气候变化领域集成服务门户(CCPortal): Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations

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DOI	10.1029/2020MS002138
	Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations
	Wing A.A.; Stauffer C.L.; Becker T.; Reed K.A.; Ahn M.-S.; Arnold N.P.; Bony S.; Branson M.; Bryan G.H.; Chaboureau J.-P.; De Roode S.R.; Gayatri K.; Hohenegger C.; Hu I.-K.; Jansson F.; Jones T.R.; Khairoutdinov M.; Kim D.; Martin Z.K.; Matsugishi S.; Medeiros B.; Miura H.; Moon Y.; Müller S.K.; Ohno T.; Popp M.; Prabhakaran T.; Randall D.; Rios-Berrios R.; Rochetin N.; Roehrig R.; Romps D.M.; Ruppert J.H.; Jr.; Satoh M.; Silvers L.G.; Singh M.S.; Stevens B.; Tomassini L.; van Heerwaarden C.C.; Wang S.; Zhao M.
发表日期	2020
ISSN	19422466
卷号	12 期号:9
英文摘要	The Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP) is an intercomparison of multiple types of numerical models configured in radiative-convective equilibrium (RCE). RCE is an idealization of the tropical atmosphere that has long been used to study basic questions in climate science. Here, we employ RCE to investigate the role that clouds and convective activity play in determining cloud feedbacks, climate sensitivity, the state of convective aggregation, and the equilibrium climate. RCEMIP is unique among intercomparisons in its inclusion of a wide range of model types, including atmospheric general circulation models (GCMs), single column models (SCMs), cloud-resolving models (CRMs), large eddy simulations (LES), and global cloud-resolving models (GCRMs). The first results are presented from the RCEMIP ensemble of more than 30 models. While there are large differences across the RCEMIP ensemble in the representation of mean profiles of temperature, humidity, and cloudiness, in a majority of models anvil clouds rise, warm, and decrease in area coverage in response to an increase in sea surface temperature (SST). Nearly all models exhibit self-aggregation in large domains and agree that self-aggregation acts to dry and warm the troposphere, reduce high cloudiness, and increase cooling to space. The degree of self-aggregation exhibits no clear tendency with warming. There is a wide range of climate sensitivities, but models with parameterized convection tend to have lower climate sensitivities than models with explicit convection. In models with parameterized convection, aggregated simulations have lower climate sensitivities than unaggregated simulations. ©2020. The Authors.
英文关键词	climate sensitivity; cloud feedbacks; clouds; convection; radiative-convective equilibrium; self-aggregation
语种	英语
scopus关键词	Atmospheric humidity; Clouds; Large eddy simulation; Oceanography; Surface waters; Atmospheric general circulation models; Cloud resolving model; Global cloud resolving model; Multi-model ensemble; Radiative-convective equilibrium; Sea surface temperature (SST); Single-column model; Tropical atmospheres; Climate models; convection; ensemble forecasting; numerical model; parameterization; sea surface temperature; simulation; 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/156654
作者单位	Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, United States; Max Planck Institute for Meteorology, Hamburg, Germany; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Laboratoire de Météorologie Dynamique (LMD)/IPSL/Sorbonne Université/CNRS, Paris, France; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; National Center for Atmospheric Research, Boulder, CO, United States; Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France; Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, Netherlands; Indian Institute of Tropical Meteorology, Pune, India; Rosenstiel School of Marine a...
推荐引用方式 GB/T 7714	Wing A.A.,Stauffer C.L.,Becker T.,et al. Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations[J],2020,12(9).
APA	Wing A.A..,Stauffer C.L..,Becker T..,Reed K.A..,Ahn M.-S..,...&Zhao M..(2020).Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations.Journal of Advances in Modeling Earth Systems,12(9).
MLA	Wing A.A.,et al."Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations".Journal of Advances in Modeling Earth Systems 12.9(2020).