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ShakeAlert EPIcenter Partnership

The ShakeAlert EPIcenter Partnership is a network of museums, libraries, parks, and other Free-Choice Learning Environments committed to promoting earthquake resilience in our institutions and in our communities.

Virtual Seismologist

The  Virtual Seismologist (VS method) was retired from the ShakeAlert production prototype system in November 2016. The Virtual Seismologist (VS method) uses envelopes of acceleration, velocity, and displacement as the basic data input to a Bayesian framework that also incorporates other types of information (e.g., topology of the seismic network, recent seismic activity). The system […]

Onsite Algorithm

The τc-Pd Onsite algorithm belongs to the group of single-sensor approaches to EEW (Kanamori, 2005). As a matter of principle, this type of warning approach is quicker in detecting and processing of earthquakes, but is expected to be less reliable compared to regional warning algorithms that are based on observations at multiple seismic sensors. The […]

Elarms

ElarmS takes the form of a suite of algorithms designed to (1) rapidly detect the initiation of an earthquake, (2) determine the size (magnitude) and location of the event, (3) predict the peak ground motion expected in the region around the event, and (4) issue a warning to people in locations that may expect significant […]

Publications

To navigate directly to the desired publication section, choose from the desired publication topics below:   ShakeAlert Allen, R. M., 2007: The ElarmS earthquake warning methodology and application across California. In: Gasparini P, Zschau J (eds.), Seismic Early Warning. New York: Springer, pp. 21–44. Allen, R. M., H. Brown, M. Hellweg, O. Khainovski, P. Lombard, […]

People

Domniki AsimakiProfessor of Civil and Environmental EngineeringCalifornia Institute of Technologydomniki@caltech.edu James L. Beck George W. Housner Professor of Engineering and Applied ScienceCalifornia Institute of Technologyjimbeck@caltech.eduWebsite Rayomand (Rayo) BhadhaScientific Support, Seismological LaboratoryCalifornia Institute of Technologyrayo@gps.caltech.edu Michael BlackTechnical Support, Seismological LaboratoryCalifornia Institute of Technologymlb@gps.caltech.edu Julian J. BunnPrincipal Computational ScientistCalifornia Institute of Technology, CACRjulian.bunn@caltech.edu K. Mani ChandySimon Ramo Professor […]

Infrastructure

Earthquake Early Warning relies on rapid detection and transmission of ground motions from an on-going earthquake. Current EEW systems use ground motions measured by seismometers installed across California. These seismic stations are part of the California Integrated Seismic Network (CISN), a collaborative organization of state and federal government agencies as well as universities. Additional information is […]

EEWDisplay

To assist users of ShakeAlert®, we have developed EEWDisplay (formerly named UserDisplay) a demonstration software, which visualizes alert information from ShakeAlert (Böse et al., 2012). The EEWDisplay runs on a user’s computer, receives XML messages from ShakeAlert and displays their content in a simple and easily understandable way. The application is written in Java and […]

Prior

Current “Prior” research aims to make Earthquake Early Warning faster and more accurate. A new algorithm has been developed that uses Bayesian probabilistic inference to provide optimally fast estimates of earthquake location; in many cases, the earthquake location is available as soon as the first P-wave arrival at the station located closest to the epicenter. […]

τc-Pd OnSite

NOTE: the OnSite algorithm has been deprecated in ShakeAlert V2.0 The τc-Pd Onsite algorithm is one of the methods included in the current ShakeAlert prototype system. More information on the basics of the method can be found Here. Performance Running an algorithm continuously in real-time provides a wealth of new challenges and observations compared with […]