Skip to main content
Log in

Model of Vertical Mixing Induced by Wind Waves

  • Published:
Fluid Dynamics Aims and scope Submit manuscript

Abstract—Formulas for the vertical wind-wave-induced mixing coefficient are obtained. For this purpose, in the Navier–Stokes equations the flow velocity is decomposed into four components, namely, mean flow, wave orbital motion, wave-induced turbulent flow fluctuations, and background turbulent fluctuations. Such a decomposition makes it possible to distinguish the wave stress Rew in the Reynolds equations as an addition to the background stress Reb. For the background turbulent fluctuations the Prandtl approximation is used for closure of Rew. This leads to an implicit expression for the wave-induced vertical mixing function \({{B}_{v}}\). The finite expression for \({{B}_{v}}\) is determined using author’s results for the turbulent viscosity in the wave zone found earlier within the framework of the three-layer conception for the air-water interface. The explicit expression for the function \({{B}_{v}}(a,{{u}_{*}},z)\) is linear with respect to the wave amplitude a(z) at the depth z and the friction velocity u* in air. Since the wave amplitude decreases exponentially as a function of the depth, this result for \({{B}_{v}}(a)\) means the possibility of strengthening the wave impact on vertical mixing as compared with the well-known cubic dependence of \({{B}_{v}}(a)\).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.

Similar content being viewed by others

REFERENCES

  1. Kitaigorodskii, S.A. and Lumley, J.L., Wave-turbulence interaction in the upper ocean. Pt. I. The energy balance in the interacting fields of surface waves and wind-induced three-dimensional turbulence, J. Phys. Oceanogr., 1983, vol. 13, pp. 1977–1987.

    Article  ADS  Google Scholar 

  2. Kantha, L.H. and Clayson, C.A., An improved mixed layer model for geophysical applications, J. Geophys. Res., 1994, vol. 99, pp. 25 235–25 266.

  3. Ezer, T., On the seasonal mixed layer simulated by a basin-scale ocean model and the Mellor–Yamada turbulence scheme, J. Geophys. Res., 2000, vol. 105, pp. 16843–16855.

    Article  ADS  Google Scholar 

  4. Mellor, G.L. and Yamada, T., Development of a turbulence closure model for geophysical fluid problems, Rev. Geophys. Space Phys., 1982, vol. 20, pp. 851–875.

    Article  ADS  Google Scholar 

  5. Qiao, F., Yuan, Y., Yang, Y., Zheng, Q., Xia, C., and Ma, J., Wave-induced mixing in the upper ocean: Distribution and application to a global ocean circulation model, Geophys. Res. Lett., 2004, vol. 31, p. L11303. https://doi.org/10.1029/2004GL019824

    Article  ADS  Google Scholar 

  6. Babanin, A.V. and Chalikov, D., Numerical investigation of turbulence generation in non-breaking potential waves, J. Geophys. Res., 2012, vol. 117, p. C00J17. https://doi.org/10.1029/2012JC007929

    Article  ADS  Google Scholar 

  7. Qiao, F., Yuan, Y., Deng, J., Dai, D., and Song, Z., Wave–turbulence interaction-induced vertical mixing and its effects in ocean and climate models, Phil. Trans. R. Soc., 2016, vol. A374, p. 20150201. https://doi.org/10.1098/rsta.2015.0201

    Article  ADS  Google Scholar 

  8. Aijaz, S., Ghantous, M., Babanin, A.V., Ginis, L., Thomas, B., and Wake, G., Nonbreaking wave-induced mixing in upper ocean during tropical cyclones using coupled hurricane-ocean-wave modeling, J. Geophys. Res. Oceans, 2017, vol. 122, pp. 3939–3963. https://doi.org/10.1002/2016JC012219

    Article  ADS  Google Scholar 

  9. Wals, K., Govekar, P., Babanin, A.V., Ghantous, M., Spence, P., and Scoccimarro, F., The effect on simulated ocean climate of a parameterization of unbroken wave-induced mixing incorporated into the k-epsilon mixing scheme, J. Adv. Model. Earth Syst., 2017, vol. 9, pp. 735–758. https://doi.org/10.1002/2016MS000707

    Article  ADS  Google Scholar 

  10. Monin, A.C. and Yaglom, A.Ya., Statisticheskaya gidromekhanika (Statistical Hydrodynamics), Vol. 2, Moscow: Nauka, 1967.

    Google Scholar 

  11. Anis, A. and Moum, J.N., Surface wave–turbulence interactions: Scaling ε(z) near the sea surface, J. Phys. Oceanogr., 1995, vol. 25, pp. 2025–2045.

