64 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. Emergent constraints on climate sensitivities M. Williamson et al. 10.1103/RevModPhys.93.025004
17. The quandary of detecting the signature of climate change in Antarctica M. Casado et al. 10.1038/s41558-023-01791-5
18. Changes to population-based emergence of climate change from CMIP5 to CMIP6 H. Douglas et al. 10.1088/1748-9326/aca91e
19. 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
20. Deep Learning Based Cloud Cover Parameterization for ICON A. Grundner et al. 10.1029/2021MS002959
21. 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
22. Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers X. Su et al. 10.2139/ssrn.3912948
23. Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere I. Park et al. 10.1038/s41558-023-01728-y
24. Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. 10.1029/2023JF007112
25. Historical and projected future runoff over the Mekong River basin C. Wang et al. 10.5194/esd-15-75-2024
26. Emergent Constraints on Regional Cloud Feedbacks N. Lutsko et al. 10.1029/2021GL092934
27. Assessing observational constraints on future European climate in an out-of-sample framework C. O’Reilly et al. 10.1038/s41612-024-00648-8
28. 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
29. A global climate model ensemble for downscaled monthly climate normals over North America C. Mahony et al. 10.1002/joc.7566
30. Importance of soil moisture conservation in mitigating climate change Z. Zuo et al. 10.1016/j.scib.2024.02.033
31. Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario N. Reddy & S. Saravanan 10.1007/s11356-023-25649-7
32. 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
33. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al. 10.5194/gmd-16-1129-2023
34. 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
35. Shutdown of Southern Ocean convection controls long-term greenhouse gas-induced warming A. Gjermundsen et al. 10.1038/s41561-021-00825-x
36. Robustness of precipitation Emergent Constraints in CMIP6 models O. Ferguglia et al. 10.1007/s00382-022-06634-1
37. Does Model Calibration Reduce Uncertainty in Climate Projections? S. Tett et al. 10.1175/JCLI-D-21-0434.1
38. 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
39. Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al. 10.5194/esd-15-689-2024
40. Evaluating the Nature and Extent of Changes to Climate Sensitivity Between FGOALS‐g2 and FGOALS‐g3 H. Wang et al. 10.1029/2021JD035852
41. Emergent constraints on future precipitation changes H. Shiogama et al. 10.1038/s41586-021-04310-8
42. Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections F. Hourdin et al. 10.1126/sciadv.adf2758
43. 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
44. 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
45. 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
46. Machine learning of cloud types in satellite observations and climate models P. Kuma et al. 10.5194/acp-23-523-2023
47. Assessing carbon cycle projections from complex and simple models under SSP scenarios I. Melnikova et al. 10.1007/s10584-023-03639-5
48. 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
49. Emergent constraints on the future East Asian winter surface air temperature changes A. Liu et al. 10.1088/1748-9326/ad4a91
50. 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
51. The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
52. Probabilistic projections of future warming and climate sensitivity trajectories P. Goodwin 10.1093/oxfclm/kgab007
53. Emergent constraints for the climate system as effective parameters of bulk differential equations C. Huntingford et al. 10.5194/esd-14-433-2023
54. An Investigation of the Effective Climate Sensitivity in GFDL’s New Climate Models CM4.0 and SPEAR M. Zhao 10.1175/JCLI-D-21-0327.1
55. Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al. 10.1029/2022JG006985
56. Underestimated marine stratocumulus cloud feedback associated with overly active deep convection in models N. Hirota et al. 10.1088/1748-9326/abfb9e
57. 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
58. Constraints on regional projections of mean and extreme precipitation under warming P. Dai et al. 10.1073/pnas.2312400121
59. 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
60. Objectively combining climate sensitivity evidence N. Lewis 10.1007/s00382-022-06468-x
61. Inter‐Model Differences in Future Summer Onset Over the Northern High Latitudes B. Park et al. 10.1029/2022GL100739
62. The Global‐Mean Precipitation Response to CO2‐Induced Warming in CMIP6 Models A. Pendergrass 10.1029/2020GL089964
63. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al. 10.1007/s10584-022-03435-7
64. The 2000–2012 Global Warming Hiatus More Likely With a Low Climate Sensitivity A. Modak & T. Mauritsen 10.1029/2020GL091779