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On low-frequency variability of the midlatitude ocean gyres

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On low-frequency variability of the midlatitude ocean gyres

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dc.contributor.author Shevchenko, I. V. es_ES
dc.contributor.author Berloff, P. S. es_ES
dc.contributor.author Guerrero López, David es_ES
dc.contributor.author Román Moltó, José Enrique es_ES
dc.date.accessioned 2017-03-27T12:02:35Z
dc.date.available 2017-03-27T12:02:35Z
dc.date.issued 2016-05
dc.identifier.issn 0022-1120
dc.identifier.uri http://hdl.handle.net/10251/79111
dc.description.abstract This paper studies the large-scale low-frequency variability of the wind-driven midlatitude ocean gyres and their western boundary currents, such as the Gulf Stream or Kuroshio, simulated with the eddy-resolving quasi-geostrophic model. We applied empirical orthogonal functions analysis to turbulent flow solutions and statistically extracted robust and significant large-scale decadal variability modes concentrated around the eastward jet extension of the western boundary currents. In order to interpret these statistical modes dynamically, we linearized the governing quasi-geostrophic equations around the time-mean circulation and solved for the corresponding full set of linear eigenmodes with their eigenfrequencies. We then projected the extracted decadal variability on the eigenmodes and found that this variability is a multimodal coherent pattern phenomenon rather than a single mode or a combination of several modes as in the flow regimes preceding developed turbulence. es_ES
dc.description.sponsorship The first two authors are thankful to the Natural Environment Research Council for the support of this work through the grant NE/J006602/1 and the use of ARCHER (the UK National Supercomputing Service). We express our gratitude to S. Burbidge and M. Harvey for their help with Imperial College London cluster, as well as to A. Thomas for his help with managing and maintaining the data storage. The last two authors were supported by the Spanish Ministry of Economy and Competitiveness under grant TIN2013-41049-P, and this support is gratefully acknowledged. We would also like to thank unknown referees for valuable comments and suggestions, which helped us to improve the paper. en_EN
dc.language Inglés es_ES
dc.publisher Cambridge University Press (CUP) es_ES
dc.relation.ispartof Journal of Fluid Mechanics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Geophysical and geological flows es_ES
dc.subject Quasi-geostrophic flows es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title On low-frequency variability of the midlatitude ocean gyres es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1017/jfm.2016.208
dc.relation.projectID info:eu-repo/grantAgreement/UKRI//NE%2FJ006602%2F1/GB/Turbulent Oscillator: Intrinsic Eddy-Driven Decadal Variability of the Ocean/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2013-41049-P/ES/EXTENSION DE LA LIBRERIA SLEPC PARA POLINOMIOS MATRICIALES, FUNCIONES MATRICIALES Y ECUACIONES MATRICIALES EN PLATAFORMAS DE COMPUTACION EMERGENTES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Shevchenko, IV.; Berloff, PS.; Guerrero López, D.; Román Moltó, JE. (2016). On low-frequency variability of the midlatitude ocean gyres. Journal of Fluid Mechanics. 795:423-442. https://doi.org/10.1017/jfm.2016.208 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1017/jfm.2016.208 es_ES
dc.description.upvformatpinicio 423 es_ES
dc.description.upvformatpfin 442 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 795 es_ES
dc.relation.senia 327837 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder UK Research and Innovation es_ES


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