Skip to main content
Log in

Numerical Study of the Response of an Atmospheric Surface Layer to a Spatially Nonuniform Plant Canopy

  • Original Paper
  • Published:
Boundary-Layer Meteorology Aims and scope Submit manuscript

Abstract

High-accuracy large-eddy simulations of neutral atmospheric surface-layer flow over a gapped plant canopy strip have been performed. Subgrid-scale (SGS) motions are parameterized by the Sagaut mixed length SGS model, with a modification to compute the SGS characteristic length self-adaptively. Shaw’s plant canopy model, taking the vertical variation of leaf area density into account, is applied to study the response of the atmospheric surface layer to the gapped dense forest strip. Differences in the region far away from the gap and in the middle of the gap are investigated, according to the instantaneous velocity magnitude, the zero-plane displacement, the potential temperature and the streamlines. The large-scale vortex structure, in the form of a roll vortex, is revealed in the region far away from the gap. The nonuniform spatial distribution of plants appears to cause the formation of the coherent structure. The roll vortex starts in the wake of the canopy, and results in strong fluctuations throughout the entire canopy region. Wind sweeps and ejections in the plant canopy are also attributed to the large vortex structure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Baldocchi DD, Meyers TP (1988) Turbulence structure in a deciduous forest. Boundary-Layer Meteorol 43: 345–364

    Article  Google Scholar 

  • Belcher SE, Jerram N, Hunt JCR (2003) Adjustment of a turbulent boundary layer to a canopy of roughness elements. J Fluid Mech 488: 369–398

    Article  Google Scholar 

  • Businger JA, Wyngaard JC, Izumi Y, Bradley EF (1971) Flux-profile relationships in the atmospheric surface layer. J Atmos Sci 28: 181–189

    Article  Google Scholar 

  • Dwyer MJ, Patton EG, Shaw RH (1997) Turbulent kinetic energy budgets from a large-eddy simulation of airflow above and within a forest canopy. Boundary-Layer Meteorol 84: 23–43

    Article  Google Scholar 

  • Ferziger JH (1981) Higher level simulations of turbulent flows. TF-16, Standford Univ.

  • Finnigan J (2000) Turbulence in plant canopies. Annu Rev Fluid Mech 32: 519–571

    Article  Google Scholar 

  • Gao W, Shaw RH, Paw UKT (1989) Observation of organized structure in turbulent flow within and above a forest canopy. Boundary-Layer Meteorol 47: 349–377

    Article  Google Scholar 

  • Hogstrom U, Bergstrom H, Smedman AS, Halldin S, Lindroth A (1989) Turbulent exchange above a pine forest, I: fluxes and gradients. Boundary-Layer Meteorol 49: 197–217

    Article  Google Scholar 

  • Jiang GS, Shu CW (1996) Efficient implementation of weighted ENO schemes. J Comput Phys 126: 202–228

    Article  Google Scholar 

  • Lenormand E, Sagaut P, Ta PL, Comte P (2000) Subgrid-scale models for large-eddy simulations of compressible wall bounded flows. AIAA J 38: 1340–1350

    Article  Google Scholar 

  • Li JC, Xie ZT (1999) Large-eddy simulation for canopy turbulent flow. Acta Mech Sin 31: 406–414

    Google Scholar 

  • Lilly DK (1967) The representation of small-scale turbulence in numerical simulation experiments. Proceedings of the tenth IBM scientific computing symposium on environmental sciences, IBM Form No. 320–1951, 195–210

  • Lopes da Costa JC, Castro FA, Palma JMLM, Stuart P (2006) Computer simulation of atmospheric flows over real forests for wind energy resource evaluation. J Wind Eng Ind Aerod 94: 603–620

    Article  Google Scholar 

  • Metais O, Ferziger JH (1997) New tools in turbulence modelling. Springer, 298 pp

  • Patton EG, Sullivan PP, Davis KJ (2003) The influence of a forest canopy on top-down and bottom-up diffusion in the planetary boundary layer. Quart J Roy Meteorol Soc 129: 1415–1434

    Article  Google Scholar 

  • Pope SB (2000) Turbulent flows. Cambridge University Press, UK, 771 pp

  • Sagaut P (2002) Large eddy simulation for incompressible flows. 2nd edn, Springer, 426 pp

  • Shaw RH, Hartog GD, Neumann HH (1988) Influence of foliar density and thermal stability on profiles of Reynolds stress and turbulence intensity in a deciduous forest. Boundary-Layer Meteorol 45: 391–409

    Article  Google Scholar 

  • Shaw RH, Schumann U (1992) Large-eddy simulation of turbulent flow above and within a forest. Boundary-Layer Meteorol 61: 47–64

    Article  Google Scholar 

  • Smagorinsky J (1963) General circulation experiments with the primitive equations. Mon Wea Rev 91: 99–164

    Article  Google Scholar 

  • Su HB, Shaw RH, Paw UKT, Moeng CH, Sullivan PP (1998) Turbulent statistics of neutrally stratified flow within and above a sparse forest from large-eddy simulation and field observations. Boundary-Layer Meteorol 88: 363–397

    Article  Google Scholar 

  • Thom AS (1971) Momentum absorption by vegetation. Quart J Roy Meteorol Soc 97: 414–428

    Article  Google Scholar 

  • Vreman B, Geurts B, Kuerten H (1997) Large-eddy simulation of the turbulent mixing layer. J Fluid Mech 339: 357–390

    Article  Google Scholar 

  • Xie ZT, Li JC (2006) A numerical study for turbulent flow and thermal influence over inhomogenous canopy of roughness elements. Environ Fluid Mech 5: 577–597

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Z. L. Gu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Qiu, J., Gu, Z.L. & Wang, Z.S. Numerical Study of the Response of an Atmospheric Surface Layer to a Spatially Nonuniform Plant Canopy. Boundary-Layer Meteorol 127, 293–311 (2008). https://doi.org/10.1007/s10546-008-9262-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-008-9262-5

Keywords

Navigation