Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones

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

Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones

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

Research output: Contribution to conference › Paper › peer-review

Abstract

Traditional spatial decompositions such as application of Empirical Orthogonal Functions and Principal Components Analysis (PCA) of meteorological field data have received wide attention in numerous forecasting and analysis applications. The method has been used to identify the important spatial patterns in meteorological fields. Defining the variability between various cases of tropical cyclones is another application of the method. We are utilizing spatial and temporal data as a tool to differentiate the TCs that complete and fail to complete extratropical transition in the western North Pacific. It has been shown that EOF Analysis is a promising tool in the prediction of reintensification of TCs after ET.

Original language	English (US)
Pages	452-455
Number of pages	4
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States Duration: Sep 20 2004 → Sep 24 2004

Other

Other	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Country/Territory	United States
City	Anchorage, AK
Period	9/20/04 → 9/24/04

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Cite this

Demirci, O., Ritchie, E. A., & Tyo, J. S. (2004). Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones. 452-455. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones. / Demirci, Oguz; Ritchie, Elizabeth A.; Tyo, J. Scott.
2004. 452-455 Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

Research output: Contribution to conference › Paper › peer-review

Demirci, O, Ritchie, EA & Tyo, JS 2004, 'Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones', Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States, 9/20/04 - 9/24/04 pp. 452-455.

Demirci O, Ritchie EA, Tyo JS. Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones. 2004. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

Demirci, Oguz ; Ritchie, Elizabeth A. ; Tyo, J. Scott. / Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.4 p.

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Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones

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ASJC Scopus subject areas

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