Weather, snowpack and avalanche occurrence data for automated prediction of wet-snow avalanche activity

DOI

Datasets used to implement the wet-snow avalanche activity model presented in the article:

Hendrick, M., Techel, F., Volpi, M., Olevski, T., Pérez-Guillén, C., van Herwijnen, A., Schweizer, J. (2023). Automated prediction of wet-snow avalanche activity in the Swiss Alps. Journal of Glaciology, under review

Each dataset includes the input variables (weather and snowpack features) and the target variable (wet-snow avalanche day or not) used to build the model. Additionally, Dataset3_nowcast and Dataset3_forecast contain the predictions provided by the RF12 model.

All input variables are described in the Appendix of the article and also in the read_me file. Further information on SNOWPACK variables is also available at https://models.slf.ch/p/snowpack/ .

Identifier
DOI https://doi.org/10.16904/envidat.384
Metadata Access https://www.envidat.ch/api/action/package_show?id=85784661-59c0-440c-a028-2c72e97350d5
Provenance
Creator Martin, Hendrick,; Frank, Techel, 0000-0001-5686-6127; Michele, Volpi,; Tasko, Olevski,; Cristina, Perez,; Alec, van Herwijnen, 0000-0001-5637-6486; Jürg, Schweizer, 0000-0001-5076-2968
Publisher EnviDat
Publication Year 2023
Funding Reference Swiss Data Science Center Grant, C18-05 “DEAPSsnow”
Rights wsl-data; WSL Data Policy
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N); Switzerland