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A dynamic similarity subgrid model for chemical transformations in large‐eddy simulation of the atmospheric boundary layer
Author(s) -
Vinuesa J.F.,
PortéAgel F.
Publication year - 2005
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2004gl021349
Subject(s) - large eddy simulation , boundary layer , planetary boundary layer , similarity (geometry) , atmospheric models , layer (electronics) , statistical physics , atmospheric sciences , meteorology , geology , mechanics , geophysics , physics , atmosphere (unit) , computer science , materials science , turbulence , artificial intelligence , image (mathematics) , composite material
In large‐eddy simulations (LESs) of atmospheric reacting flows, homogeneous and instantaneous mixing of reactants within a grid‐cell is usually assumed. However, highly reactive species are often segregated or pre‐mixed at small scales. In this paper, we propose a parameterization to account for the effect of the unresolved scales on the chemical transformations. Its formulation relies on the description of the subgrid unresolved reactant covariance as a function of the resolved covariance by using scale‐similarity arguments. A dynamic procedure is used to compute the model coefficient from the resolved reactant concentration fields, therefore not requiring any parameter specification or tuning. In simulations of a convective boundary layer with a fast second‐order reaction, using the new model is found to perform better than ignoring subgrid chemistry effects.