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 | - |