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.
Model description paper
| 
23 Dec 2021
Model description paper |
| 23 Dec 2021
| 23 Dec 2021
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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23 citations as recorded by crossref.
- Spatio-temporal heterogeneities in hydrologic dynamics across the Asian Water Tower S. Aryal & Y. Pokhrel 10.1016/j.jhydrol.2025.133951
- Compound flood events: analysing the joint occurrence of extreme river discharge events and storm surges in northern and central Europe P. Heinrich et al. 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. 10.5194/hess-26-4773-2022
- The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy A. Dastoor et al. 10.5194/gmd-18-2747-2025
- A differentiability-based processes and parameters learning hydrologic model for advancing runoff prediction and process understanding C. Zhang et al. 10.1016/j.jhydrol.2025.133594
- Alkalinity responses to climate warming destabilise the Earth’s thermostat N. Lehmann et al. 10.1038/s41467-023-37165-w
- Exploring Kolmogorov-Arnold neural networks for hybrid and transparent hydrological modeling X. Jing et al. 10.1016/j.envsoft.2025.106648
- An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia D. Hughes et al. 10.1080/15715124.2023.2278678
- Two-dimensional differential form of distributed Xinanjiang model J. Zhao et al. 10.5194/hess-29-3745-2025
- Complementing ERA5 and E-OBS with high-resolution river discharge over Europe S. Hagemann & T. Stacke 10.1016/j.oceano.2022.07.003
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. 10.5194/gmd-17-6819-2024
- Tailoring the surface energy balance algorithm for land-improved (SEBALI) model using high-resolution land/use land cover for monitoring actual evapotranspiration Y. Mekonnen et al. 10.1016/j.agwat.2024.109058
- Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims A. Puy et al. 10.1016/j.isci.2025.112184
- A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models S. Hagemann et al. 10.5194/os-20-1457-2024
- Changes in compound flood event frequency in northern and central Europe under climate change P. Heinrich et al. 10.3389/fclim.2023.1227613
- Global hydrological models continue to overestimate river discharge S. Heinicke et al. 10.1088/1748-9326/ad52b0
- Software sustainability of global impact models E. Nyenah et al. 10.5194/gmd-17-8593-2024
- Graphical representation of global water models H. Müller Schmied et al. 10.5194/gmd-18-2409-2025
- The process and value of reprogramming a legacy global hydrological model E. Nyenah et al. 10.5194/gmd-18-5635-2025
- Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models A. Tiwari et al. 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. 10.1016/j.rsma.2024.103476
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
Latest update: 16 Sep 2025
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...
