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Objective Detection of Lagrangian Vortices in Unsteady Velocity Data

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Dynamic Data-Driven Environmental Systems Science (DyDESS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8964))

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Abstract

Lagrangian Coherent Structures (LCSs) are special material surfaces that delineate tracer patterns in unsteady flows. The recently developed variational theory of LCSs enables their objective (frame-invariant) detection in numerical and experimental velocity data. Here we review the main results of this variational theory for elliptic LCSs (i.e., perfectly coherent material vortices) and show how such structures can be extracted from geophysical data sets.

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Authors and Affiliations

  1. Institute of Mechanical Systems, ETH Zürich, Zurich, Switzerland

    George Haller

Authors
  1. George Haller
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Correspondence to George Haller .

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Editors and Affiliations

  1. Massachusetts Inst. of Technology, Cambridge, Massachusetts, USA

    Sai Ravela

  2. VA Polytechnic Institute and State Univ., Blacksburg, Virginia, USA

    Adrian Sandu

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Haller, G. (2015). Objective Detection of Lagrangian Vortices in Unsteady Velocity Data. In: Ravela, S., Sandu, A. (eds) Dynamic Data-Driven Environmental Systems Science. DyDESS 2014. Lecture Notes in Computer Science(), vol 8964. Springer, Cham. https://doi.org/10.1007/978-3-319-25138-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-25138-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25137-0

  • Online ISBN: 978-3-319-25138-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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