气候变化领域集成服务门户(CCPortal): Climate impact of cloud water inhomogeneity through microphysical processes in a global climate model

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DOI	10.1175/JCLI-D-19-0772.1
	Climate impact of cloud water inhomogeneity through microphysical processes in a global climate model
	Hotta H.; Suzuki K.; Goto D.; Lebsock M.
发表日期	2020
ISSN	0894-8755
起始页码	5195
结束页码	5212
卷号	33 期号:12
英文摘要	This study investigates how subgrid cloud water inhomogeneity within a grid spacing of a general circulation model (GCM) links to the global climate through precipitation processes. The effect of the cloud inhomogeneity on autoconversion rate is incorporated into the GCM as an enhancement factor using a prognostic cloud water probability density function (PDF), which is assumed to be a truncated skewed-triangle distribution based on the total water PDF originally implemented. The PDF assumption and the factor are evaluated against those obtained by global satellite observations and simulated by a global cloud-system-resolving model (GCRM). Results show that the factor implemented exerts latitudinal variations, with higher values at low latitudes, qualitatively consistent with satellite observations and the GCRM. The GCM thus validated for the subgrid cloud inhomogeneity is then used to investigate how the characteristics of the enhancement factor affect global climate through sensitivity experiments with and without the factor incorporated. The latitudinal variation of the factor is found to have a systematic impact that reduces the cloud water and the solar reflection at low latitudes in the manner that helps mitigate the too-reflective cloud bias common among GCMs over the tropical oceans. Due to the limitation of the factor arising from the PDF assumption, however, no significant impact is found in the warm rain formation process. Finally, it is shown that the functional form for the PDF in a GCM is crucial to properly characterize the observed cloud water inhomogeneity and its relationship with precipitation. © 2020 American Meteorological Society.
英文关键词	Precipitation (meteorology); Probability density function; Probability distributions; Enhancement factor; General circulation model; Global climate model; Latitudinal variation; Microphysical process; Precipitation process; Probability density function (pdf); Satellite observations; Climate models; climate effect; climate modeling; cloud microphysics; cloud water; general circulation model; inhomogeneity; probability density function
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171298
作者单位	Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan; National Institute for Environmental Studies, Tsukuba, Japan; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
推荐引用方式 GB/T 7714	Hotta H.,Suzuki K.,Goto D.,et al. Climate impact of cloud water inhomogeneity through microphysical processes in a global climate model[J],2020,33(12).
APA	Hotta H.,Suzuki K.,Goto D.,&Lebsock M..(2020).Climate impact of cloud water inhomogeneity through microphysical processes in a global climate model.Journal of Climate,33(12).
MLA	Hotta H.,et al."Climate impact of cloud water inhomogeneity through microphysical processes in a global climate model".Journal of Climate 33.12(2020).