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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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 |
work_keys_str_mv |
AT rvdonner correlationbasedcharacterisationoftimevaryingdynamicalcomplexityintheearthsmagnetosphere AT gbalasis correlationbasedcharacterisationoftimevaryingdynamicalcomplexityintheearthsmagnetosphere |
_version_ |
1725697958364577792 |