Application of spatio-temporal pattern recognition techniques to predicting extratropical transition of tropical cyclones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of Empirical Orthogonal Functions (EOF) a pattern recognition technique to analyze extratropical transition (ET) of tropical cyclones,is described. The EOF are applied by comparing the spatial distributions of 500 mb geopotential heights from many similar cases spatially referenced to the geographical location of a ET point. The spatio-temporal patterns help forecasters to predict ET intensification. The spatio-temporal pattern are used to differentiate ET cases using field data from times earlier than ET time.

Original languageEnglish (US)
Title of host publication26th Conference on Hurricanes and Tropical Meteorology
Pages647-648
Number of pages2
StatePublished - 2004
Externally publishedYes
Event26th Conference on Hurricanes and Tropical Meteorolgy - Miami, FL., United States
Duration: May 3 2004May 7 2004

Other

Other26th Conference on Hurricanes and Tropical Meteorolgy
CountryUnited States
CityMiami, FL.
Period5/3/045/7/04

Fingerprint

Orthogonal functions
Pattern recognition
Spatial distribution

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Application of spatio-temporal pattern recognition techniques to predicting extratropical transition of tropical cyclones. / Demirci, Oguz; Ritchie, Elizabeth A; Tyo, J Scott.

26th Conference on Hurricanes and Tropical Meteorology. 2004. p. 647-648.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Demirci, O, Ritchie, EA & Tyo, JS 2004, Application of spatio-temporal pattern recognition techniques to predicting extratropical transition of tropical cyclones. in 26th Conference on Hurricanes and Tropical Meteorology. pp. 647-648, 26th Conference on Hurricanes and Tropical Meteorolgy, Miami, FL., United States, 5/3/04.
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