Second-moment budgets in cloud topped boundary layers: A large-eddy simulation study

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Heinze, Rieke; Mironov, Dmitrii; Raasch, Siegfried: Second-moment budgets in cloud topped boundary layers: A large-eddy simulation study. In: Journal of Advances in Modeling Earth Systems 7 (2015), Nr. 2, S. 510-536. DOI:

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Sum total of downloads: 418

A detailed analysis of second-order moment budgets for cloud topped boundary layers (CTBLs) is performed using high-resolution large-eddy simulation (LES). Two CTBLs are simulated—one with trade wind shallow cumuli, and the other with nocturnal marine stratocumuli. Approximations to the ensemble-mean budgets of the Reynolds-stress components, of the fluxes of two quasi-conservative scalars, and of the scalar variances and covariance are computed by averaging the LES data over horizontal planes and over several hundred time steps. Importantly, the subgrid scale contributions to the budget terms are accounted for. Analysis of the LES-based second-moment budgets reveals, among other things, a paramount importance of the pressure scrambling terms in the Reynolds-stress and scalar-flux budgets. The pressure-strain correlation tends to evenly redistribute kinetic energy between the components, leading to the growth of horizontal-velocity variances at the expense of the vertical-velocity variance which is produced by buoyancy over most of both CTBLs. The pressure gradient-scalar covariances are the major sink terms in the budgets of scalar fluxes. The third-order transport proves to be of secondary importance in the scalar-flux budgets. However, it plays a key role in maintaining budgets of TKE and of the scalar variances and covariance. Results from the second-moment budget analysis suggest that the accuracy of description of the CTBL structure within the second-order closure framework strongly depends on the fidelity of parameterizations of the pressure scrambling terms in the flux budgets and of the third-order transport terms in the variance budgets.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
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1 image of flag of Germany Germany 300 71.77%
2 image of flag of China China 53 12.68%
3 image of flag of United States United States 35 8.37%
4 image of flag of Russian Federation Russian Federation 4 0.96%
5 image of flag of Netherlands Netherlands 4 0.96%
6 image of flag of France France 3 0.72%
7 image of flag of Czech Republic Czech Republic 2 0.48%
8 image of flag of Canada Canada 2 0.48%
9 image of flag of Estonia Estonia 1 0.24%
10 image of flag of Cote D'Ivoire Cote D'Ivoire 1 0.24%
    other countries 13 3.11%

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