Skip to main content
Log in

Consistent Two-Equation Closure Modelling for Atmospheric Research: Buoyancy and Vegetation Implementations

  • Research Article
  • Published:
Boundary-Layer Meteorology Aims and scope Submit manuscript

Abstract

A self-consistent two-equation closure treating buoyancy and plant drag effects has been developed, through consideration of the behaviour of the supplementary equation for the length-scale-determining variable in homogeneous turbulent flow. Being consistent with the canonical flow regimes of grid turbulence and wall-bounded flow, the closure is also valid for homogeneous shear flows commonly observed inside tall vegetative canopies and in non-neutral atmospheric conditions. Here we examine the most often used two-equation models, namely \({E - \varepsilon}\) and Eω (where \({\varepsilon}\) is the dissipation rate of turbulent kinetic energy, E, and \({\omega = \varepsilon/E}\) is the specific dissipation), comparing the suggested buoyancy-modified closure against Monin–Obukhov similarity theory. Assessment of the closure implementing both buoyancy and plant drag together has been done, comparing the results of the two models against each other. It has been found that the Eω model gives a better reproduction of complex atmospheric boundary-layer flows, including less sensitivity to numerical artefacts, than does the \({E -\varepsilon}\) model. Re-derivation of the \({\varepsilon}\) equation from the ω equation, however, leads to the \({E - \varepsilon}\) model implementation that produces results identical to the Eω model. Overall, numerical results show that the closure performs well, opening new possibilities for application of such models to tasks related to the atmospheric boundary layer—where it is important to adequately account for the influences of both vegetation and atmospheric stability.

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

  • Apsley DD, Castro IP (1997) A limited-length-scale \({k - \varepsilon}\) model for the neutral and stably-stratified atmospheric boundary layer. Boundary-Layer Meteorol 83: 75–98

    Article  Google Scholar 

  • Ayotte KW, Finnigan JJ, Raupach MR (1999) A second-order closure for neutrally stratified vegetative canopy flows. Boundary-Layer Meteorol 90: 189–216

    Article  Google Scholar 

  • Baas P, de Roode SR, Lenderink G (2008) The scaling behavior of a turbulent kinetic energy closure model for stable stratified conditions. Boundary-Layer Meteorol 127: 17–36

    Article  Google Scholar 

  • Basu S, Vinuesa JF, Swift A (2008) Dynamic LES modeling of a diurnal cycle. J Appl Meteorol Climatol 47: 1156–1174

    Article  Google Scholar 

  • Baumert H, Peters H (2000) Second-moment closures and length scales for weakly stratified turbulent shear flows. J Geophys Res 105: 6453–6468

    Article  Google Scholar 

  • Blackadar AK (1962) The vertical distribution of wind and turbulent exchange in a neutral atmosphere. J Geophys Res 67: 3095–3102

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Cheng Y, Canuto V, Howard A (2002) An improved model for the turbulent PBL. J Atmos Sci 59: 1550–1565

    Article  Google Scholar 

  • Deardorff JW (1972) Numerical investigations of neutral and unstable planetary boundary layers. J Atmos Sci 18: 495–527

    Google Scholar 

  • Duynkerke PG (1988) Application of the \({E -\varepsilon}\) turbulence closure model to the neutral and stable atmospheric boundary layer. J Atmos Sci 45: 865–880

    Article  Google Scholar 

  • Dyer AJ (1974) A review of flux–profile relationships. Boundary-Layer Meteorol 7: 363–372

    Article  Google Scholar 

  • Dyer AJ, Hicks BB (1970) Flux–gradient relationships in the constant flux layer. Q J R Meteorol Soc 96: 715–721

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Finnigan JJ (2007) Turbulent flow in canopies on complex topography and the effects of stable stratification. In: Gayev YA, Hunt JCR (eds) Flow and transport processes with complex obstructions. Springer, Dordrecht, pp 199–219

    Chapter  Google Scholar 

  • Finnigan JJ, Shaw RH (2008) Double-averaging methodology and its application to turbulent flow in and above vegetation canopies. Acta Geophys 56: 534–561

