Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1151-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-1151-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Mar 2016
Research article |
| 17 Mar 2016
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the
Netherlands
Luis Samaniego
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
Juliane Mai
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
Rohini Kumar
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
Stephan Thober
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
Matthias Zink
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
David Schäfer
UFZ – Helmholtz Centre for Environmental Research, Permoserstraße
15, 04318 Leipzig, Germany
Hubert H. G. Savenije
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the
Netherlands
Markus Hrachowitz
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the
Netherlands
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- Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
- Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index L. Bouaziz et al. 10.1029/2019WR026365
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
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Short summary
The heterogeneity of landscapes in river basins strongly affects the hydrological response. In this study, the distributed mesoscale Hydrologic Model (mHM) was equipped with additional processes identified by landscapes within one modelling cell. Seven study catchments across Europe were selected to test the value of this additional sub-grid heterogeneity. In addition, the models were constrained based on expert knowledge. Generally, the modifications improved the representation of low flows.
The heterogeneity of landscapes in river basins strongly affects the hydrological response. In...
