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Related Experiment Videos

Model-oriented ocean tomography using higher frequency, bottom-mounted hydrophones.

James K Lewis1, Jason Rudzinsky, Subramaniam Rajan

  • 1Scientific Solutions, Inc., 4875 Kikala Road, Kalaheo, Hawaii 96741, USA.

The Journal of the Acoustical Society of America
|July 16, 2005
PubMed
Summary
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Active Acoustic Monitoring of Aquatic Life.

Advances in experimental medicine and biology·2015

This study uses ocean acoustic data to improve ocean models. Techniques were developed to correct for surface wave effects, leading to more accurate ocean circulation predictions.

Area of Science:

  • Oceanography
  • Acoustics
  • Data Assimilation

Background:

  • Oceanographic models benefit from real-world data assimilation.
  • Ocean surface motion introduces variability in acoustic travel times.
  • Accurate acoustic travel time measurements are crucial for oceanographic insights.

Purpose of the Study:

  • To develop a tomographic scheme for ingesting ocean acoustic measurements into ocean models.
  • To address and remove variability caused by ocean surface motion in acoustic travel times.
  • To investigate an assimilation technique for correcting oceanographic models using acoustic travel time differences.

Main Methods:

  • Utilizing bottom-mounted hydrophones for ocean acoustic measurements.
  • Applying techniques to measure and correct acoustic travel times influenced by surface waves.

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  • Deriving equations relating travel time differences to oceanographic variables.
  • Estimating acoustic and ocean model error covariance matrices.

    • Main Results:

    • A single source-receiver pair demonstrated that tomographic data can constrain ocean circulation models but may introduce biases.
    • Utilizing prior knowledge of model bias in a second test case significantly improved model predictions without introducing new biases.
    • The developed assimilation technique successfully improved model predictions when applied judiciously.

    Conclusions:

    • Ocean acoustic tomography offers a valuable method for enhancing oceanographic models.
    • Careful application of tomographic data, considering model biases, is essential for accurate predictions.
    • The developed techniques effectively mitigate surface wave effects and improve ocean circulation modeling.