    Article  Google Scholar 

  • Foken T (2006) 50 years of the Monin–Obukhov similarity theory. Boundary-Layer Meteorol 119: 431–447

    Article  Google Scholar 

  • Freedman FR, Jacobson MZ (2003) Modification of the standard \({\varepsilon}\)-equation for the stable ABL through enforced consistency with Monin–Obukhov theory. Boundary-Layer Meteorol 106: 383–410

    Article  Google Scholar 

  • Garratt JR (1992) The atmospheric boundary layer. Cambridge University Press, U.K., 316 pp

  • Hanjalić K (2005) Will RANS survive LES? A view of perspectives. ASME J Fluid Eng 27: 831–839

    Article  Google Scholar 

  • Hanjalić K, Kenjereš S (2008) Some developments in turbulence modeling for wind and environmental engineering. J Wind Eng Ind Aerodyn 96: 1537–1570

    Article  Google Scholar 

  • Harman IN, Finnigan JJ (2007) A simple unified theory for flow in the canopy and roughness sublayer. Boundary-Layer Meteorol 123: 339–363

    Article  Google Scholar 

  • Högström U (1985) Von Kármán constant in atmospheric boundary flow: reevaluated. J Atmos Sci 42: 263–270

    Article  Google Scholar 

  • Högström U (1988) Non-dimensional wind and temperature profiles in the atmospheric surface layer: a re-evaluation. Boundary-Layer Meteorol 42: 55–78

    Article  Google Scholar 

  • Högström U (1996) Review of some basic characteristics of the atmospheric surface layer. Boundary-Layer Meteorol 78: 215–246

    Article  Google Scholar 

  • Jacobs AFG, Van Boxel JH, El-Kilani RMM (1994) Nighttime free convection characteristics within a plant canopy. Boundary-Layer Meteorol 71: 375–391

    Article  Google Scholar 

  • Kantha LH (2004) The length scale equation in turbulence models. Nonlinear Process Geophys 11: 83–97

    Article  Google Scholar 

  • Kantha LH, Bao JW, Carniel S (2005) A note on Tennekes hypothesis and its impact on second moment closure models. Ocean Model 9: 23–29

    Article  Google Scholar 

  • Katul GG, Mahrt L, Poggi D, Sanz C (2004) One- and two-equation models for canopy turbulence. Boundary-Layer Meteorol 113: 81–109

    Article  Google Scholar 

  • Kelly M, Gryning S-E (2010) Long-term mean wind profiles based on similarity theory. Boundary-Layer Meteorol 136: 377–390

    Article  Google Scholar 

  • Klipp CL, Mahrt L (2004) Flux–gradient relationship, self-correlation and intermittency in the stable boundary layer. Q J R Meteorol Soc 130: 2087–2103

    Article  Google Scholar 

  • Launder BE, Spalding DB (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 3: 269–289

    Article  Google Scholar 

  • Launder BE, Reece GJ, Rodi W (1975) Progress in the development of a Reynolds-stress turbulent closure. J Fluid Mech 68: 537–566

    Article  Google Scholar 

  • Leclerc MY, Shaw RH, Den Hartog G, Neumann HH (1990) The influence of atmospheric stability on the budgets of the Reynolds stress and turbulent kinetic energy within and above a deciduous forest. J Appl Meteorol 29: 916–933

    Article  Google Scholar 

  • Li X, Zimmerman N, Princevac M (2008) Local imbalance of turbulent kinetic energy in the surface layer. Boundary-Layer Meteorol 129: 115–136

    Article  Google Scholar 

  • Mellor GL, Yamada T (1974) A hierarchy of turbulence closure models for planetary boundary layers. J Atmos Sci 31: 1791–1806

    Article  Google Scholar 

  • Moeng C-H (1984) A Large-eddy simulation model for the study of planetary boundary-layer turbulence. J Atmos Sci 41: 2052–2062

    Article  Google Scholar 

  • Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the atmosphere near the ground. Trudy geofiz Inst. AN SSSR 24(151):163–187 (in Russian)

    Google Scholar 

  • Paulson CA (1970) The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J Appl Meteorol 9: 857–860

