Implementation of a nonlinear subfilter turbulence stress model for large-eddy simulation in the advanced research WRF model

152Citations
Citations of this article
116Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Two formulations of a nonlinear turbulence subfilter-scale (SFS) stress model were implemented into the Advanced Research Weather Research and Forecasting model (ARW-WRF) version 3.0 for improved largeeddy simulation performance. The newmodelswere evaluated against theWRFmodel's standard Smagorinsky and 1.5-order turbulence kinetic energy (TKE) linear eddy-viscosity SFS stress models in simulations of geostrophically forced, neutral boundary layer flowover both flat terrain and a shallow, symmetric transverse ridge. Comparisons of simulation results with similarity profiles indicate that the nonlinear models significantly improve agreement with the expected profiles near the surface, reducing the overprediction of near-surface stress characteristic of linear eddy-viscosity models with no near-wall damping. Comparisons of simulations conducted using different mesh sizes indicate that the nonlinear model simulations at coarser resolutions agree more closely with the higher-resolution results than corresponding lower-resolution simulations using the standardWRF SFS stressmodels. The nonlinearmodels produced flows featuring a broader range of eddy sizes, with less spectral power at lower frequencies and more spectral power at higher frequencies. In simulated flow over the transverse ridge, distributions of flow separation and reversal near the surface simulated at higher resolution were likewise better depicted in coarser-resolution simulations using the nonlinear models. © 2010 American Meteorological Society.

Cite

CITATION STYLE

APA

Mirocha, J. D., Lundquist, J. K., & Kosović, B. (2010). Implementation of a nonlinear subfilter turbulence stress model for large-eddy simulation in the advanced research WRF model. Monthly Weather Review, 138(11), 4212–4228. https://doi.org/10.1175/2010MWR3286.1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free