Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere

The dynamical behaviour of the magnetosphere is known to be a sensitive indicator for the response of the system to solar wind coupling. Since the solar activity commonly displays very interesting non-stationary and multi-scale dynamics, the magnetospheric response also exhibits a high degree of dyn...

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Main Authors: R. V. Donner, G. Balasis
Format: Article
Language:English
Published: Copernicus Publications 2013-11-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/20/965/2013/npg-20-965-2013.pdf
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spelling doaj-c024055c051c4d89b9efe4be7ef27ceb2020-11-24T22:42:54ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462013-11-0120696597510.5194/npg-20-965-2013Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphereR. V. Donner0G. Balasis1Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, GermanyInstitute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, I. Metaxa & Vas. Pavlou St., 15236, Penteli, GreeceThe dynamical behaviour of the magnetosphere is known to be a sensitive indicator for the response of the system to solar wind coupling. Since the solar activity commonly displays very interesting non-stationary and multi-scale dynamics, the magnetospheric response also exhibits a high degree of dynamical complexity associated with fundamentally different characteristics during periods of quiescence and magnetic storms. The resulting temporal complexity profile has been explored using several approaches from applied statistics, dynamical systems theory and statistical mechanics. Here, we propose an alternative way of looking at time-varying dynamical complexity of nonlinear geophysical time series utilising subtle but significant changes in the linear autocorrelation structure of the recorded data. Our approach is demonstrated to sensitively trace the dynamic signatures associated with intense magnetic storms, and to display reasonable skills in distinguishing between quiescence and storm periods. The potentials and methodological limitations of this new viewpoint are discussed in some detail.http://www.nonlin-processes-geophys.net/20/965/2013/npg-20-965-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author R. V. Donner
G. Balasis
spellingShingle R. V. Donner
G. Balasis
Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
Nonlinear Processes in Geophysics
author_facet R. V. Donner
G. Balasis
author_sort R. V. Donner
title Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
title_short Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
title_full Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
title_fullStr Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
title_full_unstemmed Correlation-based characterisation of time-varying dynamical complexity in the Earth's magnetosphere
title_sort correlation-based characterisation of time-varying dynamical complexity in the earth's magnetosphere
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2013-11-01
description The dynamical behaviour of the magnetosphere is known to be a sensitive indicator for the response of the system to solar wind coupling. Since the solar activity commonly displays very interesting non-stationary and multi-scale dynamics, the magnetospheric response also exhibits a high degree of dynamical complexity associated with fundamentally different characteristics during periods of quiescence and magnetic storms. The resulting temporal complexity profile has been explored using several approaches from applied statistics, dynamical systems theory and statistical mechanics. Here, we propose an alternative way of looking at time-varying dynamical complexity of nonlinear geophysical time series utilising subtle but significant changes in the linear autocorrelation structure of the recorded data. Our approach is demonstrated to sensitively trace the dynamic signatures associated with intense magnetic storms, and to display reasonable skills in distinguishing between quiescence and storm periods. The potentials and methodological limitations of this new viewpoint are discussed in some detail.
url http://www.nonlin-processes-geophys.net/20/965/2013/npg-20-965-2013.pdf
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