Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-957-2021
© 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-25-957-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2021
Research article |
| 24 Feb 2021
| 24 Feb 2021
Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement
Petra Hulsman
CORRESPONDING AUTHOR
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Hubert H. G. Savenije
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Markus Hrachowitz
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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- Enhancing streamflow simulation accuracy in ungauged catchments via parameter calibration with triple collocation-based merged evapotranspiration and streamflow features Z. Xu et al. 10.1016/j.jhydrol.2024.131627
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- WaCoDiS: Automated Earth Observation data processing within an event-driven architecture for water monitoring S. Drost et al. 10.1016/j.cageo.2021.105003
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Latest update: 23 Nov 2024
Short summary
Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.
Satellite observations have increasingly been used for model calibration, while model structural...
