Models in support of avalache forcasting at SLF - an overview
Date:
Lieu:
SLF Hörsaal
Organisé par:
SLF
Interventant/intervenante:
Frank Techel
Langue(s):
English
Type de manifestation:
Exposés et colloques
Public cible:
Everybody interested in this topic
Increasingly sophisticated algorithms have already become part of our lives. This development is also starting to extend to avalanche forecasting. It is starting to impact our work as forecasters and will eventually also influence our forecast products.
The operational model chain at SLF now encompasses the physical snow-cover model SNOWPACK but also recently developed machine-learning models. These models deliver predictions on various aspects relevant to regional avalanche forecasting, such as the likelihood of dry-snow or wet-snow avalanches in a region, snowpack instability, and the danger level. Taking the perspective of the avalanche forecaster, I will share examples to underscore the potential advantages and challenges associated with utilizing these models in operational avalanche forecasting at SLF.
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