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Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats

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Passive sea ice thickness inference using cryophones.

D Benjamin Reeder¹, John E Joseph¹, S Kyle Wheeler¹

¹Department of Oceanography, Naval Postgraduate School, 1 University Circle, Monterey, California 93943, USAdbreeder@nps.edu, jejoseph@nps.edu, stephen.wheeler@nps.edu.

JASA Express Letters

|March 5, 2024

Summary

This summary is machine-generated.

Researchers monitored Arctic sea ice using passive acoustic methods to measure wave resonances. This technique successfully inferred sea ice thickness, showing potential for remote and autonomous sea ice monitoring.

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Area of Science:

Geophysics
Oceanography
Materials Science

Background:

Mechanical properties of Arctic sea ice are crucial for understanding its behavior.
Previous methods for inferring ice properties relied on active signal generation and wave speed measurements.

Purpose of the Study:

To assess the feasibility of using passive acoustic observations for monitoring Arctic sea ice.
To infer sea ice thickness using compressional wave resonances.

Main Methods:

Utilized passive cryophone observations to detect naturally occurring compressional wave resonances in sea ice.
Analyzed wave resonances during the ICEX20 and ARCEX23 field campaigns.

Main Results:

Successfully inferred average first-year ice thicknesses of 1.3 m (ICEX20) and 1.6 m (ARCEX23).
Results showed consistency with independent sea ice thickness observations.

Conclusions:

Passive acoustic monitoring of sea ice resonances is a viable method for inferring ice thickness.
This approach demonstrates potential for remote and autonomous monitoring of Arctic sea ice conditions.