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A statistical
study of extreme nor'easter snowstorms
Christopher Karvetski, Robert B. Lund and Francis Parisi
Vol. 2 (2009), No. 3, 341–350
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Abstract |
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This short paper studies the statistical characteristics of extreme snowstorms striking the eastern seaboard of the United States — the so-called nor’easters. Poisson regression techniques and extreme value methods are used to estimate return periods of storms of various snow volumes. Return periods of several memorable events are estimated, including the superstorm of 1993, the North American blizzard of 1996, and the blizzard of 1888. While nor’easters are found to occur more frequently in late winter than early winter, no evidence of increasing/decreasing storm frequencies in time or dependencies on the North Atlantic oscillation is found. |
Keywords
extreme values, North Atlantic oscillation, peaks over
threshold, Poisson processes, snowstorms
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Mathematical Subject Classification 2000
Primary: 60G55, 62G07, 62G32, 62M99
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Milestones
Received: 2 February 2009
Accepted: 22 April 2009
Published: 3 October 2009
Communicated by Sat Gupta
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Authors |
| Christopher Karvetski | |
| Department of Systems and
Information Engineering The University of Virginia PO Box 400747 Charlottesville, VA 22904 United States |
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| Robert B. Lund | |
| Department of Mathematical
Sciences Clemson University Clemson, SC 29634-0975 United States |
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| Francis Parisi | |
| Standard & Poor’s Structured Finance Research 55 Water Street New York City, NY 10041 United States |
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