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LIU Ye,ZHAO Yanling. 2011. Assimilation of temperature and salinity using isotropic and anisotropic recursive filters in Tropic Pacific. Acta Oceanologica Sinica, (1):15-23
Assimilation of temperature and salinity using isotropic and anisotropic recursive filters in Tropic Pacific
Assimilation of temperature and salinity using isotropic and anisotropic recursive filters in Tropic Pacific
Received:March 06, 2009  Revised:January 27, 2010
DOI:10.1007/s13131-011-0086-7
Key words:recursive filter  anisotropic  isotropic  background error covariance
中文关键词:  recursive filter  anisotropic  isotropic  background error covariance
基金项目:Major National Scientific Research Project on Global Change under contract No. 2010CB951901; the National Science Foundation of China under contract No. 40821092; Special Fund for Public Welfare Industry (Meteorology) under contract No.GYHY200906018.
Author NameAffiliationE-mail
LIU Ye National Marine Environmental Forecasting Center, Beijing 100081, China liuye@mail.iap.ac.cn 
ZHAO Yanling No 61741 Army Troop, Beijing 10081, China  
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Abstract:
      A data assimilation scheme used in the updated Ocean three-dimensional Variational Assimilation System (OVALS), OVALS2, is described. Based on a recursive filter (RF) to estimate the background error covariance (BEC) over a predetermined scale, this new analysis system can be implemented with anisotropic and isotropic BECs. Similarities and differences of these two BEC schemes are briefly discussed and their impacts on the model simulation are also investigated. An idealized experiment demonstrates the ability of the updated analysis system to construct different BECs. Furthermore, a set of three years experiments is implemented by assimilating expendable bathythermograph (XBT) and ARGO data into a Tropical Pacific circulation model. The TAO and WOA01 data are used to validate the assimilation results. The results show that the model simulations are substantially improved by OVALS2. The inter-comparison of isotropic and anisotropic BEC shows that the corresponding temperature and salinity produced by the anisotropic BEC are almost as good as those obtained by the isotropic one. Moreover, the result of anisotropic RF is slightly closer to WOA01 and TAO than that of isotropic RF in some special area (e.g. the cold tongue area in the Tropic Pacific).
中文摘要:
      A data assimilation scheme used in the updated Ocean three-dimensional Variational Assimilation System (OVALS), OVALS2, is described. Based on a recursive filter (RF) to estimate the background error covariance (BEC) over a predetermined scale, this new analysis system can be implemented with anisotropic and isotropic BECs. Similarities and differences of these two BEC schemes are briefly discussed and their impacts on the model simulation are also investigated. An idealized experiment demonstrates the ability of the updated analysis system to construct different BECs. Furthermore, a set of three years experiments is implemented by assimilating expendable bathythermograph (XBT) and ARGO data into a Tropical Pacific circulation model. The TAO and WOA01 data are used to validate the assimilation results. The results show that the model simulations are substantially improved by OVALS2. The inter-comparison of isotropic and anisotropic BEC shows that the corresponding temperature and salinity produced by the anisotropic BEC are almost as good as those obtained by the isotropic one. Moreover, the result of anisotropic RF is slightly closer to WOA01 and TAO than that of isotropic RF in some special area (e.g. the cold tongue area in the Tropic Pacific).
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