On the Application of the Dynamic Smagorinsky Model to Large-Eddy Simulations of the Cloud-Topped Atmospheric Boundary Layer

M. P. Kirkpatrick Center for Turbulence Research, Stanford University, Stanford, California

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A. S. Ackerman NASA Ames Research Center, Moffett Field, California

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D. E. Stevens Lawrence Livermore National Laboratory, Livermore, California

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N. N. Mansour Center for Turbulence Research, Stanford University, Stanford, California

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Abstract

In this paper the dynamic Smagorinsky model originally developed for engineering flows is adapted for simulations of the cloud-topped atmospheric boundary layer in which an anelastic form of the governing equations is used. The adapted model accounts for local buoyancy sources, vertical density stratification, and poor resolution close to the surface and calculates additional model coefficients for the subgrid-scale fluxes of potential temperature and total water mixing ratio. Results obtained with the dynamic model are compared with those obtained using two nondynamic models for simulations of a nocturnal marine stratocumulus cloud deck observed during the first research flight of the second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) field experiment. The dynamic Smagorinsky model is found to give better agreement with the observations for all parameters and statistics. The dynamic model also gives improved spatial convergence and resolution independence over the nondynamic models. The good results obtained with the dynamic model appear to be due primarily to the fact that it calculates minimal subgrid-scale fluxes at the inversion. Based on other results in the literature, it is suggested that entrainment in the DYCOMS-II case is due predominantly to isolated mixing events associated with overturning internal waves. While the behavior of the dynamic model is consistent with this entrainment mechanism, a similar tendency to switch off subgrid-scale fluxes at an interface is also observed in a case in which gradient transport by small-scale eddies has been found to be important. This indicates that there may be problems associated with the application of the dynamic model close to flow interfaces. One issue here involves the plane-averaging procedure used to stabilize the model, which is not justified when the averaging plane intersects a deforming interface. More fundamental, however, is that the behavior may be due to insufficient resolution in this region of the flow. The implications of this are discussed with reference to both dynamic and nondynamic subgrid-scale models, and a new approach to turbulence modeling for large-eddy simulations is proposed.

* Current affiliation: School of Engineering, University of Tasmania, Tasmania, Australia

Corresponding author address: Michael Kirkpatrick, School of Engineering, Private Bag 65, University of Tasmania, Hobart, Tasmania 7001, Australia. Email: michael.kirkpatrick@utas.edu.au

Abstract

In this paper the dynamic Smagorinsky model originally developed for engineering flows is adapted for simulations of the cloud-topped atmospheric boundary layer in which an anelastic form of the governing equations is used. The adapted model accounts for local buoyancy sources, vertical density stratification, and poor resolution close to the surface and calculates additional model coefficients for the subgrid-scale fluxes of potential temperature and total water mixing ratio. Results obtained with the dynamic model are compared with those obtained using two nondynamic models for simulations of a nocturnal marine stratocumulus cloud deck observed during the first research flight of the second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) field experiment. The dynamic Smagorinsky model is found to give better agreement with the observations for all parameters and statistics. The dynamic model also gives improved spatial convergence and resolution independence over the nondynamic models. The good results obtained with the dynamic model appear to be due primarily to the fact that it calculates minimal subgrid-scale fluxes at the inversion. Based on other results in the literature, it is suggested that entrainment in the DYCOMS-II case is due predominantly to isolated mixing events associated with overturning internal waves. While the behavior of the dynamic model is consistent with this entrainment mechanism, a similar tendency to switch off subgrid-scale fluxes at an interface is also observed in a case in which gradient transport by small-scale eddies has been found to be important. This indicates that there may be problems associated with the application of the dynamic model close to flow interfaces. One issue here involves the plane-averaging procedure used to stabilize the model, which is not justified when the averaging plane intersects a deforming interface. More fundamental, however, is that the behavior may be due to insufficient resolution in this region of the flow. The implications of this are discussed with reference to both dynamic and nondynamic subgrid-scale models, and a new approach to turbulence modeling for large-eddy simulations is proposed.

* Current affiliation: School of Engineering, University of Tasmania, Tasmania, Australia

Corresponding author address: Michael Kirkpatrick, School of Engineering, Private Bag 65, University of Tasmania, Hobart, Tasmania 7001, Australia. Email: michael.kirkpatrick@utas.edu.au

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  • Ackerman, A. S., M. P. Kirkpatrick, D. E. Stevens, and O. B. Toon, 2004: The impact of humidity above stratiform clouds on indirect aerosol climate forcing. Nature, 432 , 1014–1017.

    • Search Google Scholar
    • Export Citation
  • Boivin, M., O. Simonin, and K. D. Squires, 2000: On the prediction of gas-solid flows with two-way coupling using large eddy simulation. Phys. Fluids, 12 , 2080–2090.

