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Contribution à l'étude de la dynamique du thon rouge Atlantique - Approches écologiques et océanographiques ArchiMer
Royer, Francois.
[1] The spatial and temporal dynamics of Atlantic bluefin tuna, Thunnus thynnus, are here investigated through data analysis and statistical modelling. The local, regional and global scales are considered successively. A phenomenological approach is favoured, as well the extended use of image processing tools and estimation theory techniques. Their potential role in partially observed or ill-defined problems in marine ecology is presented and discussed. The acute need for frequency-explicit methods is in particular stressed out. Hypothesis testing and significance testing of ecological space/time processes are further discussed. [2] The first chapter depicts how surface fronts can structure the pelagic habitat: dedicated detection and mapping tools are...
Tipo: Text Palavras-chave: Archival tags; Kalman filter; Density dependence; Oceanic fronts; Time series; Thunnus thynnus; Marques archives; Filtre de Kalman; Densite dependence; Fronts oceaniques; Series temporelles; Thunnus thynnus.
Ano: 2005 URL: http://archimer.ifremer.fr/doc/2005/these-636.pdf
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Data assimilation in a marine ecosystem model of the Ligurian Sea. ArchiMer
Magri Hoeltzener, Stephanie; Brasseur, Pierre; Lacroix, Geneviève.
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 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.
Ano: 2005 URL: http://archimer.ifremer.fr/doc/2005/publication-687.pdf
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