A stress test to evaluate the usefulness of Akaike information criterion in short-term earthquake prediction.

ABSTRACT: Akaike information criterion (AIC) has been recently adopted to identify possible earthquake precursors in ionospheric total electron content (TEC). According to the authors of this methodology, their technique allows finding abrupt increases (positive breaks) in vertical TEC rate of change 25-80 min before the occurrence of large earthquakes, highlighting a promising implication of AIC method in Mw > 8 earthquakes alert strategies. Due to the relevance of this matter, a lively scientific debate ensued from these results. In this study, we carefully evaluate AIC method potentiality in searching earthquake TEC precursory signatures. We first investigate the dependence of the detected breaks number on the adjustable AIC method parameters. Then, we show that breaks occurrence clusters around

SUBMITTER: Tozzi R 

PROVIDER: S-EPMC7713355 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature