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

Data sets

An averaging algorithm for snow profiles—Data and Code F. Herla, P. Mair, and P. Haegeli https://doi.org/10.17605/OSF.IO/7MA6G

Model code and software

sarp.snowprofile.alignment F. Herla, S. Horton, P. Mair, and P. Haegeli https://cran.r-project.org/web/packages/sarp.snowprofile.alignment/index.html

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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.