The avievement of KOOS in national agencies and industries

DC Field Value Language
dc.contributor.author Kim, Nam Hoon -
dc.contributor.author Kwon, Jae Il -
dc.contributor.author Choi, Jin Yong -
dc.contributor.author Heo, Ki Young -
dc.contributor.author Choi, Jung Woon -
dc.contributor.author Jeong, Sang Hun -
dc.contributor.author Kwon, Yeong Yeon -
dc.contributor.author Kim, Ho Jin -
dc.contributor.author Kim, Deok Su -
dc.contributor.author Gu, Bon Ho -
dc.contributor.author Park, Sung Hwan -
dc.contributor.author Chun, Je Yun -
dc.date.accessioned 2024-01-03T05:31:19Z -
dc.date.available 2024-01-03T05:31:19Z -
dc.date.created 2023-11-28 -
dc.date.issued 2023-11-09 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/45150 -
dc.description.abstract The Korea Institute of Ocean Science and Technology (KIOST) has been conducting the KOOS (Korea Operational Oceanographic System) project since 2009. KOOS has been operating several forecasting systems depending on the domain of the target sea. Among them, coastal-KOOS, which forecasts around the Korean Peninsula, has been in operation since 2016 with a 300 m spatial resolution. Currently, coastal-KOOS is undergoing an upgrade to improve its forecasting accuracy. As coastal KOOS provides high-resolution data covering the territorial sea of the Korean Peninsula, it has become an invaluable decision-making tool. It assists in proactive responses to various marine disasters such as search and rescue, oil spills, storm surges, low-saline water fronts, and cold water upwellings. The success and utility of coastal-KOOS have garnered interest and demand from national agencies and industries. This has led to technology transfers to meet their specific needs. Furthermore, to enhance forecasting accuracy, especially around small islands with complex coastlines and narrow channels, a triangular unstructured grid ocean forecasting system has been developed. There is also ongoing work on a hybrid model that leverages artificial intelligence techniques for enhanced forecasting precision. To efficiently deliver all KOOS products while catering to end-user needs, the KOOS-GIS visualization system was established. Although it's currently operated in-house, KOOS-GIS is multifunctional. It displays real-time forecast and observation data and enables users to compare and validate forecasting accuracy. Additionally, it aids fieldwork with tools like a particle tracking module for search and rescue and storm surge predictions during typhoons. In summary, KOOS has made significant strides, notably establishing a high-resolution forecasting system for the Korean Peninsula and serving as a diverse decision-support tool. -
dc.description.uri 1 -
dc.language English -
dc.publisher OceanPredict -
dc.relation.isPartOf 8th Annual meeting of the OceanPredict Science Team -
dc.title The avievement of KOOS in national agencies and industries -
dc.type Conference -
dc.citation.conferenceDate 2023-11-06 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace Hotel Grab the Ocean, Songdo -
dc.citation.endPage 10 -
dc.citation.startPage 10 -
dc.citation.title 8th Annual meeting of the OceanPredict Science Team -
dc.contributor.alternativeName 김남훈 -
dc.contributor.alternativeName 권재일 -
dc.contributor.alternativeName 최진용 -
dc.contributor.alternativeName 허기영 -
dc.contributor.alternativeName 최정운 -
dc.contributor.alternativeName 정상훈 -
dc.contributor.alternativeName 권영연 -
dc.contributor.alternativeName 김호진 -
dc.contributor.alternativeName 김덕수 -
dc.contributor.alternativeName 구본호 -
dc.contributor.alternativeName 박숭환 -
dc.contributor.alternativeName 전재윤 -
dc.identifier.bibliographicCitation 8th Annual meeting of the OceanPredict Science Team, pp.10 -
dc.description.journalClass 1 -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 2. Conference Papers
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