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Information decay and the predictability of turbulent flows

Published online by Cambridge University Press:  20 April 2006

George F. Carnevale
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado 80307
Greg Holloway
Affiliation:
Department of Oceanography, University of Washington, Seattle, Washington 98195

Abstract

A measure of predictability that has many superior features compared to currently used measures is introduced. Through statistical theory it is demonstrated that in inviscid truncated flow this new predictability measure increases monotonically in time while all initial information about the system decays. Under the influence of forcing and viscosity the behaviour of this measure is shown always to satisfy intuitive expectations.

Type
Research Article
Copyright
© 1982 Cambridge University Press

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