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ANGEO | Articles | Volume 36, issue 5
Ann. Geophys., 36, 1483–1493, 2018
https://doi.org/10.5194/angeo-36-1483-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Dynamics and interaction of processes in the Earth and its...

Ann. Geophys., 36, 1483–1493, 2018
https://doi.org/10.5194/angeo-36-1483-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular paper 29 Oct 2018

Regular paper | 29 Oct 2018

Electromagnetic field observations by the DEMETER satellite in connection with the 2009 L'Aquila earthquake

Igor Bertello et al.
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (03 Sep 2018) by Georgios Balasis
AR by Mirko Piersanti on behalf of the Authors (04 Sep 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Sep 2018) by Georgios Balasis
RR by Anonymous Referee #2 (30 Sep 2018)
RR by Anonymous Referee #1 (01 Oct 2018)
ED: Publish subject to revisions (further review by editor and referees) (04 Oct 2018) by Georgios Balasis
AR by Anna Wenzel on behalf of the Authors (15 Oct 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Oct 2018) by Georgios Balasis
RR by Anonymous Referee #2 (18 Oct 2018)
ED: Publish as is (19 Oct 2018) by Georgios Balasis
Publications Copernicus
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Short summary
This paper presents a completely new method based on a new data analysis technique (ALIF) to determine both the environmental and instrumental backgrounds applied to all the DEMETER satellite electric and magnetic field data over L'Aquila's seismic region. Interestingly, on 4 April 2009, when DEMETER flew exactly over L'Aquila at 20:29 UT, an anomalous signal was observed at 333 Hz on both the electric and magnetic field data, whose characteristics seem to be related to pre-seismic activity.
This paper presents a completely new method based on a new data analysis technique (ALIF) to...
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