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The non-local character of turbulence asymmetry in the convective atmospheric boundary layer

Publication ,  Journal Article
Ghannam, K; Duman, T; Salesky, ST; Chamecki, M; Katul, G
Published in: Quarterly Journal of the Royal Meteorological Society
January 1, 2017

The inadequacy of conventional gradient diffusion in closure modelling of turbulent heat fluxes within the convective atmospheric boundary layer is often alleviated by accounting for non-local transport effects, such as Deardorff's counter-gradient models, Wyngaard's transport asymmetry closures or mass-flux parametrization. This concept of large-eddy flux transport is examined here with the principal aim of unifying these seemingly different models. Using large-eddy simulation (LES) runs for the atmospheric boundary layer, spanning weakly to strongly convective conditions, a generic diagnostic framework that encodes the role of third-order moments in non-local transport is developed and tested. The premise is that these non-local effects are responsible for the inherent asymmetry in vertical transport and hence the necessary non-Gaussian nature of the joint probability density function (JPDF) of vertical velocity and potential temperature must account for these effects. Conditional sampling (quadrant analysis) of this JPDF and the imbalance between the flow mechanisms of ejections and sweeps are used to characterize this asymmetry, which is then linked to the third-order moments using a cumulant-discard method for the Gram–Charlier expansion of the JPDF. While the concept of ejection-sweep events used here is not a simple extension of that commonly used in the surface layer, their connection to third-order moments shows that the concepts of bottom-up/top-down diffusion or updraught/downdraught models are accounted for by various quadrants of the JPDF. An analogy between mass-flux models and the relaxed eddy accumulation method reveals that there is a seemingly implicit assumption of a Gaussian JPDF in the former.

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Published In

Quarterly Journal of the Royal Meteorological Society

DOI

EISSN

1477-870X

ISSN

0035-9009

Publication Date

January 1, 2017

Volume

143

Issue

702

Start / End Page

494 / 507

Related Subject Headings

  • Meteorology & Atmospheric Sciences
  • 3701 Atmospheric sciences
  • 0406 Physical Geography and Environmental Geoscience
  • 0405 Oceanography
  • 0401 Atmospheric Sciences
 

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Ghannam, K., Duman, T., Salesky, S. T., Chamecki, M., & Katul, G. (2017). The non-local character of turbulence asymmetry in the convective atmospheric boundary layer. Quarterly Journal of the Royal Meteorological Society, 143(702), 494–507. https://doi.org/10.1002/qj.2937
Ghannam, K., T. Duman, S. T. Salesky, M. Chamecki, and G. Katul. “The non-local character of turbulence asymmetry in the convective atmospheric boundary layer.” Quarterly Journal of the Royal Meteorological Society 143, no. 702 (January 1, 2017): 494–507. https://doi.org/10.1002/qj.2937.
Ghannam K, Duman T, Salesky ST, Chamecki M, Katul G. The non-local character of turbulence asymmetry in the convective atmospheric boundary layer. Quarterly Journal of the Royal Meteorological Society. 2017 Jan 1;143(702):494–507.
Ghannam, K., et al. “The non-local character of turbulence asymmetry in the convective atmospheric boundary layer.” Quarterly Journal of the Royal Meteorological Society, vol. 143, no. 702, Jan. 2017, pp. 494–507. Scopus, doi:10.1002/qj.2937.
Ghannam K, Duman T, Salesky ST, Chamecki M, Katul G. The non-local character of turbulence asymmetry in the convective atmospheric boundary layer. Quarterly Journal of the Royal Meteorological Society. 2017 Jan 1;143(702):494–507.
Journal cover image

Published In

Quarterly Journal of the Royal Meteorological Society

DOI

EISSN

1477-870X

ISSN

0035-9009

Publication Date

January 1, 2017

Volume

143

Issue

702

Start / End Page

494 / 507

Related Subject Headings

  • Meteorology & Atmospheric Sciences
  • 3701 Atmospheric sciences
  • 0406 Physical Geography and Environmental Geoscience
  • 0405 Oceanography
  • 0401 Atmospheric Sciences