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UID:pretalx-juliacon-2026-9RKTV9@pretalx.com
DTSTART;TZID=CET:20260812T151000
DTEND;TZID=CET:20260812T152000
DESCRIPTION:When snow falls\, the landscape transforms into a sparkling whi
 te marvel. Beyond its beauty\, snow is essential to human sustenance acros
 s large regions: it replenishes drinking water supplies\, moderates our pl
 anet's temperature\, drives hydropower production\, and feeds irrigation s
 ystems. Yet snow also brings hazards. Avalanches pose a persistent threat 
 in mountainous terrain\, rapid snowmelt combined with heavy rainfall can t
 rigger devastating floods\, and intense snowfall events regularly disrupt 
 road and air traffic at considerable economic cost. Preparing effectively 
 for such events demands reliable forecasts of snow conditions. In Switzerl
 and\, where a substantial fraction of precipitation falls as snow\, the WS
 L Institute for Snow and Avalanche Research (SLF) provides such forecasts 
 using a physics-based snow modelling system recently implemented in the Ju
 lia programming language. These forecasts support avalanche and flood fore
 casting as well as weather-related hazard alerts. Our model is also used a
 cross a range of research projects\, including efforts to improve inflow f
 orecasts for Norwegian hydropower reservoirs and to better characterize sn
 ow dynamics on glaciers in high-mountain regions. Here\, we present a brie
 f overview of the operational use cases of this newly developed system alo
 ngside its research applications\, together with a more detailed account o
 f our technical implementation and the challenges encountered so far. We w
 elcome feedback on our technical implementation and are eager to explore p
 otential collaborations in which the model could be coupled with other Ear
 th system models.
DTSTAMP:20260502T113840Z
LOCATION:Room 3
SUMMARY:Snow modelling for operational and research applications - Jan Magn
 usson
URL:https://pretalx.com/juliacon-2026/talk/9RKTV9/
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