Visualizing climate variability with time-dependent probability density functions, detecting it using information theory
Date
2012
Authors
Larson, Jay
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Abstract
A framework for visualizing and detecting climate variability and change based on time-dependent probability density functions (PDFs) is developed. A set of information-theoretic statistics based on the Shannon Entropy and the Kullback-Leibler Divergence
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Procedia Computer Science
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Conference paper
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2037-12-31
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