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Predicting two-dimensional turbulence

R. T. Cerbus1,2,* and W. I. Goldburg1

  • 1Department of Physics and Astronomy, University of Pittsburgh, 3941 O'Hara Street, Pittsburgh, Pennsylvania 15260, USA
  • 2Fluid Mechanics Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa 904-0495, Japan

  • *rory.cerbus@oist.jp
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Phys. Rev. E 91, 043003 – Published 6 April, 2015

DOI: https://doi.org/10.1103/PhysRevE.91.043003

Abstract

Prediction is a fundamental objective of science. It is more difficult for chaotic and complex systems like turbulence. Here we use information theory to quantify spatial prediction using experimental data from a turbulent soap film. At high Reynolds number, Re, where a cascade exists, turbulence becomes easier to predict as the inertial range broadens. The development of a cascade at low Re is also detected.

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Outline

Information

Phys. Rev. E 91, 043003– Published 6 April, 2015
  • Received 3 December 2014
  • Revised 11 March 2015
Article part of CHORUS

©2015 American Physical Society

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