운용시스템에서의 해일고 예측과 추산 방법 개선

DC Field Value Language
dc.contributor.author 이종찬 -
dc.contributor.author 권재일 -
dc.contributor.author 최정운 -
dc.contributor.author 전기천 -
dc.contributor.author 김상익 -
dc.date.accessioned 2020-07-16T15:32:32Z -
dc.date.available 2020-07-16T15:32:32Z -
dc.date.created 2020-02-11 -
dc.date.issued 2011-06-03 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/28313 -
dc.description.abstract Surges around Korea have been predicted and hindcasted by Korea Operational Oceanographic System (KOOS). In KOOS, 3-day regional wind fields based on WRF model were imposed on a 2D tide model, and wind fields and tide were updated at every 12 hour-interval. This research summarized a reliable procedure for surge forecast and hindcast by focusing an event and surges in winter season. All results were compared with observed surges obtained with 1-minute interval. Studies on a surge event clearly showed that an accuracy of surge peak could be quite improved by using updated wind fields, however, sufficient tidal damping effect on surge peak should be considered when a peak occurred within 2 days for 3-day forecast. Also weighted average wind fields for first 12 hours were used in hindcast of surge, hindcasted surge showed a good agreement with observed surge peak. -
dc.description.uri 2 -
dc.language English -
dc.publisher 해양학회, -
dc.relation.isPartOf 2011년도 한국해양과학기술협의회 공동학술발표대회 -
dc.title 운용시스템에서의 해일고 예측과 추산 방법 개선 -
dc.title.alternative Improvement of Surge Prediction and Hindcast in Operating System -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 144 -
dc.citation.startPage 144 -
dc.citation.title 2011년도 한국해양과학기술협의회 공동학술발표대회 -
dc.contributor.alternativeName 이종찬 -
dc.contributor.alternativeName 권재일 -
dc.contributor.alternativeName 최정운 -
dc.contributor.alternativeName 전기천 -
dc.contributor.alternativeName 김상익 -
dc.identifier.bibliographicCitation 2011년도 한국해양과학기술협의회 공동학술발표대회, pp.144 -
dc.description.journalClass 2 -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 2. Conference Papers
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