The WRF with turbulence-resolving capability based on a large-eddy simulation (LES) approach.

turbulencelarge-eddy simulationWRF



Initial contribute: 2019-12-28


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Application-focused categoriesNatural-perspectiveAtmospheric regions

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English {{currentDetailLanguage}} English

Quoted from: https://journals.ametsoc.org/view/journals/bams/98/8/bams-d-15-00308.1.xml 

The WRF with turbulence-resolving capability based on a large-eddy simulation (LES) approach is called WRF-LES. Through very fine (e.g., 50–100 m) grids it can simulate flows in idealized, canonical atmospheric boundary layers as well as realistic, evolving boundary layers driven by large-scale flows. WRF-LES has been verified in planetary boundary layer (PBL) simulations under a spectrum of stability conditions (Mirocha et al. 2010Munoz-Esparza et al. 20142015). To develop a multiscale capability that bridges the mesoscale–microscale gap, ongoing developments include a scale-aware PBL scheme for the 100-m to 1-km range, a turbulence-triggering LES approach, and a surface layer parameterization accounting for surface heterogeneity (see, e.g., Mirocha et al. 2014Aitken et al. 2014Xiao et al. 2015).

WRF-LES is probing the large-eddy scale (Moeng et al. 2007Mirocha et al. 2010) and aims to represent the scales, energies, and transport associated with atmospheric turbulence. It can simulate flows in hurricane boundary layers (Zhu 2008) and across wind farms (Y. Liu et al. 2011), and very high-resolution (e.g., Dx ∼50 m) simulations are being applied to explore both idealized settings (Kirkil et al. 2012) and real-data cases (Talbot et al. 2012). Recent work has significantly improved WRF for large-eddy applications by changing the model’s prognostic formulation of potential temperature (Xiao et al. 2015), with the benefits of avoiding spurious simulated motions and reducing the computational cost of LES runs. Pushing WRF to explore the microscale is helping to shape one of the model’s future roles in atmospheric modeling: addressing scales out of the practical reach of global models while spanning domains beyond which classical large-eddy modeling or direct numerical simulation can be afforded computationally.





Initial contribute : 2019-12-28



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