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dc.contributor.author Pulido, Manuel Arturo
dc.contributor.author Thuburn, J.
dc.date.available 2017-08-11T22:49:46Z
dc.date.issued 2005-07
dc.identifier.citation Pulido, Manuel Arturo; Thuburn, J.; Gravity wave drag estimation from global analyses using variational data assimilation principles. I: Theory and implementation; Wiley; Quarterly Journal Of The Royal Meteorological Society; 131; 609; 7-2005; 1821-1840
dc.identifier.issn 0035-9009
dc.identifier.uri http://hdl.handle.net/11336/22282
dc.description.abstract A novel technique to estimate gravity wave drag from global-scale analyses is presented. It is based on the principles of four-dimensional variational data assimilation, using a dynamical model of the middle atmosphere and its adjoint. The global analyses are treated as observations. A cost function that measures the mismatch between the model state and observations is defined. The control variables are the components of the three-dimensional gravity wave drag field, so that minimization of the cost function gives the optimal gravity wave drag field. The minimization is performed using a conjugate gradient method, with the adjoint model used to calculate the gradient of the cost function. In this work, we present the theory behind the new technique and evaluate extensively the ability of the technique to estimate the gravity wave drag using so-called twin experiments, in which the ‘observations’ are given by the evolution of the dynamical model with a prescribed gravity wave drag. The results show that the technique can estimate accurately the prescribed gravity wave drag. When the cost function is suitably defined, there is good convergence of the minimization scheme under realistic atmospheric conditions. We also show that the cost function gradient is well approximated taking into account only adiabatic processes. We note some limitations of the technique for estimating gravity wave drag in tropical regions if satellite temperature measurements are the only observational information available.
dc.format application/pdf
dc.language.iso eng
dc.publisher Wiley
dc.rights info:eu-repo/semantics/restrictedAccess
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 Oceanografía, Hidrología, Recursos Hídricos
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. I: Theory and implementation
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2017-08-04T15:40:45Z
dc.identifier.eissn 1477-870X
dc.journal.volume 131
dc.journal.number 609
dc.journal.pagination 1821-1840
dc.journal.pais Estados Unidos
dc.journal.ciudad Hoboken
dc.description.fil Fil: Pulido, Manuel Arturo. University Of Reading; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil Fil: Thuburn, J.. University Of Reading; Reino Unido
dc.journal.title Quarterly Journal Of The Royal Meteorological Society
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1256/qj.04.116
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1256/qj.04.116/abstract


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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)