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dc.contributor.authorRobinson, NH
dc.contributor.authorPrudden, R
dc.contributor.authorArribas, A
dc.date.accessioned2019-09-11T08:12:28Z
dc.date.issued2017-11
dc.description.abstractEnvironmental datasets are becoming so large that they are increasingly being hosted in the compute cloud, where they can be efficiently analyzed and disseminated. However, this necessitates new ways of efficiently delivering environmental information across the Internet to users. We visualised a big atmospheric dataset in a web page by repurposing techniques normally used to stream HD video. You can try the prototype at http://demo.3dvis.informaticslab.co.uk/ng-3d-vis/apps/desktop/ or watch a video demonstration at www.youtube.com/watch?v=pzvk1ZNMvFY.en_GB
dc.identifier.citationVol. 98, pp. 2280 - 2283en_GB
dc.identifier.doi10.1175/bams-d-16-0120.1
dc.identifier.urihttp://hdl.handle.net/10871/38682
dc.language.isoenen_GB
dc.publisherAmerican Meteorological Societyen_GB
dc.rights© 2019 American Meteorological Society Privacy Policy and Disclaimer Allen Press, Inc. assists in the publication of AMS journals Technology Partner Atypon Systems, Inc.en_GB
dc.titleA New Approach to Streaming Data from the Clouden_GB
dc.typeArticleen_GB
dc.date.available2019-09-11T08:12:28Z
dc.identifier.issn0003-0007
dc.descriptionThis is the final version.Available from American Meteorological Society via the DOI in this record.en_GB
dc.identifier.journalBulletin of the American Meteorological Societyen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2017
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2017-11
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-09-11T08:05:49Z
refterms.versionFCDVoR
refterms.dateFOA2019-09-11T08:12:31Z
refterms.panelBen_GB


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