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contributor authorMailier, Pascal J.
contributor authorStephenson, David B.
contributor authorFerro, Christopher A. T.
contributor authorHodges, Kevin I.
date accessioned2017-06-09T17:27:48Z
date available2017-06-09T17:27:48Z
date copyright2006/08/01
date issued2006
identifier issn0027-0644
identifier otherams-85707.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229184
description abstractThe clustering in time (seriality) of extratropical cyclones is responsible for large cumulative insured losses in western Europe, though surprisingly little scientific attention has been given to this important property. This study investigates and quantifies the seriality of extratropical cyclones in the Northern Hemisphere using a point-process approach. A possible mechanism for serial clustering is the time-varying effect of the large-scale flow on individual cyclone tracks. Another mechanism is the generation by one ?parent? cyclone of one or more ?offspring? through secondary cyclogenesis. A long cyclone-track database was constructed for extended October?March winters from 1950 to 2003 using 6-h analyses of 850-mb relative vorticity derived from the NCEP?NCAR reanalysis. A dispersion statistic based on the variance-to-mean ratio of monthly cyclone counts was used as a measure of clustering. It reveals extensive regions of statistically significant clustering in the European exit region of the North Atlantic storm track and over the central North Pacific. Monthly cyclone counts were regressed on time-varying teleconnection indices with a log-linear Poisson model. Five independent teleconnection patterns were found to be significant factors over Europe: the North Atlantic Oscillation (NAO), the east Atlantic pattern, the Scandinavian pattern, the east Atlantic?western Russian pattern, and the polar?Eurasian pattern. The NAO alone is not sufficient for explaining the variability of cyclone counts in the North Atlantic region and western Europe. Rate dependence on time-varying teleconnection indices accounts for the variability in monthly cyclone counts, and a cluster process did not need to be invoked.
publisherAmerican Meteorological Society
titleSerial Clustering of Extratropical Cyclones
typeJournal Paper
journal volume134
journal issue8
journal titleMonthly Weather Review
identifier doi10.1175/MWR3160.1
journal fristpage2224
journal lastpage2240
treeMonthly Weather Review:;2006:;volume( 134 ):;issue: 008
contenttypeFulltext


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