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Wavelet-based multiscale analysis of geomagnetic disturbance

  • The dynamics of external contributions to the geomagnetic field is investigated by applying time-frequency methods to magnetic observatory data. Fractal models and multiscale analysis enable obtaining maximum quantitative information related to the short-term dynamics of the geomagnetic field activity. The stochastic properties of the horizontal component of the transient external field are determined by searching for scaling laws in the power spectra. The spectrum fits a power law with a scaling exponent beta, a typical characteristic of self-affine time-series. Local variations in the power-law exponent are investigated by applying wavelet analysis to the same time-series. These analyses highlight the self-affine properties of geomagnetic perturbations and their persistence. Moreover, they show that the main phases of sudden storm disturbances are uniquely characterized by a scaling exponent varying between 1 and 3, possibly related to the energy contained in the external field. These new findings suggest the existence of aThe dynamics of external contributions to the geomagnetic field is investigated by applying time-frequency methods to magnetic observatory data. Fractal models and multiscale analysis enable obtaining maximum quantitative information related to the short-term dynamics of the geomagnetic field activity. The stochastic properties of the horizontal component of the transient external field are determined by searching for scaling laws in the power spectra. The spectrum fits a power law with a scaling exponent beta, a typical characteristic of self-affine time-series. Local variations in the power-law exponent are investigated by applying wavelet analysis to the same time-series. These analyses highlight the self-affine properties of geomagnetic perturbations and their persistence. Moreover, they show that the main phases of sudden storm disturbances are uniquely characterized by a scaling exponent varying between 1 and 3, possibly related to the energy contained in the external field. These new findings suggest the existence of a long-range dependence, the scaling exponent being an efficient indicator of geomagnetic activity and singularity detection. These results show that by using magnetogram regularity to reflect the magnetosphere activity, a theoretical analysis of the external geomagnetic field based on local power-law exponents is possible.show moreshow less

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Metadaten
Author details:N. Zaourar, M. Hamoudi, M. Mandea, G. BalasisORCiD, Matthias HolschneiderORCiDGND
DOI:https://doi.org/10.5047/eps.2013.05.001
ISSN:1343-8832
ISSN:1880-5981
Title of parent work (English):EARTH PLANETS AND SPACE
Publisher:TERRA SCIENTIFIC PUBL CO
Place of publishing:TOKYO
Publication type:Article
Language:English
Year of first publication:2013
Publication year:2013
Release date:2017/03/26
Tag:Geomagnetic field; geomagnetic storm; magnetosphere; multiscale analysis; spectral exponent
Volume:65
Issue:12
Number of pages:16
First page:1525
Last Page:1540
External remark:Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 947
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