89 citations as recorded by crossref.

1. An Assessment of the Oceanic Physical and Biogeochemical Components of CMIP5 and CMIP6 Models for the Ross Sea Region G. Rickard et al. 10.1029/2022JC018880
2. Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. 10.1029/2020EA001520
3. Warming proportional to cumulative carbon emissions not explained by heat and carbon sharing mixing processes N. Gillett 10.1038/s41467-023-42111-x
4. Estimation of Cloud Water Resources in China J. Yu et al. 10.3390/earth6020031
5. A novel selection method of CMIP6 GCMs for robust climate projection M. Hamed et al. 10.1002/joc.7461
6. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes 10.1126/sciadv.abo6872
7. Projecting Global Drought Risk Under Various SSP‐RCP Scenarios Z. Zhou et al. 10.1029/2022EF003420
8. High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. 10.1029/2022EF002833
9. Future Southern Ocean warming linked to projected ENSO variability G. Wang et al. 10.1038/s41558-022-01398-2
10. Revisiting a Constraint on Equilibrium Climate Sensitivity From a Last Millennium Perspective S. Cropper et al. 10.1029/2023GL104126
11. How will the projected climate change influence rainfall-induced landslides in Europe? A review of modelling approaches S. Gariano & G. Rianna 10.1007/s10346-025-02550-7
12. Emergent Constraints on CMIP6 Climate Warming Projections: Contrasting Cloud- and Surface Temperature–Based Constraints Y. Liang et al. 10.1175/JCLI-D-21-0468.1
13. The effect of climate change on the simulated streamflow of six Canadian rivers based on the CanRCM4 regional climate model V. Arora et al. 10.5194/hess-29-291-2025
14. How virtuous are the bias corrected CMIP6 models in the simulation of heatwave over different meteorological subdivisions of India? S. Singh et al. 10.1016/j.uclim.2024.101936
15. Leveraging emergent constraints to reduce uncertainty in future compound drought and heatwave events across mainland China M. Wu et al. 10.1016/j.jhydrol.2025.133551
16. A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
17. Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. 10.1088/1748-9326/aca68d
18. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. 10.1029/2022MS003588
19. Regional climate projections of daily extreme temperatures in Argentina applying statistical downscaling to CMIP5 and CMIP6 models R. Balmaceda-Huarte et al. 10.1007/s00382-024-07147-9
20. Forecasting of groundwater level variation under changing climate in Chhattisgarh state using deep learning technique M. Dey & C. Singh 10.2166/nh.2025.003
21. Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6? M. Williamson et al. 10.5194/esd-15-829-2024
22. Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al. 10.5194/esd-16-607-2025
23. Opinion: The role of AerChemMIP in advancing climate and air quality research P. Griffiths et al. 10.5194/acp-25-8289-2025
24. Emergent constraints on climate sensitivities M. Williamson et al. 10.1103/RevModPhys.93.025004
25. The quandary of detecting the signature of climate change in Antarctica M. Casado et al. 10.1038/s41558-023-01791-5
26. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation V. Eyring et al. 10.1038/s41561-024-01527-w
27. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. 10.1088/1748-9326/aca91e
28. Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models X. Jiang et al. 10.1038/s41467-023-41360-0
29. Bias correction of CMIP6 GCMs for historical and future air temperatures across China S. Wei et al. 10.1016/j.atmosres.2025.108193
30. Deep Learning Based Cloud Cover Parameterization for ICON A. Grundner et al. 10.1029/2021MS002959
31. Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer 10.5194/acp-24-1587-2024
32. Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers X. Su et al. 10.2139/ssrn.3912948
33. Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere I. Park et al. 10.1038/s41558-023-01728-y
34. Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. 10.1029/2023JF007112
35. Historical and projected future runoff over the Mekong River basin C. Wang et al. 10.5194/esd-15-75-2024
36. Emergent Constraints on Regional Cloud Feedbacks N. Lutsko et al. 10.1029/2021GL092934
37. Assessing observational constraints on future European climate in an out-of-sample framework C. O’Reilly et al. 10.1038/s41612-024-00648-8
38. Emergent constraints indicate slower increases in future global evapotranspiration Y. Chai et al. 10.1038/s41612-025-00932-1
39. Stratification constrains future heat and carbon uptake in the Southern Ocean between 30°S and 55°S T. Bourgeois et al. 10.1038/s41467-022-27979-5
40. Surface temperature effects of recent reductions in shipping SO2 emissions are within internal variability D. Watson-Parris et al. 10.5194/acp-25-4443-2025
41. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. 10.1002/joc.7566
42. Importance of soil moisture conservation in mitigating climate change Z. Zuo et al. 10.1016/j.scib.2024.02.033
43. Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario N. Reddy & S. Saravanan 10.1007/s11356-023-25649-7
44. Should we think of observationally constrained multidecade climate projections as predictions? T. Li et al. 10.1126/sciadv.adt6485
