Impact of Surface Flux Formulations and Geostrophic Forcing on Large-Eddy Simulations of Diurnal Atmospheric Boundary Layer Flow

Vijayant Kumar Department of Geography and Environmental Engineering, The Johns Hopkins University, Baltimore, Maryland

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Gunilla Svensson Department of Meteorology, Stockholm University, Stockholm, Sweden

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A. A. M. Holtslag Meteorology and Air Quality Group, Wageningen University, Wageningen, Netherlands

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Charles Meneveau Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, Maryland

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Marc B. Parlange School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

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Abstract

The impact of surface flux boundary conditions and geostrophic forcing on multiday evolution of flow in the atmospheric boundary layer (ABL) was assessed using large-eddy simulations (LES). The LES investigations included several combinations of surface boundary conditions (temperature and heat flux) and geostrophic forcing (constant, time varying, time and height varying). The setup was based on ABL characteristics observed during a selected period of the Cooperative Atmosphere–Surface Exchange Study—1999 (CASES-99) campaign. The LES cases driven by a constant geostrophic wind achieved the best agreement with the CASES-99 observations specifically in terms of daytime surface fluxes and daytime and nighttime profiles. However, the nighttime fluxes were significantly overestimated. The LES cases with the surface temperature boundary condition and driven by a time- and height-varying geostrophic forcing showed improved agreement with the observed nighttime fluxes, but there was less agreement with other observations (e.g., daytime profiles). In terms of the surface boundary condition, the LES cases driven by either surface temperature or heat fluxes produced similar trends in terms of the daytime profiles and comparisons with data from soundings. However, in reproducing the fluxes and nighttime profiles, the agreement was better with imposed temperature because of its ability to interact dynamically with the air temperature field. Therefore, it is concluded that surface temperature boundary condition is better suited for simulations of temporally evolving ABL flow as in the diurnal evolution of the ABL.

Corresponding author address: Vijayant Kumar, 4701 Monterey Oaks Blvd., Apt. 2310, Austin, TX 78749. Email: vijayant@gmail.com

Abstract

The impact of surface flux boundary conditions and geostrophic forcing on multiday evolution of flow in the atmospheric boundary layer (ABL) was assessed using large-eddy simulations (LES). The LES investigations included several combinations of surface boundary conditions (temperature and heat flux) and geostrophic forcing (constant, time varying, time and height varying). The setup was based on ABL characteristics observed during a selected period of the Cooperative Atmosphere–Surface Exchange Study—1999 (CASES-99) campaign. The LES cases driven by a constant geostrophic wind achieved the best agreement with the CASES-99 observations specifically in terms of daytime surface fluxes and daytime and nighttime profiles. However, the nighttime fluxes were significantly overestimated. The LES cases with the surface temperature boundary condition and driven by a time- and height-varying geostrophic forcing showed improved agreement with the observed nighttime fluxes, but there was less agreement with other observations (e.g., daytime profiles). In terms of the surface boundary condition, the LES cases driven by either surface temperature or heat fluxes produced similar trends in terms of the daytime profiles and comparisons with data from soundings. However, in reproducing the fluxes and nighttime profiles, the agreement was better with imposed temperature because of its ability to interact dynamically with the air temperature field. Therefore, it is concluded that surface temperature boundary condition is better suited for simulations of temporally evolving ABL flow as in the diurnal evolution of the ABL.

Corresponding author address: Vijayant Kumar, 4701 Monterey Oaks Blvd., Apt. 2310, Austin, TX 78749. Email: vijayant@gmail.com

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  • Albertson, J. D., and M. B. Parlange, 1999a: Natural integration of scalar fluxes from complex terrain. Adv. Water Resour., 23 , 239252.

    • Search Google Scholar
    • Export Citation
  • Albertson, J. D., and M. B. Parlange, 1999b: Surface length-scales and shear stress: Implications for land–atmosphere interaction over complex terrain. Water Resour. Res., 35 , 21212132.

    • Search Google Scholar
    • Export Citation
  • Andrén, A., A. R. Brown, J. Graf, P. J. Mason, C-H. Moeng, F. T. M. Nieuwstadt, and U. Schumann, 1994: Large-eddy simulation of a neutrally stratified boundary layer: A comparison of four computer codes. Quart. J. Roy. Meteor. Soc., 120 , 14571484.

    • Search Google Scholar
    • Export Citation
  • Basu, S., and F. Porte-Agel, 2006: Large-eddy simulation of stably stratified atmospheric boundary layer turbulence: A scale-dependent dynamic modeling approach. J. Atmos. Sci., 63 , 20742091.

    • Search Google Scholar
    • Export Citation
  • Basu, S., A. A. M. Holtslag, B. J. H. van de Wiel, A. F. Moene, and G. J. Steeneveld, 2008: An inconvenient “truth” about using sensible heat flux as a surface boundary condition in models under stably stratified regimes. Acta Geophys., 56 , 8899.

    • Search Google Scholar
    • Export Citation
  • Beare, R. J., and M. K. MacVean, 2004: Resolution sensitivity and scaling of large-eddy simulations of the stable boundary layer. Bound.-Layer Meteor., 112 , 257281.

    • Search Google Scholar
    • Export Citation
  • Beare, R. J., and Coauthors, 2006: An intercomparison of large-eddy simulations of the stable boundary layer. Bound.-Layer Meteor., 118 , 247272.

    • Search Google Scholar
    • Export Citation
  • Beljaars, A. C. M., and P. Viterbo, 1998: The role of the boundary layer in a numerical weather prediction model. Clear and Cloudy Boundary Layers, A. A. M. Holtslag and P. G. Duynkerke, Eds., Royal Netherlands Academy of Arts and Sciences, 287–304.

