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Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse

Authors :
Yuriy Titchenko
Guo Jie
Vladimir Karaev
Kirill Ponur
Maria Ryabkova
Vladimir Baranov
Vladimir Ocherednik
Yijun He
Source :
Remote Sensing, Vol 16, Iss 2, p 418 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

To obtain new information about surface waves, it is proposed to use an underwater acoustic wave gauge, and an assessment of its effectiveness can be performed using a numerical simulation and field experiment. A new device, an underwater acoustic wave gauge named “Kalmar”, was developed by the Institute of Applied Physics of the Russian Academy of Sciences for long-term, all-weather monitoring of wind waves. The instrument uses ultrasound to probe the water surface from underwater and can be used to verify remote sensing data. In this work, the capabilities of the device are tested and compared with ADCP data. Two independent methods for processing underwater acoustic wave gauge data are discussed and compared. One of them is completely new for acoustic measurements and is based on the analysis of the shape of the reflected acoustic pulse averaged over space and time. The other allows processing individual reflected pulses and calculating the time implementation of the distance to the water surface. It is shown that two independent methods of significant wave height retrieval from the acoustic wave gauge measurements are highly correlated. The “Kalmar” acoustic wave gauge and the RDI WH-600 acoustic Doppler current profiler operated simultaneously at the test site in Gelendzhik from 1 February to 10 February 2020. The significant wave heights measured by the two instruments are in good agreement.

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.8c7aa344b94890069bb707fc8ab
Document Type :
article
Full Text :
https://doi.org/10.3390/rs16020418