Assimilation of Images in Numerical Models in Geophysics

Arthur Vidard 1 François-Xavier Le Dimet 1 Innocent Souopgui 1 Olivier Titaud 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Predicting the evolution of geophysical fluids (ocean, atmosphere, continental water) is a ma jor scientific and societal challenge. Achieving this goal requires to consider all the available information: numerical models, observations, error statistics... In order to combine these heterogeneous source of information one uses the data assimilation techniques. During the last two decades, many visible and infrared band sensors have been launched on different satellites. This provide a large amount sequence of images of the earth system. This kind of information is underused in current data assimilation systems. In this paper we will describe how to use optimal control methods for data assimilation and in particular we will emphasise on techniques allowing to assimilate sequences of images.
Type de document :
Communication dans un congrès
José Herskovits. EngOpt 2008 - International Conference on Engineering Optimization, Jun 2008, Rio de Janeiro, Brazil. 2008
Liste complète des métadonnées

Littérature citée [5 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00319972
Contributeur : Arthur Vidard <>
Soumis le : mardi 9 septembre 2008 - 18:28:21
Dernière modification le : mercredi 11 avril 2018 - 01:58:48
Document(s) archivé(s) le : lundi 8 octobre 2012 - 13:02:32

Fichier

EngOpt_paper.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00319972, version 1

Citation

Arthur Vidard, François-Xavier Le Dimet, Innocent Souopgui, Olivier Titaud. Assimilation of Images in Numerical Models in Geophysics. José Herskovits. EngOpt 2008 - International Conference on Engineering Optimization, Jun 2008, Rio de Janeiro, Brazil. 2008. 〈inria-00319972〉

Partager

Métriques

Consultations de la notice

437

Téléchargements de fichiers

149