    • Search Google Scholar
    • Export Citation
  • Bou-Zeid, E., C. Meneveau, and M. B. Parlange, 2005: A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows. Phys. Fluids, 17 , 025105. doi:10.1063/1.1839152.

    • Search Google Scholar
    • Export Citation
  • Chamecki, M., C. Meneveau, and M. Parlange, 2009: Large eddy simulation of pollen transport in the atmospheric boundary layer. Aerosol Sci., AS432 , 241255.

    • Search Google Scholar
    • Export Citation
  • Cheng, Y., and W. Brutsaert, 2005: Flux-profile relationships for wind speed and temperature in the stable atmospheric boundary layer. Bound.-Layer Meteor., 114 , 519538.

    • Search Google Scholar
    • Export Citation
  • Cuxart, J., and Coauthors, 2006: Single-column model intercomparison for a stably stratified atmospheric boundary layer. Bound.-Layer Meteor., 118 , 273303.

    • Search Google Scholar
    • Export Citation
  • Derbyshire, S. H., 1999: Stable boundary-layer modelling: Established approaches and beyond. Bound.-Layer Meteor., 90 , 423446.

  • Hicks, B. B., 1976: Wind profile relationships from the Wangara experiments. Quart. J. Roy. Meteor. Soc., 102 , 535551.

  • Hodur, R. M., 1997: The Naval Research Laboratory’s Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125 , 14141430.

    • Search Google Scholar
    • Export Citation
  • Högström, U., 1987: Non-dimensional wind and temperature profiles in the atmospheric surface layer: A re-evaluation. Bound.-Layer Meteor., 42 , 5578.

    • Search Google Scholar
    • Export Citation
  • Holtslag, A. A. M., and H. A. R. De Bruin, 1988: Applied modeling of the nighttime surface energy balance over land. J. Appl. Meteor., 27 , 689704.

    • Search Google Scholar
    • Export Citation
  • Holtslag, A. A. M., G. J. Steeneveld, and B. J. H. van de Wiel, 2007: Role of land surface temperature feedback on model performance for stable boundary layers. Bound.-Layer Meteor., 125 , 361376.

    • Search Google Scholar
    • Export Citation
  • Kleissl, J., V. Kumar, C. Meneveau, and M. B. Parlange, 2006: Numerical study of dynamic Smagorinsky models in large-eddy simulation of the atmospheric boundary layer: Validation in stable and unstable conditions. Water Resour. Res., 42 , W06D10. doi:10.1029/2005WR004685.

    • Search Google Scholar
    • Export Citation
  • Kosović, B., and J. A. Curry, 2000: A large eddy simulation study of a quasi-steady, stably stratified atmospheric boundary layer. J. Atmos. Sci., 57 , 10571068.

    • Search Google Scholar
    • Export Citation
  • Kumar, V., J. Kleissl, C. Meneveau, and M. B. Parlange, 2006: Large-eddy simulation of a diurnal cycle of the atmospheric boundary layer: Atmospheric stability and scaling issues. Water Resour. Res., 42 , W06D09. doi:10.1029/2005WR004651.

    • Search Google Scholar
    • Export Citation
  • Mason, P. J., and S. H. Derbyshire, 1990: Large eddy simulation of the stably-stratified atmospheric boundary layer. Bound.-Layer Meteor., 53 , 117162.

    • 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 , 20522062.

  • Nieuwstadt, F. T. M., P. J. Mason, C-H. Moeng, and U. Schumann, 1991: Large-eddy simulation of the convective boundary layer: A comparison of four computer codes. Turbul. Shear Flows, 8 , 343367.

    • 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 , 261284.

    • Search Google Scholar
    • Export Citation
  • Poulos, G. S., and Coauthors, 2002: CASES-99: A comprehensive investigation of the stable nocturnal boundary layer. Bull. Amer. Meteor. Soc., 83 , 555581.

    • Search Google Scholar
    • Export Citation
  • Saiki, E., C-H. Moeng, and P. Sullivan, 2000: Large-eddy simulation of the stably stratified planetary boundary layer. Bound.-Layer Meteor., 95 , 130.

    • Search Google Scholar
    • Export Citation
  • 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
  • Steeneveld, G. J., B. J. H. van de Wiel, and A. A. M. Holtslag, 2006: Modeling the evolution of the atmospheric boundary layer coupled to the land surface for three contrasting nights in CASES-99. J. Atmos. Sci., 63 , 920935.

    • Search Google Scholar
    • Export Citation
  • Svensson, G., and A. A. M. Holtslag, 2006: Single column modeling of the diurnal cycle based on CASES99 data–GABLS second intercomparison project. Preprints, 17th Symp. on Boundary Layers and Turbulence, San Diego, CA, Amer. Meteor. Soc., 8.1. [Available online at http://ams.confex.com/ams/pdfpapers/110758.pdf].

    • Search Google Scholar
    • Export Citation
  • Svensson, G., and A. A. M. Holtslag, 2007: The diurnal cycle–GABLS second intercomparison project. Gewex News, No. 17, International GEWEX Project Office, Silver Spring, MD, 9–10.

    • Search Google Scholar
    • Export Citation
  • Yue, W., M. Parlange, C. Meneveau, W. Zhu, R. van Hout, and J. Katz, 2007: Large-eddy simulation of plant canopy flows using plant-scale representation. Bound.-Layer Meteor., 124 , 184203.

    • Search Google Scholar
    • Export Citation
  • Yue, W., M. Parlange, C. Meneveau, W. Zhu, R. van Hout, and J. Katz, 2008: Turbulent kinetic energy budgets in a model canopy: Comparisons between LES and wind-tunnel experiments. Environ. Fluid Mech., 8 , 7395.

    • Search Google Scholar
    • Export Citation
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