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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 4
Nonlin. Processes Geophys., 24, 661-671, 2017
https://doi.org/10.5194/npg-24-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Current perspectives in modelling, monitoring, and predicting...

Nonlin. Processes Geophys., 24, 661-671, 2017
https://doi.org/10.5194/npg-24-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Oct 2017

Research article | 20 Oct 2017

Network-based study of Lagrangian transport and mixing

Kathrin Padberg-Gehle and Christiane Schneide
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kathrin Padberg-Gehle on behalf of the Authors (04 Aug 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Aug 2017) by Cristóbal López
RR by Gabor Drotos (24 Aug 2017)
ED: Publish subject to minor revisions (further review by Editor) (04 Sep 2017) by Cristóbal López
AR by Kathrin Padberg-Gehle on behalf of the Authors (08 Sep 2017)  Author's response    Manuscript
ED: Publish as is (13 Sep 2017) by Cristóbal López
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Short summary
Transport and mixing processes in fluid flows are crucially influenced by coherent structures, such as eddies, gyres, or jets in geophysical flows. We propose a very simple and computationally efficient approach for analyzing coherent behavior in fluid flows. The central object is a flow network constructed directly from particle trajectories. The network's local and spectral properties are shown to give a very good indication of coherent as well as mixing regions in the underlying flow.
Transport and mixing processes in fluid flows are crucially influenced by coherent structures,...
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