Abstract
Measuring rainfall over the ocean poses significant challenges with conventional rain gauges, and compared to localized rain events and in-situ measurements, satellite observations also encounter significant challenges in delivering accurate results. However, the distinct and loud acoustic signals produced by rainfall can be used to estimate precipitation rates, even at deeper depths. This study presents an empirical algorithm for estimating precipitation rates from ocean ambient noise within the frequency range of 1–10 kHz in the deep waters of Lakshadweep. The approach relies on regression analysis of measurements and the corresponding derived coefficients. The comparative analysis between the proposed and reference algorithms elucidate distinct error patterns, error percentages below 2 % are observed under high precipitation rates towards higher frequency, contrasting with error percentages exceeding 10 % at higher precipitation rates towards lower frequency.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
