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

Oguz Demirci; J. Scott Tyo; Elizabeth A. Ritchie

doi:10.1109/IGARSS.2006.1051

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

Oguz Demirci, J. Scott Tyo, Elizabeth A. Ritchie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4083-4086
Number of pages	4
ISBN (Print)	0780395107, 9780780395107
DOIs	https://doi.org/10.1109/IGARSS.2006.1051
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: Jul 31 2006 → Aug 4 2006

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/Territory	United States
City	Denver, CO
Period	7/31/06 → 8/4/06

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2006.1051

Cite this

Demirci, O., Tyo, J. S., & Ritchie, E. A. (2006). A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS (pp. 4083-4086). Article 4242199 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2006.1051

A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones. / Demirci, Oguz; Tyo, J. Scott; Ritchie, Elizabeth A.
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Institute of Electrical and Electronics Engineers Inc., 2006. p. 4083-4086 4242199 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Demirci, O, Tyo, JS & Ritchie, EA 2006, A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4242199, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 4083-4086, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 7/31/06. https://doi.org/10.1109/IGARSS.2006.1051

Demirci O, Tyo JS, Ritchie EA. A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Institute of Electrical and Electronics Engineers Inc. 2006. p. 4083-4086. 4242199. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2006.1051

Demirci, Oguz ; Tyo, J. Scott ; Ritchie, Elizabeth A. / A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones. 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 4083-4086 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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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.",

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

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