Richard J.A.M. Stevens

Professor at the University of Twente

Wind energy · Turbulence · Environmental flows

Publication 80 · Atmospheric turbulence

Large-Eddy Simulations of Stratified Atmospheric Boundary Layers

S.N. Gadde, A. Stieren, R.J.A.M. Stevens, Bound.-Layer Meteorol. 178, 363–382 (2021).

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Main finding

In the tested stratified boundary layers, the AMD subgrid model gives results closer to LASD than the chosen Smagorinsky implementation, at lower reported cost. These within-code comparisons do not establish independent validation, heterogeneous-flow transfer or portable HPC superiority.

Mean velocity, shear stress, variance and gradient for three subgrid models in neutral flow
How to read the figure. Mean velocity against the log law (a), shear stress (b), vertical velocity variance (c) and the dimensionless velocity gradient (d) for three subgrid-scale closures in a neutral boundary layer. The anisotropic minimum-dissipation and Lagrangian scale-dependent models track the log law and each other; the Smagorinsky implementation departs from both. This is within-code evidence rather than an independent validation, and it does not show that the ordering carries over to heterogeneous flow. Open the full-resolution figure. Figure 1. S.N. Gadde et al. (2021). No separate licence is stated here; consult the original publication and credited source before reuse.

Why this matters

Unresolved turbulence must be modelled, and model choice changes simulated boundary-layer structure.

Research context

Large-eddy simulation study of the logarithmic law for second… (read the finding) is cited for LASD accuracy and log-layer evidence, while Effect of Coriolis force on a wind farm wake (read the finding) is cited as a prior LASD wind-farm application; both scientific uses remain distinct from this closure comparison. The method shares the Albertson–Parlange code family and rough-wall LES architecture later used across the ABL programme. Wall modeled immersed boundary method for high Reynolds number… (read the finding) is a related method paper but is not cited as a dependency here.

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