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Relationships between tropical cyclones and heavy rainfall in the Carolina region of the USA
Author(s) -
Konrad Charles E.,
Perry L. Baker
Publication year - 2009
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.1894
Subject(s) - tropical cyclone , climatology , tropical cyclone rainfall forecasting , african easterly jet , precipitation , environmental science , tropical wave , middle latitudes , storm , tropical cyclone scales , extratropical cyclone , cyclone (programming language) , latitude , typhoon , meteorology , geography , geology , geodesy , field programmable gate array , computer science , computer hardware
A strong association exists between exceptionally heavy rainfall and the movement of tropical cyclones (i.e. tropical depressions, tropical storms, and hurricanes) across the Carolina region of the USA. There is much variability, however, in the precipitation totals associated with each tropical cyclone. This variability is at least partially tied to various interactions between mid‐latitude features and the moisture plume that is advected around the tropical cyclone. In the first part of this study, a 55‐year precipitation events climatology is constructed that quantifies the influence of tropical cyclones on precipitation events with varying return intervals. In particular, it shows that the majority of the heaviest precipitation events in the eastern three‐quarters of the region are associated with tropical cyclones. In the second part of this study, a synoptic climatology is developed that reveals the relationships between precipitation totals and various atmospheric variables. The variables include the speed of movement, size, and strength of the tropical system as well as the relative position and strength of various synoptic features surrounding the tropical system. These synoptic features include the location of fronts, regions of upper level divergence and areas of high water vapor contents in the atmosphere. A tree regression model is used to develop a classification that summarizes these multivariate relationships. Four classes of tropical cyclones are identified that effectively differentiate tropical cyclones that produce relatively light versus extraordinarily heavy rainfall. Copyright © 2009 Royal Meteorological Society