globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2014MS000340
Scopus记录号: 2-s2.0-84932199444
论文题名:
Restricting 32-128 km horizontal scales hardly affects the MJO in the Superparameterized Community Atmosphere Model v.3.0 but the number of cloud-resolving grid columns constrains vertical mixing
作者: Pritchard M; S; , Bretherton C; S; , Demott C; A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2014
卷: 6, 期:3
起始页码: 723
结束页码: 739
语种: 英语
英文关键词: Atmospheric radiation ; Climate models ; Dynamics ; Mixing ; Rain ; Anomaly structures ; Cloud resolving model ; Community atmosphere model ; Computationally efficient ; Intra-seasonal ; Madden-Jullian oscillation ; multiscale ; Superparameterization ; Climatology ; climate modeling ; convective system ; efficiency measurement ; Madden-Julian oscillation ; mesoscale meteorology ; parameterization ; precipitation intensity ; shortwave radiation ; ventilation ; vertical mixing
英文摘要: The effects of artificially restricting the 32-128 km horizontal scale regime on MJO dynamics in the Superparameterized Community Atmosphere Model v.3.0 have been explored through reducing the extent of its embedded cloud resolving model (CRM) arrays. Two and four-fold reductions in CRM extent (from 128 to 64 km and 32 km) produce statistical composite MJO signatures with spatial scale, zonal phase speed, and intrinsic wind-convection anomaly structure that are all remarkably similar to the standard SPCAM's MJO. This suggests that the physics of mesoscale convective organization on 32-128 km scales are not critical to MJO dynamics in SPCAM and that reducing CRM extent may be a viable strategy for 400% more computationally efficient analysis of superparameterized MJO dynamics. However several unexpected basic state responses caution that extreme CRM domain reduction can lead to systematic mean state issues in superparameterized models. We hypothesize that an artificial limit on the efficiency of vertical updraft mixing is set by the number of grid columns available for compensating subsidence in the embedded CRM arrays. This can lead to reduced moisture ventilation supporting too much liquid cloud and thus an overly strong cloud shortwave radiative forcing, particularly in regions of deep convection. Key Points Physics of MMF MJO are insensitive to near elimination of meso-beta-scale The efficiency of deep convective mixing in MMFs is limited by CRM extent 4x speedup of superparameterized models possible for MJO analysis © 2014. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76114
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 Sciences, University of California, Irvine, CA, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States

Recommended Citation:
Pritchard M,S,, Bretherton C,et al. Restricting 32-128 km horizontal scales hardly affects the MJO in the Superparameterized Community Atmosphere Model v.3.0 but the number of cloud-resolving grid columns constrains vertical mixing[J]. Journal of Advances in Modeling Earth Systems,2014-01-01,6(3)
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