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 Paper › Other

1 Citation (Scopus)

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
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4083-4086
Number of pages	4
ISBN (Print)	0780395107, 9780780395107
DOIs	https://doi.org/10.1109/IGARSS.2006.1051
Publication status	Published - 2006
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium 2006 - Denver, United States of America Duration: 31 Jul 2006 → 4 Aug 2006 https://ieeexplore.ieee.org/xpl/conhome/4087812/proceeding

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2006
Abbreviated title	IGARSS 2006
Country/Territory	United States of America
City	Denver
Period	31/07/06 → 4/08/06
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4087812/proceeding

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). (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/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. IEEE, Institute of Electrical and Electronics Engineers, 2006. pp. 4083-4086 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{7625800c18d84266b5df8f8c964c59f0,

title = "A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones",

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.",

author = "Oguz Demirci and Tyo, {J. Scott} and Ritchie, {Elizabeth A.}",

year = "2006",

doi = "10.1109/IGARSS.2006.1051",

language = "English",

isbn = "0780395107",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "4083--4086",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

address = "United States of America",

note = "IEEE International Geoscience and Remote Sensing Symposium 2006, IGARSS 2006 ; Conference date: 31-07-2006 Through 04-08-2006",

url = "https://ieeexplore.ieee.org/xpl/conhome/4087812/proceeding",

}

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. International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Institute of Electrical and Electronics Engineers, pp. 4083-4086, IEEE International Geoscience and Remote Sensing Symposium 2006, Denver, Colorado, United States of America, 31/07/06. 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. IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 4083-4086 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - A multivariable pattern recognition technique to predict extratropical transition of tropical cyclones

AU - Demirci, Oguz

AU - Tyo, J. Scott

AU - Ritchie, Elizabeth A.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=34948902302&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2006.1051

DO - 10.1109/IGARSS.2006.1051

M3 - Conference Paper

AN - SCOPUS:34948902302

SN - 0780395107

SN - 9780780395107

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4083

EP - 4086

BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Geoscience and Remote Sensing Symposium 2006

Y2 - 31 July 2006 through 4 August 2006

ER -

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. IEEE, Institute of Electrical and Electronics Engineers. 2006. p. 4083-4086. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2006.1051

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

Abstract

Publication series

Conference

Access to Document

Other files and links

Cite this