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Prediction of heavy snow events in the Snake River Plain using pattern recognition and regression techniques, Idaho
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2003
[PDF-2.89 MB]
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Alternative Title:Heavy snow events in the Snake River Plain
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Description:This study examines the heavy snow climatology of the Snake River Plain of eastern Idaho. Heavy snow is defined as 6 inches or more of snowfall in a 24 hour period. This climatology is based on synoptic patterns collected from National Weather Service (NWS) climate observing stations available from the National Climatic Data Center (NCDC) archives covering the historical period from 1949 to 1997. Identification of two synoptic-scale patterns conducive to heavy snow are examined for the region of study. The manuscript uses analog and multiple linear regression techniques to derive equations to estimate mean snowfall amounts for the Snake River Plain which includes these subregions: Upper Snake River Plain, Lower Snake River Plain, and eastern Magic Valley. Based on the patterns, the snowfall equations are expanded as a function of longitude, latitude, and elevation. Finally, a heavy snow event that occurred on 15 April 2002 is selected to test the accuracy of the regression equations.
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Content Notes:Thomas Andretta and William Wojcik.
Includes bibliographical references (pages 9-10).
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Rights Information:Public Domain
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Compliance:Library
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