Work

Rainfall estimation through ambient noise measurements in the deep waters of the southeast Arabian Sea

Year: 2024

Type: article

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.

Source: Measurement

DOI: 10.1016/j.measurement.2024.115793

Authors: K.K Noufal, M.C Sanjana, G. Latha, G. Raguraman, M. Arul Muthiah

Institutions: National Institute of Ocean Technology, Ministry of Earth Sciences

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: hybrid

Estimated APC paid: $3,650