Skip to main content
Log in

On Displacement Height, from Classical to Practical Formulation: Stress, Turbulent Transport and Vorticity Considerations

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

Abstract

Displacement height (d) is an important parameter in the simple modelling of wind speed and vertical fluxes above vegetative canopies, such as forests. Here we show that, aside from implicit definition through a (displaced) logarithmic profile, accepted formulations for d do not consistently predict flow properties above a forest. Turbulent transport can affect the displacement height, and is an integral part of what is called the roughness sublayer. We develop a more general approach for estimation of d, through production of turbulent kinetic energy and turbulent transport, and show how previous stress-based formulations for displacement height can be seen as simplified cases of a more general definition including turbulent transport. Further, we also give a simplified and practical form for d that is in agreement with the general approach, exploiting the concept of vortex thickness scale from mixing-layer theory. We assess the new and previous displacement height formulations by using flow statistics derived from the atmospheric boundary-layer Reynolds-averaged Navier–Stokes model SCADIS as well as from wind-tunnel observations, for different vegetation types and flow regimes in neutral conditions. The new formulations tend to produce smaller d than stress-based forms, falling closer to the classic logarithmically-defined displacement height. The new, more generally defined, displacement height appears to be more compatible with profiles of components of the turbulent kinetic energy budget, accounting for the combined effects of turbulent transport and shear production. The Coriolis force also plays a role, introducing wind-speed dependence into the behaviour of the roughness sublayer; this affects the turbulent transport, shear production, stress, and wind speed, as well as the displacement height, depending on the character of the forest. We further show how our practical (‘mixing-layer’) form for d matches the new turbulence-based relation, as well as correspondence to previous (stress-based) formulations.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. Some formulations for displacement height also attempt to describe mean scalar profiles (e.g. Thom et al. 1975).

  2. We introduce the friction velocity \(u_{*}\) via the mean momentum flux \(\left\langle {{u}^{\prime }{w}^{\prime }} \right\rangle =-u_*^{2}\), where turbulent fluctuations about the mean are denoted by primes.

  3. The Lambert-W function is sometimes labelled the ‘product-log’ function; see e.g. Warburton and Wang (2004).

  4. \(z_{0,sfc} \left\langle {{u}^{\prime }{w}^{\prime }} \right\rangle _{0}\ll h\left\langle {{u}^{\prime }{w}^{\prime }} \right\rangle _\mathrm{h}\) is valid in the mean, since Brunet et al. (1994) confirmed that \(\left\langle {{u}^{\prime }{w}^{\prime }} \right\rangle _{0}\ll \left\langle {{u}^{\prime }{w}^{\prime }} \right\rangle _\mathrm{h}\) experimentally, and the roughness length \(z_{0,sfc} \) is much smaller than the canopy height h.

  5. RSL theory uses a ‘vorticity thickness’ scale to modify the form of vertical profiles, but does not typically modify the displacement height d (e.g. Arnqvist and Bergstrom 2015). However, RSL theory does allow for a variation of d with stability, but uses a stress-based form such (as in Eqs. 47).

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 

  • Arnqvist J, Bergstrom H (2015) Flux-profile relation with roughness sublayer correction. Q J R Meteorol Soc 141:1191–1197

    Article  Google Scholar 

  • Bache DH (1986) Momentum transfer to plant canopies: influence of structure and variable drag. Atmos Environ 20(7):1369–1378

    Article  Google Scholar 

  • Boy M, Sogachev A, Lauros J, Zhou L, Guenther A, Smolander S (2011) SOSA - a new model to simulate the concentrations of organic vapours and sulphuric acid inside the ABL - Part 1: Model description and initial evaluation. Atmos Chem Phys 11:43–51

    Article  Google Scholar 

  • Brunet Y, Finnigan JJ, Raupach MR (1994) A wind tunnel study of air flow in waving wheat: single-point velocity statistics. Boundary-Layer Meteorol 70:95–132

