Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning

Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning

Abstract We propose a new machine learning‐based method for nowcasting earthquakes to image the time‐dependent earthquake cycle. The result is a timeseries that may correspond to the process of stress accumulation and release. The timeseries are constructed by using principal component analysis of r...

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Bibliographic Details
Main Authors: John B. Rundle, Andrea Donnellan, Geoffrey Fox, James P. Crutchfield, Robert Granat
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-12-01
Series:Earth and Space Science
Subjects:
earthquakes
machine learning
validation
verification
nowcasting
hazards
Online Access:https://doi.org/10.1029/2021EA001757

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