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The effects of environmental variability and spatial sampling on the three-dimensional inversion problem. | LitMetric

The effects of environmental variability and spatial sampling on the three-dimensional inversion problem.

J Acoust Soc Am

Department of Mechanical Engineering and Applied Research Laboratories, The University of Texas at Austin, P.O. Box 8029, Austin, Texas 78713-8029.

Published: June 2014

AI Article Synopsis

  • The study aims to assess how environmental changes and sampling methods influence the accuracy of ocean sound-speed estimates.
  • It uses acoustic data from an autonomous observing system and a perturbative inversion method to estimate sound speed in the ocean.
  • The research highlights that while a single source-receiver pair can work for stable conditions, varied environments may lead to uncertainty in results, which is explored through case studies with synthetic data.

Article Abstract

The overall goal of this work is to quantify the effects of environmental variability and spatial sampling on the accuracy and uncertainty of estimates of the three-dimensional ocean sound-speed field. In this work, ocean sound speed estimates are obtained with acoustic data measured by a sparse autonomous observing system using a perturbative inversion scheme [Rajan, Lynch, and Frisk, J. Acoust. Soc. Am. 82, 998-1017 (1987)]. The vertical and horizontal resolution of the solution depends on the bandwidth of acoustic data and on the quantity of sources and receivers, respectively. Thus, for a simple, range-independent ocean sound speed profile, a single source-receiver pair is sufficient to estimate the water-column sound-speed field. On the other hand, an environment with significant variability may not be fully characterized by a large number of sources and receivers, resulting in uncertainty in the solution. This work explores the interrelated effects of environmental variability and spatial sampling on the accuracy and uncertainty of the inversion solution though a set of case studies. Synthetic data representative of the ocean variability on the New Jersey shelf are used.

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Source
http://dx.doi.org/10.1121/1.4874602DOI Listing

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