An LES Study of the Impacts of Land Surface Heterogeneity on Dispersion in the Convective Boundary Layer

S. G. Gopalakrishnan Center for Environmental Prediction, Department of Environmental Science, Cook College, Rutgers–The State University, New Brunswick, New Jersey

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Roni Avissar Center for Environmental Prediction, Department of Environmental Science, Cook College, Rutgers–The State University, New Brunswick, New Jersey

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Abstract

A systematic analysis of the impacts of heat patches and topographical features on the dispersion of passive materials in a shear-free convective boundary layer (CBL) was performed. Large eddy simulations and a Lagrangian particle dispersion model were used for that purpose. Over a homogeneous, flat terrain, the dispersion statistics produced by the model are in agreement with convection tank data and other model results. The horizontal pressure gradients created by surface heat flux heterogeneities generate atmospheric circulations, which impede vertical mixing and, as a result, have a remarkable influence on particle dispersion in the CBL. For a near-surface release, the particles are advected horizontally rather than “lifted-off,” maintaining a high concentration near the ground surface. Particles released at higher elevations reach the ground surface more slowly than when released above a flat, homogeneous domain. In a shear-free CBL, hilly terrain has little impact on lift-off, dimensionless crosswind-integrated concentration, mean particle height, particle spread, and near-ground-level concentration of particles released near the ground surface. This is true even with hills as high as 25% of the height of the CBL. However, it has a noticeable effect on the dispersion statistics of particles released from higher elevations. In particular, the locus of the maximum in crosswind-integrated concentration of particles released from a source located about 25% of the height of the CBL descends to the surface of an even moderate hill noticeably slower than above a flat, homogeneous domain.

* Current affiliation: Center for Atmospheric Physics, Science Applications International Corporation, McLean, Virginia.

Corresponding author address: Prof. Roni Avissar, Dept. of Environmental Science, Cook College, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551.

Abstract

A systematic analysis of the impacts of heat patches and topographical features on the dispersion of passive materials in a shear-free convective boundary layer (CBL) was performed. Large eddy simulations and a Lagrangian particle dispersion model were used for that purpose. Over a homogeneous, flat terrain, the dispersion statistics produced by the model are in agreement with convection tank data and other model results. The horizontal pressure gradients created by surface heat flux heterogeneities generate atmospheric circulations, which impede vertical mixing and, as a result, have a remarkable influence on particle dispersion in the CBL. For a near-surface release, the particles are advected horizontally rather than “lifted-off,” maintaining a high concentration near the ground surface. Particles released at higher elevations reach the ground surface more slowly than when released above a flat, homogeneous domain. In a shear-free CBL, hilly terrain has little impact on lift-off, dimensionless crosswind-integrated concentration, mean particle height, particle spread, and near-ground-level concentration of particles released near the ground surface. This is true even with hills as high as 25% of the height of the CBL. However, it has a noticeable effect on the dispersion statistics of particles released from higher elevations. In particular, the locus of the maximum in crosswind-integrated concentration of particles released from a source located about 25% of the height of the CBL descends to the surface of an even moderate hill noticeably slower than above a flat, homogeneous domain.

* Current affiliation: Center for Atmospheric Physics, Science Applications International Corporation, McLean, Virginia.

Corresponding author address: Prof. Roni Avissar, Dept. of Environmental Science, Cook College, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551.

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  • André, J. C., P. Bougeault, and J. P. Goutorbe, 1990: Regional estimates of heat and evaporation fluxes over non-homogeneous terrain. Examples from the HAPEX-MOBILHY programme. Bound.-Layer Meteor.,50, 77–108.

  • Avissar, R., and R. A. Pielke, 1989: A parameterization of heterogeneous land-surface for atmospheric numerical models and its impact on regional meteorology. Mon. Wea. Rev.,117, 2113–2136.

  • ———, and F. Chen, 1993: Development and analysis of prognostic equations for mesoscale kinetic energy and mesoscale (subgrid scale) fluxes for large-scale atmospheric models. J. Atmos. Sci.,50, 3751–3774.

  • ——, and Y. Liu, 1996: Sensitivity of shallow convective precipitation induced by land surface heterogeneities to dynamical and cloud microphysical parameters. J. Geophys. Res.,101, 7477–7497.

  • ——, and T. Schmidt, 1998: An evaluation of the scale at which ground-surface heat flux patchiness affects the convective boundary layer using large-eddy simulations. J. Atmos. Sci.,55, 2666–2689.

  • ——, E. W. Eloranta, K. Gurer, and G. J. Tripoli, 1998: An evaluation of the large-eddy simulation option of the the Regional Atmospheric Modeling System (RAMS) in simulating a convective boundary layer: A FIFE case study. J. Atmos. Sci.,55, 109–130.

  • Briggs, G. A., 1993: Plume dispersion in the convective boundary layer. Part II: Analyses of CONDORS field experiment data. J. Appl. Meteor.,32, 1388–1425.

  • Chen, F., and R. Avissar, 1994: Impact of land-surface moisture variability on local shallow convective cumulus and precipitation in large-scale models. J. Appl. Meteor.,33, 1382–1401.

  • Clark, T. L., 1977: A small-scale dynamic model using a terrain-following coordinate transformation. J. Comput. Phys.,24, 186–215.

