How Do Dust Devil-Like Vortices Depend on Model Resolution? A Grid Convergence Study Using Large-Eddy Simulation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Sebastian Giersch
  • Siegfried Raasch
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Details

OriginalspracheEnglisch
Seiten (von - bis)703–742
Seitenumfang40
FachzeitschriftBoundary-Layer Meteorology
Jahrgang187
Ausgabenummer3
Frühes Online-Datum6 März 2023
PublikationsstatusVeröffentlicht - Juni 2023

Abstract

Dust devils are organized convective vortices with pressure drops of hundreds of pascals that spirally lift surface material into the air. This material modifies the radiation budget by contributing to the atmospheric aerosol concentration. Quantification of this contribution requires good knowledge of the dust devil statistics and dynamics. The latter can also help to understand vortex genesis, evolution and decay, in general. Dust devil-like vortices are numerically investigated mainly by large-eddy simulation (LES). A critical parameter in these simulations is the grid spacing, which has a great influence on the dust devil statistics. So far, it is unknown which grid size is sufficient to capture dust devils accurately. We investigate the convergence of simulated convective vertical vortices that resemble dust devils by using the LES model PALM. We use the nesting capabilities of PALM to explore grid spacings from 10 to 0.625 m. Grid spacings of 1 m or less have never been used for the analysis of dust devil-like vortices that develop in a horizontal domain of more than 10 km2. Our results demonstrate that a minimum resolution of 1.25 m is necessary to achieve a convergence for sample-averaged quantities like the core pressure drop. This grid spacing or smaller should be used for future quantifications of dust devil sediment fluxes. However, sample maxima of the investigated dust devil population and peak velocity values of the general flow show no convergence. If a qualitative description of the dust devil flow pattern is sufficient, we recommend a grid spacing of 2.5 m or smaller.

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How Do Dust Devil-Like Vortices Depend on Model Resolution? A Grid Convergence Study Using Large-Eddy Simulation. / Giersch, Sebastian; Raasch, Siegfried.
in: Boundary-Layer Meteorology, Jahrgang 187, Nr. 3, 06.2023, S. 703–742.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Giersch S, Raasch S. How Do Dust Devil-Like Vortices Depend on Model Resolution? A Grid Convergence Study Using Large-Eddy Simulation. Boundary-Layer Meteorology. 2023 Jun;187(3):703–742. Epub 2023 Mär 6. doi: 10.1007/s10546-023-00792-3
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abstract = "Dust devils are organized convective vortices with pressure drops of hundreds of pascals that spirally lift surface material into the air. This material modifies the radiation budget by contributing to the atmospheric aerosol concentration. Quantification of this contribution requires good knowledge of the dust devil statistics and dynamics. The latter can also help to understand vortex genesis, evolution and decay, in general. Dust devil-like vortices are numerically investigated mainly by large-eddy simulation (LES). A critical parameter in these simulations is the grid spacing, which has a great influence on the dust devil statistics. So far, it is unknown which grid size is sufficient to capture dust devils accurately. We investigate the convergence of simulated convective vertical vortices that resemble dust devils by using the LES model PALM. We use the nesting capabilities of PALM to explore grid spacings from 10 to 0.625 m. Grid spacings of 1 m or less have never been used for the analysis of dust devil-like vortices that develop in a horizontal domain of more than 10 km2. Our results demonstrate that a minimum resolution of 1.25 m is necessary to achieve a convergence for sample-averaged quantities like the core pressure drop. This grid spacing or smaller should be used for future quantifications of dust devil sediment fluxes. However, sample maxima of the investigated dust devil population and peak velocity values of the general flow show no convergence. If a qualitative description of the dust devil flow pattern is sufficient, we recommend a grid spacing of 2.5 m or smaller.",
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AU - Raasch, Siegfried

N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. The work by Sebastian Giersch was funded by the German Research Foundation (DFG) under Grant RA 617/31-1 and supported by the North-German Supercomputing Alliance (HLRN). Siegried Raasch supported the work as part of his employment at the Leibniz University Hannover.

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