Publication:
Wave climate simulation for the black sea basin

dc.contributor.authorVan Vledder, Gerbrant Ph.
dc.contributor.buuauthorAKPINAR, ADEM
dc.contributor.buuauthorBİNGÖLBALİ, BİLAL
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentİnşaat Mühendisliği Bölümü
dc.contributor.orcid0000-0002-5422-0119
dc.contributor.orcid0000-0001-6314-9118
dc.contributor.orcid0000-0003-4496-5974
dc.contributor.researcheridAAC-6763-2019
dc.contributor.researcheridAAB-4152-2020
dc.contributor.researcheridABE-8817-2020
dc.date.accessioned2024-08-12T10:12:36Z
dc.date.available2024-08-12T10:12:36Z
dc.date.issued2015-01-01
dc.descriptionBu çalışma, Haziran 28-03 Temmuz 03, 2015 tarihleri arasında Delft[Hollanda]’da düzenlenen 6. IAHR World Congress’da bildiri olarak sunulmuştur
dc.description.abstractThis study investigates long-term variability of wave characteristic trends in the Black Sea basin over a period of 31 years. The state-of-the art spectral wave model SWAN was applied to hindcast 31-year of wave conditions. The simulation results were used to assess the inter-annual variability and long-term changes in the wave climate of the Black Sea for the period 1979 to 2009. The model was forced with Climate Forecast System Reanalysis winds, which is determined as the best wind source in Van Vledder and Akpinar (2015). To obtain accurate and reliable results the wave model SWAN was calibrated and validated against all, but limited, available measurements at offshore and near-shore locations located in different regions of the Black Sea. In the calibration process, we focus on especially white-capping and wind input parameters and recently developed formulations. Thus, for the Black Sea basin the best setting and model with the best configuration for the source terms in the wind-wave modelling is obtained. The results of the wave hindcast were also validated against satellite data to assess the spatial variability of wave model quality. From the simulation results, the seasonal and spatial variability of the mean annual significant wave height and wave energy period is obtained and discussed.
dc.description.sponsorshipInt Assoc Hydro Environm Engn & Res
dc.description.sponsorshipBoskalis
dc.description.sponsorshipVan Oord
dc.description.sponsorshipUNESCO IHE
dc.description.sponsorshipDelft Univ Technol
dc.description.sponsorshipDeltares
dc.description.sponsorshipMinist Infrastructure & Environm, Rijkswaterstaat
dc.description.sponsorshipRoyal HaskoningDHV
dc.description.sponsorshipARCADIS
dc.description.sponsorshipWItteveen Bos
dc.description.sponsorshipAANDERAA
dc.description.sponsorshipPrince Sultan Bin Abulaziz Int Prize Water
dc.description.sponsorshipNATO Science for Stability Program
dc.identifier.endpage3579
dc.identifier.isbn978-90-824846-0-1
dc.identifier.startpage3570
dc.identifier.urihttps://hdl.handle.net/11452/43909
dc.identifier.wos000398996203078
dc.indexed.wosWOS.ISTP
dc.language.isoen
dc.publisherIahr-int Assoc Hydro-environment Engineering Research
dc.relation.journalProceedings Of The 36th Iahr World Congress
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi
dc.subjectCoastal regions
dc.subjectModel
dc.subjectTrends
dc.subjectSwan
dc.subjectSwan model
dc.subjectLong-term changes
dc.subjectInter-annual variability
dc.subjectBlack sea
dc.subjectScience & technology
dc.subjectPhysical sciences
dc.subjectWater resources
dc.titleWave climate simulation for the black sea basin
dc.typeProceedings Paper
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/İnşaat Mühendisliği Bölümü
relation.isAuthorOfPublication7613a1fe-c70a-4b3c-9424-e4d5cabe5d81
relation.isAuthorOfPublicationeae8fad3-a39c-4f74-b0a3-dc174fdc76ad
relation.isAuthorOfPublication.latestForDiscovery7613a1fe-c70a-4b3c-9424-e4d5cabe5d81

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