Skip to Main content Skip to Navigation
Book sections

Data Assimilation in hydrology: Variational Approach

François-Xavier Le Dimet 1 William Castaings 1 Pierre Ngnepieba 2 Baxter Vieux 3
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019], LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Inria Grenoble - Rhône-Alpes
Abstract : Predicting the evolution of the components of the water cycle is an important issue both from the scientific and social points of view. The basic problem is to gather all the available information in order to be able to retrieve at best the state of the water cycle. Among some others methods variational methods have a strong potential to achieve this goal. In this paper we will present applications of variational methods to basic problems in hydrology: retrieving the hydrologic state of at a location optimizing the parametrization of hydrologic models and doing sensitivity analysis. The examples will come from surface water as well as underground water. Perspectives of the application of variational methods are discussed.
Document type :
Book sections
Complete list of metadatas

https://hal.inria.fr/inria-00391372
Contributor : Arthur Vidard <>
Submitted on : Wednesday, June 3, 2009 - 5:58:44 PM
Last modification on : Friday, July 17, 2020 - 11:38:57 AM

Identifiers

Collections

Citation

François-Xavier Le Dimet, William Castaings, Pierre Ngnepieba, Baxter Vieux. Data Assimilation in hydrology: Variational Approach. Seon Park and Liang Xu. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, Springer, pp.367-407, 2009, 978-3-540-71055-4. ⟨10.1007/978-3-540-71056-1_20⟩. ⟨inria-00391372⟩

Share

Metrics

Record views

745