A statistical study of extreme nor'easter snowstorms

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...

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Bibliographic Details
Published in:Involve, a Journal of Mathematics
Main Authors: Karvetski, Christopher, Lund, Robert, Parisi, Francis
Format: Text
Language:English
Published: MSP 2009
Subjects:
extreme values
North Atlantic oscillation
peaks over threshold
Poisson processes
snowstorms
60G55
62G07
62G32
62M99
North Atlantic
Online Access:https://projecteuclid.org/euclid.involve/1513799167
https://doi.org/10.2140/involve.2009.2.341
Description
Summary: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.

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