气候变化领域集成服务门户(CCPortal): Understanding the Extreme Spread in Climate Sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project

CCPortal

DOI	10.1029/2020MS002165
	Understanding the Extreme Spread in Climate Sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project
	Becker T.; Wing A.A.
发表日期	2020
ISSN	19422466
卷号	12 期号:10
英文摘要	The Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP) consists of simulations at three fixed sea-surface temperatures (SSTs: 295, 300, and 305 K) and thus allows for a calculation of the climate feedback parameter based on the change of the top-of-atmosphere radiation imbalance. Climate feedback parameters range widely across RCEMIP, roughly from −6 to 3 W m−2 K−1, particularly across general-circulation models (GCMs) as well as global and large-domain cloud-resolving models (CRMs). Small-domain CRMs and large-eddy simulations have a smaller range of climate feedback parameters due to the absence of convective self-aggregation. More than 70–80% of the intermodel spread in the climate feedback parameter can be explained by the combined temperature dependencies of convective aggregation and shallow cloud fraction. Low climate sensitivities are associated with an increase of shallow cloud fraction (increasing the planetary albedo) and/or an increase in convective aggregation with warming. An increase in aggregation is associated with an increase in outgoing longwave radiation, caused primarily by mid-tropospheric drying, and secondarily by an expansion of subsidence regions. Climate sensitivity is neither dependent on the average amount of aggregation nor on changes in deep/anvil cloud fraction. GCMs have a lower overall climate sensitivity than CRMs because in most GCMs convective aggregation increases with warming, whereas in CRMs, convective aggregation shows no consistent temperature trend. ©2020. The Authors.
英文关键词	climate sensitivity; cloud feedbacks; convective self-aggregation; hierarchy of models; radiative-convective equilibrium; RCEMIP
语种	英语
scopus关键词	Atmospheric temperature; Climate change; Large eddy simulation; Oceanography; Surface waters; Climate sensitivity; Cloud resolving model; General circulation model; Outgoing longwave radiation; Radiative-convective equilibrium; Sea surface temperature (SST); Temperature dependencies; Temperature trends; Climate models; climate change; climate feedback; CMIP; extreme event; general circulation model; longwave radiation; sea surface temperature; sensitivity analysis; top of atmosphere; troposphere
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156609
作者单位	Max Planck Institute for Meteorology, Hamburg, Germany; Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, United States
推荐引用方式 GB/T 7714	Becker T.,Wing A.A.. Understanding the Extreme Spread in Climate Sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project[J],2020,12(10).
APA	Becker T.,&Wing A.A..(2020).Understanding the Extreme Spread in Climate Sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project.Journal of Advances in Modeling Earth Systems,12(10).
MLA	Becker T.,et al."Understanding the Extreme Spread in Climate Sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project".Journal of Advances in Modeling Earth Systems 12.10(2020).