Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5287-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5287-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Sep 2021
Research article |
| 28 Sep 2021
| 28 Sep 2021
A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Willem van Verseveld
Deltares, Delft, the Netherlands
Dai Yamazaki
Institute of Industrial Sciences, the University of Tokyo, Tokyo,
Japan
Albrecht Weerts
Deltares, Delft, the Netherlands
Hydrology and Quantitative Water Management Group, Wageningen
University & Research, Wageningen, the Netherlands
Hessel C. Winsemius
Deltares, Delft, the Netherlands
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
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Latest update: 22 Nov 2024
Short summary
Digital elevation models and derived flow directions are crucial to distributed hydrological modeling. As the spatial resolution of models is typically coarser than these data, we need methods to upscale flow direction data while preserving the river structure. We propose the Iterative Hydrography Upscaling (IHU) method and show it outperforms other often-applied methods. We publish the multi-resolution MERIT Hydro IHU hydrography dataset and the algorithm as part of the pyflwdir Python package.
Digital elevation models and derived flow directions are crucial to distributed hydrological...
