Visualizing climate variability with time-dependent probability density functions, detecting it using information theory
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Description
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
Collections | ANU Research Publications |
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Date published: | 2012 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/63582 |
Source: | Procedia Computer Science |
DOI: | 10.1016/j.procs.2012.04.098 |
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File | Description | Size | Format | Image |
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01_Larson_Visualizing_climate_2012.pdf | 2.76 MB | Adobe PDF | Request a copy |
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