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: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

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 languageEnglish
Title of host publication2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Subtitle of host publicationScience for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Pages452-455
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium 2004 - Anchorage, United States of America
Duration: 20 Sept 200424 Sept 2004

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2004
Abbreviated titleIGARSS 2004
Country/TerritoryUnited States of America
CityAnchorage
Period20/09/0424/09/04

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