Preprints
https://doi.org/10.5194/egusphere-2023-1657
https://doi.org/10.5194/egusphere-2023-1657
06 Sep 2023
 | 06 Sep 2023

Comparison of the Coastal and Regional Ocean Community Model (CROCO) and NCAR-LES in Non-hydrostatic Simulations

Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Francis Auclair, Peter P. Sullivan, and Paul S. Hall

Abstract. Advances in coastal modeling and computation provide the opportunity for examining non-hydrostatic and compressible fluid effects at very small scales, but the cost of these new capabilities and the accuracy of these models versus trusted non-hydrostatic codes has yet to be determined. Here the Coastal and Regional Ocean COmmunity model (CROCO) and the NCAR Large-Eddy Simulations (NCAR-LES) code base are compared with a focus on their simulation accuracy and computational efficiency. These models differ significantly in numerics and capabilities, so they are run on common classic problems of surface-forced, boundary-layer turbulence. In accuracy, we compare turbulence statistics, including the effect of the explicit sub-grid scale (SGS) parameterization, the effect of the second (dilatational) viscosity and the sensitivity to the speed-of-sound, which is used as part of the CROCO compressible turbulence formulation. To gauge how far CROCO is from the NCAR-LES, we first compare the NCAR-LES with two other LES codes (PALM and Oceanigans). To judge efficiency of CROCO, strong and weak scaling simulation sets vary different problem sizes and workload per processor, respectively. Additionally, the effects of 2D decomposition of CROCO and NCAR-LES and supercomputer settings are tested. In sum, the accuracy comparison between CROCO and the NCAR-LES is similar to the NCAR-LES versus other LES codes. However, the additional capabilities of CROCO (e.g., nesting and realism) and its compressible turbulence formulation come with roughly an order of magnitude of additional costs despite efforts to reduce them by adjusting the second viscosity and sound speed as far as accuracy allows.

Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Francis Auclair, Peter P. Sullivan, and Paul S. Hall

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2023-1657', Juan Antonio Añel, 09 Oct 2023
  • CC1: 'Comment on egusphere-2023-1657', Baylor Fox-Kemper, 10 Oct 2023
    • CEC2: 'Reply on CC1', Juan Antonio Añel, 11 Oct 2023
      • CC2: 'Reply on CEC2', Baylor Fox-Kemper, 11 Oct 2023
        • CEC3: 'Reply on CC2', Juan Antonio Añel, 11 Oct 2023
  • RC1: 'Comment on egusphere-2023-1657', Anonymous Referee #1, 28 Nov 2023
    • AC2: 'Reply on RC1', Xiaoyu Fan, 12 Feb 2024
  • RC2: 'Comment on egusphere-2023-1657', Anonymous Referee #2, 15 Jan 2024
    • AC3: 'Reply on RC2', Xiaoyu Fan, 12 Feb 2024
  • AC1: 'Comment on egusphere-2023-1657', Xiaoyu Fan, 12 Feb 2024
Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Francis Auclair, Peter P. Sullivan, and Paul S. Hall

Data sets

Comparison of the Coastal and Regional Ocean Community Model (CROCO) and NCAR-LES in Non-hydrostatic Simulations Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Francis Auclair, Peter Sullivan, and Paul Hall https://doi.org/10.26300/vpdb-v266

Model code and software

CROCO, Coastal and Regional Ocean COmmunity model Francis Auclair, Rachid Benshila, Xavier Capet, Laurent Debreu, Franck Dumas, Swen Jullien, Patrick Marchesiello https://www.croco-ocean.org/

Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Francis Auclair, Peter P. Sullivan, and Paul S. Hall

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Short summary
Simulations of the oceanic turbulent boundary layer using the nonhydrostatic CROCO ROMS and NCAR-LES models are compared. CROCO and the NCAR-LES are similarly accurate, but CROCO’s additional features (e.g., nesting and realism) and its compressible turbulence formulation carry additional costs.