Articles | Volume 30, issue 7
https://doi.org/10.5194/hess-30-1915-2026
© Author(s) 2026. 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-30-1915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploring future water resources and uses considering water demand scenarios and climate change for the French Sèvre Nantaise basin
Léonard Santos
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Anthony Thomas
Etablissement Public Territorial du Bassin de la Sèvre Nantaise, Clisson, France
Gaëlle Tallec
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Laurent Mounereau
Etablissement Public Territorial du Bassin de la Sèvre Nantaise, Clisson, France
Aaron Bluche
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Bruno J. Lemaire
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
AgroParisTech, 91120, Palaiseau, France
Rania Louafi
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Guillaume Thirel
CORRESPONDING AUTHOR
Université Paris-Saclay, INRAE, HYCAR Research Unit, Antony, France
Univ Toulouse, CNES, CNRS, INRAE, IRD, CESBIO, Toulouse, France
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Paul Royer-Gaspard, Vazken Andréassian, and Guillaume Thirel
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Most evaluation studies based on the differential split-sample test (DSST) endorse the consensus that rainfall–runoff models lack climatic robustness. In this technical note, we propose a new performance metric to evaluate model robustness without applying the DSST and which can be used with a single hydrological model calibration. Our work makes it possible to evaluate the temporal transferability of any hydrological model, including uncalibrated models, at a very low computational cost.
Alexis Jeantet, Hocine Henine, Cédric Chaumont, Lila Collet, Guillaume Thirel, and Julien Tournebize
Hydrol. Earth Syst. Sci., 25, 5447–5471, https://doi.org/10.5194/hess-25-5447-2021, https://doi.org/10.5194/hess-25-5447-2021, 2021
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The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale, using a unique database representing the large majority of the French drained areas. The model is evaluated following its capacity to simulate the drainage discharge variability and the annual drained water balance. Eventually, the temporal robustness of SIDRA-RU is assessed to demonstrate the utility of this model as a long-term management tool.
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci., 25, 5013–5027, https://doi.org/10.5194/hess-25-5013-2021, https://doi.org/10.5194/hess-25-5013-2021, 2021
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In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models), and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021, https://doi.org/10.5194/hess-25-3937-2021, 2021
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The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
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Short summary
Water resources will be heavily impacted by climate change in the future, with low flows and water demand satisfaction expected to decline. This study uses an integrated water resources management model to examine future water demand scenarios, revealing that climate change will be the primary driver of changes. While adapting water uses could mitigate negative impacts, this will not be enough to adapt to climate change. The irrigation sector is expected to be the most impacted.
Water resources will be heavily impacted by climate change in the future, with low flows and...