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

Viewed

Total article views: 2,465 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,952 487 26 2,465 17 16
  • HTML: 1,952
  • PDF: 487
  • XML: 26
  • Total: 2,465
  • BibTeX: 17
  • EndNote: 16
Views and downloads (calculated since 31 Aug 2020)
Cumulative views and downloads (calculated since 31 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,171 (including HTML, PDF, and XML) Thereof 2,168 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Jul 2022
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.