Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory

The predictability of the monthly North Atlantic Oscillation, NAO, index is analysed from the point of view of different fractal concepts and dynamic system theory such as lacunarity, rescaled analysis (Hurst exponent) and reconstruction theorem (embedding and correlation dimensions, Kolmogorov entr...

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Main Authors: M. D. Martínez, X. Lana, A. Burgueño, C. Serra
Format: Article
Language:English
Published: Copernicus Publications 2010-03-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/17/93/2010/npg-17-93-2010.pdf
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author M. D. Martínez
X. Lana
A. Burgueño
C. Serra
author_facet M. D. Martínez
X. Lana
A. Burgueño
C. Serra
author_sort M. D. Martínez
collection DOAJ
description The predictability of the monthly North Atlantic Oscillation, NAO, index is analysed from the point of view of different fractal concepts and dynamic system theory such as lacunarity, rescaled analysis (Hurst exponent) and reconstruction theorem (embedding and correlation dimensions, Kolmogorov entropy and Lyapunov exponents). The main results point out evident signs of randomness and the necessity of stochastic models to represent time evolution of the NAO index. The results also show that the monthly NAO index behaves as a white-noise Gaussian process. The high minimum number of nonlinear equations needed to describe the physical process governing the NAO index fluctuations is evidence of its complexity. A notable predictive instability is indicated by the positive Lyapunov exponents. Besides corroborating the complex time behaviour of the NAO index, present results suggest that random Cantor sets would be an interesting tool to model lacunarity and time evolution of the NAO index.
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spelling doaj.art-543b15dc429e4b38a5653ce145bfe26c2022-12-21T19:13:28ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462010-03-011729310110.5194/npg-17-93-2010Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theoryM. D. MartínezX. LanaA. BurgueñoC. SerraThe predictability of the monthly North Atlantic Oscillation, NAO, index is analysed from the point of view of different fractal concepts and dynamic system theory such as lacunarity, rescaled analysis (Hurst exponent) and reconstruction theorem (embedding and correlation dimensions, Kolmogorov entropy and Lyapunov exponents). The main results point out evident signs of randomness and the necessity of stochastic models to represent time evolution of the NAO index. The results also show that the monthly NAO index behaves as a white-noise Gaussian process. The high minimum number of nonlinear equations needed to describe the physical process governing the NAO index fluctuations is evidence of its complexity. A notable predictive instability is indicated by the positive Lyapunov exponents. Besides corroborating the complex time behaviour of the NAO index, present results suggest that random Cantor sets would be an interesting tool to model lacunarity and time evolution of the NAO index.http://www.nonlin-processes-geophys.net/17/93/2010/npg-17-93-2010.pdf
spellingShingle M. D. Martínez
X. Lana
A. Burgueño
C. Serra
Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
Nonlinear Processes in Geophysics
title Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
title_full Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
title_fullStr Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
title_full_unstemmed Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
title_short Predictability of the monthly North Atlantic Oscillation index based on fractal analyses and dynamic system theory
title_sort predictability of the monthly north atlantic oscillation index based on fractal analyses and dynamic system theory
url http://www.nonlin-processes-geophys.net/17/93/2010/npg-17-93-2010.pdf
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