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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Technical note: Diagnostic efficiency – specific evaluation of model performance
Robin Schwemmle, Dominic Demand, and Markus Weiler
Hydrol. Earth Syst. Sci., 25, 2187–2198, https://doi.org/10.5194/hess-25-2187-2021,https://doi.org/10.5194/hess-25-2187-2021, 2021
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Cited articles

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Asadollahi, M., Stumpp, C., Rinaldo, A., and Benettin, P.: Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models, Water Resour. Res., 56, e2019WR025539, https://doi.org/10.1029/2019wr025539, 2020. 
Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J., and Fienen, M. N.: Scripting MODFLOW Model Development Using Python and FloPy, Groundwater, 54, 733–739, https://doi.org/10.1111/gwat.12413, 2016. 
Bartos, M.: pysheds: simple and fast watershed delineation in python, Zenodo, https://doi.org/10.5281/zenodo.3822494, 2020. 
Benettin, P., Soulsby, C., Birkel, C., Tetzlaff, D., Botter, G., and Rinaldo, A.: Using SAS functions and high-resolution isotope data to unravel travel time distributions in headwater catchments, Water Resour. Res., 53, 1864–1878, https://doi.org/10.1002/2016WR020117, 2017. 
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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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