Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3393-2022
https://doi.org/10.5194/tc-16-3393-2022
Research article
 | 
29 Aug 2022
Research article |  | 29 Aug 2022

Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting

Simon Horton and Pascal Haegeli

Viewed

Total article views: 1,504 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,127 318 59 1,504 43 48
  • HTML: 1,127
  • PDF: 318
  • XML: 59
  • Total: 1,504
  • BibTeX: 43
  • EndNote: 48
Views and downloads (calculated since 03 May 2022)
Cumulative views and downloads (calculated since 03 May 2022)

Viewed (geographical distribution)

Total article views: 1,504 (including HTML, PDF, and XML) Thereof 1,444 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Snowpack models can help avalanche forecasters but are difficult to verify. We present a method for evaluating the accuracy of simulated snow profiles using readily available observations of snow depth. This method could be easily applied to understand the representativeness of available observations, the agreement between modelled and observed snow depths, and the implications for interpreting avalanche conditions.