English

Numerical study of experimentally inspired stratified turbulence forced by waves

Fluid Dynamics 2022-10-07 v1

Abstract

Stratified flows forced by internal waves similar to those obtained in the Coriolis platform (LEGI, Grenoble, France) \cite{Savaro2020} are studied by pseudospectral triply-periodic simulations. The experimental forcing mechanism consisting in large oscillating vertical panels is mimicked by a penalization method. The analysis of temporal and spatiotemporal spectra reveals that the flow for the strongest forcing in the experiments is composed of two superposed large and quasi-steady horizontal vortices, of internal waves in box modes and of much weaker waves outside the modes. Spatial spectra and spectral energy budget confirm that the flow is in an intermediate regime for very small horizontal Froude number FhF_h and buoyancy Reynolds number RR close to unity. Since the forcing frequency ωf\omega_f is just slightly smaller than the Brunt-V\"ais\"al\"a frequency NN, there are energy transfers towards slower waves and large vortices, which correspond to an upscale energy flux over the horizontal. Two other experimentally feasible sets of parameters are investigated. A larger amplitude forcing shows that it would indeed be possible to produce in huge apparatus like the Coriolis platform stratified turbulence forced by waves for small FhF_h and buoyancy Reynolds number RR of order 10. Forcing slower waves for ωf=0.40N\omega_f = 0.40 N leaves space between ωf\omega_f and NN for "down-time-scale" transfers through weakly nonlinear interactions with temporal spectra consistent with ω2\omega^{-2} slope. However, for this set of parameters, the large scales of the flow are strongly dissipative and there is no downscale energy cascade.

Keywords

Cite

@article{arxiv.2210.02855,
  title  = {Numerical study of experimentally inspired stratified turbulence forced by waves},
  author = {Jason Reneuve and Clément Savaro and Géraldine Davis and Costanza Rodda and Nicolas Mordant and Pierre Augier},
  journal= {arXiv preprint arXiv:2210.02855},
  year   = {2022}
}