Articles | Volume 19, issue 5
https://doi.org/10.5194/tc-19-1849-2025
https://doi.org/10.5194/tc-19-1849-2025
Research article
 | 
14 May 2025
Research article |  | 14 May 2025

Predicting avalanche danger in northern Norway using statistical models

Kai-Uwe Eiselt and Rune Grand Graversen

Viewed

Total article views: 5,708 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,361 854 493 5,708 290 158 264
  • HTML: 4,361
  • PDF: 854
  • XML: 493
  • Total: 5,708
  • Supplement: 290
  • BibTeX: 158
  • EndNote: 264
Views and downloads (calculated since 23 Sep 2024)
Cumulative views and downloads (calculated since 23 Sep 2024)

Viewed (geographical distribution)

Total article views: 5,708 (including HTML, PDF, and XML) Thereof 5,423 with geography defined and 285 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 25 Jun 2026
Download
Short summary
In this study we optimise and train a random forest model to predict avalanche danger in northern Norway based on meteorological reanalysis data. The model performance is at the low end compared to recent similar studies. A hindcast of the frequency of avalanche days (based on the avalanche-danger level) is performed from 1970 to 2024, and a correlation is found with the Arctic Oscillation. This has potential implications for longer-term avalanche predictability.
Share