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: 2,843 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,234 577 32 2,843 23 20
  • HTML: 2,234
  • PDF: 577
  • XML: 32
  • Total: 2,843
  • BibTeX: 23
  • EndNote: 20
Views and downloads (calculated since 31 Aug 2020)
Cumulative views and downloads (calculated since 31 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,843 (including HTML, PDF, and XML) Thereof 2,539 with geography defined and 304 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Feb 2023
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.