Comparison of surface wind noise predictions from mirror flow and rapid-distortion models of atmospheric turbulence

• Published in: The Journal of the Acoustical Society of America 2016-04, Vol.139 (4), p.2098-2099
• Main Authors: Lyons, Gregory W., Yu, Jiao, Raspet, Richard
• Format: Article
• Language: English
• ISSN: 0001-4966; 1520-8524
• DOI: 10.1121/1.4950232

For atmospheric acoustic measurements at the ground surface, the principal source of the intrinsic wind noise is shearing of the turbulence by the mean flow. The pressure spectra from this turbulence-shear mechanism depend on two-point statistics of the anisotropic, inhomogeneous atmospheric turbulence. The inhomogeneity of the surface-normal velocity component can be realistically modeled by the mirror flow, which is a superposition of two correlated isotropic turbulent fields in transformed coordinates. Another analytical framework is rapid-distortion theory, which approximates the turbulence as the result of linearized distortion of an initially homogeneous field by the mean flow. This study compares turbulence-shear spectra calculated with the mirror flow model and rapid-distortion models for both surface blocking effects and mean shear distortion. For each case, the model parameters are estimated by fits to the single-point velocity spectra recorded in a recent experiment near Laramie, Wyoming. The subsequent model predictions for the wind noise spectra are compared with simultaneous measurements from flush-mounted infrasound sensors. [Work supported by the U.S. Army Research Laboratory (Grant No. W911NF-13-2-0021) and the National Natural Science Foundation of China (Grant No. 11304137).]