climate features and climate sensitivity A. Haywood et al. https://doi.org/10.5194/cp-16-2095-2020
44. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. https://doi.org/10.5194/acp-23-523-2023
45. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the seasonal extreme precipitation in the Western North Pacific and East Asia C. Chen et al. https://doi.org/10.1016/j.wace.2021.100303
46. Uncertainties in projected surface mass balance over the polar ice sheets from dynamically downscaled EC-Earth models F. Boberg et al. https://doi.org/10.5194/tc-16-17-2022
47. Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia S. Ullah et al. https://doi.org/10.1029/2021EF002511
48. The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. https://doi.org/10.5194/gmd-15-2973-2022
49. A simplified procedure to assess the effects of climate change on landslide hazard in a small area of the Southern Apennines in Italy G. Rianna et al. https://doi.org/10.1007/s11069-022-05656-6
50. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
51. Will fire-smart landscape management buffer the effects of climate and land-use changes on fire regimes? Â. Sil et al. https://doi.org/10.1186/s13717-024-00535-3
52. Assessment of Future Rainfall Quantile Changes in South Korea Based on a CMIP6 Multi-Model Ensemble S. Kim et al. https://doi.org/10.3390/w17060894
53. The Tuning Strategy of IPSL‐CM6A‐LR J. Mignot et al. https://doi.org/10.1029/2020MS002340
54. Overturning Pathways Control AMOC Weakening in CMIP6 Models J. Baker et al. https://doi.org/10.1029/2023GL103381
55. Projected Climate Change Effects on Global Vegetation Growth: A Machine Learning Approach K. Nguyen et al. https://doi.org/10.3390/environments10120204
56. Mid-holocene changes in the global ITCZ: meridional structure and land–sea rainfall differences J. Bian & J. Räisänen https://doi.org/10.1007/s00382-024-07470-1
57. Comparative Assessment and Future Prediction Using CMIP6 and CMIP5 for Annual Precipitation and Extreme Precipitation Simulation J. Li et al. https://doi.org/10.3389/feart.2021.687976
58. Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models G. Meehl et al. https://doi.org/10.1126/sciadv.aba1981
59. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. https://doi.org/10.1007/s00382-023-06696-9
60. Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions L. Wilcox et al. https://doi.org/10.5194/acp-20-11955-2020
61. Implications of Increasing Household Air Conditioning Use Across the United States Under a Warming Climate R. Obringer et al. https://doi.org/10.1029/2021EF002434
62. Implications for the distributional range of the European bark beetles under future climate change S. Jian et al. https://doi.org/10.1038/s41598-025-15546-z
63. How does the CMIP6 ensemble change the picture for European climate projections? T. Palmer et al. https://doi.org/10.1088/1748-9326/ac1ed9
64. Tropical Atlantic variability in EC-EARTH: impact of the radiative forcing D. Volpi et al. https://doi.org/10.1007/s00382-024-07172-8
65. The change in convection over the Indo-Pacific warm pool in the mid-Holocene and its influence on South Asian precipitation X. Zhou et al. https://doi.org/10.1016/j.quascirev.2023.108399
66. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes https://doi.org/10.1126/sciadv.abo6872
67. The effectiveness of machine learning‐based multi‐model ensemble predictions of CMIP6 in Western Ghats of India S. Shetty et al. https://doi.org/10.1002/joc.8131
68. Climate‐change modelling at reduced floating‐point precision with stochastic rounding T. Kimpson et al. https://doi.org/10.1002/qj.4435
69. A review of recent studies on wind resource projections under climate change C. Jung & D. Schindler https://doi.org/10.1016/j.rser.2022.112596
70. Quantification of uncertainties in projections of extreme daily precipitation simulated by CMIP6 GCMs over homogeneous regions of India M. Nair et al. https://doi.org/10.1002/joc.8269
71. Evaluation of extreme precipitation climate indices and their projected changes for Brazil: From CMIP3 to CMIP6 F. Jeferson de Medeiros et al. https://doi.org/10.1016/j.wace.2022.100511
72. Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China M. Huang et al. https://doi.org/10.1016/j.agsy.2022.103411
73. Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4) B. Otto-Bliesner et al. https://doi.org/10.5194/cp-17-63-2021
74. Attributing improved diurnal temperature range simulations in CMIP6 to enhanced forcing responses X. Sun et al. https://doi.org/10.1016/j.atmosres.2026.108888
75. Spurious Late Historical‐Era Warming in CESM2 Driven by Prescribed Biomass Burning Emissions J. Fasullo et al. https://doi.org/10.1029/2021GL097420
76. 2023 temperatures reflect steady global warming and internal sea surface temperature variability B. Samset et al. https://doi.org/10.1038/s43247-024-01637-8
77. Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response Z. Nicholls et al. https://doi.org/10.5194/gmd-13-5175-2020
78. A less cloudy picture of the inter-model spread in future global warming projections X. Hu et al. https://doi.org/10.1038/s41467-020-18227-9
79. The Regional Aerosol Model Intercomparison Project (RAMIP) L. Wilcox et al. https://doi.org/10.5194/gmd-16-4451-2023
80. The Atlantic ocean's decadal variability in mid-Holocene simulations using Shannon's entropy I. Gorenstein et al. https://doi.org/10.5194/gmd-19-3689-2026
81. Climate Sensitivity and Feedback of a New Coupled Model (K-ACE) to Idealized CO2 Forcing M. Sun et al. https://doi.org/10.3390/atmos11111218
82. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh https://doi.org/10.1007/s00382-022-06323-z
83. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. https://doi.org/10.5194/esd-11-1233-2020
84. How Striking Is the Intergenerational Difference in Exposure to Compound Heatwaves Over Southeast Asia? X. Sun et al. https://doi.org/10.1029/2022EF003179
85. Exploring uncertainty in dynamical future changes in Sahel precipitation: the extratropical influence P. Monerie et al. https://doi.org/10.1007/s00382-025-07835-0
86. The performance of CMIP6 models in describing the temperature annual cycle in China from 1961 to 2014 C. Zhang et al. https://doi.org/10.1007/s00704-023-04580-4
87. Mid-Holocene Intertropical Convergence Zone migration: connection with Hadley cell dynamics and impacts on terrestrial hydroclimate J. Bian et al. https://doi.org/10.5194/cp-21-1209-2025
88. Future Implications of Climate Change on Arum palaestinum Boiss: Drought Tolerance, Growth and Production M. Abubaira et al. https://doi.org/10.3390/atmos14091361
89. Slowdown and reversal of terrestrial near-surface wind speed and its future changes over eastern China J. Zha et al. https://doi.org/10.1088/1748-9326/abe2cd
90. Sensitivity of melt energy of the Greenland ice sheet to changes in spatially variable ice-surface roughness derived from ICESat GLAS data U. Herzfeld et al. https://doi.org/10.3389/feart.2026.1774414
91. Uncertainties and their interaction in flood hazard assessment with climate change H. Meresa et al. https://doi.org/10.5194/hess-25-5237-2021
92. Biases and improvements of the boreal winter–spring equatorial undercurrent in the Indian Ocean in the CMIP5 and CMIP6 models J. Li et al. https://doi.org/10.3389/fmars.2023.1168385
93. Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios C. Müller et al. https://doi.org/10.1088/1748-9326/abd8fc
94. The mid-Holocene East Asian summer monsoon simulated by PMIP4-CMIP6 and PMIP3-CMIP5: Model uncertainty and its possible sources Y. Wu et al. https://doi.org/10.1016/j.gloplacha.2022.103986
95. Towards better characterization of global warming impacts in the environment through climate classifications with improved global models A. Navarro et al. https://doi.org/10.1002/joc.7527
96. Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet C. Kittel et al. https://doi.org/10.5194/tc-15-1215-2021
97. The patterns of potential evapotranspiration and seasonal aridity under the change in climate in the upper Blue Nile basin, Ethiopia G. Gismu Chakilu et al. https://doi.org/10.1016/j.jhydrol.2024.131841
98. Limits to growth revisited: System dynamics simulations of global economic developments and distributional implications in the 21st century A. Lauer & L. Llases https://doi.org/10.1016/j.ecolecon.2026.109094
99. Spring Arctic sea ice decline exacerbates summer extreme precipitation in central Asia and drought in northeast China L. Zhang et al. https://doi.org/10.1007/s00382-026-08058-7
100. Evaluations of the Climatologies of Three Latest Cloud Satellite Products Based on Passive Sensors (ISCCP-H, Two CERES) against the CALIPSO-GOCCP F. Boudala & J. Milbrandt https://doi.org/10.3390/rs13245150
101. The Distributional Range Changes of European Heterobasidion Under Future Climate Change S. Shen et al. https://doi.org/10.3390/f15111863
102. Tailoring circulation type classification outcomes F. Hansen & D. Belušić https://doi.org/10.1002/joc.7171
103. Changes in the annual cycle of surface air temperature over China in the 21st century simulated by CMIP6 models C. Zhang et al. https://doi.org/10.1038/s41598-025-98672-y
104. Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. https://doi.org/10.1029/2023GL104848
105. Winter Euro‐Atlantic Climate Modes: Future Scenarios From a CMIP6 Multi‐Model Ensemble E. Cusinato et al. https://doi.org/10.1029/2021GL094532
106. CMIP6 skill at predicting interannual to multi-decadal summer monsoon precipitation variability P. Monerie et al. https://doi.org/10.1088/1748-9326/acea96