globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2014MS000405
Scopus记录号: 2-s2.0-84945437368
论文题名:
Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM)
作者: Guo Z; , Wang M; , Qian Y; , Larson V; E; , Ghan S; , Ovchinnikov M; , A; Bogenschutz P; , Gettelman A; , Zhou T
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期:3
起始页码: 1005
结束页码: 1025
语种: 英语
英文关键词: CLUBB ; Community atmosphere model ; Generalized linear model ; Higher-order ; Parameter contributions ; Parameter uncertainty ; Shallow convection ; Stratocumulus ; Earth sciences ; atmospheric modeling ; cloud ; cloud microphysics ; cloud water ; Gaussian method ; Monte Carlo analysis ; parameterization ; sensitivity analysis ; thermodynamics ; turbulence ; turbulent boundary layer
英文摘要: In this study, we investigate the sensitivity of simulated low clouds to 14 selected tunable parameters of Cloud Layers Unified By Binormals (CLUBB), a higher-order closure (HOC) scheme, and four parameters of the Zhang-McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 (CAM5). A Quasi-Monte Carlo (QMC) sampling approach is adopted to effectively explore the high-dimensional parameter space and a generalized linear model is applied to study the responses of simulated cloud fields to tunable parameters. Our results show that the variance in simulated low-cloud properties (cloud fraction and liquid water path) can be explained by the selected tunable parameters in two different ways: macrophysics itself and its interaction with microphysics. First, the parameters related to dynamic and thermodynamic turbulent structure and double Gaussian closure are found to be the most influential parameters for simulating low clouds. The spatial distributions of the parameter contributions show clear cloud-regime dependence. Second, because of the coupling between cloud macrophysics and cloud microphysics, the coefficient of the dissipation term in the total water variance equation is influential. This parameter affects the variance of in-cloud cloud water, which further influences microphysical process rates, such as autoconversion, and eventually low-cloud fraction. This study improves understanding of HOC behavior associated with parameter uncertainties and provides valuable insights for the interaction of macrophysics and microphysics. © 2015. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75984
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Pacific Northwest National Laboratory, Richland, WA, United States; State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Climate Change Research Center, Chinese Academy of Sciences, Beijing, China; Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, China; University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States; National Center for Atmospheric Research, Boulder, CO, United States

Recommended Citation:
Guo Z,, Wang M,, Qian Y,et al. Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM)[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(3)
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