Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 14
Articles | Volume 16, issue 14
https://doi.org/10.5194/gmd-16-4063-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4063-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 14
Model description paper
 | 
19 Jul 2023
Model description paper |  | 19 Jul 2023

An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0

Johannes Aschauer, Adrien Michel, Tobias Jonas, and Christoph Marty

Viewed

Total article views: 2,146 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,572 518 56 2,146 47 53
  • HTML: 1,572
  • PDF: 518
  • XML: 56
  • Total: 2,146
  • BibTeX: 47
  • EndNote: 53
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads (calculated since 16 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,146 (including HTML, PDF, and XML) Thereof 2,075 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
Snow water equivalent is the mass of water stored in a snowpack. Based on exponential settling functions, the empirical snow density model SWE2HS is presented to convert time series of daily snow water equivalent into snow depth. The model has been calibrated with data from Switzerland and validated with independent data from the European Alps. A reference implementation of SWE2HS is available as a Python package.
Read more