Abstract

In Japan, the nationwide earthquake early warning (EEW) system has been being operated by the Japan Meteorological Agency (JMA) since 2007, disseminating information on imminent strong ground motion to the general public and advanced technical users. In the beginning of the operation, the system ran based mainly on standard source-based algorithms with a point-source location estimate and ground motion prediction equation. The point-source algorithms successfully provided ground motion predictions with high accuracy during the initial operation; however, the 2011 Mw9.0 Tohoku-Oki earthquake and the subsequent intense aftershock and triggered earthquake activities underscored the weaknesses of the source-based approach. In this paper, we summarize major system developments after the Tohoku-Oki event to overcome the limits of the standard point-source algorithms and to enhance the EEW performance further. In addition, we evaluate how the system performance was influenced by the updates. One of significant improvements in the JMA EEW system was the implementation of two new ground motion prediction methods: the integrated particle filter (IPF) and propagation of local undamped motion (PLUM) algorithms. IPF is a robust point-source algorithm based on the Bayesian inference, and PLUM is a wavefield-based algorithm that predicts ground motions directly from observed shakings. Another notable update was the incorporation of new observation facilities including S-net, a large-scale ocean bottom seismometer network deployed along the Japan and Kuril trenches. The prediction accuracy and warning issuance performance analysis for the updated JMA EEW system showed that IPF improved the source-based ground motion prediction accuracy and reduced the risk of issuing overpredicted warnings. PLUM made the system less likely to underpredict strong ground motions and improved the warning issuance timeliness. The detection time analysis for the S-net incorporation suggested that S-net enabled the system to issue the first EEW report earlier than before the S-net incorporation for earthquakes around the Japan and Kuril trenches. Those findings indicate that the JMA EEW system has made substantial progress both on software and hardware aspects over the 10 years after the Tohoku-Oki earthquake.

Highlights

  • It has been 10 years since the 2011 off the Pacific coast of Tohoku earthquake (Tohoku-Oki earthquake), a Mw9.0 megathrust event in the Japan Trench, occurred on March 11, 2011

  • We investigated how the prediction accuracy of the Japan Meteorological Agency (JMA) earthquake early warning (EEW) system changed with the integrated particle filter (IPF) and propagation of local undamped motion (PLUM) implementation, using the maximum and final ground motion prediction results

  • The 2011 Mw9.0 Tohoku-Oki earthquake and subsequent intense earthquake sequence underscored technical limitations of the source-based algorithms employed in the initial JMA EEW system

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Summary

INTRODUCTION

It has been 10 years since the 2011 off the Pacific coast of Tohoku earthquake (Tohoku-Oki earthquake), a Mw9.0 megathrust event in the Japan Trench, occurred on March 11, 2011. During the second and third periods, the PSM algorithms tended to underpredict ground motions especially for strong shakings of IJMA ≥ 5L in the final EEW reports, with prediction errors of one to three IJMA units (Figures 4B,C). Most of those strong shakings were caused by large inland earthquakes and were observed near the epicenters. There were two earthquakes with observed IJMA 3 for which the system issued overpredicted warnings, owing to source parameter estimates by IPF Those were due to magnitude overestimation in an early stage and unstable hypocenter location estimates at the seismometer network boundary. The detection time reduction for earthquakes inside the area was larger than ∼2.0 s; the timeliness improvement by S-net was significant

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