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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (13 Nov 2020) by Jan Seibert
AR by Franziska Koch on behalf of the Authors (15 Jan 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Jan 2021) by Jan Seibert
RR by Anonymous Referee #1 (05 Feb 2021)
RR by Anonymous Referee #2 (21 Feb 2021)
RR by Anonymous Referee #3 (05 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (30 Mar 2021) by Jan Seibert
AR by Franziska Koch on behalf of the Authors (22 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Apr 2021) by Jan Seibert
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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.