Acoustic inversion for Monin-Obukhov similarity parameters from wind noise in a convective boundary layer

• DOI: 10.1121/1.5053106
• Publication Date: 2018-09-10T17:29:19Z
• Authors: Carl R. Hart; Edward T. Nykaza; Michael J. White
• Keywords: Convective Boundary Layer; Ambient noise level

The prediction accuracy of outdoor sound is in large part limited by uncertainties the state atmosphere. These can potentially be reduced inferring scaling parameters atmospheric surface layer from wind noise. Screened microphones sense noise as a result mean flow, turbulent eddy interaction with windscreen, and pressure fluctuations within flow. Under conditions terrain homogeneity quasi-steadiness, Monin-Obukhov similarity theory (MOST) states that only handful governs dynamics layer. This study explores relationships to acoustic spectrum convective boundary Ambient data collected high desert during 2007 long-range propagation experiment are analyzed for purposes establishing nondimensional empirical relationship between power MOST parameters. Furthermore, this paper examines consequences surface-layer different parameter priors. shows that, minimizing variance inversion, most important constrain Obukhov length.