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The Role of Secondary Cyclones and Cyclone Families for the North Atlantic Storm Track and Clustering over Western Europe

Priestley, Matthew D. K.; Dacre, Helen F.; Shaffrey, Len C.; Schemm, Sebastian; Pinto, Joaquim G.

Abstract (englisch):
Secondary cyclones are those that form in association with a pre‐existing primary cyclone, typically along a trailing cold front. In previously studied cases they have been shown to cause extreme damage across Europe, particularly when multiple cyclones track over the same location in rapid succession (known as cyclone clustering). To determine the dynamical relationship between primary and secondary cyclones over the North Atlantic, a frontal identification algorithm is partnered with a cyclone identification method to objectively identify secondary cyclones in 35 extended winter periods using reanalysis data. Cyclones are grouped into “cyclone families” consisting of a single primary cyclone and one or more secondary cyclones. This paper aims to quantify the differences between secondary and primary cyclones over the North Atlantic, and how cyclone families contribute to episodes of cyclone clustering across western Europe. Secondary cyclones are shown to occur most frequently in the central and eastern North Atlantic, whereas primary cyclones are commonly found over the western North Atlantic. Cyclone families have their strongest presence over the North Atlantic Ocean and contribute more than 50% of cyclones over the main North Atlantic storm track. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000105206
Veröffentlicht am 06.05.2020
DOI: 10.1002/qj.3733
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2020
Sprache Englisch
Identifikator ISSN: 0035-9009, 1477-870X
KITopen-ID: 1000105206
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Quarterly journal of the Royal Meteorological Society
Verlag John Wiley and Sons
Band 146
Heft 728
Seiten 1184-1205
Vorab online veröffentlicht am 26.12.2019
Nachgewiesen in Dimensions
Web of Science
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