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dc.contributor.authorToye, Habib
dc.contributor.authorKortas, Samuel
dc.contributor.authorZhan, Peng
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2017-05-04T12:33:23Z
dc.date.available2017-05-04T12:33:23Z
dc.date.issued2017-03-13
dc.identifier.urihttp://hdl.handle.net/10754/623353
dc.titleToward a fault-tolerant operational ensemble data assimilation forecasting system for the Red Sea
dc.typePoster
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentBeacon Development Company
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEarth Fluid Modeling and Prediction Group
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentKAUST Supercomputing Laboratory (KSL)
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSupercomputing, Computational Scientists
dc.conference.dateMarch 13-15, 2017
dc.conference.nameHigh Performance Computing Saudi Arabia (HPC Saudi) 2017
dc.conference.locationKAUST
kaust.personToye, Habib
kaust.personKortas, Samuel
kaust.personZhan, Peng
kaust.personHoteit, Ibrahim
refterms.dateFOA2018-06-13T16:22:31Z


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