    Article  Google Scholar 

  • Pielke R (2002) Mesoscale meteorological modeling. Academic Press, San Diego

    Google Scholar 

  • Pinard J-P, Wilson JD (2001) First- and second-order closure models for wind in a plant canopy. J Appl Meteorol 40: 1762–1768

    Article  Google Scholar 

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

  • Rao KS, Wyngaard JC, Coté OR (1974) Local advection of momentum, heat, and moisture in micrometeorology. Boundary-Layer Meteorol 7: 331–348

    Article  Google Scholar 

  • Raupach MR, Shaw RH (1982) Averaging procedures for flow within vegetation canopies. Boundary-Layer Meteorol 22: 79–90

    Article  Google Scholar 

  • Sanz C (2003) A note on \({k-\varepsilon}\) modelling of vegetation canopy air-flows. Boundary-Layer Meteorol 108: 191–197

    Article  Google Scholar 

  • Seginer I, Mulhearn PJ, Bradley EF, Finnigan JJ (1976) Turbulent flow in a model plant canopy. Boundary-Layer Meteorol 10: 423–453

    Article  Google Scholar 

  • Shaw R, Schumann U (1992) Large-eddy simulation of turbulent flow above and within a forest. Boundary-Layer Meteorol 61: 47–80

    Article  Google Scholar 

  • Sogachev A (2009) A note on two-equation closure modeling of canopy flow. Boundary-Layer Meteorol 130: 423–435

    Article  Google Scholar 

  • Sogachev A, Panferov O (2006) Modification of two-equation models to account for plant drag. Boundary-Layer Meteorol 121: 229–266

    Article  Google Scholar 

  • Sogachev A, Menzhulin G, Heimann M, Lloyd J (2002) A simple three dimensional canopy–planetary boundary layer simulation model for scalar concentrations and fluxes. Tellus 54B: 784–819

    Google Scholar 

  • Sogachev A, Panferov O, Gravenhorst G, Vesala T (2005) Numerical analysis of flux footprints for different landscapes. Theor Appl Climatol 80(2-4): 169–185

    Article  Google Scholar 

  • Svensson U, Häggkvist K (1990) A two-equation turbulence model for canopy flows. J Wind Eng Ind Aerodyn 35: 201–211

    Article  Google Scholar 

  • Tóta JD, Fitzjarrald R, Staebler RM, Sakai RK, Moraes OMM, Acevedo OC, Wofsy SC, Manzi A (2008) Amazon rain forest subcanopy flow and the carbon budget: Santarém LBA-ECO site. J Geophys Res 113: G00B02. doi:10.1029/2007JG000597

    Article  Google Scholar 

  • Vickers D, Mahrt L (1999) Observations of non-dimensional wind shear in the coastal zone. Q J R Meteorol Soc 125: 2685–2702

    Article  Google Scholar 

  • Wichmann M, Schaller E (1986) On the determination of the closure parameters in higher-order closure models. Boundary-Layer Meteorol 37: 323–341

    Article  Google Scholar 

  • Wilcox DC (1988) Reassessment of the scale determining equation for advance turbulence models. AIAA J 26: 1299–1310

    Article  Google Scholar 

  • Wilcox DC (2002) Turbulence modeling for CFD. DCW Industries Inc, La Cañada

    Google Scholar 

  • Wilson JD (2011) An alternative eddy-viscosity model for the horizontally uniform atmospheric boundary layer. Boundary-Layer Meteorol. doi:10.1007/s10546-011-9650-0

  • Wilson JD, Finnigan JJ, Raupach MR (1998) A first-order closure for disturbed plant-canopy flows, and its application to winds in a canopy on a ridge. Q J R Meteorol Soc 124: 705–732

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey Sogachev.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sogachev, A., Kelly, M. & Leclerc, M.Y. Consistent Two-Equation Closure Modelling for Atmospheric Research: Buoyancy and Vegetation Implementations. Boundary-Layer Meteorol 145, 307–327 (2012). https://doi.org/10.1007/s10546-012-9726-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-012-9726-5

Keywords

Navigation