71 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. A novel selection method of CMIP6 GCMs for robust climate projection M. Hamed et al. 10.1002/joc.7461
5. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes 10.1126/sciadv.abo6872
6. Projecting Global Drought Risk Under Various SSP‐RCP Scenarios Z. Zhou et al. 10.1029/2022EF003420
7. High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future Q. Zhang et al. 10.1029/2022EF002833
8. Future Southern Ocean warming linked to projected ENSO variability G. Wang et al. 10.1038/s41558-022-01398-2
9. Revisiting a Constraint on Equilibrium Climate Sensitivity From a Last Millennium Perspective S. Cropper et al. 10.1029/2023GL104126
10. 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
11. 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
12. A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
13. Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. 10.1088/1748-9326/aca68d
14. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al. 10.1029/2022MS003588
15. 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
16. 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
17. Emergent constraints on climate sensitivities M. Williamson et al. 10.1103/RevModPhys.93.025004
18. The quandary of detecting the signature of climate change in Antarctica M. Casado et al. 10.1038/s41558-023-01791-5
19. AI-empowered next-generation multiscale climate modelling for mitigation and adaptation V. Eyring et al. 10.1038/s41561-024-01527-w
20. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. 10.1088/1748-9326/aca91e
21. 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
22. Deep Learning Based Cloud Cover Parameterization for ICON A. Grundner et al. 10.1029/2021MS002959
23. 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
24. Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers X. Su et al. 10.2139/ssrn.3912948
25. Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere I. Park et al. 10.1038/s41558-023-01728-y
26. Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. 10.1029/2023JF007112
27. Historical and projected future runoff over the Mekong River basin C. Wang et al. 10.5194/esd-15-75-2024
28. Emergent Constraints on Regional Cloud Feedbacks N. Lutsko et al. 10.1029/2021GL092934
29. Assessing observational constraints on future European climate in an out-of-sample framework C. O’Reilly et al. 10.1038/s41612-024-00648-8
30. 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
31. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. 10.1002/joc.7566
32. Importance of soil moisture conservation in mitigating climate change Z. Zuo et al. 10.1016/j.scib.2024.02.033
33. Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario N. Reddy & S. Saravanan 10.1007/s11356-023-25649-7
34. 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
35. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al. 10.5194/gmd-16-1129-2023
36. 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
37. Shutdown of Southern Ocean convection controls long-term greenhouse gas-induced warming A. Gjermundsen et al. 10.1038/s41561-021-00825-x
38. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. 10.1007/s00382-022-06634-1
39. Does Model Calibration Reduce Uncertainty in Climate Projections? S. Tett et al. 10.1175/JCLI-D-21-0434.1
40. 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
41. The impacts of global warming on climate zones over China based on CMIP6 models S. Wang et al. 10.1002/joc.8567
42. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. 10.5194/esd-15-689-2024
43. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. 10.1029/2021JD035852
44. Emergent constraints on future precipitation changes H. Shiogama et al. 10.1038/s41586-021-04310-8
45. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. 10.1126/sciadv.adf2758
46. No constraint on long-term tropical land carbon-climate feedback uncertainties from interannual variability L. Liu et al. 10.1038/s43247-024-01504-6
47. 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
48. 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
49. 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
50. 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
51. Amplified temperature sensitivity of extreme precipitation events following heat stress Z. Zhou et al. 10.1038/s41612-024-00796-x
52. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
53. Assessing carbon cycle projections from complex and simple models under SSP scenarios I. Melnikova et al. 10.1007/s10584-023-03639-5
54. Temperature and precipitation changes under CMIP6 projections in the Mujib Basin, Jordan S. Alsalal et al. 10.1007/s00704-024-05087-2
55. 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
56. Emergent constraints on the future East Asian winter surface air temperature changes A. Liu et al. 10.1088/1748-9326/ad4a91
57. 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
58. The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
59. Probabilistic projections of future warming and climate sensitivity trajectories P. Goodwin 10.1093/oxfclm/kgab007
60. Emergent constraints for the climate system as effective parameters of bulk differential equations C. Huntingford et al. 10.5194/esd-14-433-2023
61. Egypt's water future: AI predicts evapotranspiration shifts across climate zones A. Mokhtar et al. 10.1016/j.ejrh.2024.101968
62. Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al. 10.1029/2022JG006985
63. Underestimated marine stratocumulus cloud feedback associated with overly active deep convection in models N. Hirota et al. 10.1088/1748-9326/abfb9e
64. 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
65. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. 10.1073/pnas.2312400121
66. 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
67. Objectively combining climate sensitivity evidence N. Lewis 10.1007/s00382-022-06468-x
68. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. 10.1029/2022GL100739
69. The Global‐Mean Precipitation Response to CO2‐Induced Warming in CMIP6 Models A. Pendergrass 10.1029/2020GL089964
70. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
71. The 2000–2012 Global Warming Hiatus More Likely With a Low Climate Sensitivity A. Modak & T. Mauritsen 10.1029/2020GL091779