Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the potential of variational calibration for a fully distributed hydrological model: application on a Mediterranean catchment
Maxime Jay-Allemand
RECOVER, INRAE, Aix-Marseille Université, 3275 Route de Cézanne, 13182 Aix-en-Provence, France
INRAE, UMR G-EAU, 361 rue Jean-François Breton, 34196 Montpellier, France
RECOVER, INRAE, Aix-Marseille Université, 3275 Route de Cézanne, 13182 Aix-en-Provence, France
Igor Gejadze
INRAE, UMR G-EAU, 361 rue Jean-François Breton, 34196 Montpellier, France
Patrick Arnaud
RECOVER, INRAE, Aix-Marseille Université, 3275 Route de Cézanne, 13182 Aix-en-Provence, France
Pierre-Olivier Malaterre
INRAE, UMR G-EAU, 361 rue Jean-François Breton, 34196 Montpellier, France
Jean-Alain Fine
HYDRIS Hydrologie, Parc Scientifique Agropolis II, 2196 Boulevard de la Lironde, 34980 Montferrier-sur-Lez, France
Didier Organde
HYDRIS Hydrologie, Parc Scientifique Agropolis II, 2196 Boulevard de la Lironde, 34980 Montferrier-sur-Lez, France
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- Improving parameter regionalization learning for spatialized differentiable hydrological models by assimilation of satellite-based soil moisture data M. Ettalbi et al. 10.1016/j.jhydrol.2025.133300
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- Prévision des crues en milieu montagneux sous climat tropical : exemple de La Réunion F. Baby et al. 10.1080/27678490.2024.2374540
- Does Flash Flood Model Performance Increase with Complexity? Signature and Sensitivity-Based Comparison of Conceptual and Process-Oriented Models on French Mediterranean Cases A. Haruna et al. 10.3390/hydrology9080141
- Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods N. Huynh et al. 10.1016/j.jhydrol.2023.129992
- Sensor Networks, Data Processing, and Inference: The Hydrology Challenge A. Zanella et al. 10.1109/ACCESS.2023.3318739
- A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
- Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area J. Godet et al. 10.5194/nhess-23-3355-2023
- Variational data assimilation to improve subsurface drainage model parameters S. Chelil et al. 10.1016/j.jhydrol.2022.128006
- When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling Y. Song et al. 10.5194/hess-28-3051-2024
- Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains L. Pujol et al. 10.5194/gmd-15-6085-2022
- Will rivers become more intermittent in France? Learning from an extended set of hydrological projections T. Jaouen et al. 10.5194/hess-29-3629-2025
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Latest update: 30 Aug 2025
Short summary
This study contributes to flash flood prediction using a hydrological model. The model describes the spatial properties of the watersheds with hundreds of unknown parameters. The Gardon d'Anduze watershed is chosen as the study benchmark. A sophisticated numerical algorithm and the downstream discharge measurements make the identification of the model parameters possible. Results provide better model predictions and relevant spatial variability of some parameters inside this watershed.
This study contributes to flash flood prediction using a hydrological model. The model describes...