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Gordon and Betty Moore Foundation Awards $6 million for Research Leading to West Coast Earthquake Early Warning System

Gordon and Betty Moore Foundation Awards million for Research Leading to West Coast Earthquake Early Warning System

Additional Contacts:  Deborah Williams-Hedges, Caltech, 626-395-3227, and Vince Stricherz, UW, 206-543-2580,

PALO ALTO, Calif. —The Gordon and Betty Moore Foundation has awarded million to three West Coast universities to create a prototype earthquake early warning system for the Pacific Coast of the United States.

The grant will allow seismologists at the University of California, Berkeley, California Institute of Technology (Caltech), and University of Washington, Seattle, in collaboration with the U.S. Geological Survey, to learn about the science of earthquakes and the best way to capture and analyze seismic data in order to give schools, utilities, industries and the general public as much time as possible—most likely seconds to several minutes—before the ground begins to shake.

“The Gordon and Betty Moore Foundation is funding this basic, fundamental science to yield an earthquake early warning prototype that we hope will pave the way for a fully functioning system in the Western U.S.,” said Cyndi Atherton, program director for science programs at the foundation.  “A warning system has the potential to save thousands of lives and millions of dollars in the event of an earthquake, and we feel it is important to resolve any scientific questions that could stand in the way of implementing such a system.”

Each university will receive million over three years.

“The technology and scientific expertise exist to create a sophisticated West Coast earthquake early warning system even more advanced than Japan’s now four-year-old system, which functioned well after the magnitude 9.0 Tohoku quake earlier this year,” said Richard Allen, director of the Berkeley Seismological Laboratory and a UC Berkeley professor of earth and planetary science. “We are gratified that the Foundation is supporting research that will help us bridge the gap between the current nascent test EEW system in California and a full West Coast ShakeAlert prototype.”

“The USGS has the federal responsibility to issue alerts for earthquakes, volcanoes, and landslides to enhance public safety and to reduce losses through effective forecasts and warnings. We look forward to integrating the expected results of the research funded by the Gordon and Betty Moore Foundation into our real-time earthquake monitoring systems,” said Doug Given, USGS seismologist, and EEW coordinator.

ShakeAlert, the current version of an early warning system now being tested by Caltech and UC Berkeley in collaboration with the Southern California Earthquake Center, ETH Zurich and the USGS, opens a pop-up alert on a recipient’s computer in the event of a major earthquake, listing quake location and magnitude and the estimated time before shaking should be felt. While people living near the epicenter of a quake will not have much warning, those farther from a large quake could have seconds or tens of seconds of notice before the ground shakes.

The universities will seek partners in industry to provide extra funding, test the prototype, and provide critical feedback about how they want to receive warning. and Deutsche Telekom’s Silicon Valley Innovation Center have already partnered with the Berkeley Seismological Laboratory to financially support development of the prototype.

The grants from the Gordon and Betty Moore Foundation will help each university tailor its EEW system to the local fault system, addressing issues of rapid detection and prediction of shaking, and delivery of a warning to those in harm’s way.

“Our immediate goal in the Pacific Northwest is analysis of hundreds of GPS stations along with the existing seismometers to provide minutes of warning in the case of great coastal earthquakes,” said John Vidale, director of the Pacific Northwest Seismic Network and professor of earth and space sciences at the University of Washington, Seattle. “At first, the warnings will alert only a group of sophisticated industry and government partners while we iron out the wrinkles and build a case for a full-blown public system, as Japan already has.”

 A comprehensive earthquake early warning system along the West Coast would cost approximately 0 million over five years. The California Integrated Seismic Network earlier this year estimated that a California system would cost about million over 5 years, while a Pacific Northwest system would cost approximately million. CISN is a partnership of universities, USGS, and the state of California, that monitors earthquakes throughout the state.

UC Berkeley will use some of its grant money to speed up processing of data from its network of GPS monitors, enabling real-time processing needed for rapid warnings. Caltech seismologists and engineers will work together to improve estimates of shaking as a function of distance from an earthquake’s epicenter, and extend these estimates to how buildings will respond.

All three universities will utilize their regional seismic networks to improve accurate assessment of earthquakes as they occur, especially large earthquakes. Current EEW systems, for example, act as if quakes rupture at only one point, when in fact, in larger earthquakes, fault ruptures can extend over hundreds of kilometers.

“The Foundation’s grant is a huge contribution to moving forward the science of earthquake early warning systems,” said Thomas Heaton, director of the Earthquake Engineering Research Laboratory and professor of geophysics and of civil engineering at the California Institute of Technology.


The Gordon and Betty Moore Foundation, established in 2000, seeks to advance environmental conservation and scientific research around the world and improve the quality of life in the San Francisco Bay Area. The Foundation’s Science Program aims to make a significant impact on the development of provocative, transformative scientific research, and increase knowledge in emerging fields.

USGS Newsroom

More information

Parameter Value Description
Magnitude mb The magnitude for the event.
Longitude ° East Decimal degrees longitude. Negative values for western longitudes.
Latitude ° North Decimal degrees latitude. Negative values for southern latitudes.
Depth km Depth of the event in kilometers.
Place Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name.
Time 1970-01-01 00:00:00 Time when the event occurred. UTC/GMT
Updated 1970-01-01 00:00:00 Time when the event was most recently updated. UTC/GMT
Timezone offset Timezone offset from UTC in minutes at the event epicenter.
Felt The total number of felt reports
CDI The maximum reported intensity for the event.
MMI The maximum estimated instrumental intensity for the event.
Alert Level The alert level from the PAGER earthquake impact scale. Green, Yellow, Orange or Red.
Review Status Indicates whether the event has been reviewed by a human.
Tsunami This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist.
SIG A number describing how significant the event is. Larger numbers indicate a more significant event.
Network The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event.
Sources A comma-separated list of network contributors.
Number of Stations Used The total number of Number of seismic stations which reported P- and S-arrival times for this earthquake.
Horizontal Distance Horizontal distance from the epicenter to the nearest station (in degrees).
Root Mean Square sec The root-mean-square (RMS) travel time residual, in sec, using all weights.
Azimuthal Gap The largest azimuthal gap between azimuthally adjacent stations (in degrees).
Magnitude Type The method or algorithm used to calculate the preferred magnitude for the event.
Event Type Type of seismic event.
Event ID Id of event.
Event Code An identifying code assigned by, and unique from, the corresponding source for the event.
Event IDS A comma-separated list of event ids that are associated to an event.

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