Towards an integrated GIS‐based coastal forecast workflow
Identifieur interne : 000530 ( Istex/Corpus ); précédent : 000529; suivant : 000531Towards an integrated GIS‐based coastal forecast workflow
Auteurs : Gabrielle Allen ; Philip Bogden ; Gerry Creager ; Chirag Dekate ; Carola Jesch ; Hartmut Kaiser ; Jon Mclaren ; Will Perrie ; Gregory W. Stone ; Xiongping ZhangSource :
- Concurrency and Computation: Practice and Experience [ 1532-0626 ] ; 2008-09-25.
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- KwdEn :
Abstract
The SURA Coastal Ocean Observing and Prediction (SCOOP) program is using geographical information system (GIS) technologies to visualize and integrate distributed data sources from across the United States and Canada. Hydrodynamic models are run at different sites on a developing multi‐institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data‐driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data‐driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.
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DOI: 10.1002/cpe.1293
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ISTEX:9917C4674000F5FA2DB515054B2CFEEC11424648Le document en format XML
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Hydrodynamic models are run at different sites on a developing multi‐institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data‐driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data‐driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Gabrielle Allen</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string><json:string>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Philip Bogden</name><affiliations><json:string>Southeastern Universities Research Association, 1201 New York Avenue, Washington, DC 20005, U.S.A.</json:string><json:string>GoMOOS, 350 Commercial Street, Portland, ME 04101, U.S.A.</json:string></affiliations></json:item><json:item><name>Gerry Creager</name><affiliations><json:string>Academy for Advanced Telecommunications, 3139 TAMU, Texas A&M University, College Station, TX 77843‐3139, U.S.A.</json:string></affiliations></json:item><json:item><name>Chirag Dekate</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string><json:string>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Carola Jesch</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string><json:string>Wetland Biogeochemistry Institute, Department of Oceanography and Coastal Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Hartmut Kaiser</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Jon McLaren</name><affiliations><json:string>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</json:string></affiliations></json:item><json:item><name>Will Perrie</name><affiliations><json:string>Fisheries and Oceans, Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada</json:string></affiliations></json:item><json:item><name>Gregory W. 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We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. 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No. N00014‐04‐1‐0721;</note><note>National Oceanic and Atmospheric Administration - No. NA04NOS4730254;</note><note>Department of Natural Resources of Louisiana - No. 2511‐02‐24;</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Towards an integrated GIS‐based coastal forecast workflow</title><author xml:id="author-1"><persName><forename type="first">Gabrielle</forename><surname>Allen</surname></persName><note type="correspondence"><p>Correspondence: Center for Computation & Technology, 302 Johnston Hall, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</p></note><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-2"><persName><forename type="first">Philip</forename><surname>Bogden</surname></persName><affiliation>Southeastern Universities Research Association, 1201 New York Avenue, Washington, DC 20005, U.S.A.</affiliation><affiliation>GoMOOS, 350 Commercial Street, Portland, ME 04101, U.S.A.</affiliation></author><author xml:id="author-3"><persName><forename type="first">Gerry</forename><surname>Creager</surname></persName><affiliation>Academy for Advanced Telecommunications, 3139 TAMU, Texas A&M University, College Station, TX 77843‐3139, U.S.A.</affiliation></author><author xml:id="author-4"><persName><forename type="first">Chirag</forename><surname>Dekate</surname></persName><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-5"><persName><forename type="first">Carola</forename><surname>Jesch</surname></persName><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Wetland Biogeochemistry Institute, Department of Oceanography and Coastal Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-6"><persName><forename type="first">Hartmut</forename><surname>Kaiser</surname></persName><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-7"><persName><forename type="first">Jon</forename><surname>McLaren</surname></persName><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-8"><persName><forename type="first">Will</forename><surname>Perrie</surname></persName><affiliation>Fisheries and Oceans, Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada</affiliation></author><author xml:id="author-9"><persName><forename type="first">Gregory W.