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

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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.
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