An Integrated TKE-Based Eddy Diffusivity/Mass Flux Boundary Layer Closure for the Dry Convective Boundary Layer

Marcin L. Witek Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

Search for other papers by Marcin L. Witek in
Current site
Google Scholar
PubMed
Close
,
Joao Teixeira Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

Search for other papers by Joao Teixeira in
Current site
Google Scholar
PubMed
Close
, and
Georgios Matheou Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

Search for other papers by Georgios Matheou in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study presents a new approach to the eddy diffusivity/mass flux (EDMF) framework for the modeling of convective boundary layers. At the root of EDMF lies a decomposition of turbulent transport mechanisms into strong ascending updrafts and smaller-scale turbulent motions. The turbulent fluxes can be therefore described using two conventional approaches: mass flux (MF) for the organized thermals and eddy diffusivity (ED) for the remaining turbulent field. Since the intensities of both MF and ED transports depend on the kinetic energy of the turbulent motions, it seems reasonable to formulate an EDMF framework based on turbulent kinetic energy (TKE). Such an approach allows for more physical and less arbitrary formulations of parameters in the model. In this study the EDMF–TKE coupling is achieved through the use of (i) a new parameterization for the lateral entrainment coefficient ε and (ii) the MF contribution to the buoyancy source of TKE. Some other important features of the EDMF parameterization presented here include a revised mixing length formulation and Monin–Obukhov stability scaling for the surface layer. The scheme is implemented in a one-dimensional (1D) model. Several cases of dry convective boundary layers (CBL) with different surface sensible heat fluxes in the free-convection limit are investigated. Results are compared to large-eddy simulation (LES). Good agreement between LES and the 1D model is achieved with respect to mean profiles, boundary layer evolution, and updraft characteristics. Some disagreements between the models are found to most likely relate to deficiencies in the TKE simulation in the 1D model. Comparison with other previously established ε parameterizations shows that the new TKE-based formulation leads to equally accurate, and in many respects better, simulation of the CBL. The encouraging results obtained with the proposed EDMF framework indicate that full integration of EDMF with higher-order closures is possible and can further improve boundary layer simulations.

Corresponding author address: Marcin L. Witek, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109. E-mail: marcin.l.witek@jpl.nasa.gov

Abstract

This study presents a new approach to the eddy diffusivity/mass flux (EDMF) framework for the modeling of convective boundary layers. At the root of EDMF lies a decomposition of turbulent transport mechanisms into strong ascending updrafts and smaller-scale turbulent motions. The turbulent fluxes can be therefore described using two conventional approaches: mass flux (MF) for the organized thermals and eddy diffusivity (ED) for the remaining turbulent field. Since the intensities of both MF and ED transports depend on the kinetic energy of the turbulent motions, it seems reasonable to formulate an EDMF framework based on turbulent kinetic energy (TKE). Such an approach allows for more physical and less arbitrary formulations of parameters in the model. In this study the EDMF–TKE coupling is achieved through the use of (i) a new parameterization for the lateral entrainment coefficient ε and (ii) the MF contribution to the buoyancy source of TKE. Some other important features of the EDMF parameterization presented here include a revised mixing length formulation and Monin–Obukhov stability scaling for the surface layer. The scheme is implemented in a one-dimensional (1D) model. Several cases of dry convective boundary layers (CBL) with different surface sensible heat fluxes in the free-convection limit are investigated. Results are compared to large-eddy simulation (LES). Good agreement between LES and the 1D model is achieved with respect to mean profiles, boundary layer evolution, and updraft characteristics. Some disagreements between the models are found to most likely relate to deficiencies in the TKE simulation in the 1D model. Comparison with other previously established ε parameterizations shows that the new TKE-based formulation leads to equally accurate, and in many respects better, simulation of the CBL. The encouraging results obtained with the proposed EDMF framework indicate that full integration of EDMF with higher-order closures is possible and can further improve boundary layer simulations.

Corresponding author address: Marcin L. Witek, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109. E-mail: marcin.l.witek@jpl.nasa.gov
Save
  • Abdella, K., and N. A. McFarlane, 1996: Parameterization of the surface-layer exchange coefficients for atmospheric models. Bound.-Layer Meteor., 80, 223248.

    • Search Google Scholar
    • Export Citation
  • Angevine, W. M., 2005: An integrated turbulence scheme for the boundary layer with shallow cumulus applied to pollutant transport. J. Appl. Meteor., 44, 14361452.

    • Search Google Scholar
    • Export Citation
  • Angevine, W. M., H. Jiang, and T. Mauritsen, 2010: Performance of an eddy diffusivity–mass flux scheme for shallow cumulus boundary layers. Mon. Wea. Rev., 138, 28952912.

    • Search Google Scholar
    • Export Citation
  • Arakawa, A., and W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I. J. Atmos. Sci., 31, 674701.

    • Search Google Scholar
    • Export Citation
  • Beljaars, A. C. M., 1995: The parameterization of surface fluxes in large-scale models under free convection. Quart. J. Roy. Meteor. Soc., 121, 255270.

