Work Description

Title: Relative Moment Magnitude (Mw) Estimates for 2019 Ridgecrest, CA Sequence Open Access Deposited

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Methodology
  • We use the relative magnitude method (Cleveland and Ammon 2015; Gable and Huang 2024a) to estimate moment magnitude (Mw ) for the 2019 Ridgecrest Earthquake sequence. We first apply a signal to noise ratio (SNR) threshold and cross correlation (CC) coefficient threshold test to exclude waveforms with low data quality (see table 1 in Gable and Huang 2024b for SNR and CC threshold values used in this study). For each waveform pair that passes both tests, amplitude ratios are averaged across all channels (NS, EW, and vertical). Then, measurements for each event pair are also averaged across each available station. We require amplitude ratio measurements to be available from at least 2 stations and the events in each pair must be located within 0.2 arc degrees. We measure the amplitude ratio (α) between two waveforms using the ratio of the elements of the largest eigenvector (v1 and v2) of the waveform’s covariance matrix (Shelly et al. 2016) and multiply by a scaling coefficient of 2/3 (with the exception of the local magnitude case). Once the final amplitude ratio is determined for each event pair, we calculate the “best-fit” magnitudes from a least squares inversion.

  • To calibrate the relative Mw estimates in this study, we use the 125 available moment magnitudes in the Southern California Seismic Network catalog. For the relative ML calibration, we use ML estimates for the same 125 events which are available from the United States Geological Survey (contributed by the CI network).

  • Once we establish a base set of magnitudes using the input parameters (summarized in Table 1 of Gable and Huang 2024b), we investigate the variability of the relative magnitude results by changing each input parameter and comparing the results in each new case to the base case.

  • Relevant Citations: Cleveland, K.M., and C.J. Ammon (2015). Precise Relative Earthquake Magnitudes from Cross Correlation, Bull. Seismol. Soc. Am. 105, 1792-1796, doi: 10.1785/0120140329. Gable, S.L., and Y. Huang (2024). New estimates of magnitude-frequency distribution and b-value using relative magnitudes for the 2011 Prague, Oklahoma earthquake sequence, J. Geophys. Res. 129, e2023JB026455, doi: 10.1029/2023JB026455. Gable, S.L., and Y. Huang (2024). Quantifying Magnitude Uncertainty of the 2019 Ridgecrest Earthquake Sequence Through a Sensitivity Study of the Relative Magnitude Method. Bull. Seismol. Soc. Am. (in production) Shelly, D.R., W.L. Ellsworth, D.P. Hill (2016). Fluid faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm, J. Geophys. Res. 121, 1778-1795, doi: 10.1002/2015JB012719.
Description
  • This dataset includes a catalog of events for the 2019 Ridgecrest, CA earthquake sequence with calibrated relative moment magnitude estimates. We include results from all cases described in Gable and Huang 2024b.
Creator
Depositor
  • gablesyd@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
Keyword
Date coverage
  • 2019-07-04 to 2019-07-16
Citations to related material
  • Gable, S.L., and Y. Huang (2024). Quantifying Magnitude Uncertainty of the 2019 Ridgecrest Earthquake Sequence Through a Sensitivity Study of the Relative Magnitude Method. Bull. Seismol. Soc. Am. (in production)
Resource type
Last modified
  • 11/11/2024
Published
  • 11/11/2024
Language
DOI
  • https://doi.org/10.7302/cmqq-9e09
License
To Cite this Work:
Gable, S. L., Huang, Y. (2024). Relative Moment Magnitude (Mw) Estimates for 2019 Ridgecrest, CA Sequence [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/cmqq-9e09

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README 2024-11-08 2024-11-08 4.08 KB Open Access
Ridgecrest_magnitude_catalog.csv 2024-11-08 2024-11-08 10.5 MB Open Access

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