    • Search Google Scholar
    • Export Citation
  • Branley, N., and W. P. Jones, 2001: Large eddy simulation of a turbulent non-premixed flame. Combust. Flame, 127 , 1914–1934.

  • 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.

    • Search Google Scholar
    • Export Citation
  • Bretherton, C. S., and Coauthors, 1999: An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud; as simulated by different numerical models. Quart. J. Roy. Meteor. Soc., 125 , Part B,. 391–423.

    • Search Google Scholar
    • Export Citation
  • Brown, A. R., J. M. Hobson, and N. Wood, 2001: Large-eddy simulation of neutral turbulent flow over rough sinusoidal ridges. Bound.-Layer Meteor., 98 , 411–441.

    • Search Google Scholar
    • Export Citation
  • Carati, D., G. S. Winckelmans, and H. Jeanmart, 2001: On the modelling of the subgrid-scale and filtered-scale stress tensors in large-eddy simulation. J. Fluid Mech., 441 , 119–138.

    • Search Google Scholar
    • Export Citation
  • Cederwall, R. T., 2002: Large-eddy simulation of the evolving stable boundary layer over flat terrain. Ph.D. thesis, Stanford University, 231 pp.

  • Chow, F. K., R. L. Street, M. Xue, and J. H. Ferziger, 2005: Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J. Atmos. Sci., 62 , 2058–2077.

    • Search Google Scholar
    • Export Citation
  • Clark, T. L., 1979: Numerical simulations with a three-dimensional cloud model: Lateral boundary condition experiments and multicellular severe storm simulations. J. Atmos. Sci., 36 , 2191–2215.

    • Search Google Scholar
    • Export Citation
  • Deardorff, J. W., 1980: Stratocumulus-capped mixed layers derived from a three-dimensional model. Bound.-Layer Meteor., 18 , 495–527.

    • Search Google Scholar
    • Export Citation
  • Esau, I., 2004: Simulation of Ekman boundary layers by large eddy simulation model with dynamic mixed subfilter closure. Environ. Fluid Mech., 4 , 273–303.

    • Search Google Scholar
    • Export Citation
  • Fernando, H. J. S., and J. C. R. Hunt, 1997: Turbulence, waves and mixing at shear-free density interfaces. Part 1. A theoretical model. J. Fluid Mech., 347 , 197–234.

    • Search Google Scholar
    • Export Citation
  • Germano, M., U. Piomelli, P. Moin, and W. H. Cabot, 1991: A dynamic subgrid-scale eddy viscosity model. Phys. Fluids A, 3 , 1760–1765.

    • Search Google Scholar
    • Export Citation
  • Ghosal, S., and P. Moin, 1995: The basic equations for the large eddy simulation of turbulent flows in complex geometry. J. Comput. Phys., 118 , 24–37.

    • Search Google Scholar
    • Export Citation
  • Kirkpatrick, M. P., and S. W. Armfield, 2005: Experimental and large eddy simulation results for the purging of salt water from a cavity by an overflow of fresh water. Int. J. Heat Mass Transfer, 48 , 341–359.

    • Search Google Scholar
    • Export Citation
  • Kirkpatrick, M. P., N. N. Mansour, A. S. Ackerman, and D. E. Stevens, 2003: Dynamic turbulence modelling in large-eddy simulations of the cloud-topped atmospheric boundary layer. CTR Annual Research Briefs, Center for Turbulence Research.

  • Kosović, B., 1997: Subgrid-scale modelling for the large-eddy simulation of high-Reynolds-number boundary layers. J. Fluid Mech., 336 , 151–182.

    • 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 III: Simulations of clear and cloudy convection. J. Atmos. Sci., 58 , 2052–2072.

    • Search Google Scholar
    • Export Citation
  • Lilly, D. K., 1962: On the numerical simulation of buoyant convection. Tellus, 14 , 148–172.

  • Lilly, D. K., 1992: A proposed modification of the Germano subgrid scale closure method. Phys. Fluids A, 4 , 633–635.

  • Linden, P. F., 1973: The interaction of vortex rings with a sharp density interface: A model for turbulent entrainment. J. Fluid Mech., 60 , 467–480.

    • Search Google Scholar
    • Export Citation
  • MacVean, M. K., and P. J. Mason, 1990: Cloud top entrainment instability through small-scale mixing and its parameterization in numerical models. J. Atmos. Sci., 47 , 1012–1030.

    • Search Google Scholar
    • Export Citation
  • Mason, P. J., 1985: A numerical study of cloud streets in the planetary boundary-layer. Bound.-Layer Meteor., 32 , 281–304.

  • Mason, P. J., 1989: Large-eddy simulation of the convective atmospheric boundary-layer. J. Atmos. Sci., 46 , 1492–1516.

