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We analyze detailed snowpack simulations driven by meteorological stations in three different climate regimes (Alps, Central Andes, and Pyrenees), with accompanying wet snow avalanche activity observations. Predicting wet snow avalanche activity based on whether modeled water accumulations inside the snowpack locally exceed 5\u20136% volumetric liquid water content is providing a higher prediction skill than using thresholds for daily mean air temperature, or the daily sum of the positive snow energy balance. Additionally, the depth of the maximum water accumulation in the simulations showed a significant correlation with observed avalanche size. Direct output from detailed snow cover models thereby is able to provide a better regional assessment of dangerous slope aspects and potential avalanche size than traditional methods.<\/jats:p>","DOI":"10.1002\/2016gl068428","type":"journal-article","created":{"date-parts":[[2016,5,12]],"date-time":"2016-05-12T05:22:11Z","timestamp":1463030531000},"page":"5732-5740","source":"Crossref","is-referenced-by-count":42,"title":["Assessing wet snow avalanche activity using detailed physics based snowpack simulations"],"prefix":"10.1029","volume":"43","author":[{"given":"N.","family":"Wever","sequence":"first","affiliation":[{"name":"School of Architecture, Civil and Environmental Engineering \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne  Lausanne Switzerland"},{"name":"WSL Institute for Snow and Avalanche Research SLF  Davos Switzerland"}]},{"given":"C.","family":"Vera Valero","sequence":"additional","affiliation":[{"name":"WSL Institute for Snow and Avalanche Research SLF  Davos Switzerland"}]},{"given":"C.","family":"Fierz","sequence":"additional","affiliation":[{"name":"WSL Institute for Snow and Avalanche Research SLF  Davos Switzerland"}]}],"member":"13","published-online":{"date-parts":[[2016,6,4]]},"reference":[{"key":"e_1_2_6_2_1","series-title":"Chap. 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