This project is focused on development of a novel approach, called Stochastic Coherent Adaptive Large Eddy Simulation (SCALES) for modeling and simulation of turbulent flows. The approach comes from the realization of the deficiency of the current Large Eddy Simulation (LES) approach, which resolves only the large-scale motions instead of coherent energy containing flow structures. The SCALES a...

In 1999, Stolz and Adams [Phys. Fluids 11 (1999)] unveiled a subgrid-scale model for LES based upon approximately inverting (defiltering) the spatial grid-filter operator and termed .the approximate deconvolution model (ADM). Subsequently, the utility and accuracy of the ADM were demonstrated in a postenon analyses of flows as diverse as incompressible planechannel flow and supersonic compressi...

Large-eddy simulation (LES) seeks to predict the dynamics of spatially filtered turbulent flows. By construction, the LES solution contains only scales of size ≥ ∆, where ∆ denotes some user-chosen length scale of the spatial filter. A large-eddy simulation based on an eddy-viscosity model and a Navier-Stokes simulation differ only in diffusion coefficient. Therefore, we focus on the question: ...

1 The performance of five boundary layer parameterizations in the Weather 2 Research and Forecasting model is examined for marine boundary layer cloud regions 3 using a single column model version of the WRF model. Most parameterizations show a 4 poor agreement of the vertical boundary layer structure when compared with Large-Eddy 5 Simulation models. These comparisons against Large-Eddy Simula...

Complex systems display variability over a broad range of spatial and temporal scales. Some scales are unresolved due to computational limitations. The impact of these unresolved scales on the resolved scales needs to be parameterized or taken into account. One stochastic parameterization scheme is devised to take the effects of unresolved scales into account, in the context of solving a nonlin...