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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
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
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.
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Conference papers
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https://hal.inria.fr/hal-00648562
Contributor : Arthur Vidard <>
Submitted on : Tuesday, December 6, 2011 - 9:23:11 AM
Last modification on : Friday, July 3, 2020 - 4:48:22 PM

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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. ⟨hal-00648562⟩

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