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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.…
Author details: | Naima ZaourarORCiD, Mohamed Hamoudi, Mioara MandeaORCiD, Georgios BalasisORCiD, Matthias HolschneiderORCiDGND |
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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): | Keine öffentliche Lizenz: Unter Urheberrechtsschutz |
External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |