Earthquake Early Warning

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SCEC Earthquake Early Warning Activities

SCEC4 science plans emphasize the development and use of time-dependent seismic hazard analysis. SCEC is working to extend time-dependent seismic hazard analysis through application of EEW technologies. SCEC is working with the California Integrated Seismic Network (CISN) in the development and evaluation of a prototype CISN EEW system called the CISN ShakeAlert system.

SCEC is working to developed automated CISN EEW performance evaluation system. This system, currently called the CISN Testing Center (CTC), is based on the testing framework developed on the SCEC CSEP project.

CISN EEW Testing Data Sets

CISN EEW Trigger Summary

CISN EEW Station Lists

CISN provided the following list of stations used in current CISN EEW processing

The ShakeMap authorized data source may provide the observational data used to validate short term ground motion forecasts.


ShakeAlert CTC Trac System

EEW-Related SCEC Research Documents and Links

2010

2009

2008

Fig 1: California Station List with M8 Epicenter.
Fig 2: Plotting of ShakeMap observation data for Event in Southern California.
Fig 3: Plotting of ShakeMap observation data for Event in Southern California.


Fig 4: Travel time curves show region for which no warnings are possible because of travel time and processing delays.
Fig 5: ShakeMap color scale shows instrumental intensity estimates or observations.

CTC Abstract for SCEC Annual Meeting 2010

Testing Regional-scale Ground Motion Estimates for the CISN ShakeAlert Project Philip Maechling, Maria Liukis, Thomas H. Jordan

Our SCEC research team has developed initial capabilities of the CISN Testing Center (CTC) as a part of the USGS-funded CISN ShakeAlert Project. The CTC is designed to compare regional-scale ground motion estimates, such as peak ground motion estimates, against observed ground motion data, for significant California Earthquakes. The CTC is designed to identify which ShakeAlert ground motion estimation methods produce the best fit to observed ground motions.

Scientific goals of the CTC include (a) development of consensus among SCEC researchers on meaningful measures of comparison between ground motion estimates and observations, (b) collection and analysis of ShakeAlert performance information, and (c) integration of standard Probabilistic Seismic Hazard Analysis (PSHA) terms and practices into EEW. The technical goal of the CTC is to develop an automated system that can comparing ground motion estimates against ground motion observations. The CTC system used the CSEP testing framework to automate the evaluation of CISN ShakeAlert rapid earthquake parameters including ground motion forecasts for each event.

As part of this year’s CTC development, we updated the CSEP Testing Framework to use the USGS ShakeMap RSS Feed as an authorized source of event-based ground motion observations. As ShakeAlert systems produces rapid ground motion estimates for significant California events, the CTC will evaluate those ShakeAlert ground motion estimates against CISN ground motion observation using goodness-of-fit algorithms defined by CISN scientific groups.

Our ShakeAlert ground motion forecast testing shares scientific and technical goals with several other SCEC activities including validation of attenuation relationships, synthetic ShakeMaps, velocity model and wave propagation model goodness of fit measures, and short term ground motion forecast testing. The CTC system is designed to support CISN ShakeAlert testing and to also be applicable for evaluation of other ground motion estimation methods.

Fig 6: JMA diagram showing EEW concepts and types of EEW system implementations.
Fig 7: JMA diagram showing potential users of EEW ground motion forecasts.
Fig 8: San Francisco Chronicle graphic showing EEW concepts in California.
Fig 9: Current and proposed station locations for CISN.

Additional ShakeAlert Information

ShakeAlert CTC Software Stack Description

The following packages contribute to the software stack used by EEW software:

  • awk
  • sed
  • java
  • python and it's external libraries: matplotlib, basemap, numpy, scipy, xml

References