• Agee, E. M., 1984: Observations from space and thermal convection:A historical perspective. Bull. Amer. Meteor. Soc.,65, 938–946.

  • Bretherton, C. S., and Coauthors, 1997: An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud, as simulated by different numerical models. Quart. J. Roy. Meteor. Soc., in press.

  • Cuijpers, J. W. M., and P. G. Duynkerke, 1993: Large eddy simulation of trade wind cumulus clouds. J. Atmos. Sci.,50, 3894–3908.

  • Davis, A., A. Marshak, W. Wiscombe, and R. F. Cahalan, 1996: Scale invariance of liquid water distribution in marine stratocumulus. Part I: Spectral properties and stationarity issues. J. Atmos. Sci.,53, 1538–1558.

  • Dörnbrack, A., 1997: Broadening of convective cells. Quart. J. Roy. Meteor. Soc.,123, 829–847.

  • Fiedler, B. H., 1993: Cell broadening in three-dimensional thermal convection between poorly conducting boundaries. Beitr. Phys. Atmos.,66, 173–181.

  • ——, and M. Khairoutdinov, 1994: Cell broadening in three-dimensional thermal convection between poorly conducting boundaries: Large eddy simulations. Beitr. Phys. Atmos.,67, 235–241.

  • Fiedler, F., and H. A. Panofsky, 1970: Atmospheric scales and spectral gaps. Bull. Amer. Meteor. Soc.,51, 1114–1119.

  • Garrat, J. R., 1992: The Atmospheric Boundary Layer. Cambridge University Press, 316 pp.

  • Jonker, H. J. J., P. G. Duynkerke, and J. W. M. Cuijpers, 1997: Energy spectra in the mesoscale range: An LES study. Proc. 12th Symp. on Boundary Layers and Turbulence, Vancouver, BC, Canada, Amer. Meteor. Soc., 225–226.

  • Kraichnan, R. H., 1967: Inertial ranges in two-dimensional turbulence. Phys. Fluids,10, 1417–1423.

  • Müller, G., and A. Chlond, 1996: Three-dimensional numerical study of cell broadening during cold-air outbreaks. Bound.-Layer Meteor.,81, 289–323.

  • Nicholls, S., and M. LeMone, 1980: The fair weather boundary layer in GATE: The relationship of subcloud fluxes and structure to the distribution and enhancement of cumulus clouds. J. Atmos. Sci.,37, 2051–2067.

  • Nucciarone, J. F., and G. S. Young, 1991: Aircraft measurements of turbulence spectra in the marine stratocumulus-topped boundary layer. J. Atmos. Sci.,48, 2382–2392.

  • Shao, Q., and D. A. Randall, 1996: Closed mesoscale cellular convection driven by cloud-top radiative cooling. J. Atmos. Sci.,53, 2144–2165.

  • Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer, 666 pp.

  • Tennekes, H., and J. L. Lumley, 1972: A First Course in Turbulence. The MIT Press, 300 pp.

  • van Delden, A., 1985: On the preferred mode of cumulus convection. Beitr. Phys. Atmos.,58, 202–219.

  • van der Hoven, I., 1957: Power spectrum of horizontal wind speed in the frequency range from 0.0007 to 900 cycles per hour. J. Meteor.,14, 160–164.

  • Vreugdenhil, C. B., and B. Koren, 1993: Notes on Numerical Fluid Mechanics. Vol. 45, Numerical Methods for Advection-Diffusion Problems, Vieweg, 373 pp.

  • Wyngaard, J. C., and R. A. Brost, 1984: Top-down and bottom-up diffusion of a scalar in the convective boundary layer. J. Atmos. Sci.,41, 102–112.

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Mesoscale Fluctuations in Scalars Generated by Boundary Layer Convection

Harm J. J. JonkerInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands, and Royal Netherlands Meteorological Institute, De Bilt, the Netherlands

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Peter G. DuynkerkeInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands

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Joannes W. M. CuijpersInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands, and Royal Netherlands Meteorological Institute, De Bilt, the Netherlands

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Abstract

This study has determined energy spectra of turbulent variables in large eddy simulations of the penetrating dry convective boundary layer (microscale convection). The simulated domain has a large aspect ratio, the horizontal size being roughly 16 times the boundary layer depth. It turns out that both the turbulent velocities and the potential temperature exhibit “classic” energy spectra, which means that the dominant contribution to the variance originates from a scale of the order of the boundary layer height.

Surprisingly, the authors find that energy spectra of passive scalars in the convective boundary layer can behave completely differently from the velocity and temperature spectra. Depending on the boundary conditions of the scalar, that is, the surface flux and the entrainment flux, the spectrum is either classical in the aforementioned sense or it is dominated by the smallest wavenumbers, implying that the fluctuations are dominated by the largest scales. Loosely speaking the results can be summarized as follows: if the scalar entrainment flux is a negative fraction (about −½) of the surface flux, the scalar fluctuations are dominated by relatively small scales (∼ boundary layer depth), whereas in most other cases the scalar fluctuations tend to be dominated by the largest scales resolved (∼ tenths of kilometers, i.e., mesoscales). The latter result is rather peculiar since neither the velocity components nor the temperature field contains these large-scale fluctuations.

Corresponding author address: Dr. Harm J. J. Jonker, Royal Netherlands Meteorological Institute, P.O. Box 201, 3730 AE De Bilt, the Netherlands.

Email: jonker@knmi.nl

Abstract

This study has determined energy spectra of turbulent variables in large eddy simulations of the penetrating dry convective boundary layer (microscale convection). The simulated domain has a large aspect ratio, the horizontal size being roughly 16 times the boundary layer depth. It turns out that both the turbulent velocities and the potential temperature exhibit “classic” energy spectra, which means that the dominant contribution to the variance originates from a scale of the order of the boundary layer height.

Surprisingly, the authors find that energy spectra of passive scalars in the convective boundary layer can behave completely differently from the velocity and temperature spectra. Depending on the boundary conditions of the scalar, that is, the surface flux and the entrainment flux, the spectrum is either classical in the aforementioned sense or it is dominated by the smallest wavenumbers, implying that the fluctuations are dominated by the largest scales. Loosely speaking the results can be summarized as follows: if the scalar entrainment flux is a negative fraction (about −½) of the surface flux, the scalar fluctuations are dominated by relatively small scales (∼ boundary layer depth), whereas in most other cases the scalar fluctuations tend to be dominated by the largest scales resolved (∼ tenths of kilometers, i.e., mesoscales). The latter result is rather peculiar since neither the velocity components nor the temperature field contains these large-scale fluctuations.

Corresponding author address: Dr. Harm J. J. Jonker, Royal Netherlands Meteorological Institute, P.O. Box 201, 3730 AE De Bilt, the Netherlands.

Email: jonker@knmi.nl

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