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Environmental Fluid Mechanics

, Volume 7, Issue 3, pp 195–215 | Cite as

Comparison of dynamic subgrid-scale models for simulations of neutrally buoyant shear-driven atmospheric boundary layer flows

  • William C. Anderson
  • Sukanta Basu
  • Chris W. Letchford
Original Article

Abstract

Several non-dynamic, scale-invariant, and scale-dependent dynamic subgrid-scale (SGS) models are utilized in large-eddy simulations of shear-driven neutral atmospheric boundary layer (ABL) flows. The popular Smagorinsky closure and an alternative closure based on Kolmogorov’s scaling hypothesis are used as SGS base models. Our results show that, in the context of neutral ABL regime, the dynamic modeling approach is extremely useful, and reproduces several establised results (e.g., the surface layer similarity theory) with fidelity. The scale-dependence framework, in general, improves the near-surface statistics from the Smagorinsky model-based simulations. We also note that the local averaging-based dynamic SGS models perform significantly better than their planar averaging-based counterparts. Lastly, we find more or less consistent superiority of the Smagorinsky-based SGS models (over the corresponding Kolmogorov’s scaling hypothesis-based SGS models) for predicting the inertial range scaling of spectra.

Keywords

Atmospheric boundary layer Large-eddy simulation Neutral Subgrid-scale Turbulence 

Abbreviations

ABL

Atmospheric boundary layer

LAD

Locally averaged (scale-invariant) dynamic

LASDD

Locally averaged scale-dependent dynamic

LES

Large-eddy simulation

NBL

Neutral boundary layer

PAD

Planar averaged (scale-invariant) dynamic

PASDD

Planar averaged scale-dependent dynamic

SGS

Subgrid-scale

TKE

Turbulence kinetic energy

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • William C. Anderson
    • 1
  • Sukanta Basu
    • 2
  • Chris W. Letchford
    • 1
  1. 1.Wind Science and Engineering Research CenterTexas Tech UniversityLubbockUSA
  2. 2.Atmospheric Science Group, Department of GeosciencesTexas Tech UniversityLubbockUSA

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