GSTDTAP  > 气候变化
DOI10.1002/2017JD026565
Investigating the dependence of SCM simulated precipitation and clouds on the spatial scale of large-scale forcing at SGP
Tang, Shuaiqi1; Zhang, Minghua2; Xie, Shaocheng1
2017-08-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:16
文章类型Article
语种英语
国家USA
英文摘要

Large-scale forcing data, such as vertical velocity and advective tendencies, are required to drive single-column models (SCMs), cloud-resolving models, and large-eddy simulations. Previous studies suggest that some errors of these model simulations could be attributed to the lack of spatial variability in the specified domain-mean large-scale forcing. This study investigates the spatial variability of the forcing and explores its impact on SCM simulated precipitation and clouds. A gridded large-scale forcing data during the March 2000 Cloud Intensive Operational Period at the Atmospheric Radiation Measurement program's Southern Great Plains site is used for analysis and to drive the single-column version of the Community Atmospheric Model Version 5 (SCAM5). When the gridded forcing data show large spatial variability, such as during a frontal passage, SCAM5 with the domain-mean forcing is not able to capture the convective systems that are partly located in the domain or that only occupy part of the domain. This problem has been largely reduced by using the gridded forcing data, which allows running SCAM5 in each subcolumn and then averaging the results within the domain. This is because the subcolumns have a better chance to capture the timing of the frontal propagation and the small-scale systems. Other potential uses of the gridded forcing data, such as understanding and testing scale-aware parameterizations, are also discussed.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000416382800020
WOS关键词CONSTRAINED VARIATIONAL ANALYSIS ; COMMUNITY ATMOSPHERE MODEL ; FINE-RESOLUTION ANALYSES ; SINGLE-COLUMN MODELS ; PHASE ARCTIC CLOUD ; CLIMATE SIMULATIONS ; OBJECTIVE ANALYSIS ; DRYING PROFILES ; CONVECTION ; PARAMETERIZATION
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/33837
专题气候变化
作者单位1.Lawrence Livermore Natl Lab, Livermore, CA 94550 USA;
2.SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA
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Tang, Shuaiqi,Zhang, Minghua,Xie, Shaocheng. Investigating the dependence of SCM simulated precipitation and clouds on the spatial scale of large-scale forcing at SGP[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(16).
APA Tang, Shuaiqi,Zhang, Minghua,&Xie, Shaocheng.(2017).Investigating the dependence of SCM simulated precipitation and clouds on the spatial scale of large-scale forcing at SGP.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(16).
MLA Tang, Shuaiqi,et al."Investigating the dependence of SCM simulated precipitation and clouds on the spatial scale of large-scale forcing at SGP".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.16(2017).
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