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Analysis of the climatology of extreme weather events affecting Barrow, Alaska
Elizabeth N. Cassano, CIRES/Univ. of Colorado, Boulder, CO; and A. H. Lynch, M. R. Koslow, and C. Thornbrugh
Barrow, Alaska is located on the northernmost tip of Alaska at the intersection of the Beaufort and Chukchi Seas. The coastal geography of this region makes Barrow quite vulnerable to extreme weather events, which can result in significant flooding and erosion. This study is an analysis of high wind events in Barrow in the context of the synoptic climatology of the Western Arctic.
The analysis uses the Self-Organizing Map (SOM) algorithm - an unsupervised learning process that groups large, multivariate datasets onto a 2-dimensional array or map. A strength of this algorithm is there are no assumptions made as to the structure of the clusters of the data. The SOM algorithm is used here to produce a synoptic climatology of sea level pressure patterns for 53 years for the Western Arctic. The same clustering is used to examine the decadal variability of the synoptic climatology, and relate this to the observed variability in temperature, circulation and other climatic parameters.
Using this methodology, we study the extreme events that affect Barrow by including local variables, such as Barrow winds and fetch to the ice edge, in the SOM analysis. The highest winds and greatest fetch events can be weighted in order to find the patterns that cause the most significant damage. Hence, a map can be constructed that is representative of the synoptic patterns that produce extreme events in Barrow. It is intended that such an analysis will allow an assessment of the likely temporal variability of extreme events in Barrow into the future.
Session 1, Symposium on High-Latitude Climate Variations (Continued)
Monday, 12 May 2003, 1:30 PM-3:45 PM
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