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

Viewed

Total article views: 1,546 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,060 433 53 1,546 98 36 47
  • HTML: 1,060
  • PDF: 433
  • XML: 53
  • Total: 1,546
  • Supplement: 98
  • BibTeX: 36
  • EndNote: 47
Views and downloads (calculated since 03 Jul 2023)
Cumulative views and downloads (calculated since 03 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,546 (including HTML, PDF, and XML) Thereof 1,497 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.