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dc.contributor.authorCastruccio, Stefano
dc.contributor.authorGenton, Marc G.
dc.date.accessioned2017-06-01T10:20:41Z
dc.date.available2017-06-01T10:20:41Z
dc.date.issued2014-01-06
dc.identifier.urihttp://hdl.handle.net/10754/623969
dc.subjectApplications
dc.titleEmulation of Global 3D Spatio-Temporal Temperature: A Distributed Computing Approach to Model 1 Billion Data Points
dc.typePoster
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStatistics Program
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)
dc.conference.dateJanuary 6-10, 2014
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
dc.conference.locationKAUST
kaust.personCastruccio, Stefano
kaust.personGenton, Marc G.
refterms.dateFOA2018-06-14T04:33:15Z


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