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《Meteorology and Disaster Reduction Research》 2007-01
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Overview of Using Satellite Data on Four-Dimensional Variational Data Assimilation on Lateral Layer

CHEN Jian-ping1,2, ZHOU Wei-can2, GUAN Yuan-hong2, YIN Jie1 (1. Jiangxi Provincial Meteorological Observatory, Nanchang 330046, China; 2. Nanjing University of Information Science & Technology, Nanjing 210044, China)  
At present numerical weather prediction is one of the major methods in weather forecasting, and data assimilation is important. Though referring to domestic and overseas related articles for the past few years, a little comprehensive summarization for the study development using satellite data on later layer with four-dimensional variational data assimilation is presented, and the main research methods in data assimilation-optimal interpolation and variation method are introduced simply. The result shows that variational method makes obvious improvement for initial field, compared with the statistical interpolation method, variational data assimilation has apparent dominance. Theoretically, variation method can assimilate all types of atmospheric detecting data, and having strong assimilation capacity for non-conventional observation data. Not only can it acquire the information in observation to the utmost extent, but also it avoids different kinds of ill-posed problem.
【Fund】: 南京信息工程大学科研基金项目(编号:Y521);; 江西省气象局“天气预警预报气候预测预估技术研究”项目
【CateGory Index】: P458.12
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