Abstract Extreme weather events pose significant risks to coastal and offshore energy infrastructure. In this work, we investigate the structure of mean winds and turbulence near the surface that occurred during Hurricane Laura in 2020 on the US Gulf Coast. To this end, we perform turbulence‐resolving simulations that encompass the entire eyewall of Hurricane Laura by introducing a novel method that we will refer to as Moving‐Mesoscale to Static‐LES Integrated Coupling (MOSAIC). The simulation results are validated against surface, boundary‐layer, and mid‐tropospheric observations. Our analysis of the extreme wind conditions near the surface indicates that the mean wind and turbulence profiles vary greatly at and near the eyewall, resulting in extreme values of mean wind speed and turbulence kinetic energy at altitudes above . To investigate in detail the nature of turbulence within the eyewall of the storm, we conduct higher‐resolution simulations of a portion of the hurricane. We provide a comprehensive statistical description of turbulence in the eyewall region, highlighting the need to employ grid spacing to capture the integral length‐scales near the surface, second‐ and higher‐order central moments (i.e., skewness and kurtosis), and spectral coherence in the flow accurately. These numerical simulations provide the most detailed description of mean winds and turbulent conditions within the eyewall of a historical tropical cyclone to date, illustrating how high‐resolution simulations can enhance limited turbulence measurements in hurricanes and giving insight into the extreme conditions threatening offshore and coastal infrastructure.
Gomez et al. (Fri,) studied this question.
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