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A novel web-based system for tropical cyclone analysis and prediction

  • Yee Leung
  • , Man Hong Wong
  • , Ka Chun Wong
  • , Wei Zhang
  • , Kwong Sak Leung

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A web-based system is developed for the analysis and prediction of tropical cyclones, particularly their landfalls and recurvatures. To facilitate accessibility to the system, its development is based on Google Maps application programming interface (API), Java and client/server architecture. In addition to the construction of a powerful query system for the multi-source, multi-scale and multi-level tropical cyclone database, data mining approach and dynamic modelling approach have been implemented and integrated for effective and efficient analysis, prediction and visualization of tropical cyclone movements. The system can be accessed worldwide by researchers, professionals and the general public. It is thus a powerful system for research, real-life application and knowledge dissemination. Its extensibility and user-friendliness pave the road for further development and enable more in-depth analysis and real-time operation. © 2012 Copyright Taylor and Francis Group, LLC.
Original languageEnglish
Pages (from-to)75-97
JournalInternational Journal of Geographical Information Science
Volume26
Issue number1
DOIs
Publication statusPublished - Jan 2012
Externally publishedYes

Research Keywords

  • data mining
  • landfall
  • recurvature
  • tropical cyclones
  • web-based system

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