Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3149-2022
https://doi.org/10.5194/tc-16-3149-2022
Research article
 | 
03 Aug 2022
Research article |  | 03 Aug 2022

A data exploration tool for averaging and accessing large data sets of snow stratigraphy profiles useful for avalanche forecasting

Florian Herla, Pascal Haegeli, and Patrick Mair

Viewed

Total article views: 1,668 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,173 430 65 1,668 57 59
  • HTML: 1,173
  • PDF: 430
  • XML: 65
  • Total: 1,668
  • BibTeX: 57
  • EndNote: 59
Views and downloads (calculated since 09 Feb 2022)
Cumulative views and downloads (calculated since 09 Feb 2022)

Viewed (geographical distribution)

Total article views: 1,668 (including HTML, PDF, and XML) Thereof 1,612 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
We present an averaging algorithm for multidimensional snow stratigraphy profiles that elicits the predominant snow layering among large numbers of profiles and allows for compiling of informative summary statistics and distributions of snowpack layer properties. This creates new opportunities for presenting and analyzing operational snowpack simulations in support of avalanche forecasting and may inspire new ways of processing profiles and time series in other geophysical contexts.