Earthquake Early Warning: Current Status and Latest Innovations [Poster]
The field of earthquake early warning (EEW) is expanding, incorporating research from a wide range of other domains including computer science, civil engineering and social science. The number of examples of earthquakes recorded by operational EEW systems continues to grow. The 2019 Ridgecrest sequence, for example, included both the largest main shock and the most energetic aftershock sequence encountered by the US ShakeAlert EEW system. This sequence, along with other large earthquakes e.g. in Japan, Mexico and China, provide operational experience and insight into the potential and the limitations of EEW systems. Many challenges remain to maximize the potential of these systems. Unanswered questions range from the scientific (e.g., real-time magnitude estimates of large earthquakes and rupture predictability) to the practical (e.g., how to distribute alerts to the public most efficiently, minimizing data transmission delays).
In this session we welcome abstracts related to all aspects of EEW including, but not limited to, algorithm development, system performance, improved trigger detection/discrimination techniques, network build-out, alerting methods and technology and EEW education and outreach.
Conveners
Angela I. Chung, University of California, Berkeley (angiechung07@gmail.com); Men-Andrin Meier, Caltech (mmeier@caltech.edu)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Performance Evaluation of a Dense MEMS-Based Seismic Sensor Array Deployed in the Sichuan-Yunnan Border Region for Earthquake Early Warning | View |
| Submission | Earthquake Magnitudes and Ground Motions Derived from Borehole Strainmeter Data | View |
| Submission | Validating Ground Motion Predictions from Peak Ground Displacement Scaling in Cascadia Simulations | View |
| Submission | ShakeAlert Earthquake Early Warning Time-to-Alert Improvements in California and the Push for Seismic Network Build-Out | View |
| Submission | An EPIC Machine Learning Implementation | View |
| Submission | The Limits of Effective Earthquake Early Warning by Estimating Mw: From Viewpoint of Real-Time Prediction of Strong Motion | View |
| Submission | Optimization of Elarms3 in Korean Peninsula Using Simulation | View |
| Submission | Investigating Earthquake Early Warning Feasibility across Europe | View |
| Submission | The Future Strong Motion National Seismic Networks in Central America Designed for Earthquake Early Warning | View |
| Submission | 25-Second Determination of 2019 M7.1 Ridgecrest Earthquake Coseismic Deformation from Global GNSS Seismic Monitoring | View |
| Submission | SCSN Advanced Telemetry Planning Tools and Real-Time System Monitoring | View |
| Submission | Considerations for a National Earthquake Early Warning System for Canada | View |
| Submission | Ground Acceleration Induced GNSS Satellite Loss-of-Lock During the 2016 M7.8 Kaikōura Earthquake, New Zealand | View |
| Submission | Earthquake Early Warning Testing Developments: Generation of Realistic Warning Times for Large Magnitude Events | View |
| Submission | Using the Caltech Community Seismic Network for Early Warning | View |
| Submission | Examination of Event Dependent Latency Values for the Earthquakes Recorded by the Northern California Earthquake Data Center for Use in ShakeAlert | View |
Earthquake Early Warning: Current Status and Latest Innovations [Poster]
Description