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| Titel |
Comparison of extended and ensemble based Kalman filters with low and high resolution primitive equation ocean models |
| VerfasserIn |
I. Hoteit, G. Korres, G. Triantafyllou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 5 ; Nr. 12, no. 5 (2005-08-02), S.755-765 |
| Datensatznummer |
250010782
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| Publikation (Nr.) |
 copernicus.org/npg-12-755-2005.pdf |
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| Zusammenfassung |
| Kalman filters are widely used for data assimilation into ocean models. The
aim of this study is to discuss the relevance of these filters with high
resolution ocean models. This was investigated through the comparison of two
advanced Kalman filters: the singular evolutive extended Kalman (SEEK) filter
and its ensemble-based variant, called SEIK filter. The two filters were
implemented with the Princeton Ocean model (POM) considering a low spatial
resolution configuration (Mediterranean sea model) and a very high one
(Pagasitikos Gulf coastal model). It is shown that the two filters perform
reasonably well when applied with the low resolution model. However, when the
high resolution model is considered, the behavior of the SEEK filter
seriously degrades because of strong model nonlinearities while the SEIK
filter remains remarkably more stable. Based on the assumption of prior
Gaussian distributions, the linear analysis step of the latter can still be
improved though. |
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