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

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

doi:https://doi.org/10.5194/gmd-17-5249-2024

Articles | Volume 17, issue 13

https://doi.org/10.5194/gmd-17-5249-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-5249-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 13

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

Supplement

https://doi.org/10.5194/gmd-17-5249-2024-supplement

Data sets

Application example of the GMD publication ``RoGeR v3.0.5 – a process-based hydrological toolbox model in Python'' R. Schwemmle https://doi.org/10.5281/zenodo.11562349

Model code and software

Calculating energy usage of RoGeR using Green Algorithms Robin Schwemmle https://doi.org/10.5281/zenodo.8095094

RoGeR (v3.0.4) R. Schwemmle et al. https://doi.org/10.5281/zenodo.10479343

WeatherDB M. Schmit https://apps.hydro.uni-freiburg.de/de/weatherdb

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.