Chaos and information in two-dimensional turbulence

Daniel Clark, Lukas Tarra, and Arjun Berera
Phys. Rev. Fluids 5, 064608 – Published 16 June 2020

Abstract

By performing a large number of fully resolved simulations of incompressible homogeneous and isotropic two-dimensional turbulence, we study the scaling behavior of the maximal Lyapunov exponent, the Kolmogorov-Sinai entropy, and attractor dimension. The scaling of the maximal Lyapunov exponent is found to be in good agreement with the dimensional predictions. For the cases of the Kolmogorov-Sinai entropy and attractor dimension, the simple dimensional predictions are found to be insufficient. A dependence on the system size and the forcing length scale is found, suggesting nonuniversal behavior. The applicability of these results to atmospheric predictability is also discussed.

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  • Received 28 February 2020
  • Accepted 27 May 2020

DOI:https://doi.org/10.1103/PhysRevFluids.5.064608

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsNonlinear Dynamics

Authors & Affiliations

Daniel Clark, Lukas Tarra, and Arjun Berera

  • School of Physics and Astronomy, University of Edinburgh, JCMB, Edinburgh EH9 3FD, United Kingdom and King's Buildings, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom

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Issue

Vol. 5, Iss. 6 — June 2020

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