Analogies between Mass-Flux and Reynolds-Averaged Equations

Stephan R. de Roode Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands

Search for other papers by Stephan R. de Roode in
Current site
Google Scholar
PubMed
Close
,
Peter G. Duynkerke Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands

Search for other papers by Peter G. Duynkerke in
Current site
Google Scholar
PubMed
Close
, and
A. Pier Siebesma Royal Netherlands Meteorological Institute, De Bilt, Netherlands

Search for other papers by A. Pier Siebesma in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

In many large-scale models mass-flux parameterizations are applied to prognose the effect of cumulus cloud convection on the large-scale environment. Key parameters in the mass-flux equations are the lateral entrainment and detrainment rates. The physical meaning of these parameters is that they quantify the mixing rate of mass across the thermal boundaries between the cloud and its environment.

The prognostic equations for the updraft and downdraft value of a conserved variable are used to derive a prognostic variance equation in the mass-flux approach. The analogy between this equation and the Reynolds-averaged variance equation is discussed. It is demonstrated that the prognostic variance equation formulated in mass-flux variables contains a gradient-production, transport, and dissipative term. In the latter term, the sum of the lateral entrainment and detrainment rates represents an inverse timescale of the dissipation.

Steady-state solutions of the variance equations are discussed. Expressions for the fractional entrainment and detrainment coefficients are derived. Also, solutions for the vertical flux of an arbitrary conserved variable are presented. For convection in which the updraft fraction equals the downdraft fraction, the vertical flux of the scalar flows down the local mean gradient. The turbulent mixing coefficient is given by the ratio of the vertical mass flux and the sum of the fractional entrainment and detrainment coefficients. For an arbitrary updraft fraction, however, flux correction terms are part of the solution. It is shown that for a convective boundary layer these correction terms can account for countergradient transport, which is illustrated from large eddy simulation results. In the cumulus convection limit the vertical flux flows down the “cloud” gradient. It is concluded that in the mass-flux approach the turbulent mixing coefficients, and the correction terms that arise from the transport term, are very similar to closures applied to the Reynolds-averaged equations.

Corresponding author address: Stephan de Roode, Department of Atmospheric Sciences, University of Washington, Box 351640, Seattle, WA 98195-1640.

Email: roode@atmos.washington.edu

Abstract

In many large-scale models mass-flux parameterizations are applied to prognose the effect of cumulus cloud convection on the large-scale environment. Key parameters in the mass-flux equations are the lateral entrainment and detrainment rates. The physical meaning of these parameters is that they quantify the mixing rate of mass across the thermal boundaries between the cloud and its environment.

The prognostic equations for the updraft and downdraft value of a conserved variable are used to derive a prognostic variance equation in the mass-flux approach. The analogy between this equation and the Reynolds-averaged variance equation is discussed. It is demonstrated that the prognostic variance equation formulated in mass-flux variables contains a gradient-production, transport, and dissipative term. In the latter term, the sum of the lateral entrainment and detrainment rates represents an inverse timescale of the dissipation.

Steady-state solutions of the variance equations are discussed. Expressions for the fractional entrainment and detrainment coefficients are derived. Also, solutions for the vertical flux of an arbitrary conserved variable are presented. For convection in which the updraft fraction equals the downdraft fraction, the vertical flux of the scalar flows down the local mean gradient. The turbulent mixing coefficient is given by the ratio of the vertical mass flux and the sum of the fractional entrainment and detrainment coefficients. For an arbitrary updraft fraction, however, flux correction terms are part of the solution. It is shown that for a convective boundary layer these correction terms can account for countergradient transport, which is illustrated from large eddy simulation results. In the cumulus convection limit the vertical flux flows down the “cloud” gradient. It is concluded that in the mass-flux approach the turbulent mixing coefficients, and the correction terms that arise from the transport term, are very similar to closures applied to the Reynolds-averaged equations.

Corresponding author address: Stephan de Roode, Department of Atmospheric Sciences, University of Washington, Box 351640, Seattle, WA 98195-1640.

Email: roode@atmos.washington.edu

Save
  • André, J. C., G. De Moor, P. Lacarrère, G. Therry, and R. du Vachat, 1978: Modeling the 24-hour evolution of the mean and turbulent structures of the planetary boundary layer. J. Atmos. Sci.,35, 1861–1883.

  • Arakawa, A., 1969: Parameterization of cumulus convection. Proc. WMO/IUGG Symp. Numerical Weather Prediction, Tokyo, Japan, Japan Meteorological Agency, IV, 8, 1–6.

  • ——, and W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment: Part I. J. Atmos. Sci.,31, 674–701.

  • Bretherton, C. S., and M. C. Wyant, 1997: Moisture transport, lower-tropospheric stability, and decoupling of cloud-topped boundary layers. J. Atmos. Sci.,54, 148–167.

  • ——, P. Austin, and S. T. Siems, 1995: Cloudiness and marine boundary layer dynamics in the ASTEX Lagrangian Experiments. Part II: Cloudiness, drizzle, surface fluxes, and entrainment. J. Atmos. Sci.,52, 2724–2735.

  • Canuto, V. M., F. Minotti, C. Ronchi, and R. M. Ypma, 1994: Second-order closure PBL model with new third-order moments: Comparison with LES data. J. Atmos. Sci.,51, 1605–1618.

  • Coulman, C. E., 1978: Boundary-layer evolution and nocturnal inversion dispersal, Part II. Bound.-Layer Meteor.,14, 493–513.

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

  • De Laat, A. T. J., and P. G. Duynkerke, 1998: Analysis of ASTEX-stratocumulus observational data using a mass-flux approach. Bound.-Layer Meteor.,86, 63–87.

