2004
DOI: 10.5194/nhess-4-697-2004
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Correlation analysis technique revealing ionospheric precursors of earthquakes

Abstract: Abstract. In this paper we focus on the variability of electron concentration in the ionosphere measured by ground based ionosondes and GPS receivers around the time of strong earthquakes. It has been detected and statistically proven that several days before the seismic shock the level of this variability increases at the station closest to the epicenter, a fact which can be regarded as precursory phenomenon. More precisely the localness of this specific kind of ionospheric variability is used for the correla… Show more

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Cited by 73 publications
(45 citation statements)
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“…This earthquake was the main shock of a series of pre-seismic events, which started in February and continued through March 2009. The earthquake preparation area is calculated as 511 km according to the Dobrovolsky equation (Dobrovolsky et al, 1979;Pulinets et al, 2004) …”
Section: Resultsmentioning
confidence: 99%
“…This earthquake was the main shock of a series of pre-seismic events, which started in February and continued through March 2009. The earthquake preparation area is calculated as 511 km according to the Dobrovolsky equation (Dobrovolsky et al, 1979;Pulinets et al, 2004) …”
Section: Resultsmentioning
confidence: 99%
“…The similar technique for the F-layer parameters of the ionosphere was developed by Gaivoronskaya and Pulinets (2002). This technique was extended for the GPS TEC measurements (Pulinets et al, 2004a). To determine the radius of correlation associated with the seismic activity the conception of the earthquake preparation zone was used.…”
Section: The Correlation Indexmentioning
confidence: 99%
“…The daily cross-correlation coefficient (3) for the two stations should be calculated where the hourly values of the critical frequencies foF2 are used. The same technique can be used for GPS TEC records using data from two receivers selected by the same criteria as the ionospheric stations (Pulinets et al 2004b). The summation index in this case will be different depending on the GPS data sampling interval,…”
Section: Development Of Practical Applications Using Ionospheric Precmentioning
confidence: 99%