Articles | Volume 28, issue 2
https://doi.org/10.5194/npg-28-181-2021
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

Related authors

A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements
Jonathan M. Lilly and Paula Pérez-Brunius
Earth Syst. Sci. Data, 13, 645–669, https://doi.org/10.5194/essd-13-645-2021,https://doi.org/10.5194/essd-13-645-2021, 2021
Short summary

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligence
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
Joko Sampurno, Valentin Vallaeys, Randy Ardianto, and Emmanuel Hanert
Nonlin. Processes Geophys., 29, 301–315, https://doi.org/10.5194/npg-29-301-2022,https://doi.org/10.5194/npg-29-301-2022, 2022
Short summary
Predicting sea surface temperatures with coupled reservoir computers
Benjamin Walleshauser and Erik Bollt
Nonlin. Processes Geophys., 29, 255–264, https://doi.org/10.5194/npg-29-255-2022,https://doi.org/10.5194/npg-29-255-2022, 2022
Short summary
Using neural networks to improve simulations in the gray zone
Raphael Kriegmair, Yvonne Ruckstuhl, Stephan Rasp, and George Craig
Nonlin. Processes Geophys., 29, 171–181, https://doi.org/10.5194/npg-29-171-2022,https://doi.org/10.5194/npg-29-171-2022, 2022
Short summary
The blessing of dimensionality for the analysis of climate data
Bo Christiansen
Nonlin. Processes Geophys., 28, 409–422, https://doi.org/10.5194/npg-28-409-2021,https://doi.org/10.5194/npg-28-409-2021, 2021
Short summary
Producing realistic climate data with generative adversarial networks
Camille Besombes, Olivier Pannekoucke, Corentin Lapeyre, Benjamin Sanderson, and Olivier Thual
Nonlin. Processes Geophys., 28, 347–370, https://doi.org/10.5194/npg-28-347-2021,https://doi.org/10.5194/npg-28-347-2021, 2021
Short summary

Cited articles

Alpers, W., Brandt, P., Lazar, A., Dagorne, D., Sow, B., Faye, S., Hansen, M. W., Rubino, A., Poulain, P.-M., and Brehmer, P.: A small-scale oceanic eddy off the coast of West Africa studied by multi-sensor satellite and surface drifter data, Remote Sens. Environ., 129, 132–143, https://doi.org/10.1016/j.rse.2012.10.032, 2013. a
Arai, M. and Yamagata, T.: Asymmetric evolution of eddies in rotating shallow water, Chaos, 4, 163–175, https://doi.org/10.1063/1.166001, 1994. a
Armi, L., Hebert, D., Oakey, N., Price, J. F., Richardson, P., and Rossby, H.: Two years in the life of a Mediterranean salt lens, J. Phys. Oceanogr., 19, 354–370, https://doi.org/10.1175/1520-0485(1989)019<0354:TYITLO>2.0.CO;2, 1989. a
Bedrosian, E.: A product theorem for Hilbert transforms, Proc. IRE, 51, 868–869, https://doi.org/10.1109/PROC.1963.2308, 1963. a
Benjamini, Y. and Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. Roy. Stat. Soc. B Met., 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x, 1995. a
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.