Spatially distributed calibration of a hydrological model with variational optimization constrained by physiographic maps for flash flood forecasting in France.

Autor: Jay-Allemand, Maxime, Demargne, Julie, Garambois, Pierre-André, Javelle, Pierre, Gejadze, Igor, Colleoni, François, Organde, Didier, Arnaud, Patrick, Fouchier, Catherine

Publikováno v: Proceedings of the International Association of Hydrological Sciences (PIAHS); 2024, Issue 385, p281-290, 10p

The study of the local sensitivity of functionals of the optimal solution to observational data and the heat flux input data in a variational assimilation problem for the sea thermodynamics model.

Autor: Shutyaev, Victor P., Parmuzin, Eugene I., Gejadze, Igor Yu.

Publikováno v: Russian Journal of Numerical Analysis & Mathematical Modelling; Dec2023, Vol. 38 Issue 6, p381-391, 11p

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Optimal solution error quantification in variational data assimilation involving imperfect models

Autor: Shutyaev, Victor, Gejadze, Igor, Vidard, Arthur, Le Dimet, Francois-Xavier

Publikováno v: International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids, Wiley, 2017, 83 (3), pp.276-290. ⟨10.1002/fld.4266⟩
International Journal for Numerical Methods in Fluids, 2017, 83 (3), pp.276-290. ⟨10.1002/fld.4266⟩

[Departement_IRSTEA]Eaux [TR1_IRSTEA]GEUSI; International audience; The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimalcontrol problem to find the initial condition. If the model is ‘perfect,’

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::88bc91bc3570dc03954890399eff8df4
https://hal.inria.fr/hal-01411666

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