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Monitoring Data Quality by Comparing Co-located Broadband and Strong‐Motion Waveforms in Southern California Seismic Network

Li, Zefeng and Hauksson, Egill and Heaton, Tom and Rivera, Luis and Andrews, Jennifer (2019) Monitoring Data Quality by Comparing Co-located Broadband and Strong‐Motion Waveforms in Southern California Seismic Network. Seismological Research Letters, 90 (2A). pp. 699-707. ISSN 0895-0695. http://resolver.caltech.edu/CaltechAUTHORS:20190201-084630537

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Abstract

Anomalous or low‐quality seismic data from seismometer malfunctions or incorrect metadata can interfere with real‐time seismic processing and degrade products provided by earthquake early warning systems. Thus, it is important to monitor data quality to detect sensor failures rapidly and exclude anomalous data from processing. Here, we detect data anomalies and malfunctioning sensors by comparing instrumentally corrected waveforms between co‐located broadband and strong‐motion seismometers in Southern California Seismic Network (SCSN). We assume that a signal within the common resolution range of both sensors should have near‐identical instrumentally corrected waveforms. Specifically, two waveform consistency metrics, amplitude ratio and cross‐correlation coefficient, are evaluated. Both metrics should be ∼1 for normal data; deviation from 1 in either metric indicates at least one of the sensors is producing unreliable data. We examine these two metrics for 1 yr of local earthquake records and identify 32 problematic channels out of a total of 672 in the SCSN. In addition, we show the feasibility of near‐real‐time data quality monitoring through measuring the inconsistency rate over a short period of time using anonymous large‐amplitude signals. We highlight this method because of its general detectability in a broad variety of data issues and ease of integration into real‐time monitoring systems. This method is expected to help identify malfunctioning instruments and enhance overall network data quality, which is required to lay a solid foundation for robust earthquake early warning and other real‐time seismic processing systems.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1785/0220180331DOIArticle
ORCID:
AuthorORCID
Li, Zefeng0000-0003-4405-8872
Hauksson, Egill0000-0002-6834-5051
Heaton, Tom0000-0003-3363-2197
Andrews, Jennifer0000-0002-5679-5565
Additional Information:© 2019 Seismological Society of America. Published Online 30 January 2019. Data and Resources: The seismic waveforms and the earthquake catalog used in this study are from the California Institute of Technology (Caltech)/U.S. Geological Survey (USGS) Southern California Seismic Network (doi: 10.7914/SN/CI) stored at the Southern California Earthquake Data Center (doi: 10.7909/C3WD3xH1). The authors thank the editors and reviewers for constructive comments, which helped improve this article. This research is supported by a Gordon and Betty Moore Foundation grant to California Institute of Technology (Caltech).
Group:Seismological Laboratory
Funders:
Funding AgencyGrant Number
Gordon and Betty Moore FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20190201-084630537
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190201-084630537
Official Citation:Zefeng Li, Egill Hauksson, Tom Heaton, Luis Rivera, Jennifer Andrews; Monitoring Data Quality by Comparing Co‐located Broadband and Strong‐Motion Waveforms in Southern California Seismic Network. Seismological Research Letters ; 90 (2A): 699–707. doi: https://doi.org/10.1785/0220180331
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92552
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:01 Feb 2019 17:18
Last Modified:01 Mar 2019 22:39

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