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Components of multifractality in the central England temperature anomaly series (Articolo in rivista)

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Components of multifractality in the central England temperature anomaly series (Articolo in rivista) (literal)

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Jeferson de Souza (1,2); Sílvio M. Duarte Queirós (3,4,5); Alice M. Grimm (6) (2013)
Components of multifractality in the central England temperature anomaly series
in Chaos (Woodbury N.Y.)
(literal)

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Jeferson de Souza (1,2); Sílvio M. Duarte Queirós (3,4,5); Alice M. Grimm (6) (literal)

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(1) Departamento de Geologia, Universidade Federal do Paraná, PO Box 19027, 81531-980 Curitiba-PR, Brazil( (2) Centro Estadual de Educação Profissional de Curitiba Rua Frederico Maurer 3015, 81670-020 Curitiba-PR, Brazil (3) Centro de Física do Porto, Universidade do Porto Rua do Campo Alegre 687, 4169-007 Porto, Portugal (4) Istituto dei Sistemi Complessi--CNR Via dei Taurini 19, 00185 Roma, Italy (5) Centro Brasileiro de Pesquisas Físicas and National Institute of Science and Technology for Complex Systems Rua Dr Xavier Sigaud 150, 22290-180 Rio de Janeiro - RJ, Brazil (6) Departamento de Física, Universidade Federal do Paraná, PO Box 19044, 81531-990 Curitiba-PR, Brazil (literal)

Titolo

Components of multifractality in the central England temperature anomaly series (literal)

Abstract

We study the multifractal nature of the Central England Temperature (CET) anomaly, a time series that spans more than 200 years. The data are analyzed in two ways: as a single set and by using a sliding window of 11 years. In both cases, we quantify the width of the multifractal spectrum as well as its components, which are defined by the deviations from the Gaussian distribution and the dependence between measurements. The results of the first approach show that the key contribution to the multifractal structure comes from the dynamical dependencies, mainly weak ones, followed by a residual contribution of the deviations from the Gaussian. The sliding window approach indicates that the peaks in the evolution of the non-Gaussian contribution occur almost at the same dates associated with climate changes that were determined in previous works using component analysis methods. Moreover, the strong non-Gaussian contribution from the 1960 s onwards is in agreement with global results recently presented. (literal)

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