Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5371-2022
https://doi.org/10.5194/gmd-15-5371-2022
Development and technical paper
 | Highlight paper
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14 Jul 2022
Development and technical paper | Highlight paper |  | 14 Jul 2022

The eWaterCycle platform for open and FAIR hydrological collaboration

Rolf Hut, Niels Drost, Nick van de Giesen, Ben van Werkhoven, Banafsheh Abdollahi, Jerom Aerts, Thomas Albers, Fakhereh Alidoost, Bouwe Andela, Jaro Camphuijsen, Yifat Dzigan, Ronald van Haren, Eric Hutton, Peter Kalverla, Maarten van Meersbergen, Gijs van den Oord, Inti Pelupessy, Stef Smeets, Stefan Verhoeven, Martine de Vos, and Berend Weel

Data sets

eWaterCycle Python package Stefan Verhoeven, Niels Drost, Berend Weel, Stef Smeets, Peter Kalverla, Fakhereh Alidoost, Barbara Vreede, Rolf, Hut, Jerom Aerts, and Ben van Werkhoven https://doi.org/10.5281/zenodo.5119390

Model code and software

eWaterCycle Python package Stefan Verhoeven, Niels Drost, Berend Weel, Peter Kalverla, Fakhereh Alidoost, and Bouwe Andela https://doi.org/10.5281/zenodo.5356689

eWaterCycle tech paper example notebooks Rolf Hut, Niels Drost, Fakhereh Alidoost, Stefan Verhoeven, Stef Smeets, Peter Kalverla, Barbara Vreede, Jerom Aerts, Ben van Werkhoven, and Nick van de Giesen https://doi.org/10.5281/zenodo.5543899

Video supplement

The eWaterCycle platform for Open and FAIR Hydrological collaboration Video Abstract Rolf Hut https://doi.org/10.5281/zenodo.5556433

Video abstract

The eWaterCycle platform for Open and FAIR Hydrological collaboration Rolf Hut https://www.youtube.com/watch?v=eE75dtIJ1lk

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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.
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.