The Gulf of Mexico Eddy Dataset (GOMED), a census of statistically significant eddy-like events from all available surface drifter data



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 (2021). 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 (\varsig_\star) are also included, as is measure of statistical significance denoted by (\rho_\star). The dataset is available for download as a NetCDF file.
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. Under these criteria, the only additional condition is that the product resulting from the use of this data includes the following acknowledgments:

"The GOMED database (http://doi.org/10.5281/zenodo.3978803) 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."

How to Cite: Lilly, J. M. and Pérez-Brunius, P.: Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico, Nonlin. Processes Geophys., 28, 181–212, http://doi.org/10.5194/npg-28-181-2021,2021.

Acknowledgements: "The GOMED database http://doi.org/10.5281/zenodo.3978803, 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."


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