Vertically nested les for high-resolution simulation of the surface layer in PALM (version 5.0)

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Sadiq Huq
  • Frederik De Roo
  • Siegfried Raasch
  • Matthias Mauder

Externe Organisationen

  • Karlsruher Institut für Technologie (KIT)
  • Meteorologisk Institutt (MET)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)2523-2538
Seitenumfang16
FachzeitschriftGeoscientific model development
Jahrgang12
Ausgabenummer6
Frühes Online-Datum28 Juni 2019
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 28 Juni 2019

Abstract

Large-eddy simulation (LES) has become a well-established tool in the atmospheric boundary layer research community to study turbulence. It allows three-dimensional realizations of the turbulent fields, which large-scale models and most experimental studies cannot yield. To resolve the largest eddies in the mixed layer, a moderate grid resolution in the range of 10 to 100 m is often sufficient, and these simulations can be run on a computing cluster with a few hundred processors or even on a workstation for simple configurations. The desired resolution is usually limited by the computational resources. However, to compare with tower measurements of turbulence and exchange fluxes in the surface layer, a much higher resolution is required. In spite of the growth in computational power, a high-resolution LES of the surface layer is often not feasible: to fully resolve the energy-containing eddies near the surface, a grid spacing of O(1 m) is required. One way to tackle this problem is to employ a vertical grid nesting technique, in which the surface is simulated at the necessary fine grid resolution, and it is coupled with a standard, coarse, LES that resolves the turbulence in the whole boundary layer. We modified the LES model PALM (Parallelized Large-eddy simulation Model) and implemented a two-way nesting technique, with coupling in both directions between the coarse and the fine grid. The coupling algorithm has to ensure correct boundary conditions for the fine grid. Our nesting algorithm is realized by modifying the standard third-order Runge-Kutta time stepping to allow communication of data between the two grids. The two grids are concurrently advanced in time while ensuring that the sum of resolved and sub-grid-scale kinetic energy is conserved. We design a validation test and show that the temporally averaged profiles from the fine grid agree well compared to the reference simulation with high resolution in the entire domain. The overall performance and scalability of the nesting algorithm is found to be satisfactory. Our nesting results in more than 80 % savings in computational power for 5 times higher resolution in each direction in the surface layer.

ASJC Scopus Sachgebiete

Zitieren

Vertically nested les for high-resolution simulation of the surface layer in PALM (version 5.0). / Huq, Sadiq; De Roo, Frederik; Raasch, Siegfried et al.
in: Geoscientific model development, Jahrgang 12, Nr. 6, 28.06.2019, S. 2523-2538.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Huq S, De Roo F, Raasch S, Mauder M. Vertically nested les for high-resolution simulation of the surface layer in PALM (version 5.0). Geoscientific model development. 2019 Jun 28;12(6):2523-2538. Epub 2019 Jun 28. doi: 10.5194/gmd-12-2523-2019, 10.15488/5052
Huq, Sadiq ; De Roo, Frederik ; Raasch, Siegfried et al. / Vertically nested les for high-resolution simulation of the surface layer in PALM (version 5.0). in: Geoscientific model development. 2019 ; Jahrgang 12, Nr. 6. S. 2523-2538.
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abstract = "Large-eddy simulation (LES) has become a well-established tool in the atmospheric boundary layer research community to study turbulence. It allows three-dimensional realizations of the turbulent fields, which large-scale models and most experimental studies cannot yield. To resolve the largest eddies in the mixed layer, a moderate grid resolution in the range of 10 to 100 m is often sufficient, and these simulations can be run on a computing cluster with a few hundred processors or even on a workstation for simple configurations. The desired resolution is usually limited by the computational resources. However, to compare with tower measurements of turbulence and exchange fluxes in the surface layer, a much higher resolution is required. In spite of the growth in computational power, a high-resolution LES of the surface layer is often not feasible: to fully resolve the energy-containing eddies near the surface, a grid spacing of O(1 m) is required. One way to tackle this problem is to employ a vertical grid nesting technique, in which the surface is simulated at the necessary fine grid resolution, and it is coupled with a standard, coarse, LES that resolves the turbulence in the whole boundary layer. We modified the LES model PALM (Parallelized Large-eddy simulation Model) and implemented a two-way nesting technique, with coupling in both directions between the coarse and the fine grid. The coupling algorithm has to ensure correct boundary conditions for the fine grid. Our nesting algorithm is realized by modifying the standard third-order Runge-Kutta time stepping to allow communication of data between the two grids. The two grids are concurrently advanced in time while ensuring that the sum of resolved and sub-grid-scale kinetic energy is conserved. We design a validation test and show that the temporally averaged profiles from the fine grid agree well compared to the reference simulation with high resolution in the entire domain. The overall performance and scalability of the nesting algorithm is found to be satisfactory. Our nesting results in more than 80 % savings in computational power for 5 times higher resolution in each direction in the surface layer.",
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AU - Huq, Sadiq

AU - De Roo, Frederik

AU - Raasch, Siegfried

AU - Mauder, Matthias

N1 - Funding information: Author contributions. SH was the main developer of the model code, with FDR as side developer, SR supporting the code development and MM, SR and FDR supervising the development. The experiment was designed by SH, FDR, SR and MM and carried out by SH, who also performed the validation. Visualization was done by SH and the original draft written by SH and FDR, with review and editing by SR and MM. MM was responsible for funding acquisition and administration.

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