Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2245-2023
https://doi.org/10.5194/tc-17-2245-2023
Research article
 | 
05 Jun 2023
Research article |  | 05 Jun 2023

Combining modelled snowpack stability with machine learning to predict avalanche activity

Léo Viallon-Galinier, Pascal Hagenmuller, and Nicolas Eckert

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Latest update: 01 May 2024
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Short summary
Avalanches are a significant issue in mountain areas where they threaten recreationists and human infrastructure. Assessments of avalanche hazards and the related risks are therefore an important challenge for local authorities. Meteorological and snow cover simulations are thus important to support operational forecasting. In this study we combine it with mechanical analysis of snow profiles and find that observed avalanche data improve avalanche activity prediction through statistical methods.