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dc.contributor.authorLangodan, Sabique
dc.contributor.authorAntony, Charls
dc.contributor.authorPR, Shanas
dc.contributor.authorDasari, Hari Prasad
dc.contributor.authorAbualnaja, Yasser
dc.contributor.authorKnio, Omar
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2020-05-10T12:26:25Z
dc.date.available2020-05-10T12:26:25Z
dc.date.issued2020-05-01
dc.date.submitted2019-07-11
dc.identifier.citationLangodan, S., Antony, C., PR, S., Dasari, H. P., Abualnaja, Y., Knio, O., & Hoteit, I. (2020). Wave modeling of a reef-sheltered coastal zone in the Red Sea. Ocean Engineering, 207, 107378. doi:10.1016/j.oceaneng.2020.107378
dc.identifier.issn0029-8018
dc.identifier.doi10.1016/j.oceaneng.2020.107378
dc.identifier.urihttp://hdl.handle.net/10754/662777
dc.description.abstractThe coastal areas of the Red Sea are characterized by shallow banks of fringing and barrier reefs that provide protection against coastal hazards and erosion by dissipating wave energy. This study investigates the wave climate and extremes of a reef-protected coastal zone in the Red Sea using a high-resolution coupled wave and circulation model, ADCIRC + SWAN, configured on an unstructured grid forced with the meteorological fields from high-resolution regional atmospheric model. Our simulations suggest that the relatively narrow offshore reefs with steep fore-reef slopes dissipate 40–50% of the wave energy propagating towards the shoreline, and this is more pronounced during extremes. The impact of the coupling on determining the wave climate is negligible, but is significant for storms with ~10 cm higher significant wave height (Hs) during the observed period. The back-reef wave climatology computed from 30-year model simulations shows that the mean Hs distribution is uniform throughout the year, and extremes occur more often from February to May. Different return levels of Hs in the sheltered areas are estimated using extreme value analysis. Our results emphasize that preserving the complex offshore reefs is crucial for mitigating the coastal hazards of high-energy waves which are projected to increase with climate change.
dc.description.sponsorshipThis research was supported by funds from Office of Sponsored research (ORS) at King Abdulla University of Science and Technology (KAUST) under the Virtual Red Sea Initiative (Grant # REP/1/3268-01-01), the Saudi General Commission of Survey (GCS) under Project # RGC/3/1612-01-01, and King Abdullah Economic City (KAEC) under Project # RC/3/3237-01-01. It also made use of the Supercomputing Laboratory and computer clusters at KAUST.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S002980182030408X
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Ocean Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ocean Engineering, [207, , (2020-05-01)] DOI: 10.1016/j.oceaneng.2020.107378 . © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleWave modeling of a reef-sheltered coastal zone in the Red Sea
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentBeacon Development Company
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
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.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalOcean Engineering
dc.rights.embargodate2022-05-01
dc.eprint.versionPost-print
dc.identifier.volume207
dc.identifier.pages107378
kaust.personLangodan, Sabique
kaust.personAntony, Charls
kaust.personPR, Shanas
kaust.personDasari, Hari Prasad
kaust.personAbualnaja, Yasser
kaust.personKnio, Omar
kaust.personHoteit, Ibrahim
kaust.grant.numberREP/1/3268-01-01
kaust.grant.numberRGC/3/1612-01-01
dc.date.accepted2020-04-10
dc.identifier.eid2-s2.0-85084092580
refterms.dateFOA2020-05-11T06:49:16Z
kaust.acknowledged.supportUnitcomputer clusters at KAUST
kaust.acknowledged.supportUnitSupercomputing Laboratory
dc.date.published-online2020-05-01
dc.date.published-print2020-07


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