  • Deardorff, J. W., 1972: Numerical investigation of neutral and unstable planetary boundary layers. J. Atmos. Sci.,29, 91–115.

  • ——, 1974: Three-dimensional study of the height and mean structure of a heated planetary boundary layer. Bound.-Layer Meteor.,7, 81–106.

  • ——, 1980: Stratocumulus-capped mixed layers derived from a three-dimensional model. Bound.-Layer Meteor.,18, 495–527.

  • de Bass, A. F., H. van Dop, and F. T. M. Niewstadt, 1986: An application of the Langevin equation for inhomogeneous conditions to dispersion in a convective boundary layer. Quart. J. Roy. Meteor. Soc.,112, 165–180.

  • Gal-Chen, T., and R. C. J. Somerville, 1975: On the use of coordinate transformation for the solution of the Navier–Stokes equations. J. Comput. Phys.,17, 209–228.

  • Gopalakrishnan, S. G., and M. Sharan, 1997: A Lagrangian particle model for marginally heavy gas dispersion. Atmos. Environ.,31, 3369–3382.

  • ——, S. Baidya Roy, and R. Avissar, 2000: An evaluation of the scale at which topographical features affect the convective boundary layer using large eddy simulations. J. Atmos. Sci.,56, 334–371.

  • Hadfield, M. G., W. R. Cotton, and R. A. Pielke, 1991: Large-eddy simulations of thermally forced circulation in the convective boundary layer. Part II: The effect of changes in wavelength and wind speed. Bound.-Layer Meteor.,58, 307–327.

  • Hechtel, L. M., C. H. Moeng, and R. B. Stull, 1990: The effects of nonhomogeneous surface fluxes on the convective boundary layer: A case study using large-eddy simulation. J. Atmos. Sci.,47, 1721–1741.

  • 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.

  • ——, 1984: Diffusion in the convective boundary layer. Atmospheric Turbulence and Air Pollution Modeling, F. T. M. Nieuwstadt and H. van Dop, Eds., D. Reidel, 69–106.

  • Legg, B. J., and M. R. Raupach, 1982: Markov-chain simulation of particle dispersion in inhomogeneous flows: The mean drift velocity induced by a gradient in Eulerian velocity variance. Bound.-Layer Meteor.,24, 3–13.

  • Louis, J. F., 1979: A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor.,17, 187–202.

  • Luhar, A. K., and R. E. Britter, 1989: A random walk model for dispersion in inhomogeneous turbulence in a convective boundary layer. Atmos. Environ.,23, 1911–1924.

  • Lynn, B. H., F. Abramopolous, and R. Avissar, 1995: Using similarity theory to parameterize mesoscale heat fluxes generated by subgrid-scale landscape discontinuities in GCMs. J. Climate,8, 932–951.

  • Moeng, C.-H., and J. C. Wyngaard, 1988: Spectral analysis of large-eddy simulations of the convective boundary layer. J. Atmos. Sci.,45, 3573–3587.

  • Ookouchi, Y., M. Segal, R. C. Kessler, and R. A. Pielke, 1984: Evaluation of soil moisture effects on the generation and modification of mesoscale circulations. Mon. Wea. Rev.,112, 2281–2292.

  • Pielke, R. A., G. A. Dalu, J. S. Snook, T. J. Lee, and T. G. F. Kittel, 1991: Nonlinear influence of mesoscale land use on weather and climate. J. Climate,4, 1053–1069.

  • ——, and Coauthors, 1992: A comprehensive meteorological modeling system—RAMS. Meteor. Atmos. Phys.,49, 69–91.

  • Sawford, B. L., and F. M. Guest, 1987: Lagrangian stochastic analysis of flux gradient relationships in the convective boundary layer. J. Atmos. Sci.,44, 1152–1165.

  • Segal, M., and R. W. Arritt, 1992: Nonclassical mesoscale circulations caused by surface sensible heat-flux gradients. Bull. Amer. Meteor. Soc.,73, 1593–1604.

  • ——, R. Avissar, M. C. McCumber, and R. A. Pielke, 1988: Evaluation of vegetation effects on the generation and modification of mesoscale circulations. J. Atmos. Sci.,45, 2268–2292.

  • Uliasz, M., 1993: The atmospheric mesoscale dispersion modeling system (MDMS). J. Appl. Meteor.,32, 139–149.

  • Walko, R. L., W. R. Cotton, and R. A. Pielke, 1992: Large-eddy simulations of the effects of hilly terrain on the convective boundary layer. Bound.-Layer Meteor.,58, 133–150.

  • Weil, J. C., 1990: A diagnosis of the asymmetry in top-down and bottom-up diffusion using a Lagrangian stochastic model. J. Atmos. Sci.,47, 501–515.

  • Willis, G. E., and J. W. Deardorff, 1974: A laboratory model of the unstable planetary boundary layer. J. Atmos. Sci.,31, 1297–1307.

  • ——, and ——, 1976: A laboratory model of diffusion into the convective planetary boundary. Quart. J. Roy. Meteor. Soc.,102, 427–445.

  • ——, and ——, 1978: A laboratory study of dispersion from an elevated source within a modeled convective boundary layer. Atmos. Environ.,12, 1305–1311.

  • ——, and ——, 1981: A laboratory study of dispersion from a source in the middle of the convective boundary layer. Atmos. Environ.,15, 109–117.

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