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Published August 11, 2020 | Version v1
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The Gulf of Mexico Eddy Dataset (GOMED), a census of statistically significant eddy-like events from all available surface drifter data

  • 1. Theiss Research
  • 2. CICESE

Description

This dataset uses trajectory data from a large set of drifters to extract and analyze displacement signals associated with coherent eddies in the Gulf of Mexico, using a multivariate wavelet ridge analysis as presented in Lilly and Pérez-Brunius (2020). The data includes eddy displacement signals for all ridges, as well as the time-varying ellipse parameters and estimated ellipse center location. The instantaneous frequency is also included, as is the instantaneous bias estimate derived by Lilly and Olhede (2012). The data are organized as appended trajectory data that can be readily separated through the use of the "ids" field.  The ridge length (\(L_*\)),and ridge-averaged circularity (\(\varsigma_\star\))  are also included, as is measure of statistical significance denoted by (\(\rho_\star\)). The dataset is available for download as a NetCDF file.

 Lilly, J. M. and P. Pérez-Brunius: Extracting statistically significant eddy signals from large Lagrangian datasets, with application to the Gulf of Mexico. 2020. 

Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600–612, 2012.

Notes

The GOMED database is a product of the Gulf of Mexico Research Consortium (CIGoM) and was partially funded by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico, project 201441.See database webpage with additional information, as well as request for download form (https://giola.cicese.mx/database/GOMED)

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GOMED is a product for non-commercial academic use, and it is prohibited to share it with third parties, as well as to profit or sell products derived from it.  

The database is shared under the Creative license Commons (CC BY-NC-SA 2.5): Attribution-NonCommercial-ShareAlike 2.5 Mexico.

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The foregoing does not include projects, external links, linked publications, registered images and library material, which are governed by their own guidelines on Copyright and Industrial Property.

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Additional details

References

  • Lilly, J. M. and Olhede, S. C.: Higher-order properties of analytic wavelets, IEEE T. Signal Proces., 57, 146–160, https://doi.org/10.1109/TSP.2008.2007607, 2009.
  • Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600–612, 2012.