Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026565 |
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
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ISSN | 2169-897X |
EISSN | 2169-8996 |
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 |
推荐引用方式 GB/T 7714 | 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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