Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-18T18:46:18.335Z Has data issue: false hasContentIssue false

Equilibrium dynamics in a forced-dissipative f-plane shallow-water system

Published online by Cambridge University Press:  26 April 2006

Li Yuan
Affiliation:
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ 08542, USA Present address: College of Oceanic and Atmospheric Sciences, Oregon State University, Corvallis, Oregon, USA
Kevin Hamilton
Affiliation:
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton University, Princeton, NJ 08542, USA

Abstract

The equilibrium dynamics in a homogeneous forced-dissipative f-plane shallow-water system is investigated through numerical simulations. In addition to classical two-dimensional turbulence, inertio-gravity waves also exist in this system. The dynamics is examined by decomposing the full flow field into a dynamically balanced potential-vortical component and a residual ‘free’ component. Here the potential-vortical component is defined as part of the flow that satisfies the gradient-wind balance equation and that contains all the linear potential vorticity of the system. The residual component is found to behave very nearly as linear inertio-gravity waves. The forcing employed is a mass and momentum source balanced so that only the large-scale potential-vortical component modes are directly excited. The dissipation is provided by a linear relaxation applied to the large scales and by an eighth-order linear hyperdiffusion. The statistical properties of the potential-vortical component in the fully developed flow were found to be very similar to those of classical two-dimensional turbulence. In particular, the energy spectrum of the potential-vortical component at scales smaller than the forcing is close to the ∼ k−3 expected for a purely two-dimensional system. Detailed analysis shows that the downscale enstrophy cascade into any wavenumber is dominated by very elongated triads involving interactions with large scales. Although not directly forced, a substantial amount of energy is found in the inertio-gravity modes and interactions among inertio-gravity modes are principally responsible for transferring energy to the small scales. The contribution of the inertio-gravity modes to the flow leads to a shallow tail at the high-wavenumber end of the total energy spectrum. For parameters roughly appropriate for the midlatitude atmosphere (notably Rossby number ∼ 0.5), the break between the roughly ∼ k−3 regime and this shallower regime occurs at scales of a few hundred km. This is similar to the observed mesoscale regime in the atmosphere. The nonlinear interactions among the inertio-gravity modes are extremely broadband in spectral space. The implications of this result for the subgrid-scale closure in the shallow-water model are discussed.

Type
Research Article
Copyright
© 1994 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Basdevant, C, Legras, B., Sadourny, R. & Beland, M. 1981 A study of barotropic model flows: intermittency, waves and predictability. J. Atmos. Sci. 38, 23052326.Google Scholar
Basdevant, C., Lesieur, M. & Sadourny, R. 1978 Subgrid-scale modeling of enstrophy transfer in two-dimensional turbulence. J. Atmos. Sci. 35, 10281042.Google Scholar
Boer, G. J. & Shepherd, T. G. 1983 Large-scale two-dimensional turbulence in the atmosphere. J. Atmos. Sci. 40, 164183.Google Scholar
Farge, M. & Lacarra, J. F. 1988 The numerical modelling of shallow-water equations. J. Méc. Théor. Appl. Special Issue Suppl. 7, 6386.Google Scholar
Farge, M. & Sadourny, R. 1989 Wave-vortex dynamics in rotating shallow water. J. Fluid Mech. 206, 433462 (referred to herein as FS).Google Scholar
Fornberg, B. 1977 A numerical study of two-dimensional turbulence. J. Comput. Phys. 25, 131.Google Scholar
Gage, K. S. & Nastrom, G. D. 1986 Theoretical interpretation of atmospheric wavenumber spectra of wind and temperature observed by commercial aircraft during GASP. J. Atmos. Sci. 43, 729740.Google Scholar
Hoyer, J. M. & Sadourny, R. 1982 Closure modeling of fully developed baroclinic instability. J. Atmos. Sci. 39, 707721.Google Scholar
Kraichnan, R. H. 1967 Inertial ranges in two-dimensional turbulence. Phys. Fluids 10, 14171423.Google Scholar
Kraichnan, R. H. 1975 Statistical dynamics of two-dimensional flow. J. Fluid Mech. 67, 155175.Google Scholar
Legras, B., Santangelo, P. & Benzi, R. 1988 High resolution numerical experiments for forced two-dimensional turbulence. Europhys. Lett., 5, 3742.Google Scholar
Lilly, D. K. 1972 Numerical simulation studies of two-dimensional turbulence. Geophys. Fluid Dyn. 3, 289319.Google Scholar
Lilly, D. K. 1983 Stratified turbulence and the mesoscale variability of the atmosphere. J. Atmos. Sci. 40, 749761.Google Scholar
Lorenz, E. N. 1980 Attractor sets and quasi-geostrophic equilibrium. J. Atmos. Sci. 37, 16851699.Google Scholar
Maltrud, M. E. & Vallis, G. K. 1991 Energy spectra and coherent structures in forced two-dimensional and beta-plane turbulence. J. Fluid Mech. 228, 321342.Google Scholar
Maltrud, M. E. & Vallis, G. K. 1993 Energy and enstrophy transfer in numerical simulations of two-dimensional turbulence. Phys. Fluids 5, 17601775.Google Scholar
McWilliams, J. C. 1984 The emergence of coherent vortices in turbulent flow. J. Fluid Mech. 146, 2143.Google Scholar
Nastrom, G. D. & Gage, K. S. 1985 A climatology of atmospheric wavenumber spectra observed by commercial aircraft. J. Atmos. Sci. 42, 950960.Google Scholar
Ohkitani, K. & Kida, S. 1992 Triad interactions in a forced turbulence. Phys. Fluids A 4, 794802.Google Scholar
Polvani, L. M., McWilliams, J. C. Spall, M. A. & Ford, R. 1994 The coherent structures of shallow-water turbulence: deformation-radius effects, cyclone/anticyclone asymmetry and gravity-wave generation. Chaos (in press).
Pouquet, A., Lesieur, M., Andre, J. C. & Basdevant, C. 1975 Evolution of high Reynolds number two-dimensional turbulence. J. Fluid Mech. 72, 305319.Google Scholar
Spall, M. & McWilliams, J. C. 1992 Rotational and gravitational influences on the degree of balance in the shallow-water equations. Geophys. Astrophys. Fluid Dyn. 64, 129.Google Scholar
Strahan, S. & Mahlman, J. D. 1994 Evaluation of the GFDL “SKYHI” general circulation model using aircraft N2O measurements: II Tracer variability and diabatic meridional circulation. J. Geophys. Res. 99, 1031910332.Google Scholar
Warn, T. 1986 Statistical mechanical equilibria of the shallow-water equations. Tellus 38A, 111.Google Scholar
Yuan, L. 1993 Statistical equilibrium dynamics in a forced-dissipative shallow-water system. PhD thesis, Princeton University, Princeton, New Jersey.