Journal
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
Volume 121, Issue 12, Pages 9077-9094Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2016JB013542
Keywords
-
Categories
Funding
- NASA AIST-11 [NNX09AI67G]
- NASA ROSES [NNX12AK24G]
- NASA's Earth Surface and Interior focus area
- NASA MEaSUREs [NNX13AI45A]
- Gordon and Betty Moore Foundation [663450]
- NASA [NNX12AK24G, 473357, NNX13AI45A, 43463] Funding Source: Federal RePORTER
Ask authors/readers for more resources
The discovery of slow-slip events over the past decades has changed our understanding of tectonic hazards and the earthquake cycle. Proper geodetic characterization of slow-slip events is necessary for studies of regional interseismic, coseismic and postseismic deformation, and miscalculations can affect our understanding of the regional stress field and tectonic hazard. Because of the proliferation of GPS data over the last two decades, an automated algorithm is required to analyze the signals and model the deformation on a station by station basis. Using the relative strength index (RSI), a financial momentum oscillator, we test the ability to detect events of various sizes and durations. We first determine the statistics of the RSI under different noise conditions and then use this information as the basis for the automated transient detection algorithm by testing different synthetic signals. We then apply the technique to daily GPS displacement time series from 213 stations along the Cascadia subduction zone to form a record of transient deformation between 2005 and 2016. Our estimates of the spatial extent, duration, and propagation of major episodic tremor and slip (ETS) events are consistent with previous studies. We use the automated detections to remodel the displacement time series and obtain transient deformation rates over the past decade and discuss the tectonic implications. Finally, we analyze the correlation between transient detections and tremor showing good agreement between the two at slab depths commonly associated with ETS events.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available