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Cross-correlation sensitivity kernels with respect to noise source distribution.

E K Skarsoulis1, B D Cornuelle2

  • 1Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas, P.O. Box 1527, 711 10 Heraklion, Crete, Greece.

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Summary
This summary is machine-generated.

Analyzing underwater acoustic data reveals how noise source locations impact the accuracy of seismic imaging. This study optimizes noise source identification for better oceanographic research and seismic analysis.

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Area of Science:

  • Oceanography
  • Acoustics
  • Seismology

Background:

  • Cross-correlating underwater noise fields between receivers estimates the Green's function.
  • This method's effectiveness relies on receiver/source characteristics and ocean sound channel properties.

Purpose of the Study:

  • To investigate the sensitivity of finite-frequency noise cross-correlation functions to noise source location and amplitude.
  • To account for the refractive properties of the ocean environment in this analysis.

Main Methods:

  • Utilizing sensitivity kernels to model changes in cross-correlation envelopes.
  • Analyzing the impact of noise source distribution on the cross-correlation output.

Main Results:

  • Identified noise source locations with the greatest influence on cross-correlation results.
  • Demonstrated the importance of ocean sound channel refraction in noise correlation analysis.

Conclusions:

  • Noise source characteristics significantly affect underwater acoustic data interpretation.
  • Sensitivity kernels are valuable tools for optimizing noise source localization in oceanographic studies.