Building a Dynamic Data Driven Application System for Hurricane Forecasting
Identifieur interne : 000424 ( Istex/Corpus ); précédent : 000423; suivant : 000425Building a Dynamic Data Driven Application System for Hurricane Forecasting
Auteurs : Gabrielle AllenSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common components: hurricane activity is aggravated by ongoing wetland erosion; water circulation models are used in hurricane forecasts, ecological planning and emergency response; environmental sensors provide information for models of different processes with varying spatial and time scales. This has prompted programs to build an integrated, comprehensive, computational framework for meteorological, coastal, and ecological models. Dynamic and adaptive capabilities are crucially important for such a framework, providing the ability to integrate coupled models with real-time sensor information, or to enable deadline based scenarios and emergency decision control systems. This paper describes the ongoing development of a Dynamic Data Driven Application System for coastal and environmental applications (DynaCode), highlighting the challenges of providing accurate and timely forecasts for hurricane events.
Url:
DOI: 10.1007/978-3-540-72584-8_136
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ISTEX:62C3A7AAD4AEACC6E50DD5A2B34C539ECEF86BD1Le document en format XML
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These problems are interconnected with common components: hurricane activity is aggravated by ongoing wetland erosion; water circulation models are used in hurricane forecasts, ecological planning and emergency response; environmental sensors provide information for models of different processes with varying spatial and time scales. This has prompted programs to build an integrated, comprehensive, computational framework for meteorological, coastal, and ecological models. Dynamic and adaptive capabilities are crucially important for such a framework, providing the ability to integrate coupled models with real-time sensor information, or to enable deadline based scenarios and emergency decision control systems. This paper describes the ongoing development of a Dynamic Data Driven Application System for coastal and environmental applications (DynaCode), highlighting the challenges of providing accurate and timely forecasts for hurricane events.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Dynamic data driven application systems</Keyword><Keyword>DDDAS</Keyword><Keyword>hurricane forecasting</Keyword><Keyword>event driven computing</Keyword><Keyword>priority computing</Keyword><Keyword>coastal modeling</Keyword><Keyword>computational frameworks</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Building a Dynamic Data Driven Application System for Hurricane Forecasting</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Building a Dynamic Data Driven Application System for Hurricane Forecasting</title></titleInfo><name type="personal"><namePart type="given">Gabrielle</namePart><namePart type="family">Allen</namePart><affiliation>Center for Computation & Technology and Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803</affiliation><affiliation>E-mail: gallen@cct.lsu.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common components: hurricane activity is aggravated by ongoing wetland erosion; water circulation models are used in hurricane forecasts, ecological planning and emergency response; environmental sensors provide information for models of different processes with varying spatial and time scales. This has prompted programs to build an integrated, comprehensive, computational framework for meteorological, coastal, and ecological models. Dynamic and adaptive capabilities are crucially important for such a framework, providing the ability to integrate coupled models with real-time sensor information, or to enable deadline based scenarios and emergency decision control systems. 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