A novel web-based system for tropical cyclone analysis and prediction
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 add...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Taylor and Francis
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/55840 |
| _version_ | 1848759721188655104 |
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| author | Leung, Yee-Hong Wong, M. Wong, K. Zhang, W. Leung, K. |
| author_facet | Leung, Yee-Hong Wong, M. Wong, K. Zhang, W. Leung, K. |
| author_sort | Leung, Yee-Hong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:04:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-55840 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:04:23Z |
| publishDate | 2012 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-558402017-09-13T16:10:52Z A novel web-based system for tropical cyclone analysis and prediction Leung, Yee-Hong Wong, M. Wong, K. Zhang, W. Leung, K. 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/55840 10.1080/13658816.2011.572075 Taylor and Francis restricted |
| spellingShingle | Leung, Yee-Hong Wong, M. Wong, K. Zhang, W. Leung, K. A novel web-based system for tropical cyclone analysis and prediction |
| title | A novel web-based system for tropical cyclone analysis and prediction |
| title_full | A novel web-based system for tropical cyclone analysis and prediction |
| title_fullStr | A novel web-based system for tropical cyclone analysis and prediction |
| title_full_unstemmed | A novel web-based system for tropical cyclone analysis and prediction |
| title_short | A novel web-based system for tropical cyclone analysis and prediction |
| title_sort | novel web-based system for tropical cyclone analysis and prediction |
| url | http://hdl.handle.net/20.500.11937/55840 |