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Linear processes in unsteady stably stratified turbulence

Published online by Cambridge University Press:  26 April 2006

H. Hanazaki
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Silver Street, Cambridge, CB3 9EW, UK Present address: National Institute for Environmental Studies, Tsukuba, Ibaraki 305, Japan.
J. C. R. Hunt
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Silver Street, Cambridge, CB3 9EW, UK Meteorological Office, London Road, Bracknell, Berkshire, RG12 2SZ, UK

Abstract

Unsteady turbulence in uniformly stratified unsheared flow is analysed using rapid distortion theory (RDT). For inviscid flow with no molecular diffusion the theory shows how the initial conditions, such as the initial turbulent kinetic energy KE0 and potential energy PE0, determine the partition of energy between the potential energy associated with density fluctuation and the kinetic energy associated with each of the velocity components during the subsequent development of the turbulence. One parameter is an exception to this sensitivity to initial conditions, namely the limit at large time of the ratio of potential energy to vertical kinetic energy. In the linear theory, this ratio depends neither on the Reynolds number Re, nor the Prandtl number Pr nor the Froude number Fr. This is consistent with turbulence measurements in the atmosphere, wind tunnel and water tank experiments, and with large-eddy simulations, where similar values of the ratio are found. The RDT results are extended to show the effects of viscosity and diffusion where Re is not very large, explaining the sensitivity of the spectra and the fluxes to the value of the Prandtl number Pr. When Pr is larger than 1, the high-wavenumber components of the three-dimensional spectra induce a vertical flux of temperature (density) that is positive (negative), and therefore ‘countergradient.’ On the other hand, when the thermal diffusivity is stronger and Pr is less than 1, lower-wavenumber components become countergradient sooner since the high-wavenumber components are prevented from becoming countergradient. When all the wavenumber components are integrated to derive the total vertical density flux, it becomes countergradient more quickly and more strongly in high-Pr than in low-Pr turbulence. All these theoretically derived differences between high-Pr and low-Pr turbulence are consistent with the experimental measurements in water tank and wind tunnel experiments and numerical simulations. It is shown that the initial kinetic and potential energy spectrum forms E(k) and S(k) near k = 0 determine the long-time limit values of the variances and the covariances, including their decay rate with time. In the special case of Pr = 1, the oscillation time period of the three-dimensional spectrum function is independent of the wavenumber and is the same as that of an inviscid fluid with the effect of viscosity/diffusion being limited to the damping of all the wavenumber components in-phase with each other. Furthermore, the non-dimensional ratios of the covariances, including the normalized vertical density flux and the anisotropy tensor, agree with the inviscid results if S(k) is proportional to E(k), or if either S(k) or E(k) is identically zero. However, even when Pr = 1, in the ‘one-dimensional spectrum’ in the x-direction, there is a transitory countergradient flux for high wavenumbers; only in this case is there a qualitative difference with the three-dimensioanl spectrum. This paper shows that the characteristic differences in the behaviour of stably stratified turbulence reported in previous DNS experiments at moderate Reynolds numbers can largely be explained by linear oscillations and simple molecular or eddy diffusion rather than by any new kinds of nonlinear mixing processes.

