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Weather, snowpack and avalanche occurrence data for automated prediction of wet-snow avalanche activity
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Swiss Federal Institute for Forest, Snow and Landscape Research - view all
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Last updated2 years ago
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Overview

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/ .

AVALANCHEAVALANCHE FORCASTINGMACHINE LEARNINGNUMERICAL AVALANCHE FORECASTINGWET-SNOW AVALANCHE
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Harvest Object Id9886344c-263e-4f85-832c-37ec5174e9ca
Harvest Source Id8fc5dcf9-738c-468f-985c-d55347a92f88
Harvest Source TitleEnviDat
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