    Article  ADS  Google Scholar 

  12. Ardhuin, F. and Jenkins, A.D., On the interaction of surface waves and upper ocean turbulence, J. Phys. Oceanogr., 2006, vol. 36, pp. 551–557. https://doi.org/10.1175/JPO2862.1

    Article  ADS  Google Scholar 

  13. Janssen, P.E.A.M., Ocean wave effects on the daily cycle in SST, J. Geophys. Res. 2012, vol. 117, p. C00J32. https://doi.org/10.1029/2012JC007943

    Article  ADS  Google Scholar 

  14. Craig, P.D. and Banner, M.L., Modelling wave enhanced turbulence in the ocean surface layer, J. Phys. Oceanogr., 1994, vol. 24, pp. 2547–2559.

    Article  ADS  Google Scholar 

  15. Babanin, A.V., On a wave-induced turbulence and a wave-mixed upper ocean layer, Geophys. Res. Lett. 2006, vol. 33, p. L20605. https://doi.org/10.1029/2006GL027308

    Article  ADS  Google Scholar 

  16. Babanin, A.V. and Haus, B.K., On the existence of water turbulence induced by non-breaking surface waves, J. Phys. Oceanogr., 2009, vol. 39, pp. 2675–2679. https://doi.org/10.1175/2009JPO4202.1

    Article  ADS  Google Scholar 

  17. Gemmrich, J.R. and Farmer, D.M., Near-surface turbulence in the presence of breaking waves, J. Phys. Oceanogr., 2004, vol. 34, pp. 1067–1086.

    Article  ADS  MathSciNet  Google Scholar 

  18. Gemmrich, J.R., Strong turbulence in the wave crest region, J. Phys. Oceanogr., 2010, vol. 40, pp. 583–595. https://doi.org/10.1175/2009JPO4179.1

    Article  ADS  Google Scholar 

  19. Dai, D., Qiao, F., Sulisz, W., Han, L., and Babanin, A., An experiment on the nonbreaking surface-wave-induced vertical mixing, J. Phys. Oceanogr., 2010, vol. 40, pp. 2180–2188.

    Article  ADS  Google Scholar 

  20. Pleskachevsky, A., Dobrynin, M., Babanin, A.V., Günther, H., and Stanev, E., Turbulent mixing due to surface waves indicated by remote sensing of suspended particulate matter and its implementation into coupled modeling of waves, turbulence and circulation, J. Phys. Oceanogr., 2011, vol. 41, pp. 708–724.

    Article  ADS  Google Scholar 

  21. Sutherland, P. and Melville, W.K., Field measurements of surface and near-surface turbulence in the presence of breaking waves, J. Phys. Oceanogr., 2015, vol. 45, pp. 943–965. https://doi.org/10.1175/JPO-D-14-0133.1

    Article  ADS  Google Scholar 

  22. Benilov, A.Y., On the turbulence generated by the potential surface waves, J. Geophys. Res., 2012, vol. 117, p. C00J30. https://doi.org/10.1029/2012JC007948

    Article  ADS  Google Scholar 

  23. Qiao, F., Yuan, Y., Ezer, T., Xia, C., Yang, Y., Lü, X., and Song, Z., A three-dimensional surface wave-ocean circulation coupled model and its initial testing, Ocean Dynamics, 2010, vol. 60, pp. 1339–1355.

    Article  ADS  Google Scholar 

  24. Huang, C.J., Qiao, F., Dai, D., Ma, H., and Guo, J., Field measurement of upper ocean turbulence dissipation associated with wave-turbulence interaction in the South China Sea, J. Geophys. Res., 2012, vol. 17, p. C00J09. https://doi.org/10.1029/2011JC00780

    Article  Google Scholar 

  25. Yuan, Y., Qiao, F., Yin, X., and Han, L., Analytical estimation of mixing coefficient induced by surface wave-generated turbulence based on the equilibrium solution of the second-order turbulence closure model, Science China: Earth Sciences, 2013, vol. 56. pp. 71–80. https://doi.org/10.1007/s11430-012-4517-x

    Article  Google Scholar 

  26. Polnikov, V.G., A semi-phenomenological model for wind-induced drift currents, Boundary-Layer Meteorol., 2019, vol. 172(3), pp. 417–433. https://doi.org/10.1007/s10546-019-00456-1

    Article  ADS  Google Scholar 

  27. Polnikov, V.G., Features of air flow in the trough-crest zone of wind waves (2010). https://arxiv.org/abs/1006.3621.

  28. Longo, S., Chiapponi, L., Clavero, M., Mäkel, T., and Liang, D., The study of the turbulence over the air-side and the water-induced boundary waves, Coastal Engineering, 2012, vol. 69, pp. 67–81.

