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dc.contributor.author
Serinaldi, Francesco
dc.contributor.author
Zunino, Luciano José
dc.contributor.author
Rosso, Osvaldo Anibal
dc.date.available
2017-01-24T19:04:54Z
dc.date.issued
2013-10
dc.identifier.citation
Serinaldi, Francesco; Zunino, Luciano José; Rosso, Osvaldo Anibal; Complexity-entropy analysis of daily stream flow time series in the continental United States; Springer Verlag Berlín; Stochastic Environmental Research And Risk Assessment; 28; 7; 10-2013; 1685–1708
dc.identifier.issn
1436-3240
dc.identifier.uri
http://hdl.handle.net/11336/11835
dc.description.abstract
Complexity–entropy causality plane (CECP) is a diagnostic diagram plotting normalized Shannon entropy HSHS versus Jensen–Shannon complexity CJSCJS that has been introduced in nonlinear dynamics analysis to classify signals according to their degrees of randomness and complexity. In this study, we explore the applicability of CECP in hydrological studies by analyzing 80 daily stream flow time series recorded in the continental United States during a period of 75 years, surrogate sequences simulated by autoregressive models (with independent or long-range memory innovations), Theiler amplitude adjusted Fourier transform and Theiler phase randomization, and a set of signals drawn from nonlinear dynamic systems. The effect of seasonality, and the relationships between the CECP quantifiers and several physical and statistical properties of the observed time series are also studied. The results point out that: (1) the CECP can discriminate chaotic and stochastic signals in presence of moderate observational noise; (2) the signal classification depends on the sampling frequency and aggregation time scales; (3) both chaotic and stochastic systems can be compatible with the daily stream flow dynamics, when the focus is on the information content, thus setting these results in the context of the debate on observational equivalence; (4) the empirical relationships between HSHS and CJSCJS and Hurst parameter H, base flow index, basin drainage area and stream flow quantiles highlight that the CECP quantifiers can be considered as proxies of the long-term low-frequency groundwater processes rather than proxies of the short-term high-frequency surface processes; (6) the joint application of linear and nonlinear diagnostics allows for a more comprehensive characterization of the stream flow time series.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Verlag Berlín
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Stream Flow
dc.subject
Complexity-Entropy Causality Plane
dc.subject
Permutation Entropy
dc.subject
Permutation Statistical Complexity
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Bandt And Pompe Method
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Hurst Parameter
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Complexity-entropy analysis of daily stream flow time series in the continental United States
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-01-24T14:42:26Z
dc.identifier.eissn
1436-3259
dc.journal.volume
28
dc.journal.number
7
dc.journal.pagination
1685–1708
dc.journal.pais
Alemania
dc.journal.ciudad
Berlin
dc.description.fil
Fil: Serinaldi, Francesco. University of Newcastle; Reino Unido
dc.description.fil
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
dc.description.fil
Fil: Rosso, Osvaldo Anibal. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Universidade Federal de Alagoas; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Stochastic Environmental Research And Risk Assessment
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00477-013-0825-8
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s00477-013-0825-8
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