Comparison of the Predicted and the Observed Wave Spectral Parameters During the Storms at Filyos Coasts, the Southwestern Black Sea

dc.contributor.author Öztunalı Özbahçeci, Bergüzar
dc.contributor.author Güler, Muzaffer
dc.date.accessioned 2022-09-20T15:37:45Z
dc.date.available 2022-09-20T15:37:45Z
dc.date.issued 2022
dc.description.abstract In-situ wave measurement data are mainly used to validate the bulk wave parameters predicted by numerical models. Although the frequently used third-generation wave models are spectral models, determination of various spectral parameters and validation with the observed data are not common. This study covers the spectral analysis of selected storm records of a nearshore wave measurement campaign carried out at Filyos coasts with the complex bottom topography in Turkey, Southwestern Black Sea. The bulk wave and the spectral parameters are also calculated by a third-generation nearshore wave model, SWAN (Simulating Waves Nearshore), forced by the ERA5 offshore wave data, which is the newest re-analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) for the selected storms. Before using ERA5 offshore wave data, they are calibrated by the wave data of the satellite radar altimeter. In-situ measured bathymetry data are used in the SWAN model. Observed and predicted bulk wave and spectral parameters are compared, and the statistical error measures are calculated not only for the significant wave height, the peak period, and the peak wave direction but also for the three different spectral periods, three different frequency width parameters, a directional width and, a spectral peakedness parameter for the first time. Low values of statistical error measures show that the current wave predictions have a good agreement with the observed ones in terms of the significant wave height, Hs, and the peak period, Tp. However, the SWAN model predicts a slightly narrower frequency and directional spectrum with higher peaks, although the error measures are low. Moreover, SWAN can not predict the wide range of spectral shape occurrences that the observed spectra have. The development of the various spectral parameters during the storms is also investigated for the first time. It is found that the frequency and directional spreading of the observed spectra become wider and unsharpened in the late stages of the storm compared to the early stages. However, the same tendency is not observed clearly in the predicted directional spreading en_US
dc.identifier.doi 10.1016/j.csr.2022.104813
dc.identifier.issn 0278-4343
dc.identifier.issn 0278-4343 en_US
dc.identifier.scopus 2-s2.0-85135783887
dc.identifier.uri https://doi.org/10.1016/j.csr.2022.104813
dc.identifier.uri https://hdl.handle.net/11147/12443
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Continental Shelf Research en_US
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject ERA5 re-analysis en_US
dc.subject Spectral analysis en_US
dc.subject SWAN model en_US
dc.subject Wave measurement en_US
dc.subject Wave spectrum en_US
dc.title Comparison of the Predicted and the Observed Wave Spectral Parameters During the Storms at Filyos Coasts, the Southwestern Black Sea en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-5653-8681
gdc.author.id 0000-0002-5653-8681 en_US
gdc.author.institutional Öztunalı Özbahçeci, Bergüzar
gdc.author.institutional Güler, Muzaffer
gdc.bip.impulseclass C5
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gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Civil Engineering en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 246 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4286250222
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gdc.oaire.sciencefields 0103 physical sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.23524871
gdc.openalex.normalizedpercentile 0.57
gdc.opencitations.count 1
gdc.plumx.crossrefcites 1
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