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dc.contributor.authorBurgess, Belle Helen
dc.contributor.authorScott, Richard Kirkness
dc.date.accessioned2019-01-10T00:33:16Z
dc.date.available2019-01-10T00:33:16Z
dc.date.issued2018-09-10
dc.identifier.citationBurgess , B H & Scott , R K 2018 , ' Robustness of vortex populations in the two-dimensional inverse energy cascade ' , Journal of Fluid Mechanics , vol. 850 , pp. 844-874 . https://doi.org/10.1017/jfm.2018.473en
dc.identifier.issn0022-1120
dc.identifier.otherPURE: 248699964
dc.identifier.otherPURE UUID: 7fcbd118-1d78-4a91-8385-2d0ee8b0debe
dc.identifier.otherScopus: 85049893939
dc.identifier.otherORCID: /0000-0001-9297-8003/work/54516624
dc.identifier.otherORCID: /0000-0001-5624-5128/work/55378714
dc.identifier.otherWOS: 000438382100004
dc.identifier.urihttp://hdl.handle.net/10023/16825
dc.descriptionFunding: Leverhulme Early Career Fellowship from the Leverhulme Trust, the Natural Environment Research Council grant NE/M014983/1 (B.H.B.).en
dc.description.abstractWe study how the properties of forcing and dissipation affect the scaling behaviour of the vortex population in the two-dimensional turbulent inverse energy cascade. When the flow is forced at scales intermediate between the domain and dissipation scales, the growth rates of the largest vortex area and the spectral peak length scale are robust to all simulation parameters. For white-in-time forcing the number density distribution of vortex areas follows the scaling theory predictions of Burgess & Scott (J. Fluid Mech., vol. 811, 2017, pp. 742–756) and shows little sensitivity either to the forcing bandwidth or to the nature of the small-scale dissipation: both narrowband and broadband forcing generate nearly identical vortex populations, as do Laplacian diffusion and hyperdiffusion. The greatest differences arise in comparing simulations with correlated forcing to those with white-in-time forcing: in flows with correlated forcing the intermediate range in the vortex number density steepens significantly past the predicted scale-invariant A-1 scaling. We also study the impact of the forcing Reynolds number Rej, a measure of the relative importance of nonlinear terms and dissipation at the forcing scale, on vortex formation and the scaling of the number density. As Rej  decreases, the flow changes from one dominated by intense circular vortices surrounded by filaments to a less structured flow in which vortex formation becomes progressively more suppressed and the filamentary nature of the surrounding vorticity field is lost. However, even at very small Rej, and in the absence of intense coherent vortex formation, regions of anomalously high vorticity merge and grow in area as predicted by the scaling theory, generating a three-part number density similar to that found at higher Rej. At late enough stages the aggregation process results in the formation of long-lived circular vortices, demonstrating a strong tendency to vortex formation, and via a route distinct from the axisymmetrization of forcing extrema seen at higher Rej. Our results establish coherent vortices as a robust feature of the two-dimensional inverse energy cascade, and provide clues as to the dynamical mechanisms shaping their statistics.
dc.language.isoeng
dc.relation.ispartofJournal of Fluid Mechanicsen
dc.rights© 2018, Cambridge University Press. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1017/jfm.2018.473en
dc.subjectTurbulence simulationen
dc.subjectTurbulence theoryen
dc.subjectVortex flowsen
dc.subjectQA Mathematicsen
dc.subjectQC Physicsen
dc.subjectApplied Mathematicsen
dc.subjectStatistical and Nonlinear Physicsen
dc.subjectNDASen
dc.subject.lccQAen
dc.subject.lccQCen
dc.titleRobustness of vortex populations in the two-dimensional inverse energy cascadeen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Applied Mathematicsen
dc.identifier.doihttps://doi.org/10.1017/jfm.2018.473
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-01-10


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