The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 9
Articles | Volume 20, issue 9
https://doi.org/10.5194/tc-20-4811-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-4811-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 9
Research article
 | 
31 Aug 2026
Research article |  | 31 Aug 2026

Wet snow avalanche preconditions from Sentinel-1 multi-track composites

Gwendolyn Dasser, Valentin T. Bickel, Marius Rüetschi, Mylène Jacquemart, Mathias Bavay, Elisabeth Hafner-Aeschbacher, Alec van Herwijnen, David Small, and Andrea Manconi

Viewed

Total article views: 10,682 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
7,163 2,159 1,360 10,682 340 456
  • HTML: 7,163
  • PDF: 2,159
  • XML: 1,360
  • Total: 10,682
  • BibTeX: 340
  • EndNote: 456
Views and downloads (calculated since 21 Jun 2024)
Cumulative views and downloads (calculated since 21 Jun 2024)

Viewed (geographical distribution)

Total article views: 10,682 (including HTML, PDF, and XML) Thereof 10,601 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Aug 2026
Download
Short summary
Understanding snowpack wetness is key to predicting wet snow avalanche releases, but detailed data is often limited. Using satellite radar, we monitored snowmelt over several seasons. We extracted a wet snow ratio threshold where the change from dry to wet snow avalanche dominated conditions is expected. By using local resolution weighting composites, we improved spatial resolution and showed our product to be more feasible for use in practice than the publicly available SAR Wet Snow layer.
Read more
Share