Numerical Modelling of Large Swell Waves using Different Atmospheric Reanalysis Data in East Sea SCIE SCOPUS

DC Field Value Language
dc.contributor.author Ha, Taemin -
dc.contributor.author Heo, Ki-Young -
dc.contributor.author Jeon, Jung Sook -
dc.contributor.author Kang, Seokkoo -
dc.date.accessioned 2020-04-16T11:55:05Z -
dc.date.available 2020-04-16T11:55:05Z -
dc.date.created 2020-01-28 -
dc.date.issued 2017 -
dc.identifier.issn 0749-0208 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/1355 -
dc.description.abstract Recently, large swell waves have been attracted by many engineers and scientists in South Korea since the eastern coast of the Korean Peninsula has been frequently damaged by large swell waves for several years during winter season. These waves were occasionally higher than 3 m and could be very dangerous for people in beach areas. It has been identified that these waves originated from a certain cyclone passing over East Sea in recent researches. However, an apparent developing mechanism of large swell waves in East Sea is still remained unidentified. Numerical modelling of water waves using the third generation wave model is a convenient source for analysis of wave behaviors in the ocean. In this study, two well-known global atmospheric reanalysis data (ERA-Interim and NCEP FNL) were employed to simulate large swell waves in East Sea. Since sea surface wind is generally regarded as the most important source to wave models, different global reanalysis data should be carefully applied to wave models for better performance. Numerical results of wave models using two different reanalysis data were compared with available observational data and their performance reproducing large swell waves was evaluated both qualitatively and quantitatively. Both simulated wave products using ERA-Interim and NCEP FNL data were reasonably agreeable with corresponding observational data while wave products employing ERA-Interim data qualitatively represented development of observed wave profiles slightly better at certain locations than those employing NCEP FNL data. On the other hand, wave products using NCEP FNL data quantitatively represented observational wave heights slightly better than those using ERA-Interim data during the extreme events. -
dc.description.uri 1 -
dc.language English -
dc.publisher COASTAL EDUCATION & RESEARCH FOUNDATION -
dc.title Numerical Modelling of Large Swell Waves using Different Atmospheric Reanalysis Data in East Sea -
dc.type Article -
dc.citation.endPage 168 -
dc.citation.startPage 164 -
dc.citation.title JOURNAL OF COASTAL RESEARCH -
dc.contributor.alternativeName 허기영 -
dc.identifier.bibliographicCitation JOURNAL OF COASTAL RESEARCH, pp.164 - 168 -
dc.identifier.doi 10.2112/SI79-034.1 -
dc.identifier.scopusid 2-s2.0-85018162978 -
dc.identifier.wosid 000403856800034 -
dc.type.docType Article; Proceedings Paper -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordPlus ABNORMAL STORM WAVES -
dc.subject.keywordPlus COAST -
dc.subject.keywordPlus SYSTEM -
dc.subject.keywordPlus KOREA -
dc.subject.keywordPlus WIND -
dc.subject.keywordAuthor High-resolution simulation -
dc.subject.keywordAuthor regional atmospheric run -
dc.subject.keywordAuthor regional wave run -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.relation.journalWebOfScienceCategory Geography, Physical -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.relation.journalResearchArea Physical Geography -
dc.relation.journalResearchArea Geology -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 1. Journal Articles
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