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Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data

Psimoulis, Panos; Houli�, Nicolas; Behr, Yannik

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Authors

Nicolas Houli�

Yannik Behr



Abstract

Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution. A challenge for many EEW systems has been the magnitude saturation for large events (Mw>7) and the resulting underestimation of seismic moment magnitude. In this study, we test the performance of high-rate (1Hz) GPS, based on seven seismic events, to evaluate whether long-period ground motions can be measured well enough to infer reliably earthquake predominant periods. We show that high-rate GPS data allow the computation of a GPS-based predominant period (τg) to estimate lower bounds for the magnitude of earthquakes and distinguish between large (MW>7) and great (MW>8) events and thus extend the capability of EEW systems for larger events. It is also identified the impact of the different value of the smoothing factor α on the τg results and how the sampling rate and the computation process differentiates τg from the commonly used τp.

Citation

Psimoulis, P., Houlié, N., & Behr, Y. (in press). Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data. Geophysical Research Letters, https://doi.org/10.1002/2017GL075816

Journal Article Type Article
Acceptance Date Dec 12, 2017
Online Publication Date Jan 24, 2018
Deposit Date Jan 25, 2018
Publicly Available Date Jan 25, 2018
Journal Geophysical Research Letters
Print ISSN 0094-8276
Electronic ISSN 1944-8007
Publisher American Geophysical Union
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1002/2017GL075816
Public URL https://nottingham-repository.worktribe.com/output/906918
Publisher URL http://onlinelibrary.wiley.com/doi/10.1002/2017GL075816/abstract
Contract Date Jan 25, 2018

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