Articles | Volume 20, issue 10
https://doi.org/10.5194/tc-20-6087-2026
https://doi.org/10.5194/tc-20-6087-2026
Research article
 | 
26 Oct 2026
Research article |  | 26 Oct 2026

Probability indication maps for avalanche runout for decision support in daily traffic rout risk management

Julia Glaus, Jan Kleinn, Lukas Stoffel, Pia Ruttner, Katreen Wikstrom Jones, Johan Gaume, and Yves Bühler

Data sets

Brämabühl_Avalanche_Jan2019_Dataset J. Glaus https://doi.org/10.5281/zenodo.15796702

Model code and software

JuliaGlaus/PIM_ProbabilityIndicationMap_Pipeline: Probability_Indication_Map (Version v1.0.0) Julia Glaus https://doi.org/10.5281/zenodo.21992505

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Short summary
Snow avalanches threaten roads, ski areas, and communities in mountain regions. We present a practical method to create daily maps showing where avalanches are likely to travel and how strong they may be. By combining weather data, snow measurements, and computer simulations, our approach supports safer decisions on road closures and avalanche control and helps protect people and infrastructure.
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