A dynamic similarity subgrid model for chemical transformations in large-eddy simulation of the atmospheric boundary layer

Details A dynamic similarity subgrid model for chemical transformations in large-eddy simulation of the atmospheric boundary layer A dynamic similarity subgrid model for chemical transformations in large-eddy simulation of the atmospheric boundary layer

Feb 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3203814v&link_type=abstract

Geophysical Research Letters, Volume 32, Issue 3, CiteID L03814

Physics

3

Atmospheric Composition And Structure: Troposphere: Composition And Chemistry, Atmospheric Processes: Atmospheric Electricity, Atmospheric Processes: Global Climate Models (1626, 4928), Atmospheric Processes: Turbulence (4490)

Scientific paper

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.

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