Data/hora: 12/06/2024 05:26:44

Provedor de dados: | 5
País: | France
Título: | Data assimilation in a marine ecosystem model of the Ligurian Sea.
Autores: | Magri Hoeltzener, Stephanie; Brasseur, Pierre; Lacroix, Geneviève.
Data: | 2005-09
Ano: | 2005
Palavras-chave: | Ligurian Sea; Kalman filter; Data assimilation; Numeric modelling; Physical/biogeochemical model; Mer Ligure; Filtre de Kalman; Assimilation de données; Modélisation numérique; Océanographie physique/biogéochimique.
Resumo: | The objective is to explore the potentialities of sequential statistical estimation methods to assimilate observations in a primary production biological model coupled to a vertical 1D hydrodynamical model characterised by a k-l turbulent closure. The assimilation method is derived from the SEEK filter (Singular Evolutive Extended Kalman filter), which uses an error subspace represented by multivariate empirical orthogonal functions (EOFs). Real data assimilation experiments collected at sea have been realised to reconstruct the variability of the Ligurian Sea ecosystem during the FRONTAL field experiment.
Tipo: | Text
Idioma: | Inglês

Identificador:

http://archimer.ifremer.fr/doc/2005/publication-687.pdf

DOI:10.1016/j.crte.2005.05.004

Editor: | Elsevier
Relação: | http://archimer.ifremer.fr/doc/00000/687/
Formato: | application/pdf
Fonte: | Comptes Rendus Geoscience (1631-0713) (Elsevier), 2005-09 , Vol. 337 , N. 12 , P. 1065-1074
Fonte: | 2005 Académie des sciences Published by Elsevier SAS