Articles | Volume 20, issue 9
https://doi.org/10.5194/tc-20-4811-2026
https://doi.org/10.5194/tc-20-4811-2026
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

Data sets

Snowpack operational reruns 2023 (2023-08) M. Bavay https://doi.org/10.5281/zenodo.19388833

Snowpack-3.6.5 M. Bavay https://doi.org/10.5281/zenodo.19258679

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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.
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