[1]
Madrid, España
In the last two decades, the attention paid to the possible influence of earthquakes on the ionosphere has increased exponentially. The use of GNSS derived data has played a decisive role in this development and many of the recent studies are based on the detection and analysis of Total Electron Content, TEC, anomalies that can be attributed to the seismic process. The methodologies adopted with this aim are very different and the election of the way the TEC is processed has a decisive influence on their efficiency. This work studies three parameters directly related to this subject: Nd, vTECREL, and vTEC*Sigma. The first one, Nd, indicates the number of undisturbed days before the earthquake which are used to estimate the mean value of the Vertical Total Electron Content, vTECM. In turn, vTEC*Sigma and vTECREL express the relative values of the observed variation in two different ways as they are scaled by the standard deviation and by the mean value, respectively. The analysis is applied in the context of the Mw 6.1 Cephalonia 2014 earthquake, adopted as a case study. The results point that Nd can be significantly diminished without affecting the vTEC*Sigma and vTECREL results and that vTEC*Sigma seems to be more recommendable than vTECREL for the analysis of anomalies related to seismic processes due to its stability when Nd diminishes.
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