Skip to main content
Log in

Turbulence Coherence Within Canonical and Realistic Aeolian Dune-Field Roughness Sublayers

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

Abstract

Large-eddy simulation has been used to study the formation and spatial nature of inertia-dominated turbulent flows responding to aeolian sand dunes. The former is recovered from simulations initialized with a Reynolds-averaged flow, without any small-scale features, which highlights the emergence of salient structures within the dune-field roughness sublayer (RSL). The latter is based upon computation of integral lengths. In the interest of generality, these exercises are based upon flow over canonical dune geometries—which serve as a comparative benchmark—and flow over a section of the White Sands National Monument aeolian dune field in southern New Mexico. These cases, thus, capture a vast range of complexity. In both applications, we report the emergence of mixing-layer-like processes—as per results for other canopy flows—although the distinct geometric nature of the dunes shows the prevalence of a persistent interdune roller, which is aligned most closely with the streamwise direction. In order to demonstrate underlying similarities in the processes occuring above idealized and natural dune fields, we normalize the integral lengths by characteristic length scales: vorticity thickness, attached-eddy-hypothesis mixing length, and dissipation length. This exercise reveals a distinct growth and collapse pattern that is robust across all considered dune arrangements. Herein, ‘growth’ refers to the stage of downflow thickening of vortices produced via vortex shedding off the upflow dune; growth is regulated by the lesser of the distance to the wall or distance to the upflow dune, where the latter marks the beginning of the ‘collapse’ stage. Both are compliant with the notion of wall-attached eddies. In the RSL, we demonstrate that the integral lengths exhibit an optimal collapse when normalized by vorticity thickness, while inertial layer scaling is attained as close as one dune height above the top of the dune canopy. These results help to establish dune-field RSL dynamics within the broader context of canopy turbulence, which is important given the relatively greater efforts devoted to flows over vegetative canopies and urban environments.

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
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  • Albertson J, Parlange M (1999) Surface length scales and shear stress: implications for land-atmosphere interaction over complex terrain. Water Resour Res 35:2121–2132

    Google Scholar 

  • Anderson W (2012) An immersed boundary method wall model for high-reynolds number channel flow over complex topography. Int J Numer Methods Fluids 71:1588–1608

    Google Scholar 

  • Anderson W (2016) Amplitude modulation of streamwise velocity fluctuations in the roughness sublayer: evidence from large-eddy simulations. J Fluid Mech 789:567–588

    Google Scholar 

  • Anderson W, Meneveau C (2010) A large-eddy simulation model for boundary-layer flow over surfaces with horizontally resolved but vertically unresolved roughness elements. Boundary-Layer Meteorol 137:397–415

    Google Scholar 

  • Anderson W, Meneveau C (2011) A dynamic large-eddy simulation model for boundary layer flow over multiscale, fractal-like surfaces. J Fluid Mech 679:288–314

    Google Scholar 

  • Anderson W, Chamecki M (2014) Numerical study of turbulent flow over complex aeolian dune fields: The White Sands National Monument. Phys Rev E 89:013005–1–14

  • Anderson W, Li Q, Bou-Zeid E (2015) Numerical simulation of flow over urban-like topographies and evaluation of turbulence temporal attributes. J Turbul 16:809–831

    Google Scholar 

  • Bagnold R (1956) The physics of blown sand and desert dunes. Chapman and Hall, London

    Google Scholar 

  • Bailey B, Stoll R (2013) Turbulence in sparse, organized vegetative canopies: a large-eddy simulation study. Boundary-Layer Meteorol. https://doi.org/10.1007/s10546-012-9796-4

    Article  Google Scholar 

  • Bailey BN, Stoll R (2016) The creation and evolution of coherent structures in plant canopy flows and their role in turbulent transport. J Fluid Mech 789:425–460

    Google Scholar 

  • Bou-Zeid E, Meneveau C, Parlange M (2005) A scale-dependent lagrangian dynamic model for large eddy simulation of complex turbulent flows. Phys Fluids 17(025):105

    Google Scholar 

  • Bristow N, Blois G, Best J, Christensen K (2018) Turbulent flow structure associated with collision between laterally offset, fixed-bed barchan dunes. J Geophys Res-Earth Surf 123(9):2157–2188

    Google Scholar 

  • Bristow N, Blois G, Best J, Christensen K (2019) Spatial scales of turbulent flow structures associated with interacting barchan dunes. J Geophys Res-Earth Surf. https://doi.org/10.1029/2018JF004981

    Article  Google Scholar 

  • Browand F, Troutt T (1985) The turbulent mixing layer: geometry of large vortices. J Fluid Mech 158:489–509

