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Balance in non-hydrostatic rotating stratified turbulence

Published online by Cambridge University Press:  17 January 2008

WILLIAM J. McKIVER
Affiliation:
School of Mathematics and Statistics, University of St Andrews, St Andrews, UK
DAVID G. DRITSCHEL
Affiliation:
School of Mathematics and Statistics, University of St Andrews, St Andrews, UK

Abstract

It is now well established that two distinct types of motion occur in geophysical turbulence: slow motions associated with potential vorticity advection and fast oscillations due to inertia–gravity waves (or acoustic waves). Many studies have theorized the existence of a flow for which the entire motion is controlled by the potential vorticity (or one ‘master variable’) – this is known as balance. In real geophysical flows, deviations from balance in the form of inertia–gravity waves or ‘imbalance’ have often been found to be small. Here we examine the extent to which balance holds in rotating stratified turbulence which is nearly balanced initially.

Using the non-hydrostatic fluid dynamical equations under the Boussinesq approximation, we analyse properties of rotating stratified turbulence spanning a range of Rossby numbers (Ro≡|ζ|max/f) and the frequency ratios (cN/f) where ζ is the relative vertical vorticity, f is the Coriolis frequency and N is the buoyancy frequency. Using a recently introduced diagnostic procedure, called ‘optimal potential vorticity balance’, we extract the balanced part of the flow in the simulations and assess how the degree of imbalance varies with the above parameters.

We also introduce a new and more efficient procedure, building upon a quasi-geostrophic scaling analysis of the complete non-hydrostatic equations. This ‘nonlinear quasi-geostrophic balance’ procedure expands the equations of motion to second order in Rossby number but retains the exact (unexpanded) definition of potential vorticity. This proves crucial for obtaining an accurate estimate of balanced motions. In the analysis of rotating stratified turbulence at Ro≲1 and N/f≫1, this procedure captures a significantly greater fraction of the underlying balance than standard (linear) quasi-geostrophic balance (which is based on the linearized equations about a state of rest). Nonlinear quasi-geostrophic balance also compares well with optimal potential vorticity balance, which captures the greatest fraction of the underlying balance overall.

More fundamentally, the results of these analyses indicate that balance dominates in carefully initialized simulations of freely decaying rotating stratified turbulence up to O(1) Rossby numbers when N/f≫1. The fluid motion exhibits important quasi-geostrophic features with, in particular, typical height-to-width scale ratios remaining comparable to f/N.

