Articles | Volume 30, issue 17
https://doi.org/10.5194/hess-30-5571-2026
© 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-30-5571-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
08 Sep 2026
Technical note |
| 08 Sep 2026
| 08 Sep 2026
Technical note: HydroModPy (v1.0) – a Python toolbox for deploying catchment-scale shallow groundwater models
Alexandre Gauvain
CORRESPONDING AUTHOR
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Laboratoire de Météorologie Dynamique (LMD), CNRS, Sorbonne Université, Paris, France
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
UMR SAS 1069, INRAE, Institut Agro Rennes‐Angers, Rennes, France
Bastien Boivin
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Alexandre Coche
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Martin Le Mesnil
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Tristan Babey
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Enzo Maugan
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Théa Touzeau
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Imene Issolah
Inria, IRISA, CNRS, Université de Rennes, Rennes, France
Clément Roques
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
Camille Bouchez
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Jean Marçais
UR RiverLy, INRAE, Villeurbanne, France
Sarah Leray
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Cat´lica de Chile, Santiago, Chile
Etienne Marti
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Cat´lica de Chile, Santiago, Chile
Etienne Bresciani
Instituto de Ciencias de la Ingeniería, Universidad de O'Higgins, Rancagua, Chile
Ronny Figueroa
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
Mathias Pélissier
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
Simon Carlier
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
Luca Guillaumot
Water, Environment, Processes and Analyses Division, BRGM – French Geological Survey, Orléans, France
Rock S. Bagagnan
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Camille Vautier
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Laurent Longuevergne
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
June Sallou
INF, Wageningen University & Research, Wageningen, Netherlands
Johan Bourcier
ISA/LIUPPA, Université de Pau et des Pays de l'Adour, Pau, France
Benoit Combemale
Inria, IRISA, CNRS, Université de Rennes, Rennes, France
Philip Brunner
Centre for Hydrogeology and Geothermics (CHYN), Université de Neuchâtel, Neuchâtel, Switzerland
Luc Aquilina
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
Jean-Raynald de Dreuzy
Geosciences Rennes – UMR 6118, CNRS, Université de Rennes, Rennes, France
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Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
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Short summary
HydroModPy was developed to make it easier and faster to deploy groundwater models across multiple catchments. Although such models are widely used, setting them up often requires significant time and expertise. HydroModPy automates key steps, from preparing maps and input data to building models and running simulations. It is specifically designed for shallow aquifers and supports transparent, reproducible studies of groundwater. This tool can improve water management, research, and education.
HydroModPy was developed to make it easier and faster to deploy groundwater models across...