  • Mason, P. J., 1994: Large-eddy simulation: A critical review of the technique. Quart. J. Roy. Meteor. Soc., 120 , Part A,. 1–26.

  • Mason, P. J., and D. J. Thomson, 1992: Stochastic backscatter in large-eddy simulations of boundary-layers. J. Fluid Mech., 242 , 51–78.

    • Search Google Scholar
    • Export Citation
  • McGrath, J. L., H. J. S. Fernando, and J. C. R. Hunt, 1997: Turbulence, waves and mixing at shear-free density interfaces. 2. Laboratory experiments. J. Fluid Mech., 347 , 235–261.

    • Search Google Scholar
    • Export Citation
  • Moeng, C. H., 1984: A large-eddy-simulation model for the study of planetary boundary-layer turbulence. J. Atmos. Sci., 41 , 2052–2062.

    • Search Google Scholar
    • Export Citation
  • Ogura, Y., and N. Phillips, 1962: Scale analysis of deep and shallow convection in the atmosphere. J. Atmos. Sci., 19 , 173–179.

  • Piomelli, U., and J. Liu, 1995: Large eddy simulation of rotating channel flows using a localized dynamic model. Phys. Fluids, 7 , 839–848.

    • Search Google Scholar
    • Export Citation
  • Porté-Agel, F., C. Meneveau, and M. B. Parlange, 2000: A scale-dependent dynamic model for large-eddy simulation: Application to a neutral atmospheric boundary layer. J. Fluid Mech., 415 , 261–284.

    • Search Google Scholar
    • Export Citation
  • Schumann, U., 1975: Subgrid scale model for finite difference simulation of turbulent flows in plane channels and annuli. J. Comput. Phys., 18 , 376–404.

    • Search Google Scholar
    • Export Citation
  • Scotti, A., C. Meneveau, and M. Fatica, 1997: Dynamic Smagorinsky model on anisotropic grids. Phys. Fluids, 9 , 1856–1858.

  • Smagorinsky, J., 1963: General circulation experiments with the primitive equations. I. The basic experiment. Mon. Wea. Rev., 91 , 99–164.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., 2000: Cloud-transitions and decoupling in shear-free stratocumulus topped boundary layers. Geophys. Res. Lett., 27 , 2557–2560.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., and Coauthors, 2001: Simulations of trade wind cumuli under a strong inversion. J. Atmos. Sci., 58 , 1870–1891.

  • Stevens, B., and Coauthors, 2003a: Dynamics and chemistry of marine stratocumulus—DYCOMS-II. Bull. Amer. Meteor. Soc., 84 , 579–593.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., and Coauthors, 2003b: On entrainment rates in nocturnal marine stratocumulus. Quart. J. Roy. Meteor. Soc., 129 , 3469–3492.

    • 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 , 1443–1462.

    • Search Google Scholar
    • Export Citation
  • Stevens, D. E., and C. S. Bretherton, 1996: A forward-in-time advection scheme and adaptive multilevel flow solver for nearly incompressible atmospheric flow. J. Comput. Phys., 129 , 284–295.

    • Search Google Scholar
    • Export Citation
  • Stevens, D. E., J. B. Bell, A. S. Almgren, V. E. Beckner, and C. A. Rendleman, 2000: Small-scale processes and entrainment in a stratocumulus marine boundary layer. J. Atmos. Sci., 57 , 567–581.

    • Search Google Scholar
    • Export Citation
  • Stevens, D. E., A. S. Ackerman, and C. S. Bretherton, 2002: Effects of domain size and numerical resolution on the simulation of shallow cumulus convection. J. Atmos. Sci., 59 , 3285–3301.

    • Search Google Scholar
    • Export Citation
  • Sullivan, P., and C. H. Moeng, 1992: An evaluation of the dynamic subgrid scale model in buoyancy driven flows. Preprints, 10th Symp. on Turbulence and Diffusion, Portland, OR, Amer. Meteor. Soc., 82–87.

  • Sullivan, P., J. C. McWilliams, and C. H. Moeng, 1994: A subgrid-scale model for large-eddy-simulation of planetary boundary-layer flows. Bound.-Layer Meteor., 71 , 247–276.

    • Search Google Scholar
    • Export Citation
  • Wyant, M. C., C. S. Bretherton, H. A. Rand, and D. E. Stevens, 1997: Numerical simulations and a conceptual model of the stratocumulus to trade cumulus transition. J. Atmos. Sci., 54 , 168–192.

    • Search Google Scholar
    • Export Citation
  • Zang, Y., R. Street, and J. R. Koseff, 1993: A dynamic mixed subgrid-scale model and its application to recirculating flows. Phys. Fluids A, 5 , 3186–3196.

    • Search Google Scholar
    • Export Citation
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