Articles | Volume 28, issue 2
Nonlin. Processes Geophys., 28, 181–212, 2021
https://doi.org/10.5194/npg-28-181-2021
Nonlin. Processes Geophys., 28, 181–212, 2021
https://doi.org/10.5194/npg-28-181-2021

Research article 20 Apr 2021

Research article | 20 Apr 2021

Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico

Jonathan M. Lilly and Paula Pérez-Brunius

Data sets

The Gulf of Mexico Eddy Dataset (GOMED), a census of statistically significant eddy-like events from all available surface drifter data Jonathan M. Lilly and Paula Pérez-Brunius https://doi.org/10.5281/zenodo.3978803

GulfDrifters: A consolidated surface drifter dataset for the Gulf of Mexico Jonathan M. Lilly and Paula Pérez-Brunius https://doi.org/10.5281/zenodo.3985916

Model code and software

jLab: A data analysis package for Matlab Jonathan M. Lilly https://doi.org/10.5281/zenodo.4547006

Short summary
Long-lived eddies are an important part of the ocean circulation. Here a dataset for studying eddies in the Gulf of Mexico is created through the analysis of trajectories of drifting instruments. The method involves the identification of quasi-periodic signals, characteristic of particles trapped in eddies, from the displacement records, followed by the creation of a measure of statistical significance. It is expected that this dataset will be of use to other authors studying this region.