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dc.contributor.author
Polavarapu, Saroja
dc.contributor.author
Pulido, Manuel Arturo
dc.contributor.other
Park, Seon Ki
dc.contributor.other
Xu, Liang
dc.date.available
2020-02-21T17:47:48Z
dc.date.issued
2016
dc.identifier.citation
Polavarapu, Saroja; Pulido, Manuel Arturo; Stratospheric and mesospheric data assimilation: the role of middle atmospheric dynamics; Springer; III; 2016; 429-454
dc.identifier.isbn
978-3-319-43414-8
dc.identifier.uri
http://hdl.handle.net/11336/98278
dc.description.abstract
The middle atmosphere refers to the stratosphere and mesosphere and features dynamics and circulationsthat are fundamentally different from those of the troposphere. The large-scale meridional circulations inthe middle atmosphere operate on seasonal and longer time scales and are largely forced by the breakingof upward propagating waves. The winter stratosphere is dominated by large-scale waves and a polarvortex which confines constituents and which is sometimes punctuated by stratospheric sudden warmings.In contrast, the summer stratosphere is quiescent. Meanwhile, the meridional circulation in themesosphere is mainly driven by the breaking of a broad spectrum of gravity waves that have propagatedupward from the troposphere. These facets of middle atmosphere dynamics have implications for, andpose unique challenges to, data assimilation systems whose models encompass this region of theatmosphere. In this work, we provide an overview of middle atmosphere data assimilation in the contextof the dynamics of this region. The purpose is to demonstrate how the dynamics can be used to explainthe behavior of data assimilation systems in the middle atmosphere, and also to identify challenges inassimilating measurements from this region of the atmosphere. There are two overarching themes.Firstly, we consider the vertical propagation of information through waves, resolved and parameterized,and background error covariances. Secondly, we delve into the dynamical sources of model errors andtechniques for their estimation.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nd/2.5/ar/
dc.subject
DATA ASSIMILATION
dc.subject
STRATOSPHERIC ASSIMILATION
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REMOTE SENSING
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DYNAMICS
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
Stratospheric and mesospheric data assimilation: the role of middle atmospheric dynamics
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-02-19T19:39:50Z
dc.journal.volume
III
dc.journal.pagination
429-454
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Polavarapu, Saroja. Environment and Climate Change Canada; Canadá
dc.description.fil
Fil: Pulido, Manuel Arturo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Física; Argentina. 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 Tecnológica; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-319-43415-5_19
dc.conicet.paginas
620
dc.source.titulo
Data assimilation for atmospheric, oceanic and hydrologic applications
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