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Simulating turbulent mixing caused by local instability of internal gravity waves

Published online by Cambridge University Press:  19 March 2021

Yohei Onuki*
Affiliation:
Research Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka 816-8580, Japan
Sylvain Joubaud
Affiliation:
Univ Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342Lyon, France Institut Universitaire de France (IUF), France
Thierry Dauxois
Affiliation:
Univ Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342Lyon, France
*
Email address for correspondence: onuki@riam.kyushu-u.ac.jp

Abstract

With the aim of assessing internal wave-driven mixing in the ocean, we develop a new technique for direct numerical simulations of stratified turbulence. Since the spatial scale of oceanic internal gravity waves is typically much larger than that of turbulence, fully incorporating both in a model would require a high computational cost, and is therefore out of our scope. Alternatively, we cut out a small domain periodically distorted by an unresolved large-scale internal wave and locally simulate the energy cascade to the smallest scales. In this model, even though the Froude number of the outer wave, $Fr$, is small such that density overturn or shear instability does not occur, a striped pattern of disturbance is exponentially amplified through a parametric subharmonic instability. When the disturbance amplitude grows sufficiently large, secondary instabilities arise and produce much smaller-scale fluctuations. Passing through these two stages, wave energy is transferred into turbulence energy and will be eventually dissipated. Different from the conventional scenarios of vertical shear-induced instabilities, a large part of turbulent potential energy is supplied from the outer wave and directly used for mixing. The mixing coefficient $\varGamma =\epsilon _P/\epsilon$, where $\epsilon$ is the dissipation rate of kinetic energy and $\epsilon _P$ is that of available potential energy, is always greater than 0.5 and tends to increase with $Fr$. Although our results are mostly consistent with the recently proposed scaling relationship between $\varGamma$ and the turbulent Froude number, $Fr_t$, the values of $\varGamma$ obtained here are larger by a factor of about two than previously reported.