</forename><surname>Stone</surname></persName><affiliation>Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author><author xml:id="author-10"><persName><forename type="first">Xiongping</forename><surname>Zhang</surname></persName><affiliation>Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation></author></analytic><monogr><title level="j">Concurrency and Computation: Practice and Experience</title><title level="j" type="abbrev">Concurrency Computat.: Pract. 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Hydrodynamic models are run at different sites on a developing multi‐institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data‐driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data‐driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>Grid computing</term></item><item><term>geographic information systems</term></item><item><term>coastal modeling</term></item><item><term>SCOOP</term></item><item><term>SURA</term></item><item><term>open geospatial consortium</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2006-01-02">Received</change><change when="2007-11-27">Registration</change><change when="2008-09-25">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/9917C4674000F5FA2DB515054B2CFEEC11424648/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>John Wiley & Sons, Ltd.</publisherName><publisherLoc>Chichester, UK</publisherLoc></publisherInfo><doi registered="yes">10.1002/(ISSN)1532-0634</doi><issn type="print">1532-0626</issn><issn type="electronic">1532-0634</issn><idGroup><id type="product" value="CPE"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE">Concurrency and Computation: Practice and Experience</title><title type="short">Concurrency Computat.: Pract. 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2008</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="30" status="forIssue"><doi origin="wiley" registered="yes">10.1002/cpe.1293</doi><idGroup><id type="unit" value="CPE1293"></id></idGroup><countGroup><count type="pageTotal" number="15"></count></countGroup><titleGroup><title type="articleCategory">Research Article</title><title type="tocHeading1">Research Articles</title></titleGroup><copyright ownership="publisher">Copyright © 2008 John Wiley & Sons, Ltd.</copyright><eventGroup><event type="manuscriptReceived" date="2006-01-02"></event><event type="manuscriptRevised" date="2007-05-01"></event><event type="manuscriptAccepted" date="2007-11-27"></event><event type="publishedOnlineEarlyUnpaginated" date="2008-06-03"></event><event type="firstOnline" date="2008-06-03"></event><event type="publishedOnlineFinalForm" date="2008-08-22"></event><event type="xmlConverted" agent="Converter:JWSART34_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText mathml2tex" date="2010-04-09"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-16"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-16"></event></eventGroup><numberingGroup><numbering type="pageFirst">1637</numbering><numbering type="pageLast">1651</numbering></numberingGroup><correspondenceTo>Center for Computation & Technology, 302 Johnston Hall, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:CPE.CPE1293.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="4"></count><count type="tableTotal" number="1"></count><count type="referenceTotal" number="26"></count></countGroup><titleGroup><title type="main" xml:lang="en">Towards an integrated GIS‐based coastal forecast workflow</title><title type="short" xml:lang="en">TOWARDS AN INTEGRATED GIS‐BASED COASTAL FORECAST WORKFLOW</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1 #af2" corresponding="yes"><personName><givenNames>Gabrielle</givenNames><familyName>Allen</familyName></personName><contactDetails><email>gallen@cct.lsu.edu</email></contactDetails></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af3 #af4"><personName><givenNames>Philip</givenNames><familyName>Bogden</familyName></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af5"><personName><givenNames>Gerry</givenNames><familyName>Creager</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af1 #af2"><personName><givenNames>Chirag</givenNames><familyName>Dekate</familyName></personName></creator><creator xml:id="au5" creatorRole="author" affiliationRef="#af1 #af6"><personName><givenNames>Carola</givenNames><familyName>Jesch</familyName></personName></creator><creator xml:id="au6" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Hartmut</givenNames><familyName>Kaiser</familyName></personName></creator><creator xml:id="au7" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Jon</givenNames><familyName>McLaren</familyName></personName></creator><creator xml:id="au8" creatorRole="author" affiliationRef="#af7"><personName><givenNames>Will</givenNames><familyName>Perrie</familyName></personName></creator><creator xml:id="au9" creatorRole="author" affiliationRef="#af8"><personName><givenNames>Gregory W.