Abstract
Abstract : Equations for estimating wind speed and rain rate from underwater noise are derived in this paper. Data from both this study and other published studies were used. Data for this study were collected during Oct and Nov 1988 off south Florida in 50 m of water. Noise levels at 12 frequencies from 0.5 to 30 kHz were recorded, edited and grouped. Regression was used to derive site- specific prediction equations for wind speed and rain rate. The best-fit equations were all linear in sound-pressure level. The best wind-speed predictor, during rain, required both the 2 and 8 kHz frequencies. Data from this study were combined with data from other studies. Regression was used to derive universal prediction equations. These equations were also linear in sound-pressure level. They also required the same predictor frequencies (2 and 8 kHz) as the site-specific equations. However, they were much less accurate, especially for predicting rain rate. For most accurate predictions of wind speed and rain rate from underwater noise, site-specific equations should be derived and used.
Published Version
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