{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363388845753754624.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1029/2001jc000787"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2001JC000787"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2001JC000787"}}],"dc:title":[{"@value":"A 6 year record of baroclinic transport variability of the Antarctic Circumpolar Current at 140°E derived from expendable bathythermograph and altimeter measurements"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Repeat hydrographic sections across the Antarctic Circumpolar Current are used to derive an empirical relationship between upper ocean temperature and the baroclinic transport stream function. Cross validation shows this relationship can be used to infer baroclinic transport (above and relative to 2500 dbar) from temperature measurements with an error of a few per cent. The mean transport distribution derived from 31 austral summer expendable bathythermograph (XBT) sections over a 6 year period consists of westward flow immediately south of Tasmania, a broad band of strong eastward flow between 50° and 55°S, and three cores of eastward flow south of 55°S. By defining a second empirical relationship between surface dynamic height and cumulative transport a continuous time series of baroclinic transport is derived from altimeter measurements of sea surface height. Transports derived from altimetry in this way agree well with simultaneous in situ estimates (root mean square error in net transport is 4 × 10<jats:sup>6</jats:sup> m<jats:sup>3</jats:sup> s<jats:sup>−1</jats:sup>), suggesting sea level anomalies largely reflect baroclinic changes above 2500 dbar. The 10 day sampling of the altimeter transport time series shows the irregular XBT sampling aliases variability at unresolved timescales. The standard deviation of net transport above and relative to 2500 m is 4.3 × 10<jats:sup>6</jats:sup> m<jats:sup>3</jats:sup> s<jats:sup>−1</jats:sup>. The variability in net transport is largest (2.7 × 10<jats:sup>6</jats:sup> m<jats:sup>3</jats:sup> s<jats:sup>−1</jats:sup>) in the quasi‐annual band (periods of 4 months to 1.5 years), slightly smaller (2.3 × 10<jats:sup>6</jats:sup> m<jats:sup>3</jats:sup> s<jats:sup>−1</jats:sup>) in the mesoscale band (<4 months), and smallest in the interannual band (>1.5 years, 1.5 × 10<jats:sup>6</jats:sup> m<jats:sup>3</jats:sup> s<jats:sup>−1</jats:sup>). Changes in transport are correlated with local changes in both wind stress and wind stress curl in the quasi‐annual and interannual bands, but the transport time series is too short to draw significant conclusions.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383388845753754624","@type":"Researcher","foaf:name":[{"@value":"Stephen R. Rintoul"}],"jpcoar:affiliationName":[{"@value":"Antarctic Cooperative Research Centre and CSIRO Marine Research  Hobart Tasmania Australia"}]},{"@id":"https://cir.nii.ac.jp/crid/1380298342686535041","@type":"Researcher","foaf:name":[{"@value":"Serguei Sokolov"}],"jpcoar:affiliationName":[{"@value":"Antarctic Cooperative Research Centre and CSIRO Marine Research  Hobart Tasmania Australia"}]},{"@id":"https://cir.nii.ac.jp/crid/1380298342686535040","@type":"Researcher","foaf:name":[{"@value":"John Church"}],"jpcoar:affiliationName":[{"@value":"Antarctic Cooperative Research Centre and CSIRO Marine Research  Hobart Tasmania Australia"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"01480227"}],"prism:publicationName":[{"@value":"Journal of Geophysical Research: Oceans"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2002-10","prism:volume":"107","prism:number":"C10"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2001JC000787"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2001JC000787"}],"createdAt":"2002-11-29","modifiedAt":"2023-10-17","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360567181257847936","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Dichothermal layer deepening in relation with halocline depth change associated with northward shrinkage of North Pacific western subarctic gyre in early 2000s"}]},{"@id":"https://cir.nii.ac.jp/crid/2050870367089652480","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Spatiotemporal vertical velocity variation in the western tropical Pacific and its relation to decadal ocean variability"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1029/2001jc000787"},{"@type":"CROSSREF","@value":"10.1186/s40645-022-00513-3_references_DOI_Y8DpUomNuc6X4ywwgJk3LyHjK8E"},{"@type":"CROSSREF","@value":"10.1007/s10236-015-0917-8_references_DOI_Y8DpUomNuc6X4ywwgJk3LyHjK8E"}]}