Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2245-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2245-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jun 2023
Research article |
| 05 Jun 2023
| 05 Jun 2023
Combining modelled snowpack stability with machine learning to predict avalanche activity
Léo Viallon-Galinier
CORRESPONDING AUTHOR
Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM,Centre d’Études de la Neige, Grenoble, France
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, France
École des Ponts, Champs-sur-Marne, France
Pascal Hagenmuller
Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM,Centre d’Études de la Neige, Grenoble, France
Nicolas Eckert
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, France
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Cited
15 citations as recorded by crossref.
- Thermo-hydro-mechanics of thawing permafrost: a phase-field framework with enriched modified Cam-Clay plasticity M. Kebria et al. 10.1007/s11440-025-02684-x
- Probability models to convert snowpack stability into the number of dry-snow avalanches in North Japan Y. Katsuyama et al. 10.1016/j.coldregions.2025.104480
- Twenty first century snow cover prediction using deep learning and climate model data in the Teesta basin, eastern Himalaya A. Patel et al. 10.1007/s00382-025-07643-6
- Assessing the performance and explainability of an avalanche danger forecast model C. Pérez-Guillén et al. 10.5194/nhess-25-1331-2025
- A quantitative module of avalanche hazard – comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations F. Herla et al. 10.5194/nhess-25-625-2025
- Climate change impacts on snow avalanche activity and related risks N. Eckert et al. 10.1038/s43017-024-00540-2
- Predicting avalanche danger in northern Norway using statistical models K. Eiselt & R. Graversen 10.5194/tc-19-1849-2025
- Spatial heterogeneity and temporal tendency of channeled snow avalanche activity retrieved from Landsat images in the maritime snow climate of the Parlung Tsangpo catchment, southeastern Tibet H. Wen et al. 10.1016/j.coldregions.2024.104206
- Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations S. Mayer et al. 10.5194/nhess-23-3445-2023
- Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps E. Kayhan & Ö. Ekmekcioğlu 10.3390/w16223247
- Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data W. Li et al. 10.5194/tc-19-37-2025
- Addressing class imbalance in avalanche forecasting M. Kala et al. 10.1016/j.coldregions.2024.104411
- Impact of climate change on snow avalanche activity in the Swiss Alps S. Mayer et al. 10.5194/tc-18-5495-2024
- Influence of snow and meteorological conditions on snow‐avalanche deposit volumes and consequences for road‐network vulnerability H. Kern et al. 10.1002/ldr.4697
- Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation C. Duvillier et al. 10.5194/nhess-23-1383-2023
13 citations as recorded by crossref.
- Thermo-hydro-mechanics of thawing permafrost: a phase-field framework with enriched modified Cam-Clay plasticity M. Kebria et al. 10.1007/s11440-025-02684-x
- Probability models to convert snowpack stability into the number of dry-snow avalanches in North Japan Y. Katsuyama et al. 10.1016/j.coldregions.2025.104480
- Twenty first century snow cover prediction using deep learning and climate model data in the Teesta basin, eastern Himalaya A. Patel et al. 10.1007/s00382-025-07643-6
- Assessing the performance and explainability of an avalanche danger forecast model C. Pérez-Guillén et al. 10.5194/nhess-25-1331-2025
- A quantitative module of avalanche hazard – comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations F. Herla et al. 10.5194/nhess-25-625-2025
- Climate change impacts on snow avalanche activity and related risks N. Eckert et al. 10.1038/s43017-024-00540-2
- Predicting avalanche danger in northern Norway using statistical models K. Eiselt & R. Graversen 10.5194/tc-19-1849-2025
- Spatial heterogeneity and temporal tendency of channeled snow avalanche activity retrieved from Landsat images in the maritime snow climate of the Parlung Tsangpo catchment, southeastern Tibet H. Wen et al. 10.1016/j.coldregions.2024.104206
- Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations S. Mayer et al. 10.5194/nhess-23-3445-2023
- Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps E. Kayhan & Ö. Ekmekcioğlu 10.3390/w16223247
- Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data W. Li et al. 10.5194/tc-19-37-2025
- Addressing class imbalance in avalanche forecasting M. Kala et al. 10.1016/j.coldregions.2024.104411
- Impact of climate change on snow avalanche activity in the Swiss Alps S. Mayer et al. 10.5194/tc-18-5495-2024
2 citations as recorded by crossref.
- Influence of snow and meteorological conditions on snow‐avalanche deposit volumes and consequences for road‐network vulnerability H. Kern et al. 10.1002/ldr.4697
- Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation C. Duvillier et al. 10.5194/nhess-23-1383-2023
Latest update: 26 Jun 2025
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.
Avalanches are a significant issue in mountain areas where they threaten recreationists and...
