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Occurrence of blowing snow events at an alpine site over a 10-year period: Observations and modelling
Institution:1. Météo France/CNRS, CNRM-GAME URA, 1357 Toulouse, France;2. Météo France/CNRS, CNRM-GAME URA, 1357 CEN, St. Martin d’Hères, France;3. IRSTEA, UR ETNA, Saint-Martin d’Hères, France;1. WSL Institute for Snow and Avalanche Research SLF, Flüelastr. 11, 7260, Davos, Switzerland;2. Professor of Hydrology and Micrometeorology, Nicholas School of the Environment, Box 90328, Duke University, Durham, NC 27708-0328, U.S.A.;1. School of Forest Sciences, University of Eastern Finland (UEF), PO Box 111, 80101, Joensuu, Finland;2. Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box, 115, 1431, Ås, Norway;3. Joint Research Unit CTFC – AGROTECNIO, Crta. de St. Llorenç de Morunys, km 2., E- 25280, Solsona, Spain;1. Department of Wildland Resources, Utah State University, 5230 Old Main Hill, Logan, UT 84322-5230, USA;2. Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d’Etudes de la Neige, 1441 rue de la piscine, F-38400 Saint Martin d''Hères, France;3. WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, CH-7260 Davos Dorf, Switzerland
Abstract:Blowing snow events control the evolution of the snow pack in mountainous areas and cause inhomogeneous snow distribution. The goal of this study is to identify the main features of blowing snow events at an alpine site and assess the ability of the detailed snowpack model Crocus to reproduce the occurrence of these events in a 1D configuration. We created a database of blowing snow events observed over 10 years at our experimental site. Occurrences of blowing snow events were divided into cases with and without concurrent falling snow. Overall, snow transport is observed during 10.5% of the time in winter and occurs with concurrent falling snow 37.3% of the time. Wind speed and snow age control the frequency of occurrence. Model results illustrate the necessity of taking the wind-dependence of falling snow grain characteristics into account to simulate periods of snow transport and mass fluxes satisfactorily during those periods. The high rate of false alarms produced by the model is investigated in detail for winter 2010/2011 using measurements from snow particle counters.
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