Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 7
Articles | Volume 26, issue 7
https://doi.org/10.5194/hess-26-1779-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1779-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 7
Research article
 | 
07 Apr 2022
Research article |  | 07 Apr 2022

The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites

Rui Tong, Juraj Parajka, Borbála Széles, Isabella Greimeister-Pfeil, Mariette Vreugdenhil, Jürgen Komma, Peter Valent, and Günter Blöschl

Supplement

https://doi.org/10.5194/hess-26-1779-2022-supplement

Data sets

Soil Water Index CGLS https://land.copernicus.eu/global/products/swi/

MODIS/Aqua Snow Cover Daily L3 Global 500 m Grid, Version 6, [September 2002 to August 2014] D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MYD10A1.006

MODIS/Terra Snow Cover Daily L3 Global 500 m Grid, Version 6, [September 2002 to August 2014] D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MOD10A1.006

Model code and software

TUWmodel: Lumped/Semi-Distributed Hydrological Model for Education Purposes, R package version 1.1-1 A. Viglione and J. Parajka https://CRAN.R-project.org/package=TUWmodel

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Short summary
The role and impact of using additional data (other than runoff) for the prediction of daily hydrographs in ungauged basins are not well understood. In this study, we assessed the model performance in terms of runoff, soil moisture, and snow cover predictions with the existing regionalization approaches. Results show that the best transfer methods are the similarity and the kriging approaches. The performance of the transfer methods differs between lowland and alpine catchments.
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