Articles | Volume 23, issue 11
https://doi.org/10.5194/nhess-23-3445-2023
https://doi.org/10.5194/nhess-23-3445-2023
Research article
 | 
09 Nov 2023
Research article |  | 09 Nov 2023

Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations

Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen

Viewed

Total article views: 1,540 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,107 357 76 1,540 65 60
  • HTML: 1,107
  • PDF: 357
  • XML: 76
  • Total: 1,540
  • BibTeX: 65
  • EndNote: 60
Views and downloads (calculated since 12 Apr 2023)
Cumulative views and downloads (calculated since 12 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,540 (including HTML, PDF, and XML) Thereof 1,481 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Altmetrics
Final-revised paper
Preprint