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
dc.contributor.author | Larson, Jay | |
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dc.coverage.spatial | Omaha, NB | |
dc.date.accessioned | 2015-12-10T23:10:06Z | |
dc.date.created | 4 June 2012 through 6 June 2012 | |
dc.identifier.uri | http://hdl.handle.net/1885/63582 | |
dc.description.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 | |
dc.publisher | Conference Organising Committee | |
dc.relation.ispartofseries | 12th Annual International Conference on Computational Science, ICCS 2012 | |
dc.source | Procedia Computer Science | |
dc.title | Visualizing climate variability with time-dependent probability density functions, detecting it using information theory | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2012 | |
local.identifier.absfor | 080611 - Information Systems Theory | |
local.identifier.absfor | 040105 - Climatology (excl. Climate Change Processes) | |
local.identifier.ariespublication | U3488905xPUB824 | |
local.type.status | Published Version | |
local.contributor.affiliation | Larson, Jay, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 917 | |
local.bibliographicCitation.lastpage | 926 | |
local.identifier.doi | 10.1016/j.procs.2012.04.098 | |
local.identifier.absseo | 960304 - Climate Variability (excl. Social Impacts) | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2015-12-10T09:16:43Z | |
local.identifier.scopusID | 2-s2.0-84896940909 | |
Collections | ANU Research Publications |
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