2012
DOI: 10.1063/1.4768809
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Quantifying effects of hyperviscosity on isotropic turbulence

Abstract: Isotropic hyperviscous turbulence is modelled with a pseudospectral Navier-Stokes model and comparisons are made with regular-viscosity isotropic turbulence. Two proposed means of measuring the (hyperviscous) turbulent Reynolds number are presented and critiqued, leading to a proposal for a hyperviscous turbulent Reynolds number measured as a linear function of L/λ. An analysis of the statistics of velocity and velocity-derivative fields leads to comments on appropriate uses for hyperviscosity in theoretical a… Show more

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Cited by 19 publications
(26 citation statements)
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“…One can estimate that globally the small-scale dissipation is between 20% and 25% of the available energy, thus alleviating the long-standing issue in ocean and climate dynamics concerning the amount of energy dissipation. Performing modeling of such flows may mis-represent small-scale statistics, as shown for example in [32], but recent numerical experiments at moderate resolution using such a technique [33] do find an inverse cascade of energy for Boussinesq flows. The findings presented herein thus might help devise more realistic turbulence closures for the atmosphere and ocean.…”
Section: Discussionmentioning
confidence: 99%
“…One can estimate that globally the small-scale dissipation is between 20% and 25% of the available energy, thus alleviating the long-standing issue in ocean and climate dynamics concerning the amount of energy dissipation. Performing modeling of such flows may mis-represent small-scale statistics, as shown for example in [32], but recent numerical experiments at moderate resolution using such a technique [33] do find an inverse cascade of energy for Boussinesq flows. The findings presented herein thus might help devise more realistic turbulence closures for the atmosphere and ocean.…”
Section: Discussionmentioning
confidence: 99%
“…There is no external forcing and we fix ν 3 = 4 × 10 −15 and b 0 = 20. Note that the use of hyperviscosity might influence the intermittency properties by reducing them when the degree of hyperviscosity increases (Spyksma, Magcalas & Campbell 2012). Our analysis is systematically made at a time when the mean dissipation rate reaches its maximum, which corresponds to t * = 2196τ A with τ A = 1/(3b 0 ) (this value is taken because energy is maximum at k = 3).…”
Section: Numerical Set-upmentioning
confidence: 97%
“…The definition of the m-order hyper-viscous Reynolds number is (Lamorgese, Caughey & Pope 2005;Spyksma et al 2012)…”
Section: Dimensionless Numbersmentioning
confidence: 99%
“…The governing equations are the standard three-dimensional Boussinesq equations with m-order hyper-viscosity/diffusion operators (Winters & D'Asaro 1997;Waite & Bartello 2004). The use of a hyper-viscosity/diffusion approach enabled us to increase the scale separation between the forcing and dissipation length scales, producing a larger inertial subrange in the model while confining the dissipation length scales as close as possible to the grid spacing (Spyksma, Magcalas & Campbell 2012). The use of a cylindrical domain permits the derivation of the linear modal structure of IKWs for a discontinuous two-layer stratification (Csanady 1967).…”
mentioning
confidence: 99%