Explicit global simulation of the mesoscale spectrum of atmospheric motions

[1] The horizontal spectrum of kinetic energy in the upper troposphere in experiments conducted with the Atmospheric GCM for the Earth Simulator (AFES) global spectral general circulation model is examined. We find that the control version of AFES run at T639 spectral resolution can simulate a realistic kinetic energy spectrum with roughly −3 power-law dependence on horizontal wavenumber for wavelengths between about 5000 and 500 km, transitioning to a shallower mesoscale regime at smaller wavelengths. The results depend to a degree on the magnitude of the parameterized horizontal hyperdiffusion, but the existence of a distinct shallow mesoscale range in the simulations is independent of the hyperdiffusion employed. We present results from a number of AFES integrations with spectral truncations ranging from T39 to T639 and determine the appropriate scaling of the parametrized hyperdiffusion with model numerical resolution so that the kinetic energy spectrum in each case converges to realistic values. The experiment was also repeated in a dry version of the model. This version also simulated a shallow mesoscale range, supporting the view that the mesoscale regime in the atmosphere is energized, at least in part, by a predominantly downscale nonlinear spectral cascade.

[1]  Kevin Hamilton,et al.  The Horizontal Kinetic Energy Spectrum and Spectral Budget Simulated by a High-Resolution Troposphere–Stratosphere–Mesosphere GCM , 2001 .

[2]  A. Arakawa Computational design for long-term numerical integration of the equations of fluid motion: two-dimen , 1997 .

[3]  T. VanZandt,et al.  A universal spectrum of buoyancy waves in the atmosphere , 1982 .

[4]  T. Palmer A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models , 2001 .

[5]  K. Emanuel A Scheme for Representing Cumulus Convection in Large-Scale Models , 1991 .

[6]  Theodore G. Shepherd,et al.  Large-Scale Two-Dimensional Turbulence in the Atmosphere , 1983 .

[7]  B. Hoskins,et al.  Believable scales and parameterizations in a spectral transform model , 1997 .

[8]  John Y. N. Cho,et al.  Horizontal wavenumber spectra of winds, temperature, and trace gases during the Pacific Exploratory Missions: 1. Climatology , 1999 .

[9]  Douglas K. Lilly,et al.  Stratified Turbulence and the Mesoscale Variability of the Atmosphere , 1983 .

[10]  G. Vallis,et al.  Balanced mesoscale motion and stratified turbulence forced by convection , 1997 .

[11]  M. Suárez,et al.  A proposal for the intercomparison of the dynamical cores of atmospheric general circulation models , 1994 .

[12]  E. Lindborg Can the atmospheric kinetic energy spectrum be explained by two-dimensional turbulence? , 1999, Journal of Fluid Mechanics.

[13]  K. Hamilton,et al.  Equilibrium dynamics in a forced-dissipative f-plane shallow-water system , 1994, Journal of Fluid Mechanics.

[14]  G. D. Nastrom,et al.  A Climatology of Atmospheric Wavenumber Spectra of Wind and Temperature Observed by Commercial Aircraft , 1985 .

[15]  Byron A. Boville,et al.  Sensitivity of Simulated Climate to Model Resolution , 1991 .

[16]  B. Boville,et al.  Kinetic energy spectrum of horizontal motions in middle-atmosphere models , 1999 .

[17]  G. D. Nastrom,et al.  Theoretical Interpretation of Atmospheric Wavenumber Spectra of Wind and Temperature Observed by Commercial Aircraft During GASP , 1986 .

[18]  Hisashi Nakamura,et al.  10-km Mesh Meso-scale Resolving Simulations of the Global Atmosphere on the Earth Simulator - Preliminary Outcomes of AFES (AGCM for the Earth Simulator) - , 2004 .

[19]  John Y. N. Cho,et al.  Horizontal Wavenumber Spectra of Winds, Temperature and Trace Gases During the Pacific Exploratory Missions. 2; Gravity Waves, Quasi-Two-Dimensional Turbulence, and Vortical Modes , 1999 .