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

Viewed

Total article views: 1,847 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
998 742 107 1,847 104 112
  • HTML: 998
  • PDF: 742
  • XML: 107
  • Total: 1,847
  • BibTeX: 104
  • EndNote: 112
Views and downloads (calculated since 09 Mar 2026)
Cumulative views and downloads (calculated since 09 Mar 2026)

Viewed (geographical distribution)

Total article views: 1,847 (including HTML, PDF, and XML) Thereof 1,818 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Oct 2026
Download
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.
Share