Numerical Estimations of Horizontal Advection inside Canopies

Young-San Park Department of Land, Air, and Water Resources, University of California, Davis, Davis, California

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Kyaw Tha Paw U Department of Land, Air, and Water Resources, University of California, Davis, Davis, California

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Abstract

Local advection of scalar quantities such as heat, moisture, or carbon dioxide occurs not only above inhomogeneous surfaces but also within roughness elements on these surfaces. A two-dimensional advection–diffusion equation is applied to examine the fractionation of scalar exchange into horizontal advection within a canopy and vertical turbulent eddy transport at the canopy top. Simulations were executed with combinations of various wind speeds, eddy diffusivities, canopy heights, and source strengths. The results show that the vertical turbulent fluxes at the canopy top increase along the fetch and approach a limit at some downstream distance. The horizontal advection in the canopy is maximum at the edge of canopy and decreases exponentially along the fetch. All cases have the same features, except the absolute quantities depend on the environmental conditions. When the horizontal axis is normalized by using the dimensionless variable xK/uh2, horizontal diffusion is negligible, and the upwind concentration profile is constant, the curves of horizontal advection and vertical flux collapse into single, unique lines, respectively (x is the horizontal distance from the canopy edge, K is the eddy diffusivity, u is the wind speed, and h is the canopy height). The ratios of horizontal advection to the vertical turbulent flux also collapse into one universal curve when plotted against the dimensionless variable xK/uh2, irrespective of source strength. The ratio R shows a power-law relation to the dimensionless distance [R = a(xK/uh2)b, where a and b are constant].

Corresponding author address: Mr. Y.-S. Park, Atmospheric Science Program, Department of Land, Air, and Water Resources, University of California, Davis, One Shields Avenue, Davis, CA 95616. yspark@ucdavis.edu

Abstract

Local advection of scalar quantities such as heat, moisture, or carbon dioxide occurs not only above inhomogeneous surfaces but also within roughness elements on these surfaces. A two-dimensional advection–diffusion equation is applied to examine the fractionation of scalar exchange into horizontal advection within a canopy and vertical turbulent eddy transport at the canopy top. Simulations were executed with combinations of various wind speeds, eddy diffusivities, canopy heights, and source strengths. The results show that the vertical turbulent fluxes at the canopy top increase along the fetch and approach a limit at some downstream distance. The horizontal advection in the canopy is maximum at the edge of canopy and decreases exponentially along the fetch. All cases have the same features, except the absolute quantities depend on the environmental conditions. When the horizontal axis is normalized by using the dimensionless variable xK/uh2, horizontal diffusion is negligible, and the upwind concentration profile is constant, the curves of horizontal advection and vertical flux collapse into single, unique lines, respectively (x is the horizontal distance from the canopy edge, K is the eddy diffusivity, u is the wind speed, and h is the canopy height). The ratios of horizontal advection to the vertical turbulent flux also collapse into one universal curve when plotted against the dimensionless variable xK/uh2, irrespective of source strength. The ratio R shows a power-law relation to the dimensionless distance [R = a(xK/uh2)b, where a and b are constant].

Corresponding author address: Mr. Y.-S. Park, Atmospheric Science Program, Department of Land, Air, and Water Resources, University of California, Davis, One Shields Avenue, Davis, CA 95616. yspark@ucdavis.edu

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  • Arya, S. P. 2001. Introduction to Micrometeorology. Academic Press, 420 pp.

  • Aubinet, M., B. Heinesch, and M. Yernaux. 2003. Horizontal and vertical CO2 advection in a sloping forest. Bound.-Layer Meteor 108:397417.

    • Search Google Scholar
    • Export Citation
  • Baldocchi, D. D. 1997. Flux footprints within and over forest canopies. Bound.-Layer Meteor 85:273292.

  • Baldocchi, D. D. and K. S. Rao. 1995. Intra-field variability of scalar flux densities across a transition between a desert and an irrigated potato field. Bound.-Layer Meteor 76:109136.

    • Search Google Scholar
    • Export Citation
  • Baldocchi, D. D., J. J. Finnigan, K. B. Wilson, K. T. Paw U, and E. Falge. 2000. On measuring net ecosystem carbon exchange over tall vegetation on complex terrain. Bound.-Layer Meteor 96:257291.

    • Search Google Scholar
    • Export Citation
  • Campbell, G. S. and J. M. Norman. 1998. Introduction to Environmental Biophysics. Springer-Verlag, 286 pp.

  • Choudhury, B. J. and J. L. Monteith. 1988. A four-layer model for the heat-budget of homogeneous land surfaces. Quart. J. Roy. Meteor. Soc 114:373398.

    • Search Google Scholar
    • Export Citation
  • Csanady, G. T. 1973. Turbulent Diffusion in the Environment. D. Reidel, 248 pp.

  • Csanady, G. T. 1974. Diffusion and deposition of floating pollutants. Turbulent Diffusion in Environmental Pollution, F. N. Frenkiel and R. E. Munn, Eds. Academic Press, 371–381.

    • Search Google Scholar
    • Export Citation
  • Finn, D., B. Lamb, M. Y. Leclerc, and T. W. Horst. 1996. Experimental evaluation of analytical and Lagrangian surface-layer flux footprint models. Bound.-Layer Meteor 80:283308.

