Item: Automatic Classification of Manual Snow Profiles by Snow Structure
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Title: Automatic Classification of Manual Snow Profiles by Snow Structure
Proceedings: International Snow Science Workshop Grenoble – Chamonix Mont-Blanc - October 07-11, 2013
Authors:
- Frank Techel [ WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland ]
- Christine Pielmeier [ WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, Switzerland ]
Date: 2013-10-07
Abstract: Manual snowpack observations are an important component of avalanche hazard assessment for the Swiss avalanche forecasting service. Approximately 900 snow profiles are observed each winter, in flat study plots or on potential avalanche slopes. So far, these profiles are manually classified combining both information on snow stability (e.g. Rutschblock test) and snowpack structure (e.g. layering, hardness). To separate the classification of snowpack stability and structure, and also to reduce inconsistencies in ratings between forecasters, we developed and tested an automatic approach to classify profiles by snowpack structure during two winters. The automatic classification is based on a calculated index, which consists of three components: properties of (1) the slab (thickness), (2) weakest layer interface and (3) the percentage of the snowpack which is soft, coarsegrained and consists of persistent grain types. The latter two indices are strongly based on criteria described in the threshold sum approach. The new snowpack structure index allows a consistent comparison of snowpack structure to detect regional patterns, seasonal or inter-annual differences but may also supplement snow-climate classifications.
Language of Article: English
Presenters: Unknown
Keywords: snowpack structure, avalanche forecasting, snow profile analysis
Page Number(s): 253-258
Subjects: avalanche forecasting snow profile avalanche hazard
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Digital Abstract Not Available
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