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Article: Efficient and effective tropical cyclone eye fix using genetic algorithms

TitleEfficient and effective tropical cyclone eye fix using genetic algorithms
Authors
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2004, v. 3213, p. 654-660 How to Cite?
AbstractWeather forecasting often requires extensive computationally expensive numerical analysis on remote sensing data. For example, to determine the position of a tropical cyclone (the TC eye fix problem), computationally intensive techniques, such as the analysis of wind fields or processing of fields of motion vectors, are needed. Given the volume and rate of data to be processed, these problems are often solved using mainframe computers or clusters of computers for timely results to be given. In this paper, a template matching method is proposed to solve a subclass of TC eye fix problems. Together with the use of genetic algorithm, an accuracy within 0.139 to 0.257 degrees in latitude/longitude on the Mercator projected map is possible on a desktop computer at a rate of about 12 seconds per 6 minutes of radar data. The accuracy is comparable to the relative error of about 0.3 degrees given by different TC warning centers. © Springer-Verlag 2004.
Persistent Identifierhttp://hdl.handle.net/10722/93196
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorYip, CLen_HK
dc.contributor.authorWong, KYen_HK
dc.date.accessioned2010-09-25T14:53:48Z-
dc.date.available2010-09-25T14:53:48Z-
dc.date.issued2004en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2004, v. 3213, p. 654-660en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93196-
dc.description.abstractWeather forecasting often requires extensive computationally expensive numerical analysis on remote sensing data. For example, to determine the position of a tropical cyclone (the TC eye fix problem), computationally intensive techniques, such as the analysis of wind fields or processing of fields of motion vectors, are needed. Given the volume and rate of data to be processed, these problems are often solved using mainframe computers or clusters of computers for timely results to be given. In this paper, a template matching method is proposed to solve a subclass of TC eye fix problems. Together with the use of genetic algorithm, an accuracy within 0.139 to 0.257 degrees in latitude/longitude on the Mercator projected map is possible on a desktop computer at a rate of about 12 seconds per 6 minutes of radar data. The accuracy is comparable to the relative error of about 0.3 degrees given by different TC warning centers. © Springer-Verlag 2004.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleEfficient and effective tropical cyclone eye fix using genetic algorithmsen_HK
dc.typeArticleen_HK
dc.identifier.emailYip, CL:clyip@cs.hku.hken_HK
dc.identifier.emailWong, KY:kywong@cs.hku.hken_HK
dc.identifier.authorityYip, CL=rp00205en_HK
dc.identifier.authorityWong, KY=rp00187en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-28444481013en_HK
dc.identifier.hkuros93338en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-28444481013&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3213en_HK
dc.identifier.spage654en_HK
dc.identifier.epage660en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridYip, CL=7101665547en_HK
dc.identifier.scopusauthoridWong, KY=7404759205en_HK

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