When the reconstruction of attractors from observables is sought, the Grassberger-Procaccia algorithm for estimating the correlation dimension is often used. An overview of recent developments concerning data requirements and algorithm performance is presented within. In view of these developments the significance of previously estimated dimensions of weather and climate attractors is discussed.
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Estimating the Dimension of Weather and Climate Attractors: Important Issues about the Procedure and Interpretation
Authors:
A. A. TsonisAffiliationsDepartment of Geosciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
J. B. ElsnerAffiliationsDepartment of Meteorology, The Florida State University, Tallahassee, Florida
K. P. GeorgakakosAffiliationsDepartment of Civil and Environmental Engineering and Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, Iowa
See all authors & affiliations
Received: 3 March 1992
Final Form: 4 November 1992
Published Online: 1 August 1993
August 1993
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