Data-driven derivation of the turbulent energy cascade generator

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dc.creatorCleve, J.
dc.creatorDziekan, T.
dc.creatorSchmiegel, J.
dc.creatorBarndorff-Nielsen, O. E.
dc.creatorPearson, B. R.
dc.creatorSreenivasan, K. R.
dc.creatorGreiner, M.
dc.date2003-12-18
dc.date.accessioned2026-07-07T05:50:45Z
dc.date.available2026-07-07T05:50:45Z
dc.descriptionWithin the framework of random multiplicative energy cascade models of fully developed turbulence, expressions for two-point correlators and cumulants are derived, taking into account a proper conversion from an ultrametric to an Euclidean two-point distance. The comparison with two-point statistics of the surrogate energy dissipation, extracted from various wind tunnel and atmospheric boundary layer records, allows an accurate deduction of multiscaling exponents and cumulants. These exponents serve as the input for parametric estimates of the probabilistic cascade generator.
dc.description15 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/physics/0312113
dc.identifierhttp://arxiv.org/abs/physics/0312113
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85811
dc.subjectFluid Dynamics
dc.subjectCondensed Matter
dc.titleData-driven derivation of the turbulent energy cascade generator
dc.typetext

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