Detection and analysis of a transient energy burst with beamforming of multiple teleseismic phases. Issue 1 (25th September 2017)

• Record Type: Journal Article
• Authors: Retailleau, Lise; Landès, Matthieu; Gualtieri, Lucia; Shapiro, Nikolai M; Campillo, Michel; Roux, Philippe; Guilbert, Jocelyn
• Is Part Of: Geophysical journal international. Volume 212:Issue 1(2018:Jan.)
• Page Start: 14
• Page End: 24
• Publication Date: 2017-09-25
• Subjects: Body waves -- Seismic noise -- Wave propagation; Geophysics -- Periodicals; 550
• DOI: 10.1093/gji/ggx410
• Languages: English
• ISSNs: 0956-540X

Abstract

Abstract: Seismological detection methods are traditionally based on picking techniques. These methods cannot be used to analyse emergent signals where the arrivals cannot be picked. Here, we detect and locate seismic events by applying a beamforming method that combines multiple body-wave phases to USArray data. This method explores the consistency and characteristic behaviour of teleseismic body waves that are recorded by a large-scale, still dense, seismic network. We perform time-slowness analysis of the signals and correlate this with the time-slowness equivalent of the different body-wave phases predicted by a global traveltime calculator, to determine the occurrence of an event with no a priori information about it. We apply this method continuously to one year of data to analyse the different events that generate signals reaching the USArray network. In particular, we analyse in detail a low-frequency secondary microseismic event that occurred on 2010 February 1. This event, that lasted 1 d, has a narrow frequency band around 0.1 Hz, and it occurred at a distance of 150° to the USArray network, South of Australia. We show that the most energetic phase observed is the PKPab phase. Direct amplitude analysis of regional seismograms confirms the occurrence of this event. We compare the seismic observations with models of the spectral density of the pressure field generated by the interferences between oceanic waves. We attribute the observed signals to a storm-generated microseismic event that occurred along the South East Indian Ridge.