Geomagnetic jerks characterization via spectral analysis

In this study we have applied spectral techniques to analyze geomagnetic field time-series provided by observatories, and compared the results with those obtained from analogous analyses of synthetic data estimated from models. Then, an algorithm is here proposed to detect the geomagnetic jerks in t...

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Những tác giả chính: B. Duka, A. De Santis, M. Mandea, A. Isac, E. Qamili
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Copernicus Publications 2012-05-01
Loạt:Solid Earth
Truy cập trực tuyến:http://www.solid-earth.net/3/131/2012/se-3-131-2012.pdf
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author B. Duka
A. De Santis
M. Mandea
A. Isac
E. Qamili
author_facet B. Duka
A. De Santis
M. Mandea
A. Isac
E. Qamili
author_sort B. Duka
collection DOAJ
description In this study we have applied spectral techniques to analyze geomagnetic field time-series provided by observatories, and compared the results with those obtained from analogous analyses of synthetic data estimated from models. Then, an algorithm is here proposed to detect the geomagnetic jerks in time-series, mainly occurring in the eastern component of the geomagnetic field. Applying such analysis to time-series generated from global models has allowed us to depict the most important space-time features of the geomagnetic jerks all over the globe, since the beginning of XXth century. Finally, the spherical harmonic power spectrum of the third derivative of the main geomagnetic field has been computed from 1960 to 2002.5, bringing new insights to understand the spatial evolution of these rapid changes of the geomagnetic field.
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spelling doaj.art-46f744b77c9e4ff7aac1e8c7cc9074db2022-12-21T18:49:31ZengCopernicus PublicationsSolid Earth1869-95101869-95292012-05-013113114810.5194/se-3-131-2012Geomagnetic jerks characterization via spectral analysisB. DukaA. De SantisM. MandeaA. IsacE. QamiliIn this study we have applied spectral techniques to analyze geomagnetic field time-series provided by observatories, and compared the results with those obtained from analogous analyses of synthetic data estimated from models. Then, an algorithm is here proposed to detect the geomagnetic jerks in time-series, mainly occurring in the eastern component of the geomagnetic field. Applying such analysis to time-series generated from global models has allowed us to depict the most important space-time features of the geomagnetic jerks all over the globe, since the beginning of XXth century. Finally, the spherical harmonic power spectrum of the third derivative of the main geomagnetic field has been computed from 1960 to 2002.5, bringing new insights to understand the spatial evolution of these rapid changes of the geomagnetic field.http://www.solid-earth.net/3/131/2012/se-3-131-2012.pdf
spellingShingle B. Duka
A. De Santis
M. Mandea
A. Isac
E. Qamili
Geomagnetic jerks characterization via spectral analysis
Solid Earth
title Geomagnetic jerks characterization via spectral analysis
title_full Geomagnetic jerks characterization via spectral analysis
title_fullStr Geomagnetic jerks characterization via spectral analysis
title_full_unstemmed Geomagnetic jerks characterization via spectral analysis
title_short Geomagnetic jerks characterization via spectral analysis
title_sort geomagnetic jerks characterization via spectral analysis
url http://www.solid-earth.net/3/131/2012/se-3-131-2012.pdf
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AT adesantis geomagneticjerkscharacterizationviaspectralanalysis
AT mmandea geomagneticjerkscharacterizationviaspectralanalysis
AT aisac geomagneticjerkscharacterizationviaspectralanalysis
AT eqamili geomagneticjerkscharacterizationviaspectralanalysis