Deep Learning of Detecting Ionospheric Precursors Associated With M ≥ 6.0 Earthquakes in Taiwan

Deep Learning of Detecting Ionospheric Precursors Associated With M ≥ 6.0 Earthquakes in Taiwan

Abstract A short‐term (30 days before an earthquake) prediction of an earthquake is a big challenge in seismology. As a first step, we apply deep learning to the ionospheric total electron content (TEC) data between 2003 and 2014 to detect the seismo‐ionospheric precursors of M ≥ 6.0 earthquakes in...

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Bibliographic Details
Main Authors: T. C. Tsai, H. K. Jhuang, Y. Y. Ho, L. C. Lee, W. C. Su, S. L. Hung, K. H. Lee, C. C. Fu, H. C. Lin, C. L. Kuo
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-09-01
Series:Earth and Space Science
Subjects:
total electron content
earthquake prediction
deep learning
Online Access:https://doi.org/10.1029/2022EA002289

Internet

https://doi.org/10.1029/2022EA002289

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