What question did this study set out to answer?

The aim is to utilize a cryoacoustic model to predict evolving ice properties in the Beaufort Sea based on acoustic data.

Cryoacoustic inversion for Beaufort Sea ice properties during 2016–2017 using a rough, layered acousto-elastic reflection coefficient model

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial evaluates acoustic properties of ice in the Arctic, suggesting significant variability influenced by thickness and frequency.

The aim is to utilize a cryoacoustic model to predict evolving ice properties in the Beaufort Sea based on acoustic data.
Performed during the Canada Basin Acoustic Propagation Experiment (2016-2017) with a seven-mooring array over 150 km
Used broadband acoustic transmissions at various frequencies to analyze ice reflection
Implemented a four-layer acousto-elastic reflection model incorporating roughness for Bayesian inversion.
Maximum excess transmission loss per surface reflection fluctuates between 2–6 dB based on frequency and angle, P<0.05.
Transmission loss correlates to ice thickness, confirming earlier findings from Worcester et al. (2024).
Cryoacoustic model predictions align with observed ice drafts and established ice parameters.

Levay et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

Randomized trial evaluates acoustic properties of ice in the Arctic, suggesting significant variability influenced by thickness and frequency.