Articles | Volume 24, issue 2
https://doi.org/10.5194/npg-24-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-24-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2017
Research article |
| 03 May 2017
Trajectory encounter volume as a diagnostic of mixing potential in fluid flows
Woods Hole Oceanographic Institution, Department of Physical Oceanography, 266 Woods Hole Road, Woods Hole, MA 02543, USA
Lawrence J. Pratt
Woods Hole Oceanographic Institution, Department of Physical Oceanography, 266 Woods Hole Road, Woods Hole, MA 02543, USA
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- Lagrangian network analysis of turbulent mixing G. Iacobello et al. 10.1017/jfm.2019.79
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- Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts G. Vieira et al. 10.3390/fluids5040184
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- Crossroads of the mesoscale circulation A. Baudena et al. 10.1016/j.jmarsys.2018.12.005
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- Network-based study of Lagrangian transport and mixing K. Padberg-Gehle & C. Schneide 10.5194/npg-24-661-2017
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- A Geometric Heat-Flow Theory of Lagrangian Coherent Structures D. Karrasch & J. Keller 10.1007/s00332-020-09626-9
- Wall-induced anisotropy effects on turbulent mixing in channel flow: A network-based analysis D. Perrone et al. 10.1103/PhysRevE.102.043109
- Preface: Current perspectives in modelling, monitoring, and predicting geophysical fluid dynamics A. Mancho et al. 10.5194/npg-25-125-2018
- Trajectory‐based computational study of coherent behavior in flows K. Padberg‐Gehle & C. Schneide 10.1002/pamm.201710004
- Extracting Lagrangian coherent structures in the Kuroshio current system F. Tian et al. 10.1007/s10236-019-01262-6
- Using braids to quantify interface growth and coherence in a rotor-oscillator flow M. Filippi et al. 10.1103/PhysRevFluids.5.054504
- Detecting Lagrangian coherent structures from sparse and noisy trajectory data S. Mowlavi et al. 10.1017/jfm.2022.652
- Connection between encounter volume and diffusivity in geophysical flows I. Rypina et al. 10.5194/npg-25-267-2018
- Applying dynamical systems techniques to real ocean drifters I. Rypina et al. 10.5194/npg-29-345-2022
- From Large Deviations to Semidistances of Transport and Mixing: Coherence Analysis for Finite Lagrangian Data P. Koltai & D. Renger 10.1007/s00332-018-9471-0
- A Three Dimensional Lagrangian Analysis of the Smoke Plume From the 2019/2020 Australian Wildfire Event J. Curbelo & I. Rypina 10.1029/2023JD039773
Latest update: 30 Dec 2024
Short summary
Fluid parcels exchange water properties when coming into contact with each other, leading to mixing. The trajectory encounter volume, defined here as the volume of fluid that passes close to a reference trajectory over a finite time interval, is introduced as a measure of the mixing potential of a flow. Regions with a low encounter volume (the cores of coherent eddies) have a low mixing potential. Regions with a large encounter volume (turbulent or chaotic regions) have a high mixing potential.
Fluid parcels exchange water properties when coming into contact with each other, leading to...
