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Remote Sens. 2010, 2(9), 2170-2184; doi:10.3390/rs2092170
Article
A Study of the Correlation between Earthquakes and NOAA Satellite Energetic Particle Bursts
1
INFN, Via A. Pascoli, Perugia, Italy
2
Dipartimento di Fisica Università di Perugia, Via A. Pascoli, Perugia, Italy
* Author to whom correspondence should be addressed.
Received: 16 July 2010; in revised form: 6 September 2010 / Accepted: 7 September 2010 / Published: 15 September 2010
(This article belongs to the Special Issue Remote Sensing in Seismology)
The original version is still available [698 KB, uploaded 15 September 2010 12:00 CEST]
Abstract: Over the last two decades, potentially interesting phenomena in the ionosphere-magnetosphere transition region have been studied; anomalous particle fluxes detected by several space experiments and correlated with earthquakes. These phenomena are characterized by short-term increases in high energy particle counting rates, called particle bursts. In this work we have used the NOAA electron flux data to study the time correlation between particle rate fluctuations and earthquakes. With respect to previous studies, we have analyzed contiguous particle bursts in order to distinguish correlations with seismic activity from seasonal variations of particle flux and solar activity. Earthquake clustering was initially included to study the types and causes of false correlations.
Keywords: remote sensing; earthquakes; Van Allen belts; particle burst; correlations
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MDPI and ACS Style
Fidani, C.; Battiston, R.; Burger, W.J. A Study of the Correlation between Earthquakes and NOAA Satellite Energetic Particle Bursts. Remote Sens. 2010, 2, 2170-2184.
AMA StyleFidani C, Battiston R, Burger WJ. A Study of the Correlation between Earthquakes and NOAA Satellite Energetic Particle Bursts. Remote Sensing. 2010; 2(9):2170-2184.
Chicago/Turabian StyleFidani, Cristiano; Battiston, Roberto; Burger, William J. 2010. "A Study of the Correlation between Earthquakes and NOAA Satellite Energetic Particle Bursts." Remote Sens. 2, no. 9: 2170-2184.
Remote Sens.
EISSN 2072-4292
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