On variational data assimilation for 1D and 2D fluvial hydraulics - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

On variational data assimilation for 1D and 2D fluvial hydraulics

Abstract

We address two problems related to variational data assimilation (VDA) as applied to river hydraulics (1D and 2D shallow water models). First, we seek to estimate accurately some parameters such as the inflow discharge, manning coefficients, the topography and/or the initial state. We develop a method which allow to assimilate lagrangian data (trajectory particles at the surface e.g. extracted from video images). Second, we develop a joint data assimilation - coupling method. We seek to couple accurately a 1D global net-model (rivers net) and a local 2D shallow water model (zoom into a flooded area), while we assimilate data. Numerical twin experiments are presented.
Fichier principal
Vignette du fichier
MonnierEtAl.pdf (159.54 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00259096 , version 1 (26-02-2008)

Identifiers

Cite

Igor Gejadze, Marc Honnorat, François-Xavier Le Dimet, Jerome Monnier. On variational data assimilation for 1D and 2D fluvial hydraulics. European Conference on Mathematics for Industry (14th ECMI), Edts Bonilla-Moscovo-Platero-Vega, Jul 2006, Madrid, Spain. pp.361-365, ⟨10.1007/978-3-540-71992-2_53⟩. ⟨inria-00259096⟩
269 View
319 Download

Altmetric

Share

Gmail Facebook X LinkedIn More