Numerical discretization and subgrid-scale model effects on large-eddy simulations of a stable boundary layer

2016 ◽  
Vol 142 (701) ◽  
pp. 3050-3062 ◽  
Author(s):  
Georgios Matheou
Keyword(s):  
Boundary Layer ◽  
Stable Boundary Layer ◽  
Large Eddy Simulations ◽  
Scale Model ◽  
Subgrid Scale ◽  
Stable Boundary ◽  
Large Eddy ◽  
Subgrid Scale Model ◽  
Numerical Discretization

scholarly journals An Intercomparison of Large-Eddy Simulations of the Stable Boundary Layer

2006 ◽  
Vol 118 (2) ◽  
pp. 247-272 ◽  
Author(s):  
Robert J. Beare ◽  
Malcolm K. Macvean ◽  
Albert A. M. Holtslag ◽  
Joan Cuxart ◽  
Igor Esau ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Stable Boundary Layer ◽  
Large Eddy Simulations ◽  
Stable Boundary ◽  
Large Eddy

scholarly journals General relativistic MHD large eddy simulations with gradient subgrid-scale model

2020 ◽  
Vol 101 (12) ◽  
Author(s):  
Daniele Viganò ◽  
Ricard Aguilera-Miret ◽  
Federico Carrasco ◽  
Borja Miñano ◽  
Carlos Palenzuela
Keyword(s):  
Large Eddy Simulations ◽  
Scale Model ◽  
Subgrid Scale ◽  
Large Eddy ◽  
General Relativistic ◽  
Subgrid Scale Model

scholarly journals Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos

2007 ◽  
Vol 585 ◽  
pp. 255-279 ◽  
Author(s):  
DIDIER LUCOR ◽  
JOHAN MEYERS ◽  
PIERRE SAGAUT
Keyword(s):  
Polynomial Chaos ◽  
Parametric Uncertainty ◽  
Large Eddy Simulations ◽  
Scale Model ◽  
Subgrid Scale ◽  
Model Free ◽  
Numerical Predictions ◽  
Large Eddy ◽  
Subgrid Scale Model ◽  
Model Parametric Uncertainty

We address the sensitivity of large-eddy simulations (LES) to parametric uncertainty in the subgrid-scale model. More specifically, we investigate the sensitivity of the LES statistical moments of decaying homogeneous isotropic turbulence to the uncertainty in the Smagorinsky model free parameter Cs (i.e. the Smagorinsky constant). Our sensitivity methodology relies on the non-intrusive approach of the generalized Polynomial Chaos (gPC) method; the gPC is a spectral non-statistical numerical method well-suited to representing random processes not restricted to Gaussian fields. The analysis is carried out at Reλ, =, 100 and for different grid resolutions and Cs distributions. Numerical predictions are also compared to direct numerical simulation evidence. We have shown that the different turbulent scales of the LES solution respond differently to the variability in Cs. In particular, the study of the relative turbulent kinetic energy distributions for different Cs distributions indicates that small scales are mainly affected by changes in the subgrid-model parametric uncertainty.

scholarly journals An Investigation of the Grid Sensitivity in Large-Eddy Simulations of the Stable Boundary Layer

2021 ◽  
Author(s):  
Björn Maronga ◽  
Dan Li
Keyword(s):  
Boundary Layer ◽  
Stable Boundary Layer ◽  
Lower Boundary ◽  
Large Eddy Simulations ◽  
Surface Boundary ◽  
Fine Grid ◽  
Near Surface ◽  
Stable Boundary ◽  
Advection Schemes ◽  
Large Eddy

AbstractWe revisit the longstanding problem of grid sensitivity, i.e., the lack of grid convergence in large-eddy simulations (LES) of the stable boundary layer. We use a comprehensive set of LES of the well-known Global Energy and Water Cycle Experiment Atmospheric Boundary Layer Study 1 (GABLS1) case with varying grid spacings between 12.5 m and 1 m to investigate several physical processes and numerical features that are possible causes of grid sensitivity. Our results demonstrate that there are two resolution regimes in which grid sensitivity manifests differently. We find that changing the numerical advection schemes and the subgrid-scale models alters the simulation results, but the options tested do not fully address the grid-sensitivity issue. Moreover, sensitivity runs suggest that the surface boundary condition and the interaction of the surface with the near-surface flow, as well as the mixing with the free atmosphere, are unlikely to be the causes of the observed grid sensitivity. One interesting finding is that the grid sensitivity in the fine grid-spacing regime (grid spacings $$\le 2\,\mathrm{m}$$ ≤ 2 m ) is closely related to the reduction in the energy content of large-scale turbulence, leading to less turbulence kinetic energy and hence lower boundary-layer heights. The present work demonstrates that there is still an urgent need to address this grid-sensitivity issue in order to perform reliable LES of the stable boundary layer.

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