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

Viewed

Total article views: 3,522 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,633 814 75 3,522 80 104
  • HTML: 2,633
  • PDF: 814
  • XML: 75
  • Total: 3,522
  • BibTeX: 80
  • EndNote: 104
Views and downloads (calculated since 13 Aug 2020)
Cumulative views and downloads (calculated since 13 Aug 2020)

Viewed (geographical distribution)

Total article views: 3,522 (including HTML, PDF, and XML) Thereof 3,281 with geography defined and 241 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 01 Nov 2025
Download
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.
Share