Articles | Volume 26, issue 11
https://doi.org/10.5194/nhess-26-5633-2026
https://doi.org/10.5194/nhess-26-5633-2026
Research article
 | 
05 Nov 2026
Research article |  | 05 Nov 2026

Comparing and validating modelled snow stability metrics

Jürg Schweizer, Benjamin Reuter, Christoph Mitterer, Fabiano Monti, and Stephanie Mayer

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Snow stability data: field measurements and numerical model evaluation Jürg Schweizer et al. https://doi.org/10.16904/envidat.818

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Short summary
Avalanche forecasting increasingly relies on numerical predictions of snow stability. We present the first detailed comparison of traditional and AI-based stability metrics and validate them against avalanche observations. The metrics show a similar level of performance. Combining both process-based and data-driven metrics provides the most reliable forecasts.
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