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dc.contributor.authorLangodan, Sabique
dc.contributor.authorCavaleri, Luigi
dc.contributor.authorPomaro, Angela
dc.contributor.authorPortilla, Jesus
dc.contributor.authorAbualnaja, Yasser
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2018-01-15T06:10:41Z
dc.date.available2018-01-15T06:10:41Z
dc.date.issued2017-12-27
dc.identifier.citationLangodan S, Cavaleri L, Pomaro A, Portilla J, Abualnaja Y, et al. (2017) Unraveling Climatic Wind and Wave Trends in the Red Sea Using Wave Spectra Partitioning. Journal of Climate. Available: http://dx.doi.org/10.1175/jcli-d-17-0295.1.
dc.identifier.issn0894-8755
dc.identifier.issn1520-0442
dc.identifier.doi10.1175/jcli-d-17-0295.1
dc.identifier.urihttp://hdl.handle.net/10754/626772
dc.description.abstractThe wind and wave climatology of the Red Sea is derived from a validated 30-year high-resolution model simulation. After describing the relevant features of the basin, the main wind and wave systems are identified by using an innovative spectral partition technique to explain their genesis and characteristics. In the northern part of the sea, wind and waves of the same intensity are present throughout the year, while the central and southern zones are characterized by a marked seasonality. The partition technique allows the association of a general decrease in the energy of the different wave systems with a specific weather pattern. The most intense decrease is found in the northern storms, which are associated with meteorological pulses from the Mediterranean Sea.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST). It also made use of the Supercomputing Laboratory and computer clusters at KAUST. Sabique Langodan was supported by the General Commission of Survey (GCS), under a project number RGC/3/1612-01-01 made by Office of Sponsored research (ORS)/KAUST, Kingdom of Saudi Arabia. Luigi Cavaleri was partly supported by KAUST during his visits for research collaboration and, together with Angela Pomaro, by the E.U. contract 730030 (H2020-EO-2016, “CEASELESS”). Three anonymous reviewers and the editor, Oleg A. Saenko, provided valuable suggestions leading to an improvement of the paper.
dc.publisherAmerican Meteorological Society
dc.relation.urlhttp://journals.ametsoc.org/doi/10.1175/JCLI-D-17-0295.1
dc.rights© Copyright 2017 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org.
dc.titleUnraveling Climatic Wind and Wave Trends in the Red Sea Using Wave Spectra Partitioning
dc.typeArticle
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.identifier.journalJournal of Climate
dc.eprint.versionPost-print
dc.contributor.institutionInstitute of Marine Sciences, CNR-ISMAR, Venice, Italy
dc.contributor.institutionEscuela Politécnica Nacional, Department of Mechanical Engineering, Quito, Ecuador.
kaust.personLangodan, Sabique
kaust.personAbualnaja, Yasser
kaust.personHoteit, Ibrahim
kaust.grant.numberRGC/3/1612-01-01


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