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Application of physical snowpack models in support of operational avalanche hazard forecasting: A status report on current implementations and prospects for the future

Abstract : The application of numerical modelling of the snowpack in support of avalanche hazard prediction is increasing. Modelling, in complement to direct observations and weather forecasting, provides information otherwise unavailable on the present and future state of the snowpack and its mechanical stability. However, there is often a perceived mismatch between the capabilities of modelling tools developed by research organizations and implemented by some operational services, and the actual operational use of those by avalanche forecasters. This causes frustration on both sides. By summarizing currently implemented modelling tools specifically designed for avalanche forecasting, we intend to diminish and contribute to bridging this gap. We highlight specific features and potential added value, as well as challenges preventing a more widespread use of these modelling tools. Lessons learned from currently used methods are explored and provided, as well as prospects for the future, including a list of the most critical issues to be addressed.
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https://hal-insu.archives-ouvertes.fr/insu-03211809
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Submitted on : Thursday, April 29, 2021 - 9:21:16 AM
Last modification on : Friday, April 30, 2021 - 3:35:59 AM
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Samuel Morin, Simon Horton, Frank Techel, Mathias Bavay, Cécile Coléou, et al.. Application of physical snowpack models in support of operational avalanche hazard forecasting: A status report on current implementations and prospects for the future. Cold Regions Science and Technology, Elsevier, 2020, 170, pp.102910. ⟨10.1016/j.coldregions.2019.102910⟩. ⟨insu-03211809⟩

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