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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 β, 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-rangeThe 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 β, 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:Naima ZaourarORCiD, Mohamed Hamoudi, Mioara MandeaORCiD, Georgios BalasisORCiD, Matthias HolschneiderORCiDGND
URN:urn:nbn:de:kobv:517-opus4-436912
DOI:https://doi.org/10.25932/publishup-43691
ISSN:1866-8372
Title of parent work (German):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (947)
Publication type:Postprint
Language:English
Date of first publication:2020/06/05
Publication year:2013
Publishing institution:Universität Potsdam
Release date:2020/06/05
Tag:geomagnetic field; geomagnetic storm; magnetosphere; multiscale analysis; spectral exponent
Volume:65
Issue:12
Number of pages:16
First page:1525
Last Page:1540
Source:Earth, Planets and Space 65 (2013) 1525–1540 DOI:10.5047/eps.2013.05.001
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
Publishing method:Open Access
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
External remark:Bibliographieeintrag der Originalveröffentlichung/Quelle
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