    • Search Google Scholar
    • Export Citation
  • Betts, A. K., 1973: Non-precipitating cumulus convection and its parameterization. Quart. J. Roy. Meteor. Soc., 99, 178196.

  • Blackadar, A., 1962: The vertical distribution of wind and turbulent exchange in a neutral atmosphere. J. Geophys. Res., 67, 30953102.

    • Search Google Scholar
    • Export Citation
  • Cheinet, S., 2003: A multiple mass-flux parameterization for the surface-generated convection. Part I: Dry plumes. J. Atmos. Sci., 60, 23132327.

    • Search Google Scholar
    • Export Citation
  • Cheinet, S., and J. Teixeira, 2003: A simple formulation for the eddy-diffusivity parameterization of cloud-topped boundary layers. Geophys. Res. Lett., 30, 1930, doi:10.1029/2003GL017377.

    • Search Google Scholar
    • Export Citation
  • Deardorff, J. W., 1966: The counter-gradient heat flux in the lower atmosphere and in the laboratory. J. Atmos. Sci., 23, 503506.

  • Harlow, F. H., and J. E. Welch, 1965: Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Phys. Fluids, 8, 21822189.

    • Search Google Scholar
    • Export Citation
  • Holtslag, A. A. M., and C.-H. Moeng, 1991: Eddy diffusivity and countergradient transport in the convective atmospheric boundary layer. J. Atmos. Sci., 48, 16901698.

    • Search Google Scholar
    • Export Citation
  • Hurley, P., 2007: Modeling mean and turbulence fields in the dry convective boundary layer with the eddy-diffusivity/mass-flux approach. Bound.-Layer Meteor., 125, 525536.

    • Search Google Scholar
    • Export Citation
  • Lappen, C.-L., and D. A. Randall, 2001: Toward a unified parameterization of the boundary layer and moist convection. Part I: A new type of mass-flux model. J. Atmos. Sci., 58, 20212036.

    • Search Google Scholar
    • Export Citation
  • Lesieur, M., and O. Metais, 1996: New trends in large-eddy simulations of turbulence. Annu. Rev. Fluid Mech., 28, 4582.

  • Lilly, D. K., 1962: On the numerical simulation of buoyant convection. Tellus, 14, 148172.

  • Moeng, C. H., and P. Sullivan, 1994: A comparison of shear- and buoyancy-driven planetary boundary layer flows. J. Atmos. Sci., 51, 9991022.

    • Search Google Scholar
    • Export Citation
  • Monin, A. S., and A. M. Obukhov, 1954: Basic regularity in turbulent mixing in the surface layer of the atmosphere. Akad. Nauk. S.S.S.R. Trud. Geofiz. Inst., 24, 163187.

    • Search Google Scholar
    • Export Citation
  • Morinishi, Y., T. S. Lund, O. V. Vasilyev, and P. Moin, 1998: Fully conservative higher order finite difference schemes for incompressible flow. J. Comput. Phys., 143, 90124.

    • Search Google Scholar
    • Export Citation
  • Nakanishi, M., 2001: Improvement of the Mellor–Yamada turbulence closure model based on large-eddy simulation data. Bound.-Layer Meteor., 99, 349378.

    • Search Google Scholar
    • Export Citation
  • Neggers, R. A. J., 2009: A dual mass flux framework for boundary layer convection. Part II: Clouds. J. Atmos. Sci., 66, 14891506.

  • Neggers, R. A. J., A. P. Siebesma, and H. J. J. Jonker, 2002: A multi-parcel model for shallow cumulus convection. J. Atmos. Sci., 59, 16551668.

    • Search Google Scholar
    • Export Citation
  • Neggers, R. A. J., M. Köhler, and A. C. M. Beljaars, 2009: A dual mass flux framework for boundary layer convection. Part I: Transport. J. Atmos. Sci., 66, 14651487.

    • Search Google Scholar
    • Export Citation
  • Nieuwstadt, F. T. M., P. J. Mason, C.-H. Moeng, and U. Schumann, 1992: Large-eddy simulation of the convective boundary layer: A comparison of four codes. Turbulent Shear Flows 8: Selected papers from the Eighth International Symposium on Turbulent Shear Flows, F. Durst et al., Eds., Springer, 343–367.

    • Search Google Scholar
    • Export Citation
  • Ogura, Y., and N. A. Phillips, 1962: Scale analysis of deep and shallow convection in the atmosphere. J. Atmos. Sci., 19, 173179.

  • Ooyama, K., 1971: A theory on parameterization of shallow cumulus convection. J. Meteor. Soc. Japan, 49, 744756.

  • Paulson, C. A., 1970: The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteor., 9, 857861.

    • Search Google Scholar
    • Export Citation
  • Potty, K. V. J., U. C. Mohanty, and S. Raman, 2001: Simulation of boundary layer structure over the Indian summer monsoon trough during the passage of a depression. J. Appl. Meteor., 40, 12411254.

    • Search Google Scholar
    • Export Citation
  • Randall, D. A., Q. Shao, and C.-H. Moeng, 1992: A second-order bulk boundary-layer model. J. Atmos. Sci., 49, 19031923.

