Abstract Details
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Activity Number:
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670
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #308749 |
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Title:
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Data Analysis for Strange Attractors
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Author(s):
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Michael Luvalle*+
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Companies:
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Keywords:
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Chaos ;
regional climate prediction ;
precipitation ;
Strange attractors
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Abstract:
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Strange attractors are the limiting sets for stationary chaotic systems. The theory of strange attractors, in particular embedology and fluctuation dissipation theorems, has some interesting twists, resulting in counter intuitive behavior for predictors when viewed from statistical intuition initially formed around low dimensional sufficient statistics. While the climate system is not stationary, the availability of Global circulation models allows studies of the system as it passes (hopefully slowly) through attractor regimes. In this paper I review results of my experimental studies of predictors of the climate system, particularly focusing on trying to predict fluctuations in seasonal regional precipitation.
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Authors who are presenting talks have a * after their name.
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