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dc.creatorPulido, Manuel Arturo-
dc.creatorThuburn, John-
dc.date2017-05-24T20:10:26Z-
dc.date2017-05-24T20:10:26Z-
dc.date2006-07-
dc.date2017-05-17T13:47:13Z-
dc.date.accessioned2019-04-29T15:26:32Z-
dc.date.available2019-04-29T15:26:32Z-
dc.date.issued2006-07-
dc.identifierPulido, Manuel Arturo; Thuburn, John; Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.; Wiley; Quarterly Journal Of The Royal Meteorological Society; 132; 618; 7-2006; 1527-1543-
dc.identifier0035-9009-
dc.identifierhttp://hdl.handle.net/11336/16931-
dc.identifier1477-870X-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/294237-
dc.descriptionAn estimate of the three-dimensional gravity-wave drag field derived from middle-atmosphere analyses is presented. It is obtained using a novel technique based on variational data assimilation principles described in Part I. The assimilation is performed for a one-week period starting on 1 July 2002 using Met Office middle-atmosphere analyses as the observations as well as the initial condition. The rotational component of the gravity-wave drag is robustly estimated by the technique. The zonal-mean drag estimates reach maximum amplitudes of 50 m s−1day−1 at 0.4 hPa near the winter-hemisphere polar jet. In the middle stratosphere, drag estimates are much weaker with zonal-mean peak values of 5 m s−1day−1 and show transient small-scale features not obviously correlated with the local background flow. Vertical variations in the sign and pattern of the estimated drag suggest filtering of the gravity-wave spectrum by the background flow.-
dc.descriptionFil: Pulido, Manuel Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnologica; Argentina. University Of Reading; Reino Unido-
dc.descriptionFil: Thuburn, John. University Of Reading; Reino Unido-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherWiley-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1256/qj.05.43/abstract-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1256/qj.05.43-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectADJOINT MODEL-
dc.subjectMIDDLE ATMOSPHERE-
dc.subjectPARAMETER ESTIMATION-
dc.subjectTWIN EXPERIMENTS-
dc.subjectMeteorología y Ciencias Atmosféricas-
dc.subjectCiencias de la Tierra y relacionadas con el Medio Ambiente-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleGravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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