DOI: 10.1002/2015MS000567
Scopus记录号: 2-s2.0-84992305862
论文题名: Sensitivity of summer ensembles of fledgling superparameterized U.S. mesoscale convective systems to cloud resolving model microphysics and grid configuration
作者: Elliott E ; J ; , Yu S ; , Kooperman G ; J ; , Morrison H ; , Wang M ; , Pritchard M ; S
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期: 2 起始页码: 634
结束页码: 649
语种: 英语
英文关键词: Climate change
; Climate models
; Ice control
; Orthogonal functions
; Climate change simulations
; Cloud microphysics
; Community atmosphere model
; Empirical Orthogonal Function
; Interannual variability
; Mesoscale
; Mesoscale Convective System
; Superparameterization
; Storms
; algorithm
; climate change
; climate modeling
; cloud microphysics
; convective system
; fledging
; global climate
; mesoscale meteorology
; parameterization
; sensitivity analysis
; United States
英文摘要: The sensitivities of simulated mesoscale convective systems (MCSs) in the central U.S. to microphysics and grid configuration are evaluated here in a global climate model (GCM) that also permits global-scale feedbacks and variability. Since conventional GCMs do not simulate MCSs, studying their sensitivities in a global framework useful for climate change simulations has not previously been possible. To date, MCS sensitivity experiments have relied on controlled cloud resolving model (CRM) studies with limited domains, which avoid internal variability and neglect feedbacks between local convection and larger-scale dynamics. However, recent work with superparameterized (SP) GCMs has shown that eastward propagating MCS-like events are captured when embedded CRMs replace convective parameterizations. This study uses a SP version of the Community Atmosphere Model version 5 (SP-CAM5) to evaluate MCS sensitivities, applying an objective empirical orthogonal function algorithm to identify MCS-like events, and harmonizing composite storms to account for seasonal and spatial heterogeneity. A five-summer control simulation is used to assess the magnitude of internal and interannual variability relative to 10 sensitivity experiments with varied CRM parameters, including ice fall speed, one-moment and two-moment microphysics, and grid spacing. MCS sensitivities were found to be subtle with respect to internal variability, and indicate that ensembles of over 100 storms may be necessary to detect robust differences in SP-GCMs. These results emphasize that the properties of MCSs can vary widely across individual events, and improving their representation in global simulations with significant internal variability may require comparison to long (multidecadal) time series of observed events rather than single season field campaigns. © 2016. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75898
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 System Science, University of California Irvine, Irvine, CA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China; Jiangsu Collaborative Innovation Center of Climate Change, Nanjing, China
Recommended Citation:
Elliott E,J,, Yu S,et al. Sensitivity of summer ensembles of fledgling superparameterized U.S. mesoscale convective systems to cloud resolving model microphysics and grid configuration[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(2)