2017
DOI: 10.5194/npg-24-189-2017
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Trajectory encounter volume as a diagnostic of mixing potential in fluid flows

Abstract: Abstract. Fluid parcels can exchange water properties when coming into contact with each other, leading to mixing. The trajectory encounter mass and a related simplified quantity, the encounter volume, are introduced as a measure of the mixing potential of a flow. The encounter volume quantifies the volume of fluid that passes close to a reference trajectory over a finite time interval. Regions characterized by a low encounter volume, such as the cores of coherent eddies, have a low mixing potential, whereas t… Show more

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Cited by 43 publications
(50 citation statements)
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“…In that reference frame, the reference particle will always stay at the origin, while other particles will still be involved in a random walk motion, but with a diffusivity twice that in the stationary frame, κ moving =2κ stationary (Rypina and Pratt, 2017). The problem of finding the encounter number is then reduced to counting the number of randomly walking particles (with diffusivity κ moving ) that come within radius R of the origin in the moving frame.…”
Section: Introductionmentioning
confidence: 99%
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“…In that reference frame, the reference particle will always stay at the origin, while other particles will still be involved in a random walk motion, but with a diffusivity twice that in the stationary frame, κ moving =2κ stationary (Rypina and Pratt, 2017). The problem of finding the encounter number is then reduced to counting the number of randomly walking particles (with diffusivity κ moving ) that come within radius R of the origin in the moving frame.…”
Section: Introductionmentioning
confidence: 99%
“…Rypina and Pratt (2017) discuss how the encounter volume can be used to identify Lagrangian coherent structures (LCS) such as stable and unstable manifolds of hyperbolic trajectories and regions foliated by the KAM-like tori surrounding elliptic trajectories in realistic geophysical flows. A detailed comparison between the encounter volume method and some other Lagrangian methods of LCS identification, as well as the dependences on parameters, t 0 , T , R, and on grid spacing (or on the number of trajectories, K), and the relative advantages of different techniques, was given in Rypina and Pratt (2017). The interested reader is referred to that earlier paper for details.…”
Section: Introductionmentioning
confidence: 99%
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