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dc.contributor.author
Pulido, Manuel Arturo  
dc.contributor.author
Thuburn, John  
dc.date.available
2017-05-24T20:10:26Z  
dc.date.issued
2006-07  
dc.identifier.citation
Pulido, 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.identifier.issn
0035-9009  
dc.identifier.uri
http://hdl.handle.net/11336/16931  
dc.description.abstract
An 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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Adjoint Model  
dc.subject
Middle Atmosphere  
dc.subject
Parameter Estimation  
dc.subject
Twin Experiments  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-05-17T13:47:13Z  
dc.identifier.eissn
1477-870X  
dc.journal.volume
132  
dc.journal.number
618  
dc.journal.pagination
1527-1543  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Berkshire  
dc.description.fil
Fil: 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.description.fil
Fil: Thuburn, John. University Of Reading; Reino Unido  
dc.journal.title
Quarterly Journal Of The Royal Meteorological Society  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1256/qj.05.43/abstract  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1256/qj.05.43