45. Arctic Ocean acidification over the 21st century co-driven by anthropogenic carbon increases and freshening in the CMIP6 model ensemble J. Terhaar et al. 10.5194/bg-18-2221-2021
46. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al. 10.5194/gmd-16-1129-2023
47. Global increase in future compound heat stress-heavy precipitation hazards and associated socio-ecosystem risks Z. Zhou et al. 10.1038/s41612-024-00579-4
48. Advanced climate modeling frameworks: state-of-the-art techniques, uncertainties, and the principle of responsibility J. Chahed 10.1007/s40808-025-02525-6
49. Shutdown of Southern Ocean convection controls long-term greenhouse gas-induced warming A. Gjermundsen et al. 10.1038/s41561-021-00825-x
50. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. 10.1007/s00382-022-06634-1
51. Does Model Calibration Reduce Uncertainty in Climate Projections? S. Tett et al. 10.1175/JCLI-D-21-0434.1
52. The difference in the uncertainty sources between future projections of mean and extreme precipitation over East Asia A. Juzbašić et al. 10.1088/1748-9326/ad52ae
53. The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. 10.1002/joc.8567
54. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. 10.5194/esd-15-689-2024
55. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. 10.1029/2021JD035852
56. Atlantic overturning inferred from air-sea heat fluxes indicates no decline since the 1960s J. Terhaar et al. 10.1038/s41467-024-55297-5
57. Emergent constraints on future precipitation changes H. Shiogama et al. 10.1038/s41586-021-04310-8
58. Mitigation needed to avoid unprecedented multi-decadal North Atlantic Oscillation magnitude D. Smith et al. 10.1038/s41558-025-02277-2
59. Transferring climate change physical knowledge F. Immorlano et al. 10.1073/pnas.2413503122
60. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. 10.1126/sciadv.adf2758
61. No constraint on long-term tropical land carbon-climate feedback uncertainties from interannual variability L. Liu et al. 10.1038/s43247-024-01504-6
62. Post-processing R tool for SWAT efficiently studying climate change impacts on hydrology, water quality, and crop growth B. Ding et al. 10.1016/j.envsoft.2022.105492
63. Projection and Uncertainty Analysis of Future Temperature Change over the Yarlung Tsangpo-Brahmaputra River Basin Based on CMIP6 Z. Xu et al. 10.3390/w15203595
64. Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective P. Nowack & D. Watson-Parris 10.5194/acp-25-2365-2025
65. A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value? J. Boé et al. 10.1007/s00382-022-06552-2
66. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
67. Amplified temperature sensitivity of extreme precipitation events following heat stress Z. Zhou et al. 10.1038/s41612-024-00796-x
68. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
69. Assessing carbon cycle projections from complex and simple models under SSP scenarios I. Melnikova et al. 10.1007/s10584-023-03639-5
70. Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan S. Alsalal et al. 10.1007/s00704-024-05087-2
71. Multidimensional analysis of climate-induced streamflow variability using CMIP6 data and advanced modeling techniques P. Hlaing et al. 10.1080/10106049.2025.2504362
72. The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake N. Goris et al. 10.5194/gmd-16-2095-2023
73. Emergent constraints on the future East Asian winter surface air temperature changes A. Liu et al. 10.1088/1748-9326/ad4a91
74. Effects of Climate Change on Streamflow in the Godavari Basin Simulated Using a Conceptual Model including CMIP6 Dataset N. Reddy et al. 10.3390/w15091701
75. The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
76. Multi-objective observational constraint of tropical Atlantic and Pacific low-cloud variability narrows uncertainty in cloud feedback M. Wu et al. 10.1038/s41467-024-53985-w
77. Probabilistic projections of future warming and climate sensitivity trajectories P. Goodwin 10.1093/oxfclm/kgab007
78. Emergent constraints for the climate system as effective parameters of bulk differential equations C. Huntingford et al. 10.5194/esd-14-433-2023
79. Egypt's water future: AI predicts evapotranspiration shifts across climate zones A. Mokhtar et al. 10.1016/j.ejrh.2024.101968
80. Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al. 10.1029/2022JG006985
81. Underestimated marine stratocumulus cloud feedback associated with overly active deep convection in models N. Hirota et al. 10.1088/1748-9326/abfb9e
82. Projections of the North Atlantic warming hole can be constrained using ocean surface density as an emergent constraint I. Park & S. Yeh 10.1038/s43247-024-01269-y
83. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. 10.1073/pnas.2312400121
84. Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
85. Objectively combining climate sensitivity evidence N. Lewis 10.1007/s00382-022-06468-x
86. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. 10.1029/2022GL100739
87. The Global‐Mean Precipitation Response to CO2‐Induced Warming in CMIP6 Models A. Pendergrass 10.1029/2020GL089964
88. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
89. The 2000–2012 Global Warming Hiatus More Likely With a Low Climate Sensitivity A. Modak & T. Mauritsen 10.1029/2020GL091779