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dc.contributor.authorKamranzad, B.en_US
dc.contributor.authorEternad Shahidi, A.en_US
dc.contributor.authorEtemad-Shahidi, A.en_US
dc.date.accessioned2017-05-03T13:12:34Z
dc.date.available2017-05-03T13:12:34Z
dc.date.issued2011en_US
dc.date.modified2012-05-28T22:34:21Z
dc.identifier.issn00298018en_US
dc.identifier.doi10.1016/j.oceaneng.2010.10.004en_US
dc.identifier.urihttp://hdl.handle.net/10072/44215
dc.description.abstractForecastingofwaveparametersisnecessaryformanymarineandcoastaloperations.Different forecastingmethodologieshavebeendevelopedusingthewindandwavecharacteristics.Inthispaper, artificialneuralnetwork(ANN)asarobustdatalearningmethodisusedtoforecastthewaveheightforthe next 3,6,12and24hinthePersianGulf.Todeterminetheeffectiveparameters,differentmodelswith various combinationsofinputparameterswereconsidered.Parameterssuchaswindspeed,directionand wave heightoftheprevious3h,werefoundtobethebestinputs.Furthermore,usingthedifference between waveandwinddirectionsshowedbetterperformance.Theresultsalsoindicatedthatifonlythe wind parametersareusedasmodelinputstheaccuracyoftheforecastingincreasesasthetimehorizon increasesupto6h.Thiscanbeduetothelowerinfluenceofpreviouswaveheightsonlargerleadtime forecastingandtheexistinglagbetweenthewindandwavegrowth.Itwasalsofoundthatinshortlead times, theforecastedwaveheightsprimarilydependonthepreviouswaveheights,whileinlargerlead times thereisagreaterdependenceonpreviouswindspeeds. &en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent157854 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom248en_US
dc.relation.ispartofpageto255en_US
dc.relation.ispartofissue1en_US
dc.relation.ispartofjournalOcean Engineeringen_US
dc.relation.ispartofvolume38en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchMaritime Engineering not elsewhere classifieden_US
dc.subject.fieldofresearchcode091199en_US
dc.titleWave height forecasting in Dayyer, the Persian Gulfen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2011 Elsevier Inc. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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