Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 6
Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1911-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1911-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 6
Research article
 | 
09 Jun 2022
Research article |  | 09 Jun 2022

On the correlation between a sub-level qualifier refining the danger level with observations and models relating to the contributing factors of avalanche danger

Frank Techel, Stephanie Mayer, Cristina Pérez-Guillén, Günter Schmudlach, and Kurt Winkler

Viewed

Total article views: 2,553 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,866 620 67 2,553 76 72
  • HTML: 1,866
  • PDF: 620
  • XML: 67
  • Total: 2,553
  • BibTeX: 76
  • EndNote: 72
Views and downloads (calculated since 23 Feb 2022)
Cumulative views and downloads (calculated since 23 Feb 2022)

Viewed (geographical distribution)

Total article views: 2,553 (including HTML, PDF, and XML) Thereof 2,396 with geography defined and 157 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jul 2025
Download
Short summary
Can the resolution of forecasts of avalanche danger be increased by using a combination of absolute and comparative judgments? Using 5 years of Swiss avalanche forecasts, we show that, on average, sub-levels assigned to a danger level reflect the expected increase in the number of locations with poor snow stability and in the number and size of avalanches with increasing forecast sub-level.
Read more
Share
Altmetrics
Final-revised paper
Preprint