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

REFERENCES

Achatz, U. 2007 Gravity-wave breaking: linear and primary nonlinear dynamics. Adv. Space Res. 40 (6), 719733.CrossRefGoogle Scholar
Bouruet-Aubertot, P., Koudella, C., Staquet, C. & Winters, K.B. 2001 Particle dispersion and mixing induced by breaking internal gravity waves. Dyn. Atmos. Oceans 33 (2), 95134.CrossRefGoogle Scholar
de Bruyn Kops, S.M. & Riley, J.J. 1998 Direct numerical simulation of laboratory experiments in isotropic turbulence. Phys. Fluids 10 (9), 21252127.CrossRefGoogle Scholar
Caulfield, C.P. 2021 Layering, instabilities, and mixing in turbulent stratified flows. Annu. Rev. Fluid Mech. 53 (1), 113145.CrossRefGoogle Scholar
Chung, D. & Matheou, G. 2012 Direct numerical simulation of stationary homogeneous stratified sheared turbulence. J. Fluid Mech. 696, 434467.CrossRefGoogle Scholar
Dauxois, T., et al. 2021 Confronting grand challenges in environmental fluid dynamics. Phys. Rev. Fluids 6, 020501.CrossRefGoogle Scholar
Davies Wykes, M.S. & Dalziel, S.B. 2014 Efficient mixing in stratified flows: experimental study of a Rayleigh–Taylor unstable interface within an otherwise stable stratification. J. Fluid Mech. 756, 10271057.CrossRefGoogle Scholar
Fritts, D.C., Vadas, S.L., Wan, K. & Werne, J.A. 2006 Mean and variable forcing of the middle atmosphere by gravity waves. J. Atmos. Sol.-Terr. Phys. 68 (3), 247265.CrossRefGoogle Scholar
Fritts, D.C., Wang, L., Geller, M.A., Lawrence, D.A., Werne, J. & Balsley, B.B. 2016 Numerical modeling of multiscale dynamics at a high Reynolds number: instabilities, turbulence, and an assessment of Ozmidov and Thorpe scales. J. Atmos. Sci. 73 (2), 555578.CrossRefGoogle Scholar
Fritts, D.C., Wang, L. & Werne, J. 2009 a Gravity wave-fine structure interactions: a reservoir of small-scale and large-scale turbulence energy. Geophys. Res. Lett. 36 (19), L19805.CrossRefGoogle Scholar
Fritts, D.C., Wang, L., Werne, J., Lund, T. & Wan, K. 2009 b Gravity wave instability dynamics at high Reynolds numbers. Part I: wave field evolution at large amplitudes and high frequencies. J. Atmos. Sci. 66 (5), 11261148.CrossRefGoogle Scholar
Fritts, D.C., Wang, L., Werne, J., Lund, T. & Wan, K. 2009 c Gravity wave instability dynamics at high Reynolds numbers. Part II: turbulence evolution, structure, and anisotropy. J. Atmos. Sci. 66 (5), 11491171.CrossRefGoogle Scholar
Garanaik, A. & Venayagamoorthy, S.K. 2019 On the inference of the state of turbulence and mixing efficiency in stably stratified flows. J. Fluid Mech. 867, 323333.CrossRefGoogle Scholar
Ghaemsaidi, S.J. & Mathur, M. 2019 Three-dimensional small-scale instabilities of plane internal gravity waves. J. Fluid Mech. 863, 702729.CrossRefGoogle Scholar
Gregg, M.C., D'Asaro, E.A., Riley, J.J. & Kunze, E. 2018 Mixing efficiency in the ocean. Annu. Rev. Mar. Sci. 10 (1), 443473.CrossRefGoogle ScholarPubMed
Hibiya, T. & Nagasawa, M. 2004 Latitudinal dependence of diapycnal diffusivity in the thermocline estimated using a finescale parameterization. Geophys. Res. Lett. 31 (1), L01301.CrossRefGoogle Scholar
Howland, C.J., Taylor, J.R. & Caulfield, C.P. 2020 Mixing in forced stratified turbulence and its dependence on large-scale forcing. J. Fluid Mech. 898, A7.CrossRefGoogle Scholar
Ijichi, T. & Hibiya, T. 2018 Observed variations in turbulent mixing efficiency in the deep ocean. J. Phys. Oceanogr. 48 (8), 18151830.CrossRefGoogle Scholar
Ijichi, T., St. Laurent, L., Polzin, K.L. & Toole, J.M. 2020 How variable is mixing efficiency in the abyss? Geophys. Res. Lett. 47 (7), e2019GL086813.CrossRefGoogle Scholar
Inoue, R. & Smyth, W.D. 2009 Efficiency of mixing forced by unsteady shear flow. J. Phys. Oceanogr. 39 (5), 11501166.CrossRefGoogle Scholar
Koudella, C.R. & Staquet, C. 2006 Instability mechanisms of a two-dimensional progressive internal gravity wave. J. Fluid Mech. 548 (10), 165196.CrossRefGoogle Scholar
Lombard, P.N. & Riley, J.J. 1996 On the breakdown into turbulence of propagating internal waves. Dyn. Atmos. Oceans 23 (1), 345355.CrossRefGoogle Scholar
MacKinnon, J.A., et al. 2017 Climate process team on internal wave-driven ocean mixing. Bull. Am. Meteorol. Soc. 98 (11), 24292454.CrossRefGoogle Scholar
Maffioli, A., Brethouwer, G. & Lindborg, E. 2016 Mixing efficiency in stratified turbulence. J. Fluid Mech. 794, R3.CrossRefGoogle Scholar
Munk, W. & Wunsch, C. 1998 Abyssal recipes II: energetics of tidal and wind mixing. Deep-Sea Res. (I) 45 (12), 19772010.CrossRefGoogle Scholar
Osborn, T.R. 1980 Estimates of the local rate of vertical diffusion from dissipation measurements. J. Phys. Oceanogr. 10 (1), 8389.2.0.CO;2>CrossRefGoogle Scholar
Polzin, K.L. & Lvov, Y.V. 2011 Toward regional characterizations of the oceanic internal wavefield. Rev. Geophys. 49 (4), RG4003.CrossRefGoogle Scholar
Portwood, G. 2019 A study on homogeneous sheared stably stratified turbulence. PhD thesis, University of Massachusetts Amherst.Google Scholar
Rogallo, R.S. 1981 Numerical experiments in homogeneous turbulence. NASA Tech. Rep. 81315. National Aeronautics and Space Administration.Google Scholar
Salehipour, H., Caulfield, C.P. & Peltier, W.R. 2016 Turbulent mixing due to the Holmboe wave instability at high Reynolds number. J. Fluid Mech. 803, 591621.CrossRefGoogle Scholar
Smyth, W.D., Moum, J.N. & Caldwell, D.R. 2001 The efficiency of mixing in turbulent patches: inferences from direct simulations and microstructure observations. J. Phys. Oceanogr. 31 (8), 19691992.2.0.CO;2>CrossRefGoogle Scholar
Sonmor, L.J. & Klaassen, G.P. 1997 Toward a unified theory of gravity wave stability. J. Atmos. Sci. 54 (22), 26552680.2.0.CO;2>CrossRefGoogle Scholar
Spalart, P.R., Moser, R.D. & Rogers, M.M. 1991 Spectral methods for the Navier–Stokes equations with one infinite and two periodic directions. J. Comput. Phys. 96 (2), 297324.CrossRefGoogle Scholar
Thorpe, S.A. 2005 The Turbulent Ocean. Cambridge University Press.CrossRefGoogle Scholar

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Buoyancy perturbation on the model domain surface.

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