Uncovering the geodetic signature of silent slip through repeating earthquakes
Abstract
Slow transient slip that releases stress along the deep roots of plate interfaces is most often observed on regional GPS networks installed at the surface. The detection of slow slip is not trivial if the dislocation along the fault at depth does not generate a geodetic signal greater than the observational noise level. Instead of the typical workflow of comparing independently gathered seismic and geodetic observations to study slow slip, we use repeating low‐frequency earthquakes to reveal a previously unobserved slow slip event. By aligning GPS time series with episodes of low‐frequency earthquake activity and stacking, we identify a repeating transient slip event that generates a displacement at the surface that is hidden under noise prior to stacking. Our results suggest that the geodetic investigation of transient slip guided by seismological information is essential in exploring the spectrum of fault slip.
Additional Information
© 2015 American Geophysical Union. Issue Online: 15 May 2015; Version of Record online: 24 April 2015; Accepted manuscript online: 02 April 2015; Manuscript accepted: 26 March 2015; Manuscript revised: 25 March 2015; Manuscript received: 01 March 2015. Analyzed GPS time series and low‐frequency earthquake catalog is available upon request to the corresponding author. We thank Caltech for providing the analyzed Meso‐America Subduction Experiment data set and the SSN and INEGI for making the GPS data set available. This work was supported by the Agence Nationale de la Recherche (France) under the contract RA0000CO69 (G‐GAP), the DataScale project and Labex OSUG@2020 (Investissements d'avenir ANR10 LABX56), by the European Research Council under the contract FP7 ERC Advanced grant 227507 (WHISPER), by PAPIIT IN110514 and CONACYT 178058 (Mexico), and by the Russian Science Foundation (grant 14‐47‐00002). Numerical computations were performed on the S‐CAPAD platform, IPGP, France. The Editor thanks Pascal Audet and Joan Gomberg for their assistance in evaluating this paper.Attached Files
Published - 2015GL063685.pdf
Supplemental Material - grl52820-sup-0001-2015gl063685a.tex
Supplemental Material - grl52820-sup-0002-2015gl063685ap01.pdf
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Additional details
- Eprint ID
- 108977
- Resolver ID
- CaltechAUTHORS:20210505-094730321
- Agence Nationale pour la Recherche (ANR)
- RA0000CO69
- Agence Nationale pour la Recherche (ANR)
- ANR10 LABX56
- European Research Council (ERC)
- 227507
- Universidad Nacional Autónoma de México (UNAM)
- IN110514
- Consejo Nacional de Ciencia y Tecnología (CONACYT)
- 178058
- Russian Science Foundation
- 14‐47‐00002
- Created
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2021-05-06Created from EPrint's datestamp field
- Updated
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2021-05-06Created from EPrint's last_modified field