Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2869-2021
https://doi.org/10.5194/hess-25-2869-2021
Research article
 | 
27 May 2021
Research article |  | 27 May 2021

The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments

Michael Weber, Franziska Koch, Matthias Bernhardt, and Karsten Schulz

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Latest update: 22 Jul 2024
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Short summary
We compared a suite of globally available meteorological and DEM data with in situ data for physically based snow hydrological modelling in a small high-alpine catchment. Although global meteorological data were less suited to describe the snowpack properly, transferred station data from a similar location in the vicinity and substituting single variables with global products performed well. In addition, using 30 m global DEM products as model input was useful in such complex terrain.