Next Article in Journal
Seasonal Responses of Precipitation in China to El Niño and Positive Indian Ocean Dipole Modes
Next Article in Special Issue
Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory
Previous Article in Journal
Sources and Geographical Origins of PM10 in Metz (France) Using Oxalate as a Marker of Secondary Organic Aerosols by Positive Matrix Factorization Analysis
Previous Article in Special Issue
Seismogenic Disturbances of the Ionosphere During High Geomagnetic Activity
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle

Magnetic Field and Electron Density Data Analysis from Swarm Satellites Searching for Ionospheric Effects by Great Earthquakes: 12 Case Studies from 2014 to 2016

1
Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy
2
Department INGEO, Università degli Studi "Gabriele d’Annunzio", 66100 Chieti, Italy
3
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
4
SpacEarth Technology, Via di Vigna Murata 605, 00143 Rome, Italy
5
Planetek Italia, srl, 70132 Bari, Italy
*
Author to whom correspondence should be addressed.
Now at Department of Earth’s Physics and Astrophysics, Universidad Complutense de Madrid, Madrid 28040, & Geosciences Institute IGEO (CSIC-UCM), 28040 Madrid, Spain.
Now at SERCO Italia spa, Via Sciadonna 24, 00044 Frascati (RM), Italy.
§
Now at ASI, Scientific Research Unit, Via del Politecnico snc, 00133 Roma, Italy.
Atmosphere 2019, 10(7), 371; https://doi.org/10.3390/atmos10070371
Received: 3 June 2019 / Revised: 27 June 2019 / Accepted: 28 June 2019 / Published: 3 July 2019
(This article belongs to the Special Issue Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) Models)
  |  
PDF [5327 KB, uploaded 3 July 2019]
  |  

Abstract

We analyse Swarm satellite magnetic field and electron density data one month before and one month after 12 strong earthquakes that have occurred in the first 2.5 years of Swarm satellite mission lifetime in the Mediterranean region (magnitude M6.1+) or in the rest of the world (M6.7+). The search for anomalies was limited to the area centred at each earthquake epicentre and bounded by a circle that scales with magnitude according to the Dobrovolsky’s radius. We define the magnetic and electron density anomalies statistically in terms of specific thresholds with respect to the same statistical quantity along the whole residual satellite track (|geomagnetic latitude| ≤ 50°, quiet geomagnetic conditions). Once normalized by the analysed satellite tracks, the anomalies associated to all earthquakes resemble a linear dependence with earthquake magnitude, so supporting the statistical correlation with earthquakes and excluding a relationship by chance. View Full-Text
Keywords: geomagnetic field; electron density; seismic precursors; strong and intermediate earthquakes; Swarm satellites geomagnetic field; electron density; seismic precursors; strong and intermediate earthquakes; Swarm satellites
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

De Santis, A.; Marchetti, D.; Spogli, L.; Cianchini, G.; Pavón-Carrasco, F.J.; Franceschi, G.D.; Di Giovambattista, R.; Perrone, L.; Qamili, E.; Cesaroni, C.; De Santis, A.; Ippolito, A.; Piscini, A.; Campuzano, S.A.; Sabbagh, D.; Amoruso, L.; Carbone, M.; Santoro, F.; Abbattista, C.; Drimaco, D. Magnetic Field and Electron Density Data Analysis from Swarm Satellites Searching for Ionospheric Effects by Great Earthquakes: 12 Case Studies from 2014 to 2016. Atmosphere 2019, 10, 371.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top