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

التفاصيل البيبلوغرافية
العنوان: A stress test to evaluate the usefulness of Akaike information criterion in short-term earthquake prediction
المؤلفون: Roberta Tozzi, Fabrizio Masci, Michael Pezzopane
المصدر: Scientific Reports
سنة النشر: 2020
مصطلحات موضوعية: 021110 strategic, defence & security studies, Multidisciplinary, 010504 meteorology & atmospheric sciences, Computer science, TEC, Earthquake prediction, 0211 other engineering and technologies, Natural hazards, 02 engineering and technology, 01 natural sciences, Article, Term (time), Earth's magnetic field, Space physics, Ionospheric total electron content, Stress test, Large earthquakes, Statistics, Akaike information criterion, Seismology, 0105 earth and related environmental sciences
الوصف: 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 specific local times and around moderate and high solar and geomagnetic activity. The outcome of this study is that AIC method is not concretely usable for issuing large earthquakes alerts.
تدمد: 2045-2322
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4402d6ba9af35cacd008be4f1ec43e9c
https://pubmed.ncbi.nlm.nih.gov/33273547
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....4402d6ba9af35cacd008be4f1ec43e9c
قاعدة البيانات: OpenAIRE