The Swiss Federal Institute for Forest, Snow and Landscape Research is concerned with the use, development and protection of natural and urban spaces. The focus of our research is on solving problems to do with the responsible use of landscapes and forests and a prudent approach to natural hazards, especially those common in mountainous countries. WSL occupies a leading position internationally in these research areas. We also provide groundwork for sustainable environmental policies in Switzerland.

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3 datasets found

  • Sensitivity of modeled snow instability

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the...

    Last updated: October 16, 2020

    • ZIP
    • numerical-avalanche-forecasting
    • snow-instability
    • snowpack
    • global-sensitivity-analysis
    • snow-cover-modeling
  • Weather, snowpack and danger ratings data for automated avalanche danger level predictions

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the...

    Last updated: April 13, 2023

    • CSV
    • SERVICE
    • numerical-avalanche-forecasting
    • machine-learning
    • avalanche-danger-level
    • avalanche
    • avalanche-forcasting
  • Weather, snowpack and avalanche occurrence data for automated prediction of wet-snow avalanche activity

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    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.,...

    Last updated: March 18, 2023

    • CSV
    • XLS
    • avalanche
    • numerical-avalanche-forecasting
    • wet-snow-avalanche
    • machine-learning
    • avalanche-forcasting