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Prandtl number effects on extreme mixing events in forced stratified turbulence

ORAL

Abstract

`Strongly' stratified turbulent flows can self-organise into a `layered anisotropic stratified turbulence' (LAST) regime, characterised by staircases of relatively deep and well-mixed density `layers' separated by relatively thin `interfaces' of enhanced density gradient. Understanding their mixing dynamics is important for parameterizing heat transport in the world's oceans. It is challenging to simulate such `LAST' mixing, which is associated with Reynolds numbers Re=U L/ν >> 1 and Froude numbers Fr=(2 π U)/(L N) << 1, (U and L being characteristic velocity and length scales, ν being the kinematic viscosity and N the buoyancy frequency). As a sufficiently large dynamic range (largely) unaffected by stratification and viscosity is still required, the buoyancy Reynolds number Reb=ε/(ν N2) >> 1, where ε is the TKE dissipation rate. This requirement is exacerbated for oceanic flows, as the Prandtl number Pr =ν/κ=O(10) in thermally-stratified water (κ is the thermal diffusivity), thus leading (potentially) to even finer denisty field structure. We report on four fully-resolved direct numerical simulations of stratified turbulence with different Fr=2,0.5 and Pr=1,7, forced so that Re=9216 and Reb =50, with resolutions up to 30240 x 30240 x 3780, investigating how variation of bulk parameters affects mixing properties. We find that as Pr increases, stably stratified interfaces are finer and their contribution to bulk mixing characteristics decreases. Neverthelesss, `extreme' mixing events (with highly elevated and exceptionally `efficient' buoyancy variance destruction rates χ, dominating the total mixing budget) are still preferentially found in strongly stratified interfaces.

Presenters

  • Colm-cille P Caulfield

    IEEF and DAMTP, University of Cambridge, IEEF & DAMTP, Univ of Cambridge, Univ of Cambridge

Authors

  • Nicolaos Petropoulos

    University of Cambridge - DAMTP

  • Miles M Couchman

    Department of Mathematics and Statistics, York University

  • Ali Mashayek

    Department of Earth Sciences, University of Cambridge

  • Stephen M de Bruyn Kops

    Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst

  • Colm-cille P Caulfield

    IEEF and DAMTP, University of Cambridge, IEEF & DAMTP, Univ of Cambridge, Univ of Cambridge