DocumentCode
2130687
Title
Application of spatiotemporal pattern recognition techniques on predicting extratropical transition (and reintensification) of tropical cyclones
Author
Demirci, O. ; Ritchie, E.A. ; Tyo, J. Scott
Author_Institution
ECE Dept., New Mexico Univ., Albuquerque, NM
Volume
1
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
452
Lastpage
455
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
Keywords
geophysical signal processing; meteorology; pattern recognition; principal component analysis; storms; wind; empirical orthogonal function analysis; extratropical transition prediction; meteorological field data; principal components analysis; reintensification process; spatiotemporal pattern recognition technique; traditional spatial decomposition; tropical cyclone; western North Pacific; Data mining; Meteorology; Ocean temperature; Pattern recognition; Principal component analysis; Psychology; Spatiotemporal phenomena; Storms; Tropical cyclones; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369060
Filename
1369060
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