Hunt for slow slip events along the Sumatran subduction zone in a decade of continuous GPS data

Lujia Feng*, Emma M. Hill, Pedro Elõsegui, Qiang Qiu, Iwan Hermawan, Paramesh Banerjee, Kerry Sieh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Slow slip events (SSEs) have been observed in GPS time series for many subduction zones worldwide but not in decade-long GPS time series from the Sumatran GPS Array (SuGAr). An outstanding question has been whether SSEs have simply not occurred on the Sunda megathrust or whether they have been obscured by the prodigious number of earthquakes and their ensuing postseismic deformation within the time of geodetic observation. We remove all known tectonic signals from the time series to search for evidence of SSEs. The residuals are essentially flat at the centimeter scale. To search for signals at the millimeter scale we test various filtering and visualization techniques. Despite these efforts, we conclude that it is difficult to confirm that SSEs exist at this scale using the current data, although we do see a few suspicious signals. The lack of evidence for events may reflect SSEs occurring at a magnitude, location, or timescale that renders them undetectable with the current resolution of the SuGAr, that the properties of this megathrust are not conducive to SSEs, or because the megathrust is in an active period of the earthquake cycle.

Original languageEnglish
Pages (from-to)8623-8632
Number of pages10
JournalJournal of Geophysical Research: Solid Earth
Volume120
Issue number12
DOIs
Publication statusPublished - Dec 1 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
©2015. American Geophysical Union. All Rights Reserved.

ASJC Scopus Subject Areas

  • Geophysics
  • Geochemistry and Petrology
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Keywords

  • GPS
  • slow slip events
  • subduction zone
  • Sumatra
  • transient deformation
  • transient detection

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