A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones

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

Abstract

Projection Pursuit algorithms have been used extensively to reduce the dimensionality of large data sets finding interesting low-dimensional projections. We are utilizing a multivariate projection pursuit algorithm to And the variabilities to differentiate the tropical cyclones that complete and fail to complete the extratropical transition in the Western North Pacific. The NOGAPS 500-mb geopotential height analyses and 250-mb wind vorticity fields have been used in the system as two variables. It has been found that addition of the vorticity variable improved the forecasting performance of the system compared to the use of 500-mb heights alone.

Original languageEnglish (US)
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages4100-4103
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: Jul 31 2006Aug 4 2006

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
CountryUnited States
CityDenver, CO
Period7/31/068/4/06

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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