A fast non-empirical tropical cyclone identification method

Norihiko Sugimoto, Minh Tuan Pham, Kanta Tachibana, Tomohiro Yoshikawa, Takeshi Furuhashi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationHurricanes and Climate Change
PublisherSpringer US
Pages251-263
Number of pages13
ISBN (Print)9789048195091
DOIs
Publication statusPublished - 2010 Dec 1

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ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

Sugimoto, N., Pham, M. T., Tachibana, K., Yoshikawa, T., & Furuhashi, T. (2010). A fast non-empirical tropical cyclone identification method. In Hurricanes and Climate Change (pp. 251-263). Springer US. https://doi.org/10.1007/978-0-387-09410-6_14