A posteriori subgrid-scale model tests based on the conditional means of subgrid-scale stress and its production rate
Traditional a posteriori tests of subgrid-scale (SGS) models often compare large eddy simulation (LES) profiles of various statistics with measurements. In this study we propose and employ a new a posteriori test to study SGS model performance. We compare the conditional means of the LES-generated SGS stress and stress production rate conditional on the resolvable-scale velocity with measurements. These statistics must be reproduced by the SGS model for LES to correctly predict the one-point resolvable-scale velocity joint probability density function. Our tests using data obtained in convective atmospheric boundary layers show that the a posteriori results are consistent with our a priori tests based on the same conditional statistics. The strengths and deficiencies of the models observed here were also identified in our a priori tests. The remarkable consistency between the two types of tests suggests that statistical model tests based on the conditional SGS stress and its production rate are a highly capable approach for identifying specific model deficiencies and for evaluating SGS model performance in simulations.
document
https://n2t.org/ark:/85065/d7ws8v9j
eng
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Text
publication
2016-01-01T00:00:00Z
publication
2009-05-01T00:00:00Z
An edited version of this paper was published by the Cambridge University Press. Copyright 2009 Cambridge University Press.
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