Abstract
In this work, the flow conditions within urban microspaces are predicted from wind-induced noise. Wind speed and direction are estimated by fitting the spatial coherence of the wind noise distribution among closely spaced microphones measurements to the Corcos model in the least squares sense. The estimated wind speed and direction are compared to measure results. The estimated flow conditions of the measured urban areas are discussed.
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