Improving Prediction of Propagation, Scattering and Reverberation in the Arctic with Application to Remote Acoustic Sensing of Sea Ice

Abstract

A long-term goal is to develop an approach for a combined analysis of measured short-range HF ULS echoes and LF long-range transmission loss time series to provide a wide-area synoptic assessment of ice type distribution. This project includes analysis of two datasets. The first one is comprised of a 300 kHz ULS echo time series obtained during ICEX03. Its analysis resulted in a practical algorithm for remotely distinguishing between first year and multi-year ice types. The second dataset represents a 3.5 kHz TL time series measured at a30m depth / 719m range in a deep (3 km) Arctic ocean during ICEX14. Its analysis resulted in a physics-based model for quantitative interpretation of the entire TL time dependence, including multipath forward propagation signal, affected by ice reflection and refraction in a surface duct, and reverberation coda comprised of bottom and ice reflections and scatterings.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 2020
Accession Number
AD1118935

Entities

People

  • Anatoliy Ivakin

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Propagation
  • Acoustic Properties
  • Acoustics
  • Arctic Ocean
  • Attenuation
  • Backscattering
  • Computer Simulations
  • Data Analysis
  • Data Sets
  • Detection
  • Elastic Properties
  • Frequency
  • Measurement
  • Ocean Environments
  • Physics Laboratories
  • Transmission Loss

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Polar and Arctic Studies