</givenNames><familyName>Stone</familyName></personName></creator><creator xml:id="au10" creatorRole="author" affiliationRef="#af8"><personName><givenNames>Xiongping</givenNames><familyName>Zhang</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="US" type="organization"><unparsedAffiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="US" type="organization"><unparsedAffiliation>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="US" type="organization"><unparsedAffiliation>Southeastern Universities Research Association, 1201 New York Avenue, Washington, DC 20005, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af4" countryCode="US" type="organization"><unparsedAffiliation>GoMOOS, 350 Commercial Street, Portland, ME 04101, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af5" countryCode="US" type="organization"><unparsedAffiliation>Academy for Advanced Telecommunications, 3139 TAMU, Texas A&M University, College Station, TX 77843‐3139, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af6" countryCode="US" type="organization"><unparsedAffiliation>Wetland Biogeochemistry Institute, Department of Oceanography and Coastal Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</unparsedAffiliation></affiliation><affiliation xml:id="af7" countryCode="CA" type="organization"><unparsedAffiliation>Fisheries and Oceans, Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada</unparsedAffiliation></affiliation><affiliation xml:id="af8" countryCode="US" type="organization"><unparsedAffiliation>Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">Grid computing</keyword><keyword xml:id="kwd2">geographic information systems</keyword><keyword xml:id="kwd3">coastal modeling</keyword><keyword xml:id="kwd4">SCOOP</keyword><keyword xml:id="kwd5">SURA</keyword><keyword xml:id="kwd6">open geospatial consortium</keyword></keywordGroup><fundingInfo><fundingAgency>Office of Naval Research, Award</fundingAgency><fundingNumber>N00014‐04‐1‐0721</fundingNumber></fundingInfo><fundingInfo><fundingAgency>National Oceanic and Atmospheric Administration</fundingAgency><fundingNumber>NA04NOS4730254</fundingNumber></fundingInfo><fundingInfo><fundingAgency>Department of Natural Resources of Louisiana</fundingAgency><fundingNumber>2511‐02‐24</fundingNumber></fundingInfo><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>The SURA Coastal Ocean Observing and Prediction (SCOOP) program is using geographical information system (GIS) technologies to visualize and integrate distributed data sources from across the United States and Canada. Hydrodynamic models are run at different sites on a developing multi‐institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data‐driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data‐driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Towards an integrated GIS‐based coastal forecast workflow</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>TOWARDS AN INTEGRATED GIS‐BASED COASTAL FORECAST WORKFLOW</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Towards an integrated GIS‐based coastal forecast workflow</title></titleInfo><name type="personal"><namePart type="given">Gabrielle</namePart><namePart type="family">Allen</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><description>Correspondence: Center for Computation & Technology, 302 Johnston Hall, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Philip</namePart><namePart type="family">Bogden</namePart><affiliation>Southeastern Universities Research Association, 1201 New York Avenue, Washington, DC 20005, U.S.A.</affiliation><affiliation>GoMOOS, 350 Commercial Street, Portland, ME 04101, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gerry</namePart><namePart type="family">Creager</namePart><affiliation>Academy for Advanced Telecommunications, 3139 TAMU, Texas A&M University, College Station, TX 77843‐3139, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chirag</namePart><namePart type="family">Dekate</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Carola</namePart><namePart type="family">Jesch</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><affiliation>Wetland Biogeochemistry Institute, Department of Oceanography and Coastal Science, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hartmut</namePart><namePart type="family">Kaiser</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="family">McLaren</namePart><affiliation>Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Will</namePart><namePart type="family">Perrie</namePart><affiliation>Fisheries and Oceans, Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gregory W.