Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5371-2022
© Author(s) 2022. 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-15-5371-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| Highlight paper
| 
14 Jul 2022
Development and technical paper | Highlight paper |
| 14 Jul 2022
| 14 Jul 2022
The eWaterCycle platform for open and FAIR hydrological collaboration
Faculty of Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands
Niels Drost
Netherlands eScience Center, Amsterdam, the Netherlands
Nick van de Giesen
Faculty of Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands
Ben van Werkhoven
Netherlands eScience Center, Amsterdam, the Netherlands
Banafsheh Abdollahi
Faculty of Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands
Jerom Aerts
Faculty of Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands
Thomas Albers
Faculty of Civil Engineering and Geoscience, Delft University of Technology, Delft, the Netherlands
Fakhereh Alidoost
Netherlands eScience Center, Amsterdam, the Netherlands
Bouwe Andela
Netherlands eScience Center, Amsterdam, the Netherlands
Jaro Camphuijsen
Netherlands eScience Center, Amsterdam, the Netherlands
Yifat Dzigan
Netherlands eScience Center, Amsterdam, the Netherlands
Ronald van Haren
Netherlands eScience Center, Amsterdam, the Netherlands
currently at: Rijkswaterstaat, Utrecht, the Netherlands
Eric Hutton
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, USA
Peter Kalverla
Netherlands eScience Center, Amsterdam, the Netherlands
Maarten van Meersbergen
Netherlands eScience Center, Amsterdam, the Netherlands
Gijs van den Oord
Netherlands eScience Center, Amsterdam, the Netherlands
Inti Pelupessy
Netherlands eScience Center, Amsterdam, the Netherlands
Stef Smeets
Netherlands eScience Center, Amsterdam, the Netherlands
Stefan Verhoeven
Netherlands eScience Center, Amsterdam, the Netherlands
Martine de Vos
Netherlands eScience Center, Amsterdam, the Netherlands
currently at: Information and Technology Services, Utrecht University, Utrecht, the Netherlands
Berend Weel
Netherlands eScience Center, Amsterdam, the Netherlands
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Total article views: 3,570 (including HTML, PDF, and XML)
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Total article views: 2,163 (including HTML, PDF, and XML)
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Cited
13 citations as recorded by crossref.
- The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. 10.1016/j.envsoft.2023.105808
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. 10.5194/gmd-17-1175-2024
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
- 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
- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics M. Abdelkader et al. 10.3390/rs16081368
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al. 10.5194/gmd-17-5249-2024
- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff P. Wiersma et al. 10.5194/hess-26-5971-2022
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model B. Abdollahi et al. 10.3390/w14121950
11 citations as recorded by crossref.
- The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. 10.1016/j.envsoft.2023.105808
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. 10.5194/gmd-17-1175-2024
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
- 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
- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics M. Abdelkader et al. 10.3390/rs16081368
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al. 10.5194/gmd-17-5249-2024
- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff P. Wiersma et al. 10.5194/hess-26-5971-2022
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
Latest update: 10 Jul 2025
Executive editor
This work removes the massive specialist-knowledge barrier to running hydrological models, making them usable by a much broader swath of scientific community -- and potentially beyond.
This work removes the massive specialist-knowledge barrier to running hydrological models,...
Short summary
With the eWaterCycle platform, we are providing the hydrological community with a platform to conduct their research that is fully compatible with the principles of both open science and FAIR science. The eWatercyle platform gives easy access to well-known hydrological models, big datasets and example experiments. Using eWaterCycle hydrologists can easily compare the results from different models, couple models and do more complex hydrological computational research.
With the eWaterCycle platform, we are providing the hydrological community with a platform to...
