Published December 2, 2023 | Version 1.0.0
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Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms (supplementary material)

Description

Supplementary material for Sawi et al., 2023, Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms (The Seismic Record). Catalog of repeating earthquakes in sequences on a 10-km long segment of the San Andreas Fault in California from 1984-2019. 

 

Catalog Header

YR/MO/DY...........Date of event

HR/MN/SC...........Time of event

LAT/LON/DEP........Location of event

EX/EY/EZ...........Relative location uncertainty (in m)

MAG................NCSN magnitude

evID.................NCSN event ID

seqID................Repeating earthquake sequence ID

isRESp............Is quasi-periodic RES (bool)

 

References: 

Sawi T., Waldhauser F., Holtzman B. K., Groebner, N. (2023) Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms. The Seismic Record. 

Waldhauser, F., and Schaff, D. P. (2021). A Comprehensive Search for Repeating Earthquakes in Northern California: Implications for Fault Creep, Slip Rates, Slip Partitioning, and Transient Stress. J Geophys Res B Solid Earth, 126(11), 1–22. https://doi.org/10.1029/2021JB022495

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Additional details

Funding

U.S. National Science Foundation
Graduate Research Fellowship Program (GRFP) 2036197
U.S. National Science Foundation
National Earthquake Hazards Reduction Program (NEHRP) 0926222

Dates

Available
2023-12-02
Published