Addressing the Grid-Size Sensitivity Issue in Large-Eddy Simulations of Stable Boundary Layers

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Yi Dai
  • Sukanta Basu
  • Björn Maronga
  • Stephan R. de Roode

External Research Organisations

  • University of Bergen (UiB)
  • Delft University of Technology
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Details

Original languageEnglish
Pages (from-to)63-89
Number of pages27
JournalBoundary-Layer Meteorology
Volume178
Issue number1
Early online date24 Aug 2020
Publication statusPublished - Jan 2021

Abstract

We have identified certain fundamental limitations of a mixing-length parametrization used in a popular turbulent kinetic energy-based subgrid-scale model. Replacing this parametrization with a more physically realistic one significantly improves the overall quality of the large-eddy simulation (LES) of stable boundary layers. For the range of grid sizes considered here (specifically, 1 m–12.5 m), the revision dramatically reduces the grid-size sensitivity of the simulations. Most importantly, the revised scheme allows us to reliably estimate the first- and second-order statistics of a well-known LES intercomparison case, even with a coarse grid size of O(10 m).

Keywords

    Buoyancy length scale, Prandtl number, Stable boundary layer, Subgrid-scale model

ASJC Scopus subject areas

Cite this

Addressing the Grid-Size Sensitivity Issue in Large-Eddy Simulations of Stable Boundary Layers. / Dai, Yi; Basu, Sukanta; Maronga, Björn et al.
In: Boundary-Layer Meteorology, Vol. 178, No. 1, 01.2021, p. 63-89.

Research output: Contribution to journalArticleResearchpeer review

Dai Y, Basu S, Maronga B, de Roode SR. Addressing the Grid-Size Sensitivity Issue in Large-Eddy Simulations of Stable Boundary Layers. Boundary-Layer Meteorology. 2021 Jan;178(1):63-89. Epub 2020 Aug 24. doi: 10.1007/s10546-020-00558-1
Dai, Yi ; Basu, Sukanta ; Maronga, Björn et al. / Addressing the Grid-Size Sensitivity Issue in Large-Eddy Simulations of Stable Boundary Layers. In: Boundary-Layer Meteorology. 2021 ; Vol. 178, No. 1. pp. 63-89.
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