</namePart><namePart type="family">Stone</namePart><affiliation>Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xiongping</namePart><namePart type="family">Zhang</namePart><affiliation>Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>John Wiley & Sons, Ltd.</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2008-09-25</dateIssued><dateCaptured encoding="w3cdtf">2006-01-02</dateCaptured><dateValid encoding="w3cdtf">2007-11-27</dateValid><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">4</extent><extent unit="tables">1</extent><extent unit="references">26</extent></physicalDescription><abstract lang="en">The SURA Coastal Ocean Observing and Prediction (SCOOP) program is using geographical information system (GIS) technologies to visualize and integrate distributed data sources from across the United States and Canada. Hydrodynamic models are run at different sites on a developing multi‐institutional computational Grid. Some of these predictive simulations of storm surge and wind waves are triggered by tropical and subtropical cyclones in the Atlantic and the Gulf of Mexico. Model predictions and observational data need to be merged and visualized in a geospatial context for a variety of analyses and applications. A data archive at LSU aggregates the model outputs from multiple sources, and a data‐driven workflow triggers remotely performed conversion of a subset of model predictions to georeferenced data sets, which are then delivered to a Web Map Service located at Texas A&M University. Other nodes in the distributed system aggregate the observational data. This paper describes the use of GIS within the SCOOP program for the 2005 hurricane season, along with details of the data‐driven distributed dataflow and workflow, which results in geospatial products. We also focus on future plans related to the complimentary use of GIS and Grid technologies in the SCOOP program, through which we hope to provide a wider range of tools that can enhance the tools and capabilities of earth science research and hazard planning. Copyright © 2008 John Wiley & Sons, Ltd.</abstract><note type="funding">Office of Naval Research, Award - No. N00014‐04‐1‐0721; </note><note type="funding">National Oceanic and Atmospheric Administration - No. NA04NOS4730254; </note><note type="funding">Department of Natural Resources of Louisiana - No. 2511‐02‐24; </note><subject lang="en"><genre>keywords</genre><topic>Grid computing</topic><topic>geographic information systems</topic><topic>coastal modeling</topic><topic>SCOOP</topic><topic>SURA</topic><topic>open geospatial consortium</topic></subject><relatedItem type="host"><titleInfo><title>Concurrency and Computation: Practice and Experience</title></titleInfo><titleInfo type="abbreviated"><title>Concurrency Computat.: Pract. Exper.</title></titleInfo><name type="personal"><namePart type="given">Marlon E.</namePart><namePart type="family">Pierce</namePart></name><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">1532-0626</identifier><identifier type="eISSN">1532-0634</identifier><identifier type="DOI">10.1002/(ISSN)1532-0634</identifier><identifier type="PublisherID">CPE</identifier><part><date>2008</date><detail type="title"><title>Grids and Geospatial Information Systems</title></detail><detail type="volume"><caption>vol.</caption><number>20</number></detail><detail type="issue"><caption>no.</caption><number>14</number></detail><extent unit="pages"><start>1637</start><end>1651</end><total>15</total></extent></part></relatedItem><relatedItem type="preceding"><titleInfo><title>Concurrency: Practice and Experience</title></titleInfo><identifier type="ISSN">1040-3108</identifier><identifier type="ISSN">1096-9128</identifier><part><date point="end">2000</date><detail type="volume"><caption>last vol.</caption><number>12</number></detail><detail type="issue"><caption>last no.</caption><number>15</number></detail></part></relatedItem><identifier type="istex">9917C4674000F5FA2DB515054B2CFEEC11424648</identifier><identifier type="DOI">10.1002/cpe.1293</identifier><identifier type="ArticleID">CPE1293</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2008 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>John Wiley & Sons, Ltd.</recordOrigin></recordInfo></mods></metadata><enrichments><json:item><type>multicat</type><uri>https://api.istex.fr/document/9917C4674000F5FA2DB515054B2CFEEC11424648/enrichments/multicat</uri></json:item></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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