An easy-to-implement and efficient data assimilation method for the identification of the initial condition: the Back and Forth Nudging (BFN) algorithm

Abstract : This paper deals with a new data assimilation algorithm called the Back and Forth Nudging. The standard nudging technique consists in adding to the model equations a relaxation term, which is supposed to force the model to the observations. The BFN algorithm consists of repeating forward and backward resolutions of the model with relaxation (or nudging) terms, that have opposite signs in the direct and inverse resolutions, so as to make the backward evolution numerically stable. We then applied the Back and Forth Nudging algorithm to a simple non-linear model: the 1D viscous Burgers' equations. The tests were carried out through several cases relative to the precision and density of the observations. These simulations were then compared with both the variational assimilation (VAR) and quasi-inverse (QIL) algorithms. The comparisons deal with the programming, the convergence, and time computing for each of these three algorithms.
Type de document :
Communication dans un congrès
International Conference on Inverse Problems in Engineering, Jun 2008, Dourdan, France. 2008
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00327429
Contributeur : Didier Auroux <>
Soumis le : mercredi 8 octobre 2008 - 14:36:26
Dernière modification le : vendredi 14 septembre 2018 - 09:16:05
Document(s) archivé(s) le : vendredi 4 juin 2010 - 12:20:23

Fichier

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

Identifiants

  • HAL Id : inria-00327429, version 1

Citation

Didier Auroux, Patrick Bansart, Jacques Blum. An easy-to-implement and efficient data assimilation method for the identification of the initial condition: the Back and Forth Nudging (BFN) algorithm. International Conference on Inverse Problems in Engineering, Jun 2008, Dourdan, France. 2008. 〈inria-00327429〉

Partager

Métriques

Consultations de la notice

394

Téléchargements de fichiers

118