Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.

Autores
Pulido, Manuel Arturo; Thuburn, John
Año de publicación
2006
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
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
Fil: Thuburn, John. University Of Reading; Reino Unido
Materia
Adjoint Model
Middle Atmosphere
Parameter Estimation
Twin Experiments
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/16931
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/16931
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.Pulido, Manuel ArturoThuburn, JohnAdjoint ModelMiddle AtmosphereParameter EstimationTwin Experimentshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1An 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.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 UnidoFil: Thuburn, John. University Of Reading; Reino UnidoWiley2006-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/16931Pulido, 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; 1527-15430035-90091477-870Xenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1256/qj.05.43/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1256/qj.05.43info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:00:22Zoai:ri.conicet.gov.ar:11336/16931instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:00:22.562CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
title Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
spellingShingle Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
Pulido, Manuel Arturo
Adjoint Model
Middle Atmosphere
Parameter Estimation
Twin Experiments
title_short Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
title_full Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
title_fullStr Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
title_full_unstemmed Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
title_sort Gravity wave drag estimation from global analyses using variational data assimilation principles. II: A case study.
dc.creator.none.fl_str_mv Pulido, Manuel Arturo
Thuburn, John
author Pulido, Manuel Arturo
author_facet Pulido, Manuel Arturo
Thuburn, John
author_role author
author2 Thuburn, John
author2_role author
dc.subject.none.fl_str_mv Adjoint Model
Middle Atmosphere
Parameter Estimation
Twin Experiments
topic Adjoint Model
Middle Atmosphere
Parameter Estimation
Twin Experiments
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
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
Fil: Thuburn, John. University Of Reading; Reino Unido
description 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.
publishDate 2006
dc.date.none.fl_str_mv 2006-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/16931
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
0035-9009
1477-870X
url http://hdl.handle.net/11336/16931
identifier_str_mv 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
0035-9009
1477-870X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1256/qj.05.43/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1256/qj.05.43
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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