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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369060