Progress Report on the Development of Voyage Environmental Information System (VEIS) for the Northern Sea Route

DC Field Value Language
dc.contributor.author 양찬수 -
dc.contributor.author 김경옥 -
dc.contributor.author 김선화 -
dc.contributor.author 임학수 -
dc.contributor.author 김철호 -
dc.contributor.author 김민우 -
dc.contributor.author 홍단비 -
dc.date.accessioned 2020-07-15T18:53:41Z -
dc.date.available 2020-07-15T18:53:41Z -
dc.date.created 2020-02-11 -
dc.date.issued 2017-02-20 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/24219 -
dc.description.abstract According to an increment in travelling ships in Arctic sea, the importance of environmental information has come to the fore worldwide. Korea Institute of Ocean Science & Technology (KIOST) has developed the Voyage Environmental Information System (VIES) for Arctic, Busan-Bering Sea, and Arctic-Netherland Sea since 2014. We are producing 3 kinds of satellite-based sea ice information (sea ice concentration, extent, type), and total 19 kinds of short-term (1-week) prediction information (atmosphere, wave, ocean, and sea ice). To produce satellite-based information, AMSR2 Level 2 sea-ice concentration (SIC) data was used after reproduce using the dynamic composite algorithm. The data for atmosphere and wave prediction were processed from NCEP, and the data for ocean and sea ice were processed from Mercator, Metoffice, and Metno. In this work, we introduce mid-term (1-month) prediction for sea ice concentration that is being studied by a statistical method using short-term prediction results and 23 years monthly mean re-analysis data (Topaz). VEIS will be operated in near real time to service sea ice information to a ship and a system for estimation of an optimal route in Arctic sea.n System (VIES) for Arctic, Busan-Bering Sea, and Arctic-Netherland Sea since 2014. We are producing 3 kinds of satellite-based sea ice information (sea ice concentration, extent, type), and total 19 kinds of short-term (1-week) prediction information (atmosphere, wave, ocean, and sea ice). To produce satellite-based information, AMSR2 Level 2 sea-ice concentration (SIC) data was used after reproduce using the dynamic composite algorithm. The data for atmosphere and wave prediction were processed from NCEP, and the data for ocean and sea ice were processed from Mercator, Metoffice, and Metno. In this work, we introduce mid-term (1-month) prediction for sea ice concentration that is being studied by a statistical method using short-term prediction results and 23 years monthly mean re-analysis data (Topaz). VEIS will be operated in near real time to service sea ice information to a ship and a system for estimation of an optimal route in Arctic sea. -
dc.description.uri 1 -
dc.language English -
dc.publisher International -
dc.relation.isPartOf The 32nd International Symposium on Okhotsk Sea & Polar Oceans, 2017 -
dc.title Progress Report on the Development of Voyage Environmental Information System (VEIS) for the Northern Sea Route -
dc.type Conference -
dc.citation.conferencePlace JA -
dc.citation.endPage 3 -
dc.citation.startPage 1 -
dc.citation.title The 32nd International Symposium on Okhotsk Sea & Polar Oceans, 2017 -
dc.contributor.alternativeName 양찬수 -
dc.contributor.alternativeName 김경옥 -
dc.contributor.alternativeName 김선화 -
dc.contributor.alternativeName 임학수 -
dc.contributor.alternativeName 김철호 -
dc.contributor.alternativeName 김민우 -
dc.contributor.alternativeName 홍단비 -
dc.identifier.bibliographicCitation The 32nd International Symposium on Okhotsk Sea & Polar Oceans, 2017, pp.1 - 3 -
dc.description.journalClass 1 -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 2. Conference Papers
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
Marine Resources & Environment Research Division > Marine Environment Research Department > 2. Conference Papers
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