Type
Papers
Copyright
Copyright © Cambridge University Press 2008

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References

Baer, F. 1977 Adjustment of initial conditions required to suppress gravity oscillations in nonlinear flows. Beitr. Phys. Atmos. 50, 350366.Google Scholar
Baer, F. & Tribbia, J. J. 1977 On complete filtering of gravity modes through nonlinear initialization. Mon. Wea. Rev. 105, 15361539.2.0.CO;2>CrossRefGoogle Scholar
Bokhove, O. 1997 Slaving principles, balanced dynamics, and the Hydrostatic Boussinesq Equations. J. Atmos. Sci. 54, 16621674.2.0.CO;2>CrossRefGoogle Scholar
Bolin, B. 1955 Numerical forecasting with the barotropic model. Tellus 7, 2749.CrossRefGoogle Scholar
Bolin, B. 1956 An improved barotropic model and some aspects of using the balance equations for three-dimensional flow. Tellus 8, 6175.Google Scholar
Charney, J. G. 1948 On the scale of atmospheric motions. Geofys. Publ. 17 (2), 317.Google Scholar
Charney, J. G. 1955 The use of the primitive equations of motion in numerical prediction. Tellus 7, 2226.CrossRefGoogle Scholar
Charney, J. G. 1962 Integration of the primitive and balance equations. Proc. Intl Symp. on Numerical Weather Predic. (ed. Syono, S.), pp. 131152. Meteorological Society of Japan.Google Scholar
Dritschel, D. G. & Ambaum, M. H. P. 1997 A contour-advective semi-lagrangian algorithm for the simulation of fine-scale conservative fields. Q. J. R. Met. Soc. 123, 10971130.Google Scholar
Dritschel, D. G. & Viúdez, Á. 2003 A balanced approach to modelling rotating stably stratified geophysical flows. J. Fluid Mech. 488, 123150.Google Scholar
Dritschel, D. G. & Viúdez, Á. 2007 The persistence of balance in geophysical flows. J. Fluid Mech. 570, 365383.Google Scholar
Ford, R., McIntyre, M. E. & Norton, W. A. 2000 Balance and the slow quasimanifold: Some explicit results. J. Atmos. Sci. 57, 12361254.2.0.CO;2>CrossRefGoogle Scholar
Gill, A. E. 1982 Atmosphere-Ocean Dynamics. Academic.Google Scholar
Hoskins, B. J., McIntyre, M. E. & Robertson, A. W. 1985 On the use and significance of isentropic potential-vorticity maps. Q. J. R. Met. Soc. 111, 877946.CrossRefGoogle Scholar
Lane, T. P., Doyle, J. D., Plougonven, R., Shapiro, M. A. & Sharman, R. D. 2004 Observations and numerical simulations of inertia–gravity waves and shearing instabilities in the vicinity of a jet stream. J. Atmos. Sci. 61, 26922706.CrossRefGoogle Scholar
Leith, C. E. 1980 Nonlinear normal mode initialization and quasi-geostrophic theory. J. Atmos. Sci. 37, 958968.Google Scholar
Machenhauer, B. 1977 On the dynamics of gravity oscillations in a shallow water model, with application to normal mode initialization. Beitr. Phys. Atmos. 50, 253271.Google Scholar
McIntyre, M. E. & Norton, W. A. 2000 Potential vorticity inversion on a hemisphere. J. Atmos. Sci. 57, 12141235, Corrigendum 58, 949.Google Scholar
Mohebalhojeh, A. R. 2002 On shallow-water potential-vorticity inversion by Rossby-number expansions. Q. J. R. Met. Soc. 128, 679694.Google Scholar
Mohebalhojeh, A. R. & Dritschel, D. G. 2000 On the representation of gravity waves in numerical models of the shallow water equations. Q. J. R. Met. Soc. 126, 669688.Google Scholar
Mohebalhojeh, A. R. & Dritschel, D. G. 2001 Hierarchies of balance conditions for the f-plane shallow water equations. J. Atmos. Sci. 58, 24112426.Google Scholar
Mohebalhojeh, A. R. & Dritschel, D. G. 2004 Contour-advective semi-Lagrangian algorithms for many-layer primitive equation models. Q. J. R. Met. Soc. 130, 347364.CrossRefGoogle Scholar
Muraki, D. J., Snyder, C. & Rotunno, R. 1999 The next-order corrections to quasigeostrophic theory. J. Atmos. Sci. 56, 15471560.2.0.CO;2>CrossRefGoogle Scholar
Reinaud, J., Dritschel, D. G. & Koudella, C. R. 2003 The shape of vortices in quasi-geostrophic turbulence. J. Fluid Mech. 474, 175191.CrossRefGoogle Scholar
Rotunno, R., Muraki, D. J. & Snyder, C. 2000 Unstable baroclinic waves beyond quasigeostrophic theory. J. Atmos. Sci. 57, 32853295.Google Scholar
Vallis, G. K. 1996 Potential vorticity inversion and balanced equations of motion for rotating and stratified flows. Q. J. R. Met. Soc. 122, 291322.Google Scholar
Vanneste, J. & Yavneh, I. 2004 Exponentially small inertia–gravity waves and the breakdown of quasi-geostrophic balance. J. Atmos. Sci. 61, 211223.Google Scholar
Viúdez, Á. & Dritschel, D. G. 2003 Vertical velocity in mesoscale geophysical flows. J. Fluid Mech. 483, 199223.Google Scholar
Viúdez, Á. & Dritschel, D. G. 2004 Optimal potential vorticity balance of geophysical flows. J. Fluid Mech. 521, 343352.CrossRefGoogle Scholar
Viúdez, Á. & Dritschel, D. G. 2006 Spontaneous generation of inertia–gravity wave packets by balanced geophysical flows. J. Fluid Mech. 553, 107117.CrossRefGoogle Scholar
Waite, M. L. & Bartello, P. 2006 The transition from geostrophic to stratified turbulence. J. Fluid Mech. 568, 89108.Google Scholar
Warn, T, Bokhove, O., Shepherd, T. G. & Vallis, G. K. 1995 Rossby number expansions, slaving principles, and balance dynamics. Q. J. R. Met. Soc. 121, 723739.Google Scholar