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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 6
Nonlin. Processes Geophys., 18, 977–987, 2011
https://doi.org/10.5194/npg-18-977-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 18, 977–987, 2011
https://doi.org/10.5194/npg-18-977-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Dec 2011

Research article | 15 Dec 2011

Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures

I. I. Rypina1, S. E. Scott2, L. J. Pratt1, and M. G. Brown3 I. I. Rypina et al.
  • 1Physical Oceanography Department, Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, USA
  • 2Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, 53201, USA
  • 3RSMAS, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, 33149, USA

Abstract. It is argued that the complexity of fluid particle trajectories provides the basis for a new method, referred to as the Complexity Method (CM), for estimation of Lagrangian coherent structures in aperiodic flows that are measured over finite time intervals. The basic principles of the CM are explained and the CM is tested in a variety of examples, both idealized and realistic, and in different reference frames. Two measures of complexity are explored in detail: the correlation dimension of trajectory, and a new measure – the ergodicity defect. Both measures yield structures that strongly resemble Lagrangian coherent structures in all of the examples considered. Since the CM uses properties of individual trajectories, and not separation rates between closely spaced trajectories, it may have advantages for the analysis of ocean float and drifter data sets in which trajectories are typically widely and non-uniformly spaced.

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