气候变化领域集成服务门户(CCPortal): Vertical dependence of horizontal variation of cloud microphysics: Observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models

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DOI	10.5194/acp-21-3103-2021
	Vertical dependence of horizontal variation of cloud microphysics: Observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models
	Zhang Z.; Song Q.; Mechem D.; Larson V.; Wang J.; Liu Y.; K. Witte M.; Dong X.; Wu P.
发表日期	2021
ISSN	1680-7316
起始页码	3103
结束页码	3121
卷号	21 期号:4
英文摘要	In the current global climate models (GCMs), the nonlinearity effect of subgrid cloud variations on the parameterization of warm-rain process, e.g. the autoconversion rate, is often treated by multiplying the resolved-scale warm-rain process rates by a so-called enhancement factor (EF). In this study, we investigate the subgrid-scale horizontal variations and covariation of cloud water content (qc) and cloud droplet number concentration (Nc) in marine boundary layer (MBL) clouds based on the in situ measurements from a recent field campaign and study the implications for the autoconversion rate EF in GCMs. Based on a few carefully selected cases from the field campaign, we found that in contrast to the enhancing effect of qc and Nc variations that tends to make EF>1, the strong positive correlation between qc and Nc results in a suppressing effect that tends to make EF<1. This effect is especially strong at cloud top, where the qc and Nc correlation can be as high as 0.95. We also found that the physically complete EF that accounts for the covariation of qc and Nc is significantly smaller than its counterpart that accounts only for the subgrid variation of qc, especially at cloud top. Although this study is based on limited cases, it suggests that the subgrid variations of Nc and its correlation with qc both need to be considered for an accurate simulation of the autoconversion process in GCMs. © 2021 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	boundary layer; climate modeling; cloud microphysics; correlation; global climate; in situ measurement; marine atmosphere; observational method; parameterization
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247099
作者单位	Department of Physics, University of Maryland Baltimore County (UMBC), Baltimore, 21250, United States; Joint Center for Earth Systems Technology, Umbc, Baltimore, 21250, United States; Department of Geography and Atmospheric Science, University of Kansas, Lawrence, 66045, United States; Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, 53201, United States; Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, 63130, United States; Environmental and Climate Science Department, Brookhaven National Laboratory, Upton, 11973, United States; Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles, Los Angeles, 90095, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91011, United States; Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, 85721, United States; Pacifi...
推荐引用方式 GB/T 7714	Zhang Z.,Song Q.,Mechem D.,et al. Vertical dependence of horizontal variation of cloud microphysics: Observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models[J],2021,21(4).
APA	Zhang Z..,Song Q..,Mechem D..,Larson V..,Wang J..,...&Wu P..(2021).Vertical dependence of horizontal variation of cloud microphysics: Observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(4).
MLA	Zhang Z.,et al."Vertical dependence of horizontal variation of cloud microphysics: Observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.4(2021).