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dc.contributor.authorAl-Attabi, ZR
dc.contributor.authorVoulgaris, G
dc.contributor.authorConley, DC
dc.date.accessioned2022-06-14T15:43:42Z
dc.date.available2022-06-14T15:43:42Z
dc.date.issued2021-10-01
dc.identifier.issn0739-0572
dc.identifier.issn1520-0426
dc.identifier.urihttp://hdl.handle.net/10026.1/19304
dc.description.abstract

<jats:title>Abstract</jats:title><jats:p>An examination of the applicability and accuracy of the empirical wave inversion method in the presence of swell waves is presented. The ability of the method to invert Doppler spectra to wave directional spectra and bulk wave parameters is investigated using one-month data from a 12 MHz WERA High Frequency (HF) radar system and in-situ data from a wave buoy. Three different swell inversion models are evaluated: LPM (Lipa et al. 1981), WFG (Wang et al. 2016) and EMP, an empirical approach introduced in this study. The swell inversions were carried out using two different scenarios: (1) a single beam from a single radar site and two beams from a single radar site, and (2) two beams from two sites (a single beam per site) intersecting each other at the buoy location. The LPM method utilized using two beams from two different sites was found to provide the best estimations of swell parameters (swell height RMS error 0.24m) and showed a good correlation with the partitioned swell in-situ values. For the wind wave inversion, the empirical method presented here is used with an empirical coefficient of 0.3 which seems to be suitable for universal application for all radar operating frequencies. The inverted swell parameters are used to create a swell spectrum which is combined with the inverted wind wave spectrum to create a full directional wave spectrum. The wave inversion method presented in this study although empirical does not require calibration with in situ data and can be applied to any beam forming system and operating frequency.</jats:p>

dc.format.extent1747-1775
dc.language.isoen
dc.publisherAmerican Meteorological Society
dc.subjectOcean
dc.subjectGravity waves
dc.subjectWaves
dc.subjectoceanic
dc.subjectWindwaves
dc.subjectInversions
dc.subjectAlgorithms
dc.subjectBuoy observations
dc.subjectData processing
dc.subjectData quality control
dc.subjectIn situ oceanic observations
dc.subjectMeasurements
dc.subjectRadars/Radar observations
dc.subjectRegression analysis
dc.subjectSea/ocean surface
dc.subjectSea state
dc.subjectRemote sensing
dc.titleEvaluation and Validation of HF Radar Swell and Wind wave Inversion Method
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000756637400005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue10
plymouth.volume38
plymouth.publication-statusPublished
plymouth.journalJournal of Atmospheric and Oceanic Technology
dc.identifier.doi10.1175/jtech-d-20-0186.1
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/PRIMaRE Publications
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-07-13
dc.rights.embargodate2022-6-17
dc.identifier.eissn1520-0426
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1175/jtech-d-20-0186.1
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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