Applying ocean data assimilation and forecast skill test for regional ocean circulation model in East Japan/Sea

DC Field Value Language
dc.contributor.author 김영호 -
dc.contributor.author 박균도 -
dc.contributor.author 정경태 -
dc.date.accessioned 2020-07-16T20:50:49Z -
dc.date.available 2020-07-16T20:50:49Z -
dc.date.created 2020-02-11 -
dc.date.issued 2010-03-17 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/29059 -
dc.description.abstract We applied 3-dimentional variational data assimilation technique (3D-Var) to the MOM3-based regional ocean model in the East/Japan Sea. Reanalyzed 100m temperature field by the 3D-Var fairly well corresponds with the measured one by the PIES (Pressure-gauge-equipped Inverted Echo Sounder) (Kim et al., 2009). Correlation between hindcasted temperature from the initial of reanalysis and measure one is presented as a skill of forecast. Consequently, the forecast skill of the MOM3-based regional ocean model with 3D-Var persists high within 2 months as the correlation is higher than 0.6. -
dc.description.uri 1 -
dc.language English -
dc.publisher KORDI -
dc.relation.isPartOf The 1st Korea-China Joint Workshop -
dc.title Applying ocean data assimilation and forecast skill test for regional ocean circulation model in East Japan/Sea -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 50 -
dc.citation.startPage 47 -
dc.citation.title The 1st Korea-China Joint Workshop -
dc.contributor.alternativeName 김영호 -
dc.contributor.alternativeName 정경태 -
dc.identifier.bibliographicCitation The 1st Korea-China Joint Workshop, pp.47 - 50 -
dc.description.journalClass 1 -
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