Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/26382
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dc.contributor.authorVan Vledder, Gerbrant Ph.-
dc.date.accessioned2022-05-11T10:30:00Z-
dc.date.available2022-05-11T10:30:00Z-
dc.date.issued2015-10-
dc.identifier.citationVan Vledder, G. P. ve Akpınar, A. (2015). "Wave model predictions in the Black Sea: Sensitivity to wind fields". Applied Ocean Research, 53, 161-178.en_US
dc.identifier.issn0141-1187-
dc.identifier.urihttps://doi.org/10.1016/j.apor.2015.08.006-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0141118715001121-
dc.identifier.urihttp://hdl.handle.net/11452/26382-
dc.description.abstractThis paper evaluates the impact of using different wind field products on the performance of the third generation wave model SWAN in the Black Sea and its capability for predicting both normal and extreme wave conditions during 1996. Wind data were obtained from NCEP CFSR, NASA MERRA, JRA-25, ECMWF Operational, ECMWF ERA40, and ECMWF ERA-Interim. Wave data were obtained in 1996 at three locations in the Black Sea within the NATO TU-WAVES project. The quality of wind fields was assessed by comparing them with satellite data. These wind data were used as forcing fields for the generation of wind waves. Time series of predicted significant wave height (H-mo), mean wave period (T-m02), and mean wave direction (DIR) were compared with observations at three offshore buoys in the Black Sea and its performance was quantified in terms of statistical parameters. In addition, wave model performance in terms of significant wave height was also assessed by comparing them against satellite data. The main scope of this work is the impact of the different available wind field products on the wave hindcast performance. In addition, the sensitivity of wave model forecasts due to variations in spatial and temporal resolutions of the wind field products was investigated. Finally, the impact of using various wind field products on predicting extreme wave events was analyzed by focussing on storm peaks and on an individual storm event in October 1996. The numerical results revealed that the CFSR winds are more suitable in comparison with the others for modelling both normal and extreme events in the Black Sea. The results also show that wave model output is critically sensitive to the choice of the wind field product, such that the quality of the wind fields is reflected in the quality of the wave predictions. A finer wind spatial resolution leads to an improvement of the wave model predictions, while a finer temporal resolution in the wind fields generally does not significantly improve agreement between observed and simulated wave data.en_US
dc.description.sponsorshipNATO Science for Stability Programen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlack Seaen_US
dc.subjectSemi-enclosed basinsen_US
dc.subjectSWANen_US
dc.subjectWave predictionen_US
dc.subjectWind reanalysesen_US
dc.subjectWind wavesen_US
dc.subjectCoastal regionsen_US
dc.subjectPerformanceen_US
dc.subjectSwanen_US
dc.subjectImprovementen_US
dc.subjectAccuracyen_US
dc.subjectJra-25en_US
dc.subjectGrowthen_US
dc.subjectEngineeringen_US
dc.subjectOceanographyen_US
dc.subjectForecastingen_US
dc.subjectNASAen_US
dc.subjectSensitivity analysisen_US
dc.subjectStormsen_US
dc.subjectWater wavesen_US
dc.subjectBlack seaen_US
dc.subjectSemi-enclosed basinsen_US
dc.subjectSWANen_US
dc.subjectWave predictionsen_US
dc.subjectWind waveen_US
dc.subjectExtreme eventen_US
dc.subjectPredictionen_US
dc.subjectSatellite dataen_US
dc.subjectSemienclosed seaen_US
dc.subjectSensitivity analysisen_US
dc.subjectSignificant wave heighten_US
dc.subjectWave modelingen_US
dc.subjectWind fielden_US
dc.subjectWind waveen_US
dc.subjectOcean currentsen_US
dc.titleWave model predictions in the Black Sea: Sensitivity to wind fieldsen_US
dc.typeArticleen_US
dc.identifier.wos000367023300016tr_TR
dc.identifier.scopus2-s2.0-84941897010tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0002-9042-6851tr_TR
dc.identifier.startpage161tr_TR
dc.identifier.endpage178tr_TR
dc.identifier.volume53tr_TR
dc.relation.journalApplied Ocean Researchen_US
dc.contributor.buuauthorAkpınar, Adem-
dc.contributor.researcheridABE-8817-2020tr_TR
dc.contributor.researcheridAAC-6763-2019tr_TR
dc.relation.collaborationYurt dışıtr_TR
dc.subject.wosEngineering, oceanen_US
dc.subject.wosOceanographyen_US
dc.indexed.wosSCIEen_US
dc.indexed.scopusScopusen_US
dc.wos.quartileQ3 (Oceanography)en_US
dc.wos.quartileQ2 (Engineering, ocean)en_US
dc.contributor.scopusid23026855400tr_TR
dc.subject.scopusWave Energy; Wind Power; Data Buoyen_US
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