Optimizing Earthquake Nowcasting With Machine Learning: The Role of Strain Hardening in the Earthquake Cycle

Optimizing Earthquake Nowcasting With Machine Learning: The Role of Strain Hardening in the Earthquake Cycle

Abstract Nowcasting is a term originating from economics, finance, and meteorology. It refers to the process of determining the uncertain state of the economy, markets or the weather at the current time by indirect means. In this paper, we describe a simple two‐parameter data analysis that reveals h...

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Bibliographic Details
Main Authors: John B. Rundle, Joe Yazbeck, Andrea Donnellan, Geoffrey Fox, Lisa Grant Ludwig, Michael Heflin, James Crutchfield
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-11-01
Series:Earth and Space Science
Subjects:
earthquakes
nowcasting
machine learning
strain hardening
receiver operating characteristic
earthquake cycle
Online Access:https://doi.org/10.1029/2022EA002343

Internet

https://doi.org/10.1029/2022EA002343

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