ShakeAlert v. 2.0 Testing and Certification
Abstract
Earthquake early warning algorithms have to undergo rigorous real-time and offline testing before being accepted into the ShakeAlert production system. In anticipation of the scheduled ShakeAlert v. 2.0 phase 1 rollout in late 2018, multiple algorithms and associated configurations were tested using the ShakeAlert Testing and Certification platform procedure. The testing system attempts to simulate how the production system will perform by deploying the proposed algorithms, configurations, earthworm rings/modules, and ActiveMQ messaging on separate, nearly identical hardware. For the real-time testing, the test servers are fed the same West Coast input waveform data, and the algorithms' performance is compared between the test and existing production systems after a minimum of two weeks. For the offline testing, four simultaneous instances of the algorithms are run on one machine with a historic test suite of earthworm tankplayer files (format used for replaying data into an earthworm ring with realistic timing). These tankplayer files include data from West Coast earthquakes (M4.1 to M7.2), teleseisms, regional events, and problematic data sets (recenterings, calibrations, noisy data, etc.). The algorithms included in the ShakeAlert v 2.0 test are: 1) EPIC (Earthquake Point-source Integrated Code), 2) FinDer (Finite Fault Detector), 3) EqInfo2GM (Earthquake Information to Ground Motion), 4) SA (Solution Aggregator), and 5) DM (Decision Module).
In addition, ShakeAlert testing and certification has ongoing development in several areas. One key area is developing a data set of recent West Coast M3.0+ events. This large data set will augment the current historic test suite with events that occurred in a relatively modern seismic network configuration. A second key area is generating a set of tankplayer files of larger magnitude Japanese events. This will help in assessing the capabilities of the different algorithms in alerting for the less frequent, larger magnitude events. Initial work has been done to change the density of the Japanese stations used to more closely match the station configuration on the West Coast for these tests. Last, utilizing the Cascadia M9 synthetic waveform data will contribute toward testing the algorithms' performance for a large Pacific Northwest subduction zone event.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.S24C..07S
- Keywords:
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- 4315 Monitoring;
- forecasting;
- prediction;
- NATURAL HAZARDSDE: 7215 Earthquake source observations;
- SEISMOLOGYDE: 7219 Seismic monitoring and test-ban treaty verification;
- SEISMOLOGYDE: 7294 Seismic instruments and networks;
- SEISMOLOGY