Detecting and tracking eddies in oceanic flow fields: A Lagrangian descriptor based on the modulus of vorticity

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Vortmeyer-Kley, R.; Gräwe, Ulf; Feudel, U.: Detecting and tracking eddies in oceanic flow fields: A Lagrangian descriptor based on the modulus of vorticity. In: Nonlinear Processes in Geophysics 23 (2016), Nr. 4, S. 159-173. DOI: http://dx.doi.org/10.5194/npg-23-159-2016

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Sum total of downloads: 292




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Abstract: 
Since eddies play a major role in the dynamics of oceanic flows, it is of great interest to detect them and gain information about their tracks, their lifetimes and their shapes. We present a Lagrangian descriptor based on the modulus of vorticity to construct an eddy tracking tool. In our approach we denote an eddy as a rotating region in the flow possessing an eddy core corresponding to a local maximum of the Lagrangian descriptor and enclosed by pieces of manifolds of distinguished hyperbolic trajectories (eddy boundary). We test the performance of the eddy tracking tool based on this Lagrangian descriptor using an convection flow of four eddies, a synthetic vortex street and a velocity field of the western Baltic Sea. The results for eddy lifetime and eddy shape are compared to the results obtained with the Okubo–Weiss parameter, the modulus of vorticity and an eddy tracking tool used in oceanography. We show that the vorticity-based Lagrangian descriptor estimates lifetimes closer to the analytical results than any other method. Furthermore we demonstrate that eddy tracking based on this descriptor is robust with respect to certain types of noise, which makes it a suitable method for eddy detection in velocity fields obtained from observation.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 193 66.10%
2 image of flag of United States United States 40 13.70%
3 image of flag of China China 17 5.82%
4 image of flag of France France 4 1.37%
5 image of flag of Estonia Estonia 4 1.37%
6 image of flag of Russian Federation Russian Federation 3 1.03%
7 image of flag of India India 3 1.03%
8 image of flag of Japan Japan 2 0.68%
9 image of flag of United Kingdom United Kingdom 2 0.68%
10 image of flag of Spain Spain 2 0.68%
    other countries 22 7.53%

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