Large-Eddy Simulation: How Large is Large Enough?

By S. Roode, P. Duynkerke, Harm J. J. Jonker. 2004

157 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/91eb58fb8763f9d13d10ffd5ccdf2e5d63aa4431

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Citations in the corpus

Unified treatment of dry convective and stratocumulus‐topped boundary layers in the ECMWF model (2011, background): “Second, multiple scales are involved from the microphysical scale, the large-eddy scale and the BL depth to the mesoscale of cloud cell structures (De Roode et al., 2004).”
Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications (2010, background): “In subsequent studies by de Roode et al.(2004a) and de Roode et al.(2004b) the tendency equation for the variance of scalars was analyzed.”
The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation (2011, background): “At long time scales (t $ 8 h) the horizontal domain should be expanded to accommodate the very large structures that can develop under persistent forcing, as discovered by Jonker et al. (1999) and de Roode et al. (2004).”
Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models (2014, background): “De Roode et al. (2004) more generally addressed the question of the size of the numerical domain required in LES to resolve convective cells and rolls.”
A Diagnostic for Evaluating the Representation of Turbulence in Atmospheric Models at the Kilometric Scale (2011, background): “According to De Roode et al. (2004), the dominant length scale in a clear CBL without moisture is on the order of (or twice) the boundary layer height and if one includes clouds, the dominant length scale increases.”
Bridging the Transition from Mesoscale to Microscale Turbulence in Numerical Weather Prediction Models (2014, methodology): “Digital filtering techniques are also used to generate turbulent inflow boundary conditions starting from a field of random numbers (e.g., Le et al. 1997; Klein et al. 2003; di Mare et al. 2006).”
Water‐vapour variability within a convective boundary‐layer assessed by large‐eddy simulations and IHOP_2002 observations (2005, background): “They indicate systematically larger L if orrv (0.3–0.4 zi) than for θ (0.1–0.3 zi), θv (0.1–0.25 zi) and w (0.07– 0.2 zi) in agreement with De Roode et al. (2004) .”