    Google Scholar 

  • Castro I (2007) Rough-wall boundary layers: mean flow universality. J Fluid Mech 585:469–485

    Google Scholar 

  • Charru F, Andreotti B, Claudin P (2013) Sand ripples and dunes. Annu Rev Fluid Mech 45:469–493

    Google Scholar 

  • Claudin P, Wiggs G, Andreotti B (2013) Field evidence for the upwind velocity shift at the crest of low dunes. Boundary-Layer Meteorol 148:195–206

    Google Scholar 

  • Coceal O, Dobre A, Thomas T, Belcher S (2007) Structure of turbulent flow over regular arrays of cubical roughness. J Fluid Mech 589:375–409

    Google Scholar 

  • Davidson P, Krogstad PÅ (2014) A universal scaling for low-order structure functions in the log-law region of smooth-and rough-wall boundary layers. J Fluid Mech 752:140–156

    Google Scholar 

  • Durán O, Parteli EJ, Herrmann HJ (2010) A continuous model for sand dunes: Review, new developments and application to barchan dunes and barchan dune fields. Earth Surf Proc Land 35:1591–1600

    Google Scholar 

  • Ewing R, Kocurek G (2010a) Aeolian dune-field pattern boundary conditions. Geomorphology 114:175–187

    Google Scholar 

  • Ewing R, Kocurek G (2010b) Aeolian dune interactions and dune-field pattern formation: White Sands Dune Field, New Mexico. Sedimentology 57:1199–1218

    Google Scholar 

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

    Google Scholar 

  • Flack K, Schultz M, Connelly J (2007) Examination of a critical roughness height for outer layer similarity. Phys Fluids 19(9):095104

    Google Scholar 

  • Fröhlich J, Mellen C, Rodi W, Temmerman L, Leschziner M (2005) Highly resolved large-eddy simulation of separated flow in a channel with streamwise periodic constrictions. J Fluid Mech 526:19–66

    Google Scholar 

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

    Google Scholar 

  • Germano M (1992) Turbulence: the filtering approach. J Fluid Mech 238:325–336

    Google Scholar 

  • Germano M, Piomelli U, Moin P, Cabot W (1991) A dynamic subgrid-scale eddy viscosity model. Phys Fluids 3:1760–1765

    Google Scholar 

  • Ghisalberti M (2009) Obstructed shear flows: similarities across systems and scales. J Fluid Mech 641:51

    Google Scholar 

  • Grass A (1971) Structural features of turbulent flow over smooth and rough boundaries. J Fluid Mech 50:233–255

    Google Scholar 

  • Hersen P, Douady S (2005) Collision of barchan dunes as a mechanism of size regulation. Geophys Res Lett. https://doi.org/10.1029/2005GL024179

    Article  Google Scholar 

  • Hersen P, Andersen K, Elbelrhiti H, Andreotti B, Claudin P, Douady S (2004) Corridors of barchan dunes: stability and size selection. Phys Rev E 69(011):304

    Google Scholar 

  • Hutchins N, Marusic I (2007) Evidence of very long meandering features in the logarithmic region of turbulent boundary layers. J Fluid Mech 579:1–28

    Google Scholar 

  • Jackson P, Hunt J (1975) Turbulent flow over a low hill. Q J R Meteorol Soc 101:929–955

    Google Scholar 

  • Jacob C, Anderson W (2016) Conditionally averaged large-scale motions in the neutral atmospheric boundary layer: insights for aeolian processes. Boundary-Layer Meteorol 162:21–41

    Google Scholar 

  • Jeong J, Hussain F (1995) On the identification of a vortex. J Fluid Mech 285:69–94

    Google Scholar 

  • Jerolmack D, Mohrig D (2005) A unified model for subaqueous bed form dynamics. Water Resour Res. https://doi.org/10.1029/2005WR004329

    Article  Google Scholar 

  • Jerolmack D, Ewing R, Falcini F, Martin R, Masteller C, Phillips C, Reitz M, Buynevich I (2012) Internal boundary layer model for the evolution of desert dune fields. Nat Geosci 5:206–209

    Google Scholar 

  • Jimenez J (2004) Turbulent flow over rough wall. Annu Rev Fluid Mech 36:173

    Google Scholar 

  • Khosronejad A, Sotiropoulos F (2014) Numerical simulation of sand waves in a turbulent open channel flow. J Fluid Mech 753:150–216

    Google Scholar 

  • Khosronejad A, Sotiropoulos F (2017) On the genesis and evolution of barchan dunes: morphodynamics. J Fluid Mech 815:117–148

