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Scientific design and preliminary results of three-dimensional variational data assimilation system of GRAPES

查看全文 作  者:XUE [1]JiShan;ZHUANG [1]ShiYu;ZHU [2]GuoFu;ZHANG [2]Hua;LIU [3]ZhiQuan;LIU [1]Yan;ZHUANG [1]ZhaoRong 高影响力作者 机构地区:[1]State Key Laboratory for Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China;[2]National Meteorological Center, China Meteorological Administration, Beijing 100081, China;[3]National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China高影响力机构 出  处:《Chinese Science Bulletin》索引2008年第53卷第22期,共12页高影响力期刊 基  金:Key Technologies Research and Development Program (Grant No. 2001BA607B and 2001BA607B02);National Natural Science Foundation of China (Grant No. 40518001) 摘  要:The scientific design and preliminary results of the data assimilation component of the Global-Regional Prediction and Assimilation System (GRAPES) recently developed in China Meteorological Administration (CMA) are presented in this paper. This is a three-dimensional variational (3DVar) assimilation system set up on global and regional grid meshes favorable for direct assimilation of the space-based remote sensing data and matching the frame work of the prediction model GRAPES. The state variables are assumed to decompose balanced and unbalanced components. By introducing a simple transformation from the state variables to the control variables with a recursive or spectral filter, the convergence rate of iteration for minimization of the cost function in 3DVar is greatly accelerated. The definition of dynamical balance depends on the characteristic scale of the circulation considered. The ratio of the balanced to the unbalanced parts is controlled by the prescribed statistics of background errors. Idealized trials produce the same results as the analytic solution. The results of real data case studies show the capability of the system to improve analysis compared to the traditional schemes. Finally, further development of the system is discussed. 关 键 词:数值天气预报 气象学 天气预测 气象分析
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