Ocean Data Assimilation with Background Error Covariance Derived from OGCM Outputs

• Published in: Advances in atmospheric sciences Vol. 21; no. 2; pp. 181 - 192
• Main Author: 符伟伟 周广庆 王会军 队干部
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Nature B.V 01.03.2004; Nansen-Zhu International Research Centre (NZC), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029
• Subjects: Atmosphere; Data assimilation; Data collection; Meteorology; 协方差; 数字模拟; 数据同化; 海洋调查; covariance; data assimilation; model output; background error
• ISSN: 0256-1530; 1861-9533
• DOI: 10.1007/BF02915704

The background error covariance plays an important role in modern data assimilation and analysissystems by determining the spatial spreading of information in the data. A novel method based on modeloutput is proposed to estimate background error covariance for use in Optimum Interpolation. At everymodel level, anisotropic correlation scales are obtained that give a more detailed description of the spatialcorrelation structure. Purthermore, the impact of the background field itself is included in the backgrounderror covariance. The methodology of the estimation is presented and the structure of the covariance isexamined, The results of 20-year assimilation experiments are compared with observations from TOGATAO (The Tropical Ocean-Global Atmosphere~Tropical Atmosphere Ocean) array and other analysis data.