  • de Roode, S. R., and P. G. Duynkerke, 1996: Dynamics of cumulus rising into stratocumulus as observed during the first “Lagrangian” experiment of ASTEX. Quart. J. Roy. Meteor. Soc.,122, 1597–1623.

  • ——, and ——, 1997: Observed Lagrangian transition of stratocumulus into cumulus during ASTEX: Mean state and turbulence structure. J. Atmos. Sci.,54, 2157–2173.

  • Duynkerke, P. G., and A. G. M. Driedonks, 1987: A model for the turbulent structure of the stratocumulus-topped atmospheric boundary layer. J. Atmos. Sci.,44, 43–64.

  • Garratt, J. R., 1994: The Atmospheric Boundary Layer. Cambridge University Press, 316 pp.

  • Gerber, H., 1999: Comments on “A comparison of optical measurements of liquid water content and drop size distribution in adiabatic regions of Florida cumuli.” Atmos. Res.,50, 3–19.

  • Greenhut, G. K., and S. J. S. Khalsa, 1982: Updraft and downdraft events in the atmospheric boundary layer over the equatorial Pacific Ocean. J. Atmos. Sci.,39, 1803–1818.

  • Holtslag, A. A. M., and C.-H. Moeng, 1991: Eddy diffusivity and countergradient transport in the convective atmospheric boundary layer. J. Atmos. Sci.,48, 1690–1698.

  • Krueger, S. K., G. T. McLean, and Q. Fu, 1995: Numerical simulation of the stratus-to-cumulus transition in the subtropical marine boundary layer. Part II: Boundary-layer circulation. J. Atmos. Sci.,52, 2851–2868.

  • Lamb, R. G., 1978: A numerical simulation of dispersion from an elevated point source in the convective planetary boundary layer. Atmos. Environ.,12, 1297–1304.

  • Lenschow, D. H., and P. L. Stephens, 1980: The role of thermals in the convective boundary layer. Bound.-Layer Meteor.,19, 509–532.

  • Manton, M. J., 1977: On the structure of convection. Bound.-Layer Meteor.,12, 491–503.

  • Martin, G. M., D. W. Johnson, D. P. Rogers, P. R. Jonas, P. Minnis, and D. A. Hegg, 1995: Observations of the interaction between cumulus clouds and warm stratocumulus clouds in the marine boundary layer during ASTEX. J. Atmos. Sci.,52, 2902–2922.

  • Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. Space Phys.,20, 851–875.

  • Nicholls, S., 1984: The dynamics of stratocumulus: Aircraft observations and comparisons with a mixed layer model. Quart. J. Roy. Meteor. Soc.,110, 783–820.

  • ——, 1989: The structure of radiatively driven convection in stratocumulus. Quart. J. Roy. Meteor. Soc.,115, 487–511.

  • Petersen, A. C., C. Beets, H. van Dop, P. G Duynkerke, and A. P. Siebesma, 1999: Mass-flux characteristics of reactive scalars in the convective boundary layer. J. Atmos. Sci.,56, 37–56.

  • Raga, G. B., J. B. Jensen, and M. B. Baker, 1990: Characteristics of cumulus band clouds off the coast of Hawaii. J. Atmos. Sci.,47, 338–355.

  • Randall, D. A., Q. Shao, and C.-H. Moeng, 1992: A second-order bulk boundary-layer model. J. Atmos. Sci.,49, 1903–1923.

  • Schumann, U., and C.-H. Moeng, 1991a: Plume fluxes in clear and cloudy convective boundary layers. J. Atmos. Sci.,48, 1746–1757.

  • ——, and ——, 1991b: Plume budgets in clear and cloudy convective boundary layers. J. Atmos. Sci.,48, 1758–1770.

  • Siebesma, A. P., 1996: On the mass flux approach for atmospheric convection. Proc. ECMWF Seminar: New Insights and Approaches to Convective Parametrization, Shinfield Park, Reading, United Kingdom, ECMWF, 25–51.

  • ——, 1998: Shallow cumulus convection. Buoyant Convection in Geophysical Flows, E. J. Plate et al., Eds., Kluwer Academic Publishers, 41–82.

  • ——, and J. W. M. Cuijpers, 1995: Evaluation of parametric assumptions for shallow cumulus convection. J. Atmos. Sci.,52, 650–666.

  • ——, and A. A. M. Holtslag, 1996: Model impacts of entrainment and detrainment rates in shallow cumulus convection. J. Atmos. Sci.,53, 2354–2364.

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

  • Tiedtke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev.,117, 1779–1800.

  • Wang, Q., and D. H. Lenschow, 1995: An observational study of the role of penetrating cumulus in a marine stratocumulus-topped boundary layer. J. Atmos. Sci.,52, 2778–2787.

  • Wang, S., 1993: Modeling marine boundary-layer clouds with a two-layer model: A one-dimensional simulation. J. Atmos. Sci.,50, 4001–4021.

  • ——, and B. A. Albrecht, 1990: A mean-gradient model of the dry convective boundary layer. J. Atmos. Sci.,47, 126–138.

  • Wyngaard, J. C., and J. C. Weil, 1991: Transport asymmetry in skewed turbulence. Phys. Fluids A,3, 155–162.

  • ——, and C.-H. Moeng, 1992: Parameterizing turbulent diffusion through the joint probability density. Bound.-Layer Meteor.,60, 1–13.

  • Young, G. S., 1988a: Turbulence structure of the convective boundary layer. Part II: Phoenix 78 aircraft observations of thermals and their environment. J. Atmos. Sci.,45, 727–735.

  • ——, 1988b: Turbulence structure of the convective boundary layer. Part III: The vertical velocity budgets of thermals and their environment. J. Atmos. Sci.,45, 2039–2049.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 330 65 2
PDF Downloads 181 44 1