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Snow distribution in a steep mid-latitude alpine catchment
Institution:1. National Center for Atmospheric Research, Boulder, CO, USA;2. Canadian Centre for Climate Modeling and Analysis, Environment and Climate Change Canada, Victoria, British Columbia, Canada;3. Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK;1. Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium;2. Research Foundation Flanders (FWO), Brussels, Belgium;3. Department of Geography, “Stefan cel Mare” University of Suceava, Romania;4. River Forecast, Hydrology and Hydrogeology Bureau of The SIRET Water Branch, Bacau, Romania
Abstract:Snow distribution patterns are still poorly understood in steep alpine catchments because of mass redistribution from wind and avalanching. Snow models rarely operate with sufficient resolution, physics or input data to resolve this issue explicitly, and existing sub-grid parameterisations are rarely tested in this type of terrain. To address this issue daily snow cover observations, obtained from a ground-based camera, are combined with a snow melt model to estimate the spatial distribution of snow water equivalent (SWE) in a mountainous alpine catchment. Results show the importance of slope in controlling the spatial distribution of SWE and snow duration. This distribution is linked to the physical process of gravitational transport, where there is removal of snow from steep slopes and preferential deposition on moderate-angle slopes. From a modelling perspective, if sub-grid snow variability is parameterised using a log-normal probability distribution (as is common in hydrological and land-use models) then ignoring steep/shallow slope differences leads to an overestimation of melt at the beginning of the melt season, and a premature end to the snow melt season. When modelling SWE in complex terrain, care should be taken to consider reduced SWE on steep slopes.
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