Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5249-2024
https://doi.org/10.5194/gmd-17-5249-2024
Model description paper
 | 
09 Jul 2024
Model description paper |  | 09 Jul 2024

RoGeR v3.0.5 – a process-based hydrological toolbox model in Python

Robin Schwemmle, Hannes Leistert, Andreas Steinbrich, and Markus Weiler

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Latest update: 31 Mar 2025
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Short summary
The new process-based hydrological toolbox model, RoGeR (https://roger.readthedocs.io/), can be used to estimate the components of the hydrological cycle and the related travel times of pollutants through parts of the hydrological cycle. These estimations may contribute to effective water resources management. This paper presents the toolbox concept and provides a simple example of providing estimations to water resources management.
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