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dc.contributor.authorSaket, Arvin
dc.contributor.authorEtemad-Shahidi, Amir
dc.contributor.authorMoeini, Mohammad Hadi
dc.date.accessioned2017-05-03T16:06:35Z
dc.date.available2017-05-03T16:06:35Z
dc.date.issued2013
dc.date.modified2014-02-04T22:12:22Z
dc.identifier.issn0749-0208
dc.identifier.urihttp://hdl.handle.net/10072/54135
dc.description.abstractWind waves are the most important environmental forces acting on the marine structures. Due to the incompleteness of measured wave parameters, wave prediction plays a key role in the design of coastal and offshore structures. Nowadays, numerical wind wave models are widely used for wave hindcast and forecast. Since wind is the most important forcing term in the numerical wind wave model, the selection of appropriate wind source is a vital step in the wave modeling. In the present study; two wind sources i.e. the measured synoptic and the ECMWF (European Center for Medium Range Weather Forecasts) data, were evaluated for wave simulation near the Chabahar zone. To simulate wave parameters the third generation spectral SWAN model was utilized and the results were compared with those of in situ measurements in a depth of about 17 m. The whitecapping dissipation coefficient and bottom friction factor were used for calibration of the model. The sensitivity analysis showed that other physical parameters have no specific effect on the wave characteristics. Calibration of whitecapping dissipation rate led to the overestimation of high waves. Therefore, a combination of whitecapping dissipation and bottom friction factors was used to calibrate the model. It was found that the SWAN model forced by ECMWF wind data predicted the south-west and west waves successfully while underestimated the east, south-east and south waves. This was mainly due to well prediction of south-west and west wind and underestimation of wind from the east to the south by the ECMWF model. In addition, it was revealed that synoptic wind data can be used as an appropriate wind source for wave hindcasting at the studied area.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.description.sponsorshipGriffith University
dc.format.extent2722893 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherCoastal Education & Research Foundation (CERF)
dc.publisher.placeUnited States
dc.publisher.urihttps://meridian.allenpress.com/jcr/article-abstract/doi/10.2112/SI65-065.1/192422/Evaluation-of-ECMWF-wind-data-for-wave-hindcast-in?redirectedFrom=fulltext
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom380
dc.relation.ispartofpageto385
dc.relation.ispartofjournalJournal of Coastal Research
dc.relation.ispartofvolumeSI 65
dc.relation.urihttp://purl.org/au-research/grants/ARC/LE170100090
dc.relation.grantIDLE170100090
dc.relation.fundersARC
dc.rights.retentionY
dc.subject.fieldofresearchEarth sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchCivil engineering not elsewhere classified
dc.subject.fieldofresearchcode37
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode400599
dc.titleEvaluation of ECMWF wind data for wave hindcast in Chabahar zone
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2013 CERF. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorEtemad Shahidi, Amir F.


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