Comparison of dynamic subgrid-scale models for simulations of neutrally buoyant shear-driven atmospheric boundary layer flows |
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Authors: | William C Anderson Sukanta Basu Chris W Letchford |
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Institution: | (1) Wind Science and Engineering Research Center, Texas Tech University, Lubbock, TX 79409, USA;(2) Atmospheric Science Group, Department of Geosciences, Texas Tech University, Lubbock, TX 79409, USA |
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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. |
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Keywords: | Atmospheric boundary layer Large-eddy simulation Neutral Subgrid-scale Turbulence |
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