TY - GEN
T1 - A fast non-empirical tropical cyclone identification method
AU - Sugimoto, Norihiko
AU - Pham, Minh Tuan
AU - Tachibana, Kanta
AU - Yoshikawa, Tomohiro
AU - Furuhashi, Takeshi
PY - 2009/12/1
Y1 - 2009/12/1
N2 - We propose a high speed non-empirical method to detect centers of tropical cyclones, which is useful to identify tropical cyclones in huge climatology data. In this method, centers of tropical cyclones are detected automatically by iteration of streamline in down-stream direction from some initial positions. We also bend the path of streamline successively to converge on the center of tropical cyclone rapidly. Since this method is free from empirical conditions used in the conventional method, the accuracy is independent of these conditions. Moreover, because the proposed method does not need to check these at all grid points, computational cost is significantly reduced. We compare the accuracy and effectiveness of the method with those of the conventional one for tropical cyclone identification task in observational data. Our method could find almost all tropical cyclones, some of which were not identified by the conventional method. This method will be useful for future huge climatology data, since computational cost does not depend on the number of grid points.
AB - We propose a high speed non-empirical method to detect centers of tropical cyclones, which is useful to identify tropical cyclones in huge climatology data. In this method, centers of tropical cyclones are detected automatically by iteration of streamline in down-stream direction from some initial positions. We also bend the path of streamline successively to converge on the center of tropical cyclone rapidly. Since this method is free from empirical conditions used in the conventional method, the accuracy is independent of these conditions. Moreover, because the proposed method does not need to check these at all grid points, computational cost is significantly reduced. We compare the accuracy and effectiveness of the method with those of the conventional one for tropical cyclone identification task in observational data. Our method could find almost all tropical cyclones, some of which were not identified by the conventional method. This method will be useful for future huge climatology data, since computational cost does not depend on the number of grid points.
UR - http://www.scopus.com/inward/record.url?scp=84900640755&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900640755&partnerID=8YFLogxK
U2 - 10.1007/978-0-387-09410-6
DO - 10.1007/978-0-387-09410-6
M3 - Conference contribution
AN - SCOPUS:84900640755
SN - 9780387094090
T3 - Hurricanes and Climate Change
SP - 251
EP - 263
BT - Hurricanes and Climate Change
T2 - 2007 Summit on Hurricanes and Climate Change
Y2 - 27 May 2007 through 30 May 2007
ER -