On optimal solution error in variational data assimilation: theoretical aspects

François-Xavier Le Dimet 1 Victor P. Shutyaev 2 Igor Yu Gejadze 3
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5227
Résumé : no abstract
Document type :
Journal articles
Complete list of metadatas

https://hal.inria.fr/inria-00391910
Contributor : Arthur Vidard <>
Submitted on : Friday, June 5, 2009 - 10:31:59 AM
Last modification on : Thursday, January 11, 2018 - 6:21:30 AM

Identifiers

  • HAL Id : inria-00391910, version 1

Collections

Citation

François-Xavier Le Dimet, Victor P. Shutyaev, Igor Yu Gejadze. On optimal solution error in variational data assimilation: theoretical aspects. Russian Journal of Numerical Analysis and Mathematical Modelling, De Gruyter, 2006, 21 (2), pp.139--152. ⟨inria-00391910⟩

Share

Metrics

Record views

283