Simulating real atmospheric boundary layers at gray-zone resolutions: How do currently available turbulence parameterizations perform?

Recent computational and modeling advances have led a diverse modeling community to experiment with atmospheric boundary layer (ABL) simulations at subkilometer horizontal scales. Accurately parameterizing turbulence at these scales is a complex problem. The modeling solutions proposed to date are still in the development phase and remain largely unvalidated. This work assesses the performance of methods currently available in the Weather Research and Forecasting (WRF) model to represent ABL turbulence at a gray-zone grid spacing of 333 m. We consider three one-dimensional boundary layer parameterizations (MYNN, YSU and Shin-Hong) and coarse large-eddy simulations (LES). The reference dataset consists of five real-case simulations performed with WRF-LES nested down to 25 m. Results reveal that users should refrain from coarse LES and favor the scale-aware, Shin-Hong parameterization over traditional one-dimensional schemes. Overall, the spread in model performance is large for the cellular convection regime corresponding to the majority of our cases, with coarse LES overestimating turbulent energy across scales and YSU underestimating it and failing to reproduce its horizontal structure. Despite yielding the best results, the Shin-Hong scheme overestimates the effect of grid dependence on turbulent transport, highlighting the outstanding need for improved solutions to seamlessly parameterize turbulence across scales.

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Author Doubrawa, Paula
Muñoz-Esparza, Domingo
Publisher UCAR/NCAR - Library
Publication Date 2020-03-31T00:00:00
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Metadata Date 2023-08-18T18:31:55.286410
Metadata Record Identifier edu.ucar.opensky::articles:23442
Metadata Language eng; USA
Suggested Citation Doubrawa, Paula, Muñoz-Esparza, Domingo. (2020). Simulating real atmospheric boundary layers at gray-zone resolutions: How do currently available turbulence parameterizations perform?. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d79g5r2n. Accessed 02 July 2025.

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