    • Search Google Scholar
    • Export Citation
  • Goulden, M. L., J. W. Munger, S-M. Fan, B. C. Daube, and S. C. Wofsy. 1996. Measurements of carbon sequestration by long-term eddy covariance: Methods and a critical evaluation of accuracy. Global Change Biol 2:169182.

    • Search Google Scholar
    • Export Citation
  • Grace, J., Y. Malhi, J. Lloyd, J. McIntyre, A. C. Miranda, P. Meir, and H. S. Miranda. 1996. The use of eddy covariance to infer the net carbon dioxide uptake of Brazilian rain forest. Global Change Biol 2:209217.

    • Search Google Scholar
    • Export Citation
  • Horst, T. W. and J. C. Weil. 1992. Footprint estimation for scalar flux measurements in the atmospheric surface-layer. Bound.-Layer Meteor 59:279296.

    • Search Google Scholar
    • Export Citation
  • Huang, C. H. 1979. A theory of dispersion in turbulent shear-flow. Atmos. Environ 13:453463.

  • Inoue, E. 1963. On the turbulent structure of airflow within crop canopies. J. Meteor. Soc. Japan 41:317326.

  • Itier, B., Y. Brunet, K. J. McAneney, and J. P. Lagouarde. 1994. Downwind evolution of scalar fluxes and surface resistance under conditions of local advection. Part I: A reappraisal of boundary conditions. Agric. For. Meteor 71:211225.

    • Search Google Scholar
    • Export Citation
  • Jarvis, P. G., J. Massheder, S. Hal, J. Moncrieff, M. Rayment, and S. Scott. 1997. Seasonal variation of carbon dioxide, water vapor and energy exchanges of a boreal black spruce forest. J. Geophys. Res 102:2895328967.

    • Search Google Scholar
    • Export Citation
  • Kroon, L. J. M. and H. A. R. de Bruin. 1995. The Crau field experiment: Turbulent exchange in the surface layer under conditions of strong local advection. J. Hydrol 166:327351.

    • Search Google Scholar
    • Export Citation
  • Lang, A. R. G., G. N. Evans, and P. Y. Ho. 1974. The influence of local advection on evapotranspiration from irrigated rice in a semi-arid region. Agric. Meteor 13:513.

    • Search Google Scholar
    • Export Citation
  • Lee, X. 1998. On micrometeorological observations of surface–air exchange over tall vegetation. Agric. For. Meteor 91:3949.

  • Lee, X. and T. A. Black. 1993. Atmospheric turbulence within and above a Douglas-fir stand. Part II. Eddy fluxes of sensible heat and water vapor. Bound.-Layer Meteor 64:369389.

    • Search Google Scholar
    • Export Citation
  • Lee, X. and X. Hu. 2002. Forest–air fluxes of carbon, water and energy over non-flat terrain. Bound.-Layer Meteor 103:277301.

  • Lin, J. S. and L. M. Hildemann. 1996. Analytical solutions of the atmospheric diffusion equation with multiple sources and height-dependent wind speed and eddy diffusivities. Atmos. Environ 30:239254.

    • Search Google Scholar
    • Export Citation
  • Mahrt, L. 1998. Flux sampling errors for aircraft and towers. J. Atmos. Oceanic Technol 15:416429.

  • McAneney, K. J., Y. Brunet, and B. Itier. 1994. Downwind evolution of transpiration by two irrigated crops under conditions of local advection. J. Hydrol 161:375388.

    • Search Google Scholar
    • Export Citation
  • Pasquill, F. 1974. Atmospheric Diffusion. John Wiley and Sons, 437 pp.

  • Paw U, K. T., D. D. Baldocchi, T. P. Meyers, and K. B. Wilson. 2000. Correction of eddy-covariance measurements incorporating both advective effects and density fluxes. Bound.-Layer Meteor 97:487511.

    • Search Google Scholar
    • Export Citation
  • Raupach, M. R. 1989. Stand overstorey processes. Philos. Trans. Roy. Soc. London 324:175186.

  • Schmid, H. P. 1994. Source areas for scalars and scalar fluxes. Bound.-Layer Meteor 67:293318.

  • Schuepp, P. H., M. Y. Leclerc, J. I. Macpherson, and R. L. Desjardins. 1990. Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation. Bound.-Layer Meteor 50:353373.

    • Search Google Scholar
    • Export Citation
  • Shuttleworth, W. J. and R. J. Gurney. 1990. The theoretical relationship between foliage temperature and canopy resistance in sparse crops. Quart. J. Roy. Meteor. Soc 116:497519.

    • Search Google Scholar
    • Export Citation
  • Thom, A. S. 1975. Momentum, mass and heat exchange of plant communities. Vegetation and the Atmosphere, Vol. 1, J. L. Monteith, Ed., Academic Press, 57–109.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. D., D. P. Ward, G. W. Thurtell, and G. E. Kidd. 1982. Statistics of atmospheric turbulence within and above a corn canopy. Bound.-Layer Meteor 24:495519.

    • Search Google Scholar
    • Export Citation
  • Yang, B. 2003. Large eddy simulation of turbulent flow across a forest edge. Ph.D. thesis, University of California, Davis, 184 pp.

  • Zeller, K. F. and N. T. Nikolov. 2000. Quantifying simultaneous fluxes of ozone, carbon dioxide and water vapor above a subalpine forest ecosystem. Environ. Pollut 107:120.

    • Search Google Scholar
    • Export Citation
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