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ISSW special edition EP4 - How can weather snow pack models improve the avalanche forecast?
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Creating an accurate avalanche forecast is by no means an easy task. Snow conditions change from hour to hour and meter to meter. Forecasters often har few observations and weather stations, and large regions to forecast.
One approach to improve to help the forecasters is to create a weather and snow pack models - and not only one, but a chain of models.
In this podcast we talk wit Florian Herla which has been working on such model chains together with the Norwegian Avalanche Warning Service and Simon Fraser University.
In the podcast we discuss the open source models AWSOME, which can be found at: https://gitlab.com/avalanche-warning
And the international working group AvaCollabra focusing on snow cover modeling in support of avalanche forecasting: https://gitlab.com/avacollabra
Florian Herlas contact information https://avalancheresearch.ca/team/herla/
And a link to a paper that validates the snowpack simulations in Canada, where many concepts from this podcast conversation can be found.
https://nhess.copernicus.org/articles/24/2727/2024/nhess-24-2727-2024.html
www.issw2024.com/registration
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