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Automated GNSS and Teleseismic Earthquake Inversion (AutoQuake Inversion) for Tsunami Early Warning: Retrospective and Real-Time Results

Chen, Kejie and Liu, Zhen and Song, Y. Tony (2020) Automated GNSS and Teleseismic Earthquake Inversion (AutoQuake Inversion) for Tsunami Early Warning: Retrospective and Real-Time Results. Pure and Applied Geophysics, 177 (3). pp. 1403-1423. ISSN 0033-4553. https://resolver.caltech.edu/CaltechAUTHORS:20190618-110551307

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Abstract

Rapid finite fault source determination is critical for reliable and robust tsunami early warnings. Near-field Global Navigation Satellite System (GNSS) observations have shown value to constrain the source inversion, but real-time GNSS stations are sparse along most of the active faults. Here we propose an automatic earthquake finite source inversion (AutoQuake Inversion) algorithm jointly using near-field (epicentral distance < 1000 km) GNSS data and mid-range (epicentral distance from 30° to 45°) teleseismic P displacement waveforms. Neither the near-field GNSS nor the mid-range teleseismic data clip or saturate during large earthquakes, while the fast-traveling P-waves are still essential to constrain the source in regions where very few or no GNSS stations are available. Real-time determination of the fault geometry remains to be the main challenge for rapid finite source inversion. We adopt a strategy to use the pre-defined geometry Slab2 for earthquakes within it or to forecast a focal mechanism based on near-by historical events for earthquakes without Slab2 prior. The algorithm has been implemented successfully in the prototype of JPL’s GPS-Aided Tsunami Early-Detection system and tested for many real events recently. This article provides the framework of the algorithm, documents the retrospective and real-time results, and discusses remaining challenges for future improvements.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/s00024-019-02252-xDOIArticle
https://rdcu.be/b24glPublisherFree ReadCube access
ORCID:
AuthorORCID
Chen, Kejie0000-0002-8878-1731
Liu, Zhen0000-0002-6313-823X
Song, Y. Tony0000-0001-6903-0804
Additional Information:© 2019 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply. Received 23 March 2019; Revised 30 May 2019; Accepted 07 June 2019; Published 18 June 2019; Issue Date March 2020. We thank two anonymous reviewers for constructive comments. The research described here was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under contracts with NASA. The Sentineal-1 InSAR measurements for 5 August 2018 Mw 7.0 Lombok event were provided by Advanced Rapid Imaging and Analysis project (ARIA) group at JPL and Caltech. The seismic waveforms were provided by Data Management Center of the Incorporated Research Institutions for Seismology. GNSS data were provided by JPL (www.gdgps.net) and GEONET of Japan. Slab2 is available at https://github.com/usgs/slab2 and Global catenoid moment tensors are available at https://www.globalcmt.org/CMTsearch.html. The work also made use of GMT software for plotting and SAC for seismic data processing.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Issue or Number:3
Record Number:CaltechAUTHORS:20190618-110551307
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190618-110551307
Official Citation:Chen, K., Liu, Z. & Song, Y.T. Automated GNSS and Teleseismic Earthquake Inversion (AutoQuake Inversion) for Tsunami Early Warning: Retrospective and Real-Time Results. Pure Appl. Geophys. 177, 1403–1423 (2020). https://doi.org/10.1007/s00024-019-02252-x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96501
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:18 Jun 2019 19:39
Last Modified:17 Mar 2020 19:52

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