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A semi-evolutive filter with partially local correction basis for data assimilation in oceanography ArchiMer
Hoteit, I; Pham, Dt; Blum, J.
A new data assimilation scheme derived from the singular evolutive extended Kalman (Seek) filter is introduced. The novel feature of the new filter is its correction basis which is partially local in the sense that it consists of "global" and "local" vectors, the later obtained from a local empirical orthogonal functions (Eof) analysis. Such an analysis was introduced in order to better represent the local variability of the ocean. This not only significantly reduces the implementation cost but may also improve the representativeness of the correction basis of the filter. The performance of this scheme is evaluated through twin experiments conducted in a realistic setting of the OPA model over the tropical Pacific zone. The results are compared against...
Tipo: Text Palavras-chave: Filtre Seek; Analyse Eof; Facteur oublié; Data assimilation; Seek filter; Eof analysis; Forgetting factor.
Ano: 2003 URL: https://archimer.ifremer.fr/doc/00321/43244/42973.pdf
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