    Article  Google Scholar 

  29. Chalikov, D. and Rainchik, S., Coupled numerical modelling of wind and waves and theory of the wave boundary layer, Boundary-Layer Meteorol., 2011, vol. 138, pp. 1–41. https://doi.org/10.1007/s10546-010-9543-7

    Article  ADS  Google Scholar 

  30. Skote, M. and Henningson, D.S., Direct numerical simulation of a separated turbulent boundary layer, J. Fluid Mech., 2002, vol. 471, no. 1, pp. 107–136.

    Article  ADS  Google Scholar 

  31. Jones, N.L. and Monismith, S.G., The influence of whitecapping waves on the vertical structure of turbulence in a shallow estuarine embayment, J. Phys. Oceanogr., 2008, vol. 38, pp. 1563–1580. https://doi.org/10.1175/2007JPO3766.1

    Article  ADS  Google Scholar 

  32. Komen, G.I., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., and Janssen P.A.E.M., Dynamics and Modelling of Ocean Waves, Cambridge: Cambridge University Press, 1994.

    Book  Google Scholar 

Download references

ACKNOWLEDGMENTS

The author wishes to thank China scientists, Profs. N. Huang and D. Dai, for their useful comments and advices during preliminary discussion of the problem considered.

Funding

The work was supported by the Russian Foundation for Basic Research, project no. 18-05-00161.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. G. Polnikov.

Additional information

Translated by E. A. Pushkar

EXPLANATION OF FORMULA (1.18)

EXPLANATION OF FORMULA (1.18)

Formula (1.18) is constructed on the basis of three theoretical and experimental facts [26, 28]:

1) on the water surface the wind drift velocity is of the order of \(0.5{{u}_{*}}\);

2) in the wave zone the drift velocity profile is linear with respect to z;

3) the thickness of the wave zone is of the order of 3а0, where а0 is the mean wave height [27, 28] (see explanation to Fig. 1).

Under the assumption that in the wave zone the flow velocity varies from Ud0 (on the boundary with the driving atmosphere layer) to the friction velocity in water \({{u}_{{*w}}} \approx {{(ro)}^{{1/2}}}{{u}_{*}} \approx 0.03{{u}_{*}} \ll {{U}_{{d0}}}\) (on the boundary with the upper water layer), in the wave zone we can write the balance equation for the flux of momentum of the form:

$${{\tau }_{w}}{\text{/}}{{\rho }_{w}} = {{K}_{{\text{t}}}}_{{\text{w}}}\frac{{\partial {{U}_{d}}(z)}}{{\partial z}} \approx {{K}_{{\text{t}}}}_{{\text{w}}}({{U}_{{d0}}}{\text{/}}3{{a}_{0}}).$$
(A1)

Here,

$${{\tau }_{w}}{\text{/}}{{\rho }_{w}} \approx ro\,u_{*}^{2} = u_{{*w}}^{2}$$
(A2)

is the vertical flux of momentum in water divided by the water density; \(ro = ({{\rho }_{a}}{\text{/}}{{\rho }_{w}}) \approx {{10}^{{ - 3}}}\) is the ratio of the air and water densities; \({{u}_{{*w}}}\) is the friction velocity in water; and \({{K}_{{\text{t}}}}_{{\text{w}}}\) is the unknown turbulent mixing (or viscosity) coefficient in the wave zone. On the right-hand side of (A1) the flow velocity gradient is determined by the drift velocity gradient in the wave zone. In accordance with the above, the latter is of the order \(\partial {{U}_{d}}{\text{/}}\partial z \approx {{U}_{{d0}}}{\text{/}}3a\) since on the lower boundary of the wave zone the drift velocity is of the order of the friction velocity in water \({{u}_{{*w}}}\), i.e., much less than Ud0 ≈ 0.5\({{u}_{*}}\).

Substituting expression (A2) and Ud0 in Eq. (A1), we obtain the expression for the turbulent viscosity coefficient \({{K}_{{\text{t}}}}_{{\text{w}}}\) of the form (1.18).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Polnikov, V.G. Model of Vertical Mixing Induced by Wind Waves. Fluid Dyn 55, 20–30 (2020). https://doi.org/10.1134/S0015462820010103

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0015462820010103

Key words:

Navigation