DassFlow v1.0: a variational data assimilation software for river flows

Dassflow is a computational software for river hydraulics (floods), especially designed for variational data assimilation. The forward model is based on the bidimensional shallow-water equations, solved by a finite volume method (HLLC approximate Riemann solver). It is written in Fortran 95. The adjoint code is generated by the automatic differentiation tool Tapenade. Thus, Dassflow software includes the forward solver, its adjoint code, the full optimization framework (based on the M1QN3 minimization routine) and benchmarks. The generation of new data assimilation twin experiments is easy. The software is interfaced with few pre and post-processors (mesh generators, GIS tools and visualization tools), which allows to treat real data.

Data and Resources

Additional Info

Field Value
Source https://hal.science/hal-00908169
Author Honnorat, Marc, Marin, Joel, Monnier, Jerome, Lai, Xijun
Maintainer CCSD
Last Updated May 8, 2026, 03:22 (UTC)
Created May 8, 2026, 03:22 (UTC)
Identifier Report N°: RR-6150
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Modelling, Observations, Identification for Environmental Sciences (MOISE) ; Centre Inria de l'Université Grenoble Alpes ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK) ; Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)
creator Honnorat, Marc
date 2007-05-08T00:00:00
harvest_object_id 2b3edba5-b7e5-445b-ac07-13f7e5243986
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-27T00:00:00
set_spec type:REPORT