Articles | Volume 28, issue 2
Nonlin. Processes Geophys., 28, 181–212, 2021
Nonlin. Processes Geophys., 28, 181–212, 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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jonathan Lilly on behalf of the Authors (20 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 Jan 2021) by Stefano Pierini
RR by Anonymous Referee #1 (01 Mar 2021)
ED: Publish as is (06 Mar 2021) by Stefano Pierini
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.