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Simulation of acoustic reflection and backscatter from arctic sea-ice
Nicholas P Chotiros1, Gaye Bayrakci2, Oliver Sanford3
1Applied Research Laboratories, The University of Texas at Austin, Texas 78758, USA.
The Journal of the Acoustical Society of America
|June 9, 2023
Summary
Upward-looking sonar can characterize Arctic sea ice thickness and properties by analyzing acoustic signals. Sea ice roughness impacts signal quality, with moderate roughness improving data while excessive roughness hinders analysis.
Area of Science:
- Oceanography
- Acoustics
- Geophysics
Background:
- The Arctic ocean is rapidly warming, necessitating advanced methods for monitoring sea ice.
- Autonomous underwater vehicles equipped with upward-looking sonars present a viable solution for sea ice characterization.
Purpose of the Study:
- To investigate the potential of upward-looking sonar for characterizing Arctic sea ice.
- To analyze the relationship between acoustic signals and sea ice properties like thickness and mechanical characteristics.
Main Methods:
- Numerical simulations using wavenumber integration code were performed for sonar signals under smooth ice.
- Analysis of sonar frequency and bandwidth requirements for pulse-echo measurements.
- Simulations of acoustic reflection from rough water-ice interfaces.
Main Results:
- Significant information about sea ice properties can be extracted from acoustic signals, even in attenuating ice.
- Discrete resonance frequencies correlate with the shear wave speed-to-thickness ratio.
- Signal periodicity relates to compressional wave speed-to-thickness ratio, and decay rates indicate attenuation coefficients.
- Moderate sea ice roughness enhances acoustic signals, whereas high roughness degrades characterization.
Conclusions:
- Upward-looking sonar is a promising technology for monitoring Arctic sea ice.
- Acoustic signal analysis provides insights into sea ice thickness, mechanical properties, and attenuation.
- Sea ice surface roughness is a critical factor influencing the effectiveness of sonar-based characterization.
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