Improvements from incorporating machine learning algorithms into near real-time operational post-processing

Improvements from incorporating machine learning algorithms into near real-time operational post-processing

Abstract During regional seismic monitoring, data is automatically analyzed in real-time to identify events and provide initial locations and magnitudes. Monitoring networks may apply automatic post-processing to small events (M < 3) to add and refine picks and improve the event before analyst re...

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Bibliographic Details
Main Authors: Gabrielle Tepp, Ellen Yu, Aparna Bhaskaran, Ryan Tam, Weiqiang Zhu, Zackary Newman, Erika Jaski, Nick Scheckel
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Network seismology
Earthquake monitoring
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-14491-1
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https://doi.org/10.1038/s41598-025-14491-1

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