Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 11
Articles | Volume 23, issue 11
https://doi.org/10.5194/nhess-23-3445-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3445-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 11
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: 1,573 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,136 361 76 1,573 66 61
  • HTML: 1,136
  • PDF: 361
  • XML: 76
  • Total: 1,573
  • BibTeX: 66
  • EndNote: 61
Views and downloads (calculated since 12 Apr 2023)
Cumulative views and downloads (calculated since 12 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,573 (including HTML, PDF, and XML) Thereof 1,511 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Dec 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.
Read more
Altmetrics
Final-revised paper
Preprint