A study of typhoon intensity change using satellite remote sensing data

Chung Ru Ho, Yu Ching Chsng, Yung Hsiang Lee, Zhe Wen Zheng, Shih Jen Huang, Nan Jung Kuo

Research output: Contribution to conferencePaper

Abstract

Mechanisms of influence on typhoon intensity change in the northwestern Pacific are studied by using satellite remote sensing data. A decision tree of data mining technique is applied to analyze the possible influence of geophysical parameters on typhoon intensity change. The related geophysical parameters include sea surface temperature, atmospheric water vapor, rain rate, sea surface height anomaly, and sea-air temperature difference. The total number of 14 Category-5 typhoons occurred between 2003 and 2007 in the northwestern Pacific is employed for this study. The results indicate that the major mechanism of influence on typhoon intensity change is seaair temperature difference and the second one is sea surface temperature. About 88% typhoon intensity is enhanced when a typhoon passes over the ocean where its sea surface temperature is larger than air temperature. The model is further validated by typhoon JANGMI. The accuracy and precision of this model are 82.3% and 85.7%, respectively.

Original languageEnglish
Publication statusPublished - 2011 Dec 1
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: 2011 Apr 102011 Apr 15

Other

Other34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
CountryAustralia
CitySydney, NSW
Period11/4/1011/4/15

Keywords

  • Air-sea interaction
  • Data mining
  • Decision tree
  • Northwestern pacific
  • Sea surface temperature
  • Typhoon

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Environmental Engineering

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  • Cite this

    Ho, C. R., Chsng, Y. C., Lee, Y. H., Zheng, Z. W., Huang, S. J., & Kuo, N. J. (2011). A study of typhoon intensity change using satellite remote sensing data. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.