Open AccessDynamic Models for the Subgrid-Scale Mixing of Reactants in Atmospheric Turbulent Reacting Flows
Author(s) -
Jean-François Vinuesa,
Fernando PortéAgel
Publication year - 2008
Publication title -
journal of the atmospheric sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.853
H-Index - 173
eISSN - 1520-0469
pISSN - 0022-4928
DOI - 10.1175/2007jas2392.1
Subject(s) - large eddy simulation , turbulence , statistical physics , scale (ratio) , dynamic similarity , scale invariance , covariance , scale model , similarity (geometry) , planetary boundary layer , mechanics , physics , meteorology , mathematics , computer science , reynolds number , aerospace engineering , statistics , engineering , quantum mechanics , artificial intelligence , image (mathematics)
The effects of the subgrid scales on chemical transformations in large-eddy simulations of the convective atmospheric boundary layer (CBL) are investigated. Dynamic similarity subgrid-scale models are formulated and used to calculate the subgrid-scale covariance. The dynamic procedure allows for simulations free of parameter tuning since the model coefficients are computed based on the resolved reactant concentrations. A scale-dependent procedure is proposed that allows relaxing the assumption of scale invariance used in the dynamic similarity model. Simulation results show that both models are able to account in part for the effect of the segregation of the scalars at the subgrid scales, considerably reducing the resolution dependence of the results found when no subgrid covariance model is used. The scale-dependent dynamic version yields better results than its scale-invariant counterpart.