Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4895-2017
© Author(s) 2017. 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-21-4895-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Sep 2017
Research article |
| 28 Sep 2017
Information content of stream level class data for hydrological model calibration
H. J. Ilja van Meerveld
CORRESPONDING AUTHOR
Department of Geography, University of Zurich, Zurich, Switzerland
Marc J. P. Vis
Department of Geography, University of Zurich, Zurich, Switzerland
Jan Seibert
Department of Geography, University of Zurich, Zurich, Switzerland
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
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Latest update: 24 Apr 2025
Short summary
We tested the usefulness of stream level class data for hydrological model calibration. Only two stream level classes, e.g. above or below a rock in the stream, were already informative, particularly when the boundary was chosen at a high stream level. There was hardly any improvement in model performance when using more than five stream level classes. These results suggest that model based streamflow time series can be obtained from citizen science based water level class data.
We tested the usefulness of stream level class data for hydrological model calibration. Only two...
