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Ocean Data Assimilation with Background Error Covariance Derived from OGCM Outputs


doi: 10.1007/BF02915704

  • The background error covariance plays an important role in modern data assimilation and analysis systems by determining the spatial spreading of information in the data. A novel method based on model output is proposed to estimate background error covariance for use in Optimum Interpolation. At every model level, anisotropic correlation scales are obtained that give a more detailed description of the spatial correlation structure. Furthermore, the impact of the background field itself is included in the background error covariance. The methodology of the estimation is presented and the structure of the covariance is examined. 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.
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Manuscript History

Manuscript received: 10 March 2004
Manuscript revised: 10 March 2004
通讯作者: 陈斌, bchen63@163.com
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Ocean Data Assimilation with Background Error Covariance Derived from OGCM Outputs

  • 1. Nansen-Zhu International Research Centre (NZC), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029,Nansen-Zhu International Research Centre (NZC), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029,Nansen-Zhu International Research Centre (NZC), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029

Abstract: The background error covariance plays an important role in modern data assimilation and analysis systems by determining the spatial spreading of information in the data. A novel method based on model output is proposed to estimate background error covariance for use in Optimum Interpolation. At every model level, anisotropic correlation scales are obtained that give a more detailed description of the spatial correlation structure. Furthermore, the impact of the background field itself is included in the background error covariance. The methodology of the estimation is presented and the structure of the covariance is examined. 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.

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