    Article  Google Scholar 

  • Dellwik E, Jensen NO (2005) Flux-profile relationships over a fetch limited beech forest. Bound-Layer Meteorol 115:179–204

    Article  Google Scholar 

  • Finnigan JJ, Brunet Y (1995) Turbulent airflow in forests on flat and hilly terrain. In: Coutts MP, Grace J (eds) Wind and trees. Cambridge University Press, London, pp 3–40

    Chapter  Google Scholar 

  • Foken T (2004) 50 Years of the Monin-Obukhov Similarity Theory. In: 16th symposium on boundary layers and turbulence. American Meteorological Society, Portland, Fundamental studies of turbulence: observations, theory, and models session (7.1)

  • Garratt JR (1978) Flux profile relations above tall vegetation. Q J R Meteorol Soc 104:199–211

    Article  Google Scholar 

  • Garratt JR (1979) Comments[II] on ‘Analysis of flux-profile relationships above tall vegetation–alternative view’. Q J R Meteorol Soc 105(446):1079–1082

    Article  Google Scholar 

  • Grønnegaard JP, Gryning SE, Kelly M (2014) On the structure and development of inversion-capped neutral atmospheric boundary-layer flows: large-eddy simulation study. Boundary-Layer Meteorol 153:43–62

    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 

  • Hicks BB, Hess GD, Wesely ML (1979) Analysis of flux-profile relationships above tall vegetation–alternative view. Q J R Meteorol Soc 105(446):1074–1077

    Google Scholar 

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

    Article  Google Scholar 

  • Jackson PS (1981) On the displacement height in the logarithmic velocity profile. J Fluid Mech 111:15–25

    Article  Google Scholar 

  • Kelly M, Larsen GC, Dimitrov NK, Natarajan A (2014) Probabilistic meteorological characterization for turbine loads. J Phys: Conf Ser 524(1):012076

    Google Scholar 

  • Kolmogorov AN (1941) The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers. Proc. USSR Acad. Sci. (Russian; Tr. Akad. Nauk. SSSR) 30: 299–303. Translated into English by V. Levin (1990). Proc R Soc A 434:9–13

    Article  Google Scholar 

  • Landsberg JJ, Jarvis PG (1973) A numerical investigation of the momentum balance of a spruce forest. J Appl Ecol 10:645–655

    Article  Google Scholar 

  • Mammarella I, Dellwik E, Jensen NO (2008) Turbulence spectra, shear stress, and turbulent kinetic energy budgets above two beech forest sites in Denmark. Tellus 60(B):179–187

    Article  Google Scholar 

  • Meyers T, Paw-U KT (1986) Testing of a higher-order closure model for modeling airflow within and above plant canopies. Boundary-Layer Meteorol 37:297–311

    Article  Google Scholar 

  • Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr Akad Nauk SSSR Geofiz Inst 24:163–187

    Google Scholar 

  • Monin AS, Yaglom AM (1971) Statistical fluid mechanics: mechanics of turbulence, vol 1. English version ed. J.Lumley. MIT Press, Cambridge, 769 pp

  • Nakamura R, Mahrt L (2001) Similarity theory for local and spatially averaged momentum fluxes Agric. Forest Meteorol 108:265–279

    Article  Google Scholar 

  • Panferov O, Sogachev A (2008) Influence of gap size on wind damage variables in a forest. Agric For Meteorol 148:1869–1881

    Article  Google Scholar 

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

  • Poggi D, Katul GG, Albertson JD (2004) Momentum transfer and turbulent kinetic energy budgets within a dense model canopy. Boundary-Layer Meteorol 111:589–614

    Article  Google Scholar 

  • Raupach MR (1979) Anomalies in flux-gradient relationships over forest. Bound-Layer Meteorol 16:467–486

    Article  Google Scholar 

  • Raupach MR, Stewart JB, Thom AS (1979) Comments[I] on ‘Analysis of flux-profile relationships above tall vegetation–alternative view’. Q J R Meteorol Soc 105(446):1077–1078

