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Visualizing climate variability with time-dependent probability density functions, detecting it using information theory

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Date

2012

Authors

Larson, Jay

Journal Title

Journal ISSN

Volume Title

Publisher

Conference Organising Committee

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

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/63582

Collections

ANU Research Publications

Source

Procedia Computer Science

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1016/j.procs.2012.04.098

Restricted until

2037-12-31

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01_Larson_Visualizing_climate_2012.pdf (2.7 MB)

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