Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1867-2026
https://doi.org/10.5194/tc-20-1867-2026
Research article
 | 
01 Apr 2026
Research article |  | 01 Apr 2026

Past and future changes in avalanche problems in northern Norway estimated with machine-learning models

Kai-Uwe Eiselt and Rune Grand Graversen

Viewed

Total article views: 771 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
484 251 36 771 78 31 29
  • HTML: 484
  • PDF: 251
  • XML: 36
  • Total: 771
  • Supplement: 78
  • BibTeX: 31
  • EndNote: 29
Views and downloads (calculated since 06 Oct 2025)
Cumulative views and downloads (calculated since 06 Oct 2025)

Viewed (geographical distribution)

Total article views: 771 (including HTML, PDF, and XML) Thereof 771 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
Short summary
We train machine-learning models to predict avalanche problems from meteorological and snow-cover data in northern Norway. A major part of the work is the estimation of avalanche-problem changes throughout the 21st century based on future climate projections. We find that while the avalanche danger generally declines towards 2100, the avalanche characteristics will likely change, meaning fewer dry but more wet avalanches, having potential implications for the avalanche-danger forecast quality.
Share