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

Herla, Florian; Haegeli, Pascal; Mair, Patrick

doi:https://doi.org/10.5194/tc-16-3149-2022

Articles | Volume 16, issue 8

The Cryosphere, 16, 3149–3162, 2022

https://doi.org/10.5194/tc-16-3149-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

The Cryosphere, 16, 3149–3162, 2022

https://doi.org/10.5194/tc-16-3149-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 8

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 et al.

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

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.