GSTDTAP  > 气候变化
DOI10.1029/2021GL094876
Snow reconciles observed and simulated phase partitioning and increases cloud feedback
Gré; gory V. Cesana; Andrew S. Ackerman; Ann M. Fridlind; Israel Silber; Maxwell Kelley
2021-09-23
发表期刊Geophysical Research Letters
出版年2021
英文摘要

The surprising increase of Earth's climate sensitivity in the most recent Coupled Model Intercomparison Project (CMIP) models has been largely attributed to extratropical cloud feedback, which is thought to be driven by greater supercooled water in present-day cloud phase partitioning (CPP). Here we report that accounting for precipitation in the Goddard Institute for Space Studies ModelE3 radiation scheme, neglected in more than 60% of CMIP6 and 90% of CMIP5 models, systematically changes its apparent CPP and substantially increases its cloud feedback, consistent with results using CMIP models. Including precipitation in the comparison with Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements and in model radiation schemes is essential to faithfully constrain cloud amount and phase partitioning, and simulate cloud feedbacks. Our findings suggest that making radiation schemes precipitation-aware (missing in most CMIP6 models) should strengthen their positive cloud feedback and further increase their already high mean climate sensitivity.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/338794
专题气候变化
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GB/T 7714
Gré,gory V. Cesana,Andrew S. Ackerman,et al. Snow reconciles observed and simulated phase partitioning and increases cloud feedback[J]. Geophysical Research Letters,2021.
APA Gré,gory V. Cesana,Andrew S. Ackerman,Ann M. Fridlind,Israel Silber,&Maxwell Kelley.(2021).Snow reconciles observed and simulated phase partitioning and increases cloud feedback.Geophysical Research Letters.
MLA Gré,et al."Snow reconciles observed and simulated phase partitioning and increases cloud feedback".Geophysical Research Letters (2021).
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