  • Raupach MR, Thom AS (1981) Turbulence in and above plant canopies. Annu Rev Fluid Mech 13:97–129

    Article  Google Scholar 

  • Raupach MR, Coppin PA, Legg BJ (1986) Experiments on scalar dispersion in a model plant canopy. Part I: the turbulent structure. Boundary-Layer Meteorol 35:21–52

    Article  Google Scholar 

  • Raupach MR, Finnigan JJ, Brunet Y (1996) Coherent eddies and turbulence in vegetation canopies: the mixing-layer analogy. Boundary-Layer Meteorol 78:351–382

    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 RH, Pereira AR (1982) Aerodynamic roughness of a plant canopy: a numerical experiment. Agric Meteorol 26:51–65

    Article  Google Scholar 

  • Simpson IJ, Thurtell GW, Neumann HH, Den Hartog G, Edwards GC (1998) The validity of similarity theory in the roughness sublayer above forests. Boundary-Layer Meteorol 87:69–99

    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

    Article  Google Scholar 

  • Sogachev A, LeClerc MY, Karipot A, Zhang G, Vesala T (2005) Effect of clearcuts on footprints and flux measurements above a forest canopy. Agric Forest Meteorol 133:182–196

    Article  Google Scholar 

  • Sogachev A, Leclerc MY, Zhang G, Rannik Ü, Vesala T (2008) CO2 fluxes near a forest edge: a numerical study. Ecol Appl 18:1454–1469

    Article  Google Scholar 

  • Sogachev A, Kelly M, Leclerc MY (2012) Consistent two-equation closure modeling for atmospheric research: Buoyancy and vegetation implementations. Boundary-Layer Meteorol 145:307–327

  • Thom AS (1971) Momentum Absorption by Vegetation. Q J R Meteorol. Soc 97:414–428

    Article  Google Scholar 

  • Thom AS, Stewart JB, Oliver HR, Gash JHC (1975) Comparison of aerodynamic and energy budget estimates of fluxes over a pine forest. Q J R Meteorol Soc 101:93–105

    Article  Google Scholar 

  • Warburton RDH, Wang J (2004) Analysis of asymptotic projectile motion with air resistance using the Lambert W function. Amer J Phys 72:1404–1410

    Article  Google Scholar 

  • Wilcox DC (2002) Turbulence modeling for CFD. DCW Industries Inc, La Cañada 460 pp

    Google Scholar 

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

    Google Scholar 

  • Wooding RA (1968) A low speed wind tunnel for model studies in micrometeorology. II. The Pye laboratory wind tunnel. Aust CSIRO Div Plant Ind Tech Pap 25:1–24

    Google Scholar 

  • Wyngaard JC (2004) Toward numerical modelling in the “Terra Incognita”. J Atmos Sci 61:1816–1826

    Article  Google Scholar 

  • Wyngaard JC (2010) Turbulence in the atmosphere. Cambridge University Press, New York 392 pp

    Book  Google Scholar 

  • Zeman O (1981) Progress in the modelling of planetary boundary layers. Annu Rev Fluid Mech 13:253–272

    Article  Google Scholar 

Download references

Acknowledgments

Part of this work was supported by the Center for Computational Wind Turbine Aerodynamics and Atmospheric Turbulence, funded by the Danish Council for Strategic Research (‘DSF’) under grant number 09-067216. The authors would also like to thank the anonymous reviewers for constructive comments, as well as continued discussion on this subject.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mark Kelly.

Ethics declarations

Conflict of Interest

The authors (AS and MK) declare that they have no conflict of interest with regards to this work.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sogachev, A., Kelly, M. On Displacement Height, from Classical to Practical Formulation: Stress, Turbulent Transport and Vorticity Considerations. Boundary-Layer Meteorol 158, 361–381 (2016). https://doi.org/10.1007/s10546-015-0093-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-015-0093-x

Keywords

Navigation