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

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 explain...

Full description

Bibliographic Details
Main Authors: I. I. Rypina, S. E. Scott, L. J. Pratt, M. G. Brown
Format: Article
Language:English
Published: Copernicus Publications 2011-12-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/18/977/2011/npg-18-977-2011.pdf
id doaj-5ef596e849344a99a09021e78c458872
record_format Article
spelling doaj-5ef596e849344a99a09021e78c4588722020-11-24T21:09:03ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462011-12-0118697798710.5194/npg-18-977-2011Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structuresI. I. RypinaS. E. ScottL. J. PrattM. G. BrownIt 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.http://www.nonlin-processes-geophys.net/18/977/2011/npg-18-977-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author I. I. Rypina
S. E. Scott
L. J. Pratt
M. G. Brown
spellingShingle I. I. Rypina
S. E. Scott
L. J. Pratt
M. G. Brown
Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
Nonlinear Processes in Geophysics
author_facet I. I. Rypina
S. E. Scott
L. J. Pratt
M. G. Brown
author_sort I. I. Rypina
title Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
title_short Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
title_full Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
title_fullStr Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
title_full_unstemmed Investigating the connection between complexity of isolated trajectories and Lagrangian coherent structures
title_sort investigating the connection between complexity of isolated trajectories and lagrangian coherent structures
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2011-12-01
description 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.
url http://www.nonlin-processes-geophys.net/18/977/2011/npg-18-977-2011.pdf
work_keys_str_mv AT iirypina investigatingtheconnectionbetweencomplexityofisolatedtrajectoriesandlagrangiancoherentstructures
AT sescott investigatingtheconnectionbetweencomplexityofisolatedtrajectoriesandlagrangiancoherentstructures
AT ljpratt investigatingtheconnectionbetweencomplexityofisolatedtrajectoriesandlagrangiancoherentstructures
AT mgbrown investigatingtheconnectionbetweencomplexityofisolatedtrajectoriesandlagrangiancoherentstructures
_version_ 1716758758135169024