Toward Direct Data Assimilation of Image Sequences in Numerical Models

Arthur Vidard 1 Innocent Souopgui 1 Olivier Titaud 1 François-Xavier Le Dimet 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : A large number of satellites provide a significant amount of photographs of the earth. Attempt to perform Image Assimilation have been done using pseudo-observation techniques: they provide some apparent velocity fields, which are assimilated as classical Eulerian velocity observations. However these measurements are obtained by procedures that are decoupled with the system. Here, we suggest a more consistent approach where image sequences are directly incorporated into the Optimality System in a Variational Data assimilation framework.
Type de document :
Communication dans un congrès
ICIAM2011 - 8th International Congress on Industrial & Applied Mathematics, Jul 2011, Vancouver, Canada. 2011
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https://hal.inria.fr/hal-00648562
Contributeur : Arthur Vidard <>
Soumis le : mardi 6 décembre 2011 - 09:23:11
Dernière modification le : mercredi 11 avril 2018 - 01:58:30

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  • HAL Id : hal-00648562, version 1

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Arthur Vidard, Innocent Souopgui, Olivier Titaud, François-Xavier Le Dimet. Toward Direct Data Assimilation of Image Sequences in Numerical Models. ICIAM2011 - 8th International Congress on Industrial & Applied Mathematics, Jul 2011, Vancouver, Canada. 2011. 〈hal-00648562〉

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