Type
Research Article
Copyright
© 1996 Cambridge University Press

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References

Barenblatt, G. I., Bertsch, M., Dal Passo, R., Prostokishin, V. M. & Ughi, M. 1993 A mathematical model of turbulent heat and mass transfer in stably stratified shear flow. J. Fluid Mech. 253, 341358.Google Scholar
Batchelor, G. K. 1953 The Theory of Homogeneous Turbulence. Cambridge University Press.
Batchelor, G. K. & Proudman, I. 1956 The large-scale structure of homogeneous turbulence. Phil. Trans. R. Soc. Lond. A 248, 369405.Google Scholar
Britter, R. E., Hunt, J. C. R., Marsh, G. L. & Snyder, W. H. 1983 The effect of stable stratification on turbulent diffusion and the decay of grid turbulence. J. Fluid Mech. 127, 2744.Google Scholar
Deissler, R. G. 1962 Turbulence in the presence of a vertical body force and temperature gradient. J. Geophys. Res. 67, 30493062.Google Scholar
Derbyshire, S. H. & Hunt, J. C. R. 1985 Structure of turbulence in stably stratified atmospheric boundary layers; Comparison of large eddy simulations and theoretical results. In Waves and Turbulence in Stably Stratified Flows (ed. S. D. Mobbs & J. C. King), pp. 2359. Clarendon.
Gerz, T. & Yamazaki, H. 1993 Direct numerical simulation of buoyancy-driven turbulence in stably stratified fluid. J. Fluid Mech. 249, 415440.Google Scholar
Haren, L. van, Staquet, C. & Cambon, C. 1996 Decaying stratified turbulence: comparison between a two-point closure EDQNM model and direct numerical simulations. Dyn. Atmos. Oceans 23, 217233.Google Scholar
Hinch, E. J. 1991 Perturbation Methods. Cambridge University Press.
Hunt, J. C. R. & Carruthers, D. J. 1990 Rapid distortion theory and the ‘problems’ of turbulence. J. Fluid Mech. 212, 497532.Google Scholar
Hunt, J. C. R., Kaimal, J. C. & Gaynor, J. E. 1985 Some observations of turbulence structure in stable layers. Q. J. R. Met. Soc. 111, 793815.Google Scholar
Hunt, J. C. R., Stretch, D. D. & Britter, R. E. 1988 Length scales in stably stratified turbulent flows and their use in turbulence models. In Stably Stratified Flow and Dense Gas Dispersion (ed. J. S. Puttock), pp. 285321. Clarendon.
Hunt, J. C. R. & Vassilicos, J. C. 1991 Kolmogorov's contributions to the physical and geometrical understanding of small-scale turbulence and recent developments. Proc. R. Soc. Lond. A 434, 183210.Google Scholar
Itsweire, E. C., Helland, K. N. & Van Atta, C. W. 1986 The evolution of grid-generated turbulence in a stably stratified fluid. J. Fluid Mech. 162, 299338.Google Scholar
Jayesh & Warhaft, Z. 1994 Turbulent penetration of a thermally stratified interfacial layer in a wind tunnel. J. Fluid Mech. 211, 2354.Google Scholar
Kimura, Y. & Herring, J. R. 1996 Diffusion in stably stratified turbulence. submitted to J. Fluid. Mech.Google Scholar
Komori, S. & Nagata, K. 1995 Effects of molecular diffusivities on counter-gradient scalar and momentum transfer in strong stable stratification. submitted to J. Fluid Mech.Google Scholar
Komori, S., Ueda, H., Ogino, F. & Mizushina, T. 1983 Turbulence structure in stably stratified open-channel flow. J. Fluid Mech. 130, 1326.Google Scholar
Lienhard, J. H. & Van Atta, C. W. 1990 The decay of turbulence in thermally stratified flow. J. Fluid Mech. 210, 57112.Google Scholar
Linden, P. F. 1980 Mixing across density interfaces produced by grid turbulence. J. Fluid Mech. 100, 691709.Google Scholar
Métais, O. & Herring, J. 1989 Numerical simulations of freely evolving turbulence in stably stratified fluids. J. Fluid Mech. 202, 117148.Google Scholar
Nai-ping, L., Neff, W. D. & Kaimal, J. C. 1983 Wave and turbulence structure in a disturbed nocturnal inversion. In Studies of Nocturnal Stable Layers at BAO (ed. J. C. Kaimal), pp. 5373. NOAA.
Nieuwstadt, F. T. M. 1984 The turbulent structure of the stable, nocturnal boundary layer. J. Atmos. Sci. 41, 22022216.Google Scholar
Pearson, H. J. & Linden, P. F. 1983 The final stage of decay of turbulence in stably stratified fluid. J. Fluid Mech. 134, 195203.Google Scholar
Pearson, H. J., Puttock, J. S. & Hunt, J. C. R. 1983 A statistical model of fluid-element motions and vertical diffusion in a homogeneous stratified turbulent flow. J. Fluid Mech. 129, 219249.Google Scholar
Riley, J. J., Metcalfe, R. W. & Weissman, M. A. 1981 Direct numerical simulations of homogeneous turbulence in density stratified fluids. In Nonlinear Properties of Internal Waves. AIP Conference Proc. vol. 76, pp. 79112. American Institute of Physics.
Saffman, P. G. 1967 The large-scale structure of homogeneous turbulence. J. Fluid Mech. 27, 581593.Google Scholar
Schumann, U. & Gerz, T. 1995 Turbulent mixing in stably stratified shear flows. J. Appl. Met. 34, 3348.Google Scholar
Thoroddsen, S. T. & Van Atta, C. W. 1995 The effects of vertical contraction on turbulence dynamics in a stably stratified fluid. J. Fluid Mech. 285, 371406.Google Scholar
Townsend, A. A. 1976 The Structure of Turbulent Shear Flow. Cambridge University Press.
Yoon, K. & Warhaft, Z. 1990 The evolution of grid generated turbulence under conditions of stable thermal stratification. J. Fluid Mech. 215, 601638.Google Scholar