http://www.cnr.it/ontology/cnr/individuo/prodotto/ID48955
Lagrangian data assimilation in multi-layer primitive equation ocean models (Articolo in rivista)
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- Label
- Lagrangian data assimilation in multi-layer primitive equation ocean models (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Molcard A. (1), Griffa A. (2), Ozgokmen T.S. (3) (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- (1) RSMAS/MPO, University of Miami, Miami, Florida, and CNR ISAC-TO, Torino, Italy;
(2) RSMAS/MPO, University of Miami, Miami, Florida, and CNR ISMAR-SP, La Spezia, Italy;
(3) RSMAS/MPO, University of Miami, Miami, Florida
(literal)
- Titolo
- Lagrangian data assimilation in multi-layer primitive equation ocean models (literal)
- Abstract
- Because of the increases in the realism of OGCMs and in the coverage of Lagrangian datasets in most of the world's oceans, assimilation of Lagrangian data in OGCMs emerges as a natural avenue to improve ocean state forecast with many potential practical applications, such as environmental pollutant transport, biological, and naval-related problems.
In this study, a Lagrangian data assimilation method, which was introduced in prior studies in the context of single-layer quasigeostrophic and primitive equation models, is extended for use in multilayer OGCMs using statistical correlation coefficients between velocity fields in order to project the information from the data-containing layer to the other model layers. The efficiency of the assimilation scheme is tested using a set of twin experiments with a three-layer model, as a function of the layer in which the floats are launched and of the assimilation sampling period normalized by the Lagrangian time scale of motion.
(literal)
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