    Google Scholar 

  • Kocurek G, Carr M, Ewing R, Havholm K, Nagar Y, Singhvi A (2007) White sands dune field, New Mexico: age, dune dynamics and recent accumulations. Sedime Geol 197:313–331

    Google Scholar 

  • Kok J, Parteli E, Michaels T, Karam D (2012) The physics of wind-blown sand and dust. Rep Prog Phys 75:106,901:1–72

    Google Scholar 

  • Li Q, Bou-Zeid E, Anderson W (2016) The impact and treatment of the Gibbs phenomenon in immersed boundary method simulations of momentum and scalar transport. J Comput Phys 310:237–251

    Google Scholar 

  • Livingstone I, Wiggs G, Weaver C (2006) Geomorphology of desert sand dunes: a review of recent progress. Earth-Sci Rev 80:239–257

    Google Scholar 

  • Macdonald R, Griffiths R, Hall D (1998) An improved method for the estimation of surface roughness of obstacle arrays. Atmos Environ 32(11):1857–1864

    Google Scholar 

  • Martin R, Kok J (2017) Wind-invariant saltation heights imply linear scaling of aeolian saltation flux with shear stress. Sci Adv 3:e1602569–1–9

    Google Scholar 

  • Mejia-Alvarez R, Christensen K (2010) Low-order representations of irregular surface roughness and their impact on a turbulent boundary layer. Phys Fluids 22(015):106

    Google Scholar 

  • Meneveau C, Katz J (2000) Scale-invariance and turbulence models for large-eddy simulation. Annu Rev Fluid Mech 32:1–32

    Google Scholar 

  • Mittal R, Iaccarino G (2005) Immersed boundary methods. Annu Rev Fluid Mech 37:239–261

    Google Scholar 

  • Narteau C, Zhang D, Rozier O, Claudin P (2009) Setting the length and time scales of a cellular automaton dune model from the analysis of superimposed bed forms. J Geophys Res-Earth Surf 114:F03006–1—18

  • Omidyeganeh M, Piomelli U (2011) Large-eddy simulation of two-dimensional dunes in a steady, unidirectional flow. J Turbul 12:N42

    Google Scholar 

  • Omidyeganeh M, Piomelli U (2013a) Large-eddy simulation of three-dimensional dunes in a steady, unidirectional flow. part 1. Turbulence statistics. J Fluid Mech 721:454–483

    Google Scholar 

  • Omidyeganeh M, Piomelli U (2013b) Large-eddy simulation of three-dimensional dunes in a steady, unidirectional flow. part 2. Flow structures. J Fluid Mech 734:509–534

    Google Scholar 

  • Omidyeganeh M, Piomelli U, Christensen K, Best J (2013) Large eddy simulation of interacting barchan dunes in a steady, unidirectional flow. J Geophys Res-Earth Surf 118(4):2089–2104

    Google Scholar 

  • Ortiz P, Smolarkiewicz PK (2009) Coupling the dynamics of boundary layers and evolutionary dunes. Phys Rev E 79(041):307

    Google Scholar 

  • Palmer J, Mejia-Alvarez R, Best J, Christensen K (2012a) Particle-image velocimetry measurements of flow over interacting barchan dunes. Exp Fluids 52:809–829

    Google Scholar 

  • Palmer JA, Mejia-Alvarez R, Best JL, Christensen KT (2012b) Particle-image velocimetry measurements of flow over interacting barchan dunes. Exp Fluids 52(3):809–829

    Google Scholar 

  • Pan Y, Chamecki M (2016) A scaling law for the shear-production range of second-order structure functions. J Fluid Mech 801:459–474

    Google Scholar 

  • Piomelli U, Balaras E (2002) Wall-layer models for large-eddy simulation. Annu Rev Fluid Mech 34:349–374

    Google Scholar 

  • Pope S (2000) Turbulent flows. Cambridge University Press, Cambridge

    Google Scholar 

  • Porté-Agel F, Meneveau C, Parlange M (2000) A scale-dependent dynamic model for large-eddy simulation: application to a neutral atmospheric boundary layer. J Fluid Mech 415:261–284

    Google Scholar 

  • Raupach M, Antonia R, Rajagopalan S (1991) Rough-wall turbulent boundary layers. Appl Mech Rev 44:1–25

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Shao Y (2008) Physics and modelling of wind erosion. Springer, Berlin

    Google Scholar 

  • Smith AB, Jackson DW, Cooper JAG (2017) Three-dimensional airflow and sediment transport patterns over barchan dunes. Geomorphology 278:28–42

    Google Scholar 

  • Stevens R, Meneveau C (2017) Flow structure and turbulence in wind farms. Annu Rev Fluid Mech 49:311–339

