Mesoscale spectrum of atmospheric motions investigated in a very fine resolution global general circulation model

[1] The horizontal spectrum of wind variance, conventionally referred to as the kinetic energy spectrum, is examined in experiments conducted with the Atmospheric GCM for the Earth Simulator (AFES) global spectral general circulation model. We find that the control version of AFES run at T639 horizontal spectral resolution simulates a kinetic energy spectrum that compares well at large scales with global observational reanalyses and, at smaller scales, with available aircraft observations at near-tropopause levels. Specifically there is a roughly −3 power-law dependence on horizontal wave number for wavelengths between about 5000 and 500 km, transitioning to a shallower mesoscale regime at smaller wavelengths. This is seen for both one-dimensional spectra and for the two-dimensional total wave number spectrum based on a spherical harmonic analysis. The simulated spectrum at midtropospheric levels is similar in that there is a transition to a shallower mesoscale regime, but the spectrum in the mesoscale is clearly steeper at midtroposphere than near the tropopause. There seem to be no extensive observations of horizontal spectra available in the midtroposphere, so it is not known whether the contrast seen in the model between upper and mid tropospheric levels is realistic. The dependence of the model simulated variability on the subgrid-scale moist convection parameterization is examined. The space-time variability of rainfall is shown to depend strongly on the convection scheme employed. The tropospheric kinetic energy spectrum in the mesoscale seems to be correlated with the precipitation behavior, so that in a version with a more variable precipitation field the kinetic energy in the mesoscale is enhanced. This suggests that the mesoscale motions in the model may be directly forced to a significant extent by the variability in the latent heating field. Experiments were also performed with a dry dynamical core version of the model run at both T639 and T1279 resolutions. 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 forward (i.e., downscale) nonlinear spectral cascade. Experiments with various formulations of the hyperdiffusion horizontal mixing parameterization show that the kinetic energy spectrum over about the last half of the resolved wave number range is under strong control by the parameterized mixing. However, the T1279 model simulates almost a decade of the shallow mesoscale regime (i.e., for horizontal wavelengths from about 80 to 500 km) that appears to be fairly independent of the diffusion employed. Finally, experiments are conducted in the dry version to see the effects on the kinetic energy spectrum of changing the thermal Rossby number for the simulations.

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

[2]  G. Brethouwer,et al.  Stratified turbulence forced in rotational and divergent modes , 2007, Journal of Fluid Mechanics.

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

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

[5]  W. Skamarock Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra , 2004 .

[6]  A Resolution Dependence of Equatorial Precipitation Activities Represented in a General Circulation Model , 2005 .

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

[8]  G. D. Nastrom,et al.  An Investigation of Terrain Effects on the Mesoscale Spectrum of Atmospheric Motions , 1987 .

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

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

[11]  Richard Neale,et al.  A standard test for AGCMs including their physical parametrizations: I: the proposal , 2000 .

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

[13]  W. H. Jasperson,et al.  Further Study of Terrain Effects on the Mesoscale Spectrum of Atmospheric Motions , 1990 .

[14]  Gareth P. Williams The dynamical range of global circulations — II , 1988 .

[15]  G. Mellor,et al.  A Hierarchy of Turbulence Closure Models for Planetary Boundary Layers. , 1974 .

[16]  R Tulloch,et al.  A theory for the atmospheric energy spectrum: Depth-limited temperature anomalies at the tropopause , 2006, Proceedings of the National Academy of Sciences.

[17]  Kevin Hamilton,et al.  Explicit global simulation of the mesoscale spectrum of atmospheric motions , 2006 .

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

[19]  B. Hunt The Influence of the Earth's Rotation Rate on the General Circulation of the Atmosphere , 1979 .

[20]  E. Lindborg The effect of rotation on the mesoscale energy cascade in the free atmosphere , 2005 .

[21]  I. Roulstone,et al.  Royal Meteorological Society discussion meeting on ‘New directions in mathematical modelling in numerical weather prediction’, 16th February, 2000. , 2000 .

[22]  E. Lindborg,et al.  The energy cascade in a strongly stratified fluid , 2006, Journal of Fluid Mechanics.

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

[24]  G. Boer,et al.  Homogeneous and Isotropic Turbulence on the Sphere , 1983 .

[25]  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 .

[26]  K. S. Smith Comments on “The k−3 and k−5/3 Energy Spectrum of Atmospheric Turbulence: Quasigeostrophic Two-Level Model Simulation” , 2004 .

[27]  K. Tung,et al.  The k−3 and k−5/3 Energy Spectrum of Atmospheric Turbulence: Quasigeostrophic Two-Level Model Simulation , 2001 .

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

[29]  Jun Yoshimura,et al.  Tropical Cyclone Climatology in a Global-Warming Climate as Simulated in a 20 km-Mesh Global Atmospheric Model: Frequency and Wind Intensity Analyses , 2006 .

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

[31]  E. Lindborg Horizontal Wavenumber Spectra of Vertical Vorticity and Horizontal Divergence in the Upper Troposphere and Lower Stratosphere , 2007 .

[32]  Marie Farge,et al.  Wave-vortex dynamics in rotating shallow water , 1989, Journal of Fluid Mechanics.

[33]  P. Bartello,et al.  Stratified turbulence dominated by vortical motion , 2004, Journal of Fluid Mechanics.

[34]  R. Kraichnan Inertial Ranges in Two‐Dimensional Turbulence , 1967 .

[35]  Wataru Ohfuchi,et al.  Description of AFES 2: Improvements for High-Resolution and Coupled Simulations , 2008 .

[36]  Y. Matsuda,et al.  The kH−3 and kH−5/3 energy spectra in stratified turbulence , 2006 .

[37]  John Y. N. Cho,et al.  Horizontal velocity structure functions in the upper troposphere and lower stratosphere 1 , 2001 .

[38]  A. Arakawa,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I , 1974 .

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

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

[41]  G. D. Nastrom,et al.  Kinetic energy spectrum of large-and mesoscale atmospheric processes , 1984, Nature.

[42]  Kerry Emanuel,et al.  Development and Evaluation of a Convection Scheme for Use in Climate Models , 1999 .

[43]  Rolando R. Garcia,et al.  The excitation of equatorial waves by deep convection in the NCAR Community Climate Model (CCM3) , 2000 .

[44]  Akira Noda,et al.  Changes in Extremes Indices over Japan Due to Global Warming Projected by a Global 20-km-mesh Atmospheric Model , 2005 .

[45]  D. Qin,et al.  Evaluation of ERA‐40, NCEP‐1, and NCEP‐2 reanalysis air temperatures with ground‐based measurements in China , 2008 .

[46]  John Y. N. Cho,et al.  Horizontal velocity structure functions in the upper troposphere and lower stratosphere: 2. Theoretical considerations , 2001 .