Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction
Peng, S; Xie, L; Liu, B; Semazzi, F; xie@ncsu.edu
2010
发表期刊MONTHLY WEATHER REVIEW
ISSN0027-0644
卷号138期号:4页码:1307-1318
摘要A method referred to as scale-selective data assimilation (SSDA) is designed to inject the large-scale components of the atmospheric circulation from a global model into a regional model to improve regional climate simulations and predictions. The SSDA is implemented through the following procedure: 1) using a low-pass filter to extract the large-scale components of the atmospheric circulation from global analysis or model forecasts; 2) applying the filter to extract the regional-scale and the large-scale components of the atmospheric circulation from the regional model simulations or forecasts; 3) assimilating the large-scale circulation obtained from the global model into the corresponding component simulated by the regional model using the method of three-dimensional variational data assimilation (3DVAR) while maintaining the small-scale components from the regional model during the assimilation cycle; 4) combining the small-scale and the assimilated large-scale components as the adjusted forecasts by the regional climate model and allowing the two components to mutually adjust outside the data assimilation cycle. A case study of summer 2005 seasonal climate hindcasting for the regions of the Atlantic and the eastern United States indicates that the large-scale components from the Global Forecast System (GFS) analysis can be effectively assimilated into the regional model using the scale-selective data assimilation method devised in this study, resulting in an improvement in the overall results from the regional climate model.
部门归属[Peng, Shiqiu; Xie, Lan; Liu, Bin; Semazzi, Fredrick] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA; [Peng, Shiqiu] Chinese Acad Sci, S China Sea Inst Oceanol, Lab Trop Marine Environm Dynam, Guangzhou, Guangdong, Peoples R China
学科领域Meteorology & Atmospheric Sciences
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收录类别sci
资助项目LED
WOS记录号WOS:000278116200017
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被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/6295
专题热带海洋环境国家重点实验室(LTO)
通讯作者xie@ncsu.edu
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Peng, S,Xie, L,Liu, B,et al. Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction[J]. MONTHLY WEATHER REVIEW,2010,138(4):1307-1318.
APA Peng, S,Xie, L,Liu, B,Semazzi, F,&xie@ncsu.edu.(2010).Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction.MONTHLY WEATHER REVIEW,138(4),1307-1318.
MLA Peng, S,et al."Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction".MONTHLY WEATHER REVIEW 138.4(2010):1307-1318.
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