Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
HydroPy (v1.0): a new global hydrology model written in Python
Tobias Stacke
CORRESPONDING AUTHOR
Helmholtz-Zentrum Hereon, Institute of Coastal Systems – Analysis and Modelling, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
now at: Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany
Stefan Hagemann
Helmholtz-Zentrum Hereon, Institute of Coastal Systems – Analysis and Modelling, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
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- Catchment precipitation partitioning in the Budyko framework is controlled by root zone storage capacity M. Ibrahim et al. https://doi.org/10.1088/1748-9326/ae612a
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- Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring F. Wolkeba et al. https://doi.org/10.1016/j.jhydrol.2026.135280
- Complementing ERA5 and E-OBS with high-resolution river discharge over Europe S. Hagemann & T. Stacke https://doi.org/10.1016/j.oceano.2022.07.003
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. https://doi.org/10.5194/gmd-17-6819-2024
- Technical note: HydroModPy (v1.0) – a Python toolbox for deploying catchment-scale shallow groundwater models A. Gauvain et al. https://doi.org/10.5194/hess-30-5571-2026
- Towards improved Euro-Mediterranean discharge simulations in regional coupled climate models: a comparative assessment of hydrologic performance M. Hamitouche et al. https://doi.org/10.5194/gmd-19-2881-2026
- Global hydrological models continue to overestimate river discharge S. Heinicke et al. https://doi.org/10.1088/1748-9326/ad52b0
- Software sustainability of global impact models E. Nyenah et al. https://doi.org/10.5194/gmd-17-8593-2024
- Graphical representation of global water models H. Müller Schmied et al. https://doi.org/10.5194/gmd-18-2409-2025
- Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al. https://doi.org/10.5194/hess-29-7041-2025
- Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models A. Tiwari et al. https://doi.org/10.1038/s44221-025-00435-6
- Impacts of extreme river discharge on coastal dynamics and environment: Insights from high-resolution modeling in the German Bight T. Nguyen et al. https://doi.org/10.1016/j.rsma.2024.103476
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- Compound flood events: analysing the joint occurrence of extreme river discharge events and storm surges in northern and central Europe P. Heinrich et al. https://doi.org/10.5194/nhess-23-1967-2023
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. https://doi.org/10.5194/hess-26-4773-2022
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- The process and value of reprogramming a legacy global hydrological model E. Nyenah et al. https://doi.org/10.5194/gmd-18-5635-2025
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- Advancing understanding of parameterization effects in global hydrologic models through multi-model, multi-variable evaluation J. Kim et al. https://doi.org/10.1016/j.jhydrol.2026.135208
- Process diagnostics of snowmelt runoff in global hydrological and land surface models – Part 1: A systematic evaluation across basins of increasing complexity X. Lei et al. https://doi.org/10.5194/hess-30-5343-2026
Saved (final revised paper)
Latest update: 18 Sep 2026
Short summary
HydroPy is a new version of an established global hydrology model. It was rewritten from scratch and adapted to a modern object-oriented infrastructure to facilitate its future development and application. With this study, we provide a thorough documentation and evaluation of our new model. At the same time, we open our code base and publish the model's source code in a public software repository. In this way, we aim to contribute to increasing transparency and reproducibility in science.
HydroPy is a new version of an established global hydrology model. It was rewritten from scratch...