    Google Scholar 

  • Stoesser T, Braun C, Garcia-Villalba M, Rodi W (2008) Turbulence structures in flow over two-dimensional dunes. J Hydraul Eng 134(1):42–55

    Google Scholar 

  • Townsend A (1976) The structure of turbulent shear flow. Cambridge University Press, Cambridge

    Google Scholar 

  • Tseng YH, Meneveau C, Parlange M (2006) Modeling flow around bluff bodies and predicting urban dispersion using large-eddy simulation. Environ Sci Technol 40:2653–2662

    Google Scholar 

  • Wang C, Anderson W (2018) Large-eddy simulation of turbulent flow over spanwise-offset barchan dunes: interdune vortex stretching drives asymmetric erosion. Phys Rev E 98(3):033112

    Google Scholar 

  • Wang C, Tang Z, Bristow N, Blois G, Christensen K, Anderson W (2016) Numerical and experimental study of flow over stages of an offset merger dune interaction. Comput Fluids 158:72–83

    Google Scholar 

  • Webb NP, Galloza MS, Zobeck TM, Herrick JE (2016) Threshold wind velocity dynamics as a driver of aeolian sediment mass flux. Aeolian Res 20:45–58

    Google Scholar 

  • Werner B (1995) Eolian dunes: computer simulations and attractor interpretation. Geology 23:1107–1110

    Google Scholar 

  • Xie ZT, Coceal O, Castro I (2008) Large-eddy simulation of flows over random urban-like obstacles. Boundary-Layer Meteorol 129:1–23

    Google Scholar 

  • Zgheib N, Fedele J, Hoyal D, Perillo M, Balachandar S (2018a) Direct numerical simulation of transverse ripples: 1. Pattern initiation and bedform interactions. J Geophys Res-Earth Surf 123:448–477

    Google Scholar 

  • Zgheib N, Fedele J, Hoyal D, Perillo M, Balachandar S (2018b) Direct numerical simulation of transverse ripples: 2. Self-similarity, bedform coarsening, and effect of neighboring structures. J Geophys Res-Earth Surf 123:478–500

    Google Scholar 

  • Zhu X, Anderson W (2018) Turbulent flow over urban-like fractals: prognostic roughness model for unresolved generations. J Turbul 19:995–1016

    Google Scholar 

  • Zhu X, Iungo G, Leonardi S, Anderson W (2017) Parametric study of urban-like topographic statistical moments relevant to a priori modelling of bulk aerodynamic parameters. Boundary-Layer Meteorol 162:231–253

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Science Foundation, Grant # CBET 1603254. Scientific computing resources were provided by the Texas Advanced Computing Center. The idealized dune DEM was provided by Ken Christensen, Notre Dame. The White Sands National Monument DEM was provided by Gary Kocurek and David Mohrig, University of Texas at Austin.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to W. Anderson.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix 1

Appendix 1

In order to establish resolution insensitivity, we show here selected results for the cases summarized in Table 1. Figure 14 shows vertical profiles of plane- and Reynolds-averaged streamwise velocity for flow over the WSNM DEM (panel a), and the idealized DEMs (panels b to e, where panel annotations denote corresponding case). Profiles are shown for the relatively high- and low-resolution cases summarized in Table 1. For all panels, the elevation, \(\mathrm {max}(h)/H\), is shown for perspective. The WSNM DEM represents a ‘field’, and as such the vertical profile exhibits an inflection, a distinctive attribute of canopy flows and responsible for the continual production of Kelvin–Helmholtz eddies. Although the idealized DEMs are also part of a field of identical interactions—by virtue of the periodic boundary conditions—the spatial extent of the computational domain minimizes the emergence of field-like conditions. As such, a pronounced inflection is not recovered. Nevertheless, it is apparent that resolution insensitivity has been attained for all cases, at least within the context of the plane- and Reynolds-averaged streamwise velocity component.

To demonstrate resolution insensitivity in a higher-order turbulence statistic, we show profiles of the integral length normalized by \(l_\omega \) against \(x^\prime /s_x\) for the idealized (Fig. 15a) and natural (Fig. 15b) dune field. The profiles are shown for relatively low- and high-resolution LES, where Table 1 summarizes the simulation attributes. There is no discernible or systematic resolution sensitivity in the profiles.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, C., Anderson, W. Turbulence Coherence Within Canonical and Realistic Aeolian Dune-Field Roughness Sublayers. Boundary-Layer Meteorol 173, 409–434 (2019). https://doi.org/10.1007/s10546-019-00477-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10546-019-00477-w

Keywords

Navigation