Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3925-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-3925-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
01 Sep 2020
Model evaluation paper |
| 01 Sep 2020
| 01 Sep 2020
The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France
Patrick Le Moigne
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
François Besson
Direction de la Climatologie et des Services Climatiques,
Météo-France, Toulouse, France
Eric Martin
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Irstea, Université d'Aix Marseille, RECOVER, Aix-en-Provence,
France
Julien Boé
CECI, Université de Toulouse, CERFACS, CNRS, Toulouse, France
Aaron Boone
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Bertrand Decharme
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Pierre Etchevers
Direction de la Climatologie et des Services Climatiques,
Météo-France, Toulouse, France
Stéphanie Faroux
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Florence Habets
CNRS UMR 8538, Laboratoire de Géologie, École Normale
Supérieure, PSL Research University, 24 rue Lhomond, 75005 Paris, France
Matthieu Lafaysse
CNRM, Université de Grenoble, Météo-France, CNRS,
Grenoble, France
Delphine Leroux
CNRM, Université de Toulouse, Météo-France, CNRS,
Toulouse, France
Fabienne Rousset-Regimbeau
Direction de la Climatologie et des Services Climatiques,
Météo-France, Toulouse, France
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| Country | # | Views | % |
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| Country | # | Views | % |
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| Germany | 3 | 553 | 17 |
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| Country | # | Views | % |
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| Germany | 3 | 105 | 15 |
| China | 4 | 32 | 4 |
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33 citations as recorded by crossref.
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- Assessment of the hydrological impact of an hourly precipitation distribution correction method in the SASER modeling system O. Cenobio-Cruz et al. 10.1016/j.jhydrol.2024.131136
- Quantifying the direct and indirect relationships linking the environment, seagrass, and their associated fauna J. Millot et al. 10.1002/ecs2.4708
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- Response of the sea surface temperature to heatwaves during the France 2022 meteorological summer T. Guinaldo et al. 10.5194/os-19-629-2023
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- Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data J. Gaona et al. 10.5194/nhess-22-3461-2022
- Évolution du manteau neigeux pendant la sécheresse de 2022 en France S. Gascoin et al. 10.1080/27678490.2024.2314174
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- Identification and estimation of hydrological contributions in a mixed land‐use catchment based on a simple biogeochemical and hydro‐meteorological dataset O. Grandjouan et al. 10.1002/hyp.15035
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- Assessment of the interactions between soil–biosphere–atmosphere (ISBA) land surface model soil hydrology, using four closed-form soil water relationships and several lysimeters A. Sobaga et al. 10.5194/hess-27-2437-2023
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1 citations as recorded by crossref.
Latest update: 05 Jun 2025
Short summary
The study describes how a hydrometeorological model, operational at Météo-France, has been improved. Particular emphasis is placed on the impact of climatic data, surface, and soil parametrizations on the model results. Model simulations and evaluations carried out on a variety of measurements of river flows and snow depths are presented. All improvements in climate, surface data, and model physics have a positive impact on system performance.
The study describes how a hydrometeorological model, operational at Météo-France, has been...
Special issue