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dc.contributor.authorKhazaei, Bahram
dc.contributor.authorMoghimi, Saeed
dc.contributor.authorMani, Soroosh
dc.contributor.authorMyers, Edward
dc.contributor.authorZhang, Yinglong J.
dc.contributor.authorLiu, Yonggang
dc.date.accessioned2026-08-20T11:06:54Z
dc.date.available2026-08-20T11:06:54Z
dc.date.copyright2025/11/06
dc.date.issued2026
dc.identifier.otherJHYEFF.HEENG-6624.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311712
dc.description.abstractAbstractThe escalating frequency of extreme coastal events, exemplified by hurricanes and floods, underscores the necessity of robust monitoring and flood prediction tools. Given the limitations of observations, numerical models offer opportunities to ...Practical ApplicationsWith the increasing frequency of extreme coastal events like hurricanes and floods, there is greater need for accurate flood prediction tools. Coastal models can help predict flooding, but their accuracy depends heavily on input data,...
dc.publisherAmerican Society of Civil Engineers
dc.titleSensitivity Analysis of a Coastal Ocean Forecast Model to Nearshore Bathymetric Variability
dc.typeJournal Article
dc.journal.volume31
dc.journal.issue1
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/JHYEFF.HEENG-6624
dc.journal.fristpage04025047-1
dc.journal.lastpage04025047-17
dc.page17
dc.treeJournal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 001
dc.contenttypeFulltext


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