Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model

Aerts, Jerom P. M.; Hut, Rolf W.; van de Giesen, Nick C.; Drost, Niels; van Verseveld, Willem J.; Weerts, Albrecht H.; Hazenberg, Pieter

doi:https://doi.org/10.5194/hess-26-4407-2022

Articles | Volume 26, issue 16

https://doi.org/10.5194/hess-26-4407-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-4407-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 16

Research article

|

29 Aug 2022

Research article |

| 29 Aug 2022

Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model

Jerom P. M. Aerts, Rolf W. Hut, Nick C. van de Giesen, Niels Drost, Willem J. van Verseveld, Albrecht H. Weerts, and Pieter Hazenberg

Data sets

Wflow SBM streamflow estimates for CAMELS data set Jerom P.M. Aerts https://doi.org/10.5281/zenodo.5724576

Model code and software

eWaterCycle example notebooks Jerom P.M. Aerts https://doi.org/10.5281/zenodo.5724512

Short summary

In recent years gridded hydrological modelling moved into the realm of hyper-resolution modelling (<10 km). In this study, we investigate the effect of varying grid-cell sizes for the wflow_sbm hydrological model. We used a large sample of basins from the CAMELS data set to test the effect that varying grid-cell sizes has on the simulation of streamflow at the basin outlet. Results show that there is no single best grid-cell size for modelling streamflow throughout the domain.