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  • Titel
    A machine-learning approach for estimating the snow avalanche danger level and avalanche activity Christine Schönberger and Reinhard Fromm
  • Verfasser
  • Konferenz
  • Erscheinungsort
    Berlin
  • Erscheinungsjahr
    2023
  • Seiten
    1 S.
  • Material
    Sonderdruck
  • Digitales Dokument
  • Standardsignatur
    13141S
  • Datensatznummer
    40004182
  • Abstract
    Snow avalanche danger level and avalanche activity are key metrics for describing the prevailing hazard situation of mountainous areas during winter. Avalanche warning services publish avalanche bulletins, which include the regional avalanche danger levels and descriptions of the snow cover properties. Physically-based snow cover models calculate the detailed stratigraphy of the snowpack using meteorological variables as input.
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