globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015MS000537
Scopus记录号: 2-s2.0-84977930045
论文题名:
The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection
作者: Romps D; M
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期:1
起始页码: 319
结束页码: 344
语种: 英语
英文关键词: Air entrainment ; Climate models ; Computational efficiency ; Large eddy simulation ; Parameterization ; Stochastic systems ; Computationally efficient ; Convective flux ; Convective parameterization ; Global climate model ; Infinite numbers ; MAtrix multiplication ; Poisson process ; Single-column model ; Stochastic models ; climate modeling ; cloud cover ; computer simulation ; convective cloud ; entrainment ; estimation method ; Eulerian analysis ; global climate ; large eddy simulation ; numerical model ; parameterization ; stochasticity
英文摘要: Convective entrainment is a process that is poorly represented in existing convective parameterizations. By many estimates, convective entrainment is the leading source of error in global climate models. As a potential remedy, an Eulerian implementation of the Stochastic Parcel Model (SPM) is presented here as a convective parameterization that treats entrainment in a physically realistic and computationally efficient way. Drawing on evidence that convecting clouds comprise air parcels subject to Poisson-process entrainment events, the SPM calculates the deterministic limit of an infinite number of such parcels. For computational efficiency, the SPM groups parcels at each height by their purity, which is a measure of their total entrainment up to that height. This reduces the calculation of convective fluxes to a sequence of matrix multiplications. The SPM is implemented in a single-column model and compared with a large-eddy simulation of deep convection.
Citation statistics:
被引频次[WOS]:29   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75941
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: Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Recommended Citation:
Romps D,M. The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(1)
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