Concepts and Recent Advances in Generalized Information Measures and Statistics

1. Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms and statistical complexities have ...
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Analysis of an EL Nino-Southern Oscillation proxy record using Information Theory quantifiers

Pp. 309-340 (32)

Laura C. Carpi, Patricia M. Saco, Alejandra Figliola, Eduardo Serrano and Osvaldo A. Rosso


Quantifiers based on Information Theory, the normalized Shannon entropy, the Fisher information measure and the Shannon-Jensen statistical complexity are used to characterize changes in the dynamical behavior of EL Nino Southern-Oscillation (ENSO) during the Holocene. For this purpose we analyze the ENSO proxy record corresponding to Pallcacocha Lake sedimentary data for the Holoceno period (11,000 yr BP to present). By recourse of these quantifiers we found evidence of a shift in dynamics and cyclic behavior of the ENSO proxy, which is consistent with the results of Moy et al. [Nature 420 (2002) 162-165]. In addition, we have been also able to localize these cycles in time and to analyze connections to epochs of rapid climate change (RCC) during the Holocene.


Entropy, Statistical Complexity, Time series analysis, Probability distribution, ENSO dynamics.


Civil, Surveying and Environmental Engineering, The University of Newcastle, University Drive, Callaghan NSW 2308, Australia