Simulation of acoustic reflection and backscatter from arctic sea-ice

Chotiros, Nicholas P.; Bayrakci, Gaye; Sanford, Oliver; Clarke, Timothy; Best, Angus I. ORCID: https://orcid.org/0000-0001-9558-4261. 2023 Simulation of acoustic reflection and backscatter from arctic sea-ice. The Journal of the Acoustical Society of America, 153 (6), 3258. https://doi.org/10.1121/10.0019636

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Official URL: http://dx.doi.org/10.1121/10.0019636

Abstract/Summary

The rapidly warming Arctic ocean demands new ways to monitor and characterize changes in sea-ice distribution, thickness, and mechanical properties. Upward-looking sonars mounted on autonomous underwater vehicles offer possibilities for doing so. Numerical simulations were made of the signal received by an upward-looking sonar under a smooth ice sheet using a wavenumber integration code. Demands on sonar frequency and bandwidth for pulse-echo measurements were analyzed. For typical sea-ice physical properties found in the Arctic ocean, even in highly attenuating sea-ice, there is significant information to be extracted from the received acoustic signal. Discrete resonance frequencies in the signal may be related to leaky Lamb waves, and the frequencies are connected to the ratio of the shear wave speed-to-thickness of the ice sheet. The periodicity of the multiple reflections of a pulse-compressed signal may be related to the ratio of compressional wave speed-to- thickness. Decay rates of both types of signals are indicative of the wave attenuation coefficients. Simulations of the acoustic reflection by rough water–ice interfaces were made. Smaller levels of roughness were found to enhance the acoustic signal, while greater levels of roughness are detrimental to the sea-ice characterization process.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1121/10.0019636
ISSN:	0001-4966
Date made live:	27 Jun 2023 12:57 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535072

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1121/10.0019636

ISSN:

0001-4966

Date made live:

27 Jun 2023 12:57 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/535072