Assimilation directe de séquences d'images de traceur passif : application aux équations de Saint-Venant
PAPADAKIS, Nicolas
Modelling, Observations, Identification for Environmental Sciences [MOISE]
Institut de Mathématiques de Bordeaux [IMB]
< Leer menos
Modelling, Observations, Identification for Environmental Sciences [MOISE]
Institut de Mathématiques de Bordeaux [IMB]
Idioma
fr
Communication dans un congrès
Este ítem está publicado en
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), 2013-09-03, Brest. 2013-07-01p. 1-4
Resumen en inglés
In the last decades satellites datas quantities and qualities have increase. Currently, satellite images sequences, which could provide a lot of information on atmospheric or oceanic system dynamic, are underused in numerical ...Leer más >
In the last decades satellites datas quantities and qualities have increase. Currently, satellite images sequences, which could provide a lot of information on atmospheric or oceanic system dynamic, are underused in numerical weather forcasting. The aim of this work is to provide new methods to use this information. In this study, we address the topic of monitoring the initial state of a system through the variational assimilation of indirect images sequence. The feasability of the approach is demonstrated on twin experiments realised with a shallow-water model. The influence of the distance definition between two images sequences is studied in presence of data noise.< Leer menos
Proyecto ANR
Analyse et simulation d'écoulements fluides à partir de séquences d'images : application à l'étude d'écoulements géophysiques - ANR-09-SYSC-0005
Orígen
Importado de HalCentros de investigación