  • Schmidt, H., and U. Schumann, 1989: Coherent structure of the convective boundary layer derived from large-eddy simulations. J. Fluid Mech., 200, 511562.

    • Search Google Scholar
    • Export Citation
  • Schumann, U., and C.-H. Moeng, 1991a: Plume fluxes in clear and cloudy convective boundary layers. J. Atmos. Sci., 48, 17461757.

  • Schumann, U., and C.-H. Moeng, 1991b: Plume budgets in clear and cloudy convective boundary layers. J. Atmos. Sci., 48, 17581770.

  • Siebesma, A. P., and J. W. M. Cuijpers, 1995: Evaluation of parametric assumptions for shallow cumulus convection. J. Atmos. Sci., 52, 650666.

    • Search Google Scholar
    • Export Citation
  • Siebesma, A. P., and J. Teixeira, 2000: An advection–diffusion scheme for the convective boundary layer: Description and 1D results. Proc. 14th Symp. on Boundary Layers and Turbulence, Aspen, CO, Amer. Meteor. Soc., 133–136.

    • Search Google Scholar
    • Export Citation
  • Siebesma, A. P., P. M. M. Soares, and J. Teixeira, 2007: A combined eddy-diffusivity mass-flux approach for the convective boundary layer. J. Atmos. Sci., 64, 12301248.

    • Search Google Scholar
    • Export Citation
  • Simpson, J., and V. Wiggert, 1969: Models of precipitating cumulus towers. Mon. Wea. Rev., 97, 471489.

  • Smagorinsky, J., 1963: General circulation experiments with the primitive equations. I. The basic experiment. Mon. Wea. Rev., 91, 99164.

    • Search Google Scholar
    • Export Citation
  • Soares, P. M. M., P. M. A. Miranda, A. P. Siebesma, and J. Teixeira, 2004: An eddy-diffusivity/mass-flux parameterization for dry and shallow cumulus convection. Quart. J. Roy. Meteor. Soc., 130, 33653383.

    • Search Google Scholar
    • Export Citation
  • Soares, P. M. M., P. M. A. Miranda, J. Teixeira, and A. P. Siebesma, 2007: An eddy-diffusivity/mass-flux boundary layer parameterization based on the turbulent kinetic energy equation. Fis. Tierra, 19, 147161.

    • Search Google Scholar
    • Export Citation
  • Spalart, P. R., R. D. Moser, and M. M. Rogers, 1991: Spectral methods for the Navier–Stokes equations with one infinite and two periodic directions. J. Comput. Phys., 96, 297324.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., 2000: Quasi-steady analysis of a PBL model with an eddy-diffusivity profile and nonlocal fluxes. Mon. Wea. Rev., 128, 824836.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., and A. Seifert, 2008: Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection. J. Meteor. Soc. Japan, 86A, 143162.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., and Coauthors, 2005: Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Wea. Rev., 133, 14431462.

    • Search Google Scholar
    • Export Citation
  • Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer Academic, 666 pp.

  • Sullivan, P. P., C. H. Moeng, B. Stevens, D. H. Lenschow, and S. D. Mayor, 1998: Structure of the entrainment zone capping the convective atmospheric boundary layer. J. Atmos. Sci., 55, 30423064.

    • Search Google Scholar
    • Export Citation
  • Suselj, K., and A. Sood, 2010: Improving Mellor–Yamada–Janjic parameterization for the wind conditions in the marine planetary boundary layer. Bound.-Layer Meteor., 136, 301324.

    • Search Google Scholar
    • Export Citation
  • Teixeira, J., and A. P. Siebesma, 2000: A mass-flux/K-diffusion approach to the parameterization of the convective boundary layer: Global model results. Proc. 14th Symp. on Boundary Layers and Turbulence, Aspen, CO, Amer. Meteor. Soc., 231–234.

    • Search Google Scholar
    • Export Citation
  • Teixeira, J., and S. Cheinet, 2004: A simple mixing length formulation for the eddy-diffusivity parameterization of dry convection. Bound.-Layer Meteor., 110, 435453.

    • Search Google Scholar
    • Export Citation
  • Teixeira, J., J. P. Ferreira, P. M. A. Miranda, T. Haack, J. Doyle, A. P. Siebesma, and R. Salgado, 2004: A new mixing-length formulation for the parameterization of dry convection: Implementation and evaluation in a mesoscale model. Mon. Wea. Rev., 132, 26982707.

    • Search Google Scholar
    • Export Citation
  • Vallis, G. K., 2006: Atmospheric and Oceanic Fluid Dynamics: Fundamentals and Large-Scale Circulation. Cambridge University Press, 745 pp.

    • Search Google Scholar
    • Export Citation
  • Wang, S., and B. A. Albrecht, 1990: A mean-gradient model of the dry convective boundary layer. J. Atmos. Sci., 47, 126138.

  • Wyngaard, J. C., 1992: Atmospheric turbulence. Annu. Rev. Fluid Mech., 24, 205233.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 509 198 11
PDF Downloads 295 108 14