Published July 17, 2025 | Version v2
Dataset Open

2019 Ridgecrest Earthquake Sequence Long-Term Hypocenter and Moment Tensor Catalog (Version 2)

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon United States Geological Survey

Description

This is the new preferred version of the catalog produced in Atterholt, Wilding, & Ross (2025). This update corrects a parameter choice in the relative relocation step (tdif_fmt) that reduces scatter in the final catalog. This update does not change the results of the original study. Please cite Atterholt, Wilding, & Ross (2025) if using this catalog. Included are:

  1. A relocated earthquake hypocenter location catalog made using PhaseNO (Sun et al., 2023) for phase picking, GaMMA (Zhu et al., 2022) for phase association, HypoSVI (Smith et al., 2021) for absolute location, and GrowClust (Trugman & Shearer, 2017) for cross-correlation-based relative relocation.
  2. A corresponding earthquake moment tensor catalog made using the picks from the hypocenter catalog and the Bayesian framework outlined in Wilding & Ross (2024).

Citations:

  • Atterholt, J., Wilding, J. D., & Ross., Z. E. (2025). The evolution of fault orientation in the 2019 Ridgecrest earthquake sequence with a new long-term catalogue of seismicity and moment tensors. Geophysical Journal International, 240(3), 1579–1592. https://doi.org/10.1093/gji/ggaf001
  • Sun, H., Ross, Z. E., Zhu, W., & Azizzadenesheli, K. (2023). Phase Neural Operator for Multi‐Station Picking of Seismic Arrivals. Geophysical Research Letters, 50(24), e2023GL106434. https://doi.org/10.1029/2023GL106434
  • Zhu, W., McBrearty, I. W., Mousavi, S. M., Ellsworth, W. L., & Beroza, G. C. (2022). Earthquake Phase Association Using a Bayesian Gaussian Mixture Model. Journal of Geophysical Research: Solid Earth, 127(5), e2021JB023249. https://doi.org/10.1029/2021JB023249
  • Smith, J. D., Ross, Z. E., Azizzadenesheli, K., & Muir, J. B. (2021). HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks. Geophysical Journal International, 228(1), 698–710. https://doi.org/10.1093/gji/ggab309
  • Trugman, D. T., & Shearer, P. M. (2017). GrowClust: A Hierarchical Clustering Algorithm for Relative Earthquake Relocation, with Application to the Spanish Springs and Sheldon, Nevada, Earthquake Sequences. Seismological Research Letters, 88(2A), 379–391. https://doi.org/10.1785/0220160188

Files

AWR_Hypocenter_Catalog_v2.csv
Files (21.7 MB)
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md5:9c0feed366771d17e1cdbe93b4e1fe35
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md5:e1637514295fb9a77d8c066b35e4e668
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Additional details

Created:
July 17, 2025
Modified:
July 17, 2025