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A Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies

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  • 1 Department of Earth and Planetary Physics, Graduate School of Science, University of Tokyo, Tokyo, Japan
  • | 2 University of California, Lawrence Livermore National Laboratory, Livermore, California
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Abstract

Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.

Corresponding author address: Dr. Leland Jameson, University of California, Lawrence Livermore National Laboratory, P.O. Box 808, MS L-312, Livermore, CA 94551. Email: jameson3@llnl.gov

Abstract

Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.

Corresponding author address: Dr. Leland Jameson, University of California, Lawrence Livermore National Laboratory, P.O. Box 808, MS L-312, Livermore, CA 94551. Email: jameson3@llnl.gov

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