Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS dataTools Psimoulis, Panos, Houlié, Nicolas and Behr, Yannik (2018) Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data. Geophysical Research Letters . ISSN 0094-8276 Full text not available from this repository.AbstractEarthquake 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.
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