Non-volcanic tremor and low-frequency earthquake swarms
By D. Shelly, Gregory C. Beroza, Satoshi Ide. Nature, 2007
926 citations recorded by the source corpus.
Subfields: Geophysics
View Paper: https://www.semanticscholar.org/paper/11aa026cc5aab9c196995236fdf4477192afcedf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geophysics
- Gregory C. Beroza
- Zhigang Peng
- Karianne J. Bergen
- Peter Gerstoft
- K. Shiomi
- David P. Hill
- D. Shelly
- Zachary E. Ross
Citations in the corpus
- Triggered creep as a possible mechanism for delayed dynamic triggering of tremor and earthquakes (2011, background): “Growing evidence indicates that tremor is composed of many overlapping events, individually called low-frequency earthquake”
- Dynamics of a velocity strengthening fault region: Implications for slow earthquakes and postseismic slip (2008, neutral): “Deep low-frequency earthquakes have also been observed in coincidence with tremor and episodic slow slip in subduction zones, with focal mechanism and location consistent with interplate slip [ Shelly et al. , 2006, 2007].”
- Decay and expansion of the early aftershock activity following the 2011, Mw9.0 Tohoku earthquake (2012, methodology): “The waveform matching technique has been proven successful in detecting low frequency earthquakes (LFE) from tremor signals [e.g., Shelly et al., 2007] and recovering missing earthquakes during aftershock [e.g., Lengliné and Marsan, 2009; Peng and Zhao, 2009], foreshock [Bouchon et al., 2011; Kato…”
- Earthquake detection through computationally efficient similarity search (2015, methodology): “Many template matching studies (7, 8, 11) have demonstrated that incorporating channels from multiple stations enhances detection sensitivity, revealing low-snr signals buried in noise.”
- Machine Learning in Seismology: Turning Data into Insights (2018, background): “…each category. matching), which uses waveforms of known events as templates to scan through continuous waveforms for new event detection (Gibbons and Ringdal, 2006; Shelly et al. , 2007; Peng and Zhao, 2009; Kato et al. , 2012; Ross et al. , 2017; Beaucé et al. , 2018; Chamberlain et al. , 2018).”