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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18 citations as recorded by crossref.
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
- Technical note: Comparing three different methods for allocating river points to coarse-resolution hydrological modelling grid cells J. Godet et al. 10.5194/hess-28-1403-2024
- Water balance model (WBM) v.1.0.0: a scalable gridded global hydrologic model with water-tracking functionality D. Grogan et al. 10.5194/gmd-15-7287-2022
- Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters L. Bouaziz et al. 10.5194/hess-26-1295-2022
- Topological Relationship‐Based Flow Direction Modeling: Mesh‐Independent River Networks Representation C. Liao et al. 10.1029/2022MS003089
- A data set of global river networks and corresponding water resources zones divisions v2 D. Yan et al. 10.1038/s41597-022-01888-0
- Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area L. Lu et al. 10.3390/rs15041014
- GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model J. de Bruijn et al. 10.5194/gmd-16-2437-2023
- Delineation of endorheic drainage basins in the MERIT-Plus dataset for 5 and 15 minute upscaled river networks A. Prusevich et al. 10.1038/s41597-023-02875-9
- Estimating Regionalized Hydrological Impacts of Climate Change Over Europe by Performance-Based Weighting of CORDEX Projections F. Sperna Weiland et al. 10.3389/frwa.2021.713537
- River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies S. Munier & B. Decharme 10.5194/essd-14-2239-2022
- LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources S. Ostberg et al. 10.5194/gmd-16-3375-2023
- Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water J. Polcher et al. 10.5194/gmd-16-2583-2023
- Nature-based solutions for floods AND droughts AND biodiversity: Do we have sufficient proof of their functioning? E. Penning et al. 10.1017/wat.2023.12
- Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al. 10.1007/s11069-023-06017-7
- The use of GRDC gauging stations for calibrating large-scale hydrological models P. Burek & M. Smilovic 10.5194/essd-15-5617-2023
- Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations T. Lotz et al. 10.1007/s10661-022-10901-3
- Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia D. Ratri et al. 10.1016/j.ejrh.2022.101305
Latest update: 19 Apr 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...
