Item: Applications of classification lree methodology to avalanche data management and forecasting
Title: Applications of classification lree methodology to avalanche data management and forecasting
Proceedings: Proceedings of the 1992 International Snow Science Workshop, Breckenridge, Colorado, USA
Authors: Robert E. Davis, Kelly Elder and Eddy Bouzaglou
Abstract: A common problem for avalanche-prone areas subject to forecasting and control responsibility is the identification of a set of critical meteorological parameters. While storm snowfall and snowfall intensity are generally accepted as among the most important, the complex interplay between terrain, wind, temperature, solar radiation and other meteorological variables makes identifying the next most important parameters difficult Classification tree methodology is introduced as a potential tool for identifying critical meteorological parameters associated with avalanche and control activities. The application of this methodology is described in the context of exploring a subset of the Mammoth Mountain avalanche and meteorology data base. The meteorological parameters most important to avalanche occurrence in two-years of data were identified from a set of thirteen variables from one observation site. It is shown how this information could be used to provide inputs to forecasting programs and guidance in establishing observation priorities.
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Keywords: terrain, wind, temperature, solar radiation
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