Paul Stanton Earle
I direct the 24/7 Operations at the U.S. Geological Survey's National Earthquake Information Center (NEIC).
My primary responsibility is oversight of 24/7 earthquake monitoring. I guide the development and implementation of new policies and procedures used during earthquake response and catalog production. I also serve in the rotating role of NEIC event coordinator, overseeing the production of near-real-time products following earthquake disasters around the globe. NEIC earthquake response and my role are sumarized in The 24/7 Search for Killer Quakes.
Before joining the USGS in 2000, I graduated from the University of California, Berkeley, with a B.A. in geophysics and received a Ph.D. in geophysics from the Scripps Institution of Oceanography at the University of California, San Diego. After receiving my Ph.D., I worked as a National Science Foundation postdoctoral fellow at the University of California, Los Angeles. My research includes studies of the fine-scale structure of the deep Earth, characterization of Earth's seismic signals, and post-earthquake impact assessment. In my free time, I like to skateboard long distances.
Publicaions
Science and Products
Future Opportunities in Regional and Global Seismic Network Monitoring and Science
The past decade has seen improvements in computational efficiency, seismic data coverage, and communication technology - driven by societal expectation for timely, accurate information. While aspects of earthquake research have taken advantage of this evolution, the adoption of improvements in earthquake monitoring has not been fully leveraged. In real-time monitoring, earthquakes are characterize
Crowd-Sourced Earthquake Detections Integrated into Seismic Processing
The goal of this project is to improve the USGS National Earthquake Information Center’s (NEIC) earthquake detection capabilities through direct integration of crowd-sourced earthquake detections with traditional, instrument-based seismic processing. During the past 6 years, the NEIC has run a crowd-sourced system, called Tweet Earthquake Dispatch (TED), which rapidly detects earthquakes worldwide
Operational Earthquake Forecasting – Implementing a Real-Time System for California
It is well know that every earthquake can spawn others (e.g., as aftershocks), and that such triggered events can be large and damaging, as recently demonstrated by L’Aquila, Italy and Christchurch, New Zealand earthquakes. In spite of being an explicit USGS strategic-action priority (http://pubs.usgs.gov/of/2012/1088; page 32), the USGS currently lacks an automated system with which to forecast s
Characterization of Earthquake Damage and Effects Using Social Media Data
People in the locality of earthquakes are publishing anecdotal information about the shaking within seconds of their occurrences via social network technologies, such as Twitter. In contrast, depending on the size and location of the earthquake, scientific alerts can take between two to twenty minutes to publish. The goals of this project are to assess earthquake damage and effects information, as
Understanding Fluid Injection Induced Seismicity
Fluid injection induced seismicity has been reported since the 1960s. There are currently more than 150,000 injection wells associated with oil and gas production in 34 states in the conterminous US. Pore pressure disturbance caused by injection is generally considered the culprit for injection induced seismicity, but, not all injection causes seismicity. It is not well understood what mechanical
Science and Products
Future Opportunities in Regional and Global Seismic Network Monitoring and Science
The past decade has seen improvements in computational efficiency, seismic data coverage, and communication technology - driven by societal expectation for timely, accurate information. While aspects of earthquake research have taken advantage of this evolution, the adoption of improvements in earthquake monitoring has not been fully leveraged. In real-time monitoring, earthquakes are characterize
Crowd-Sourced Earthquake Detections Integrated into Seismic Processing
The goal of this project is to improve the USGS National Earthquake Information Center’s (NEIC) earthquake detection capabilities through direct integration of crowd-sourced earthquake detections with traditional, instrument-based seismic processing. During the past 6 years, the NEIC has run a crowd-sourced system, called Tweet Earthquake Dispatch (TED), which rapidly detects earthquakes worldwide
Operational Earthquake Forecasting – Implementing a Real-Time System for California
It is well know that every earthquake can spawn others (e.g., as aftershocks), and that such triggered events can be large and damaging, as recently demonstrated by L’Aquila, Italy and Christchurch, New Zealand earthquakes. In spite of being an explicit USGS strategic-action priority (http://pubs.usgs.gov/of/2012/1088; page 32), the USGS currently lacks an automated system with which to forecast s
Characterization of Earthquake Damage and Effects Using Social Media Data
People in the locality of earthquakes are publishing anecdotal information about the shaking within seconds of their occurrences via social network technologies, such as Twitter. In contrast, depending on the size and location of the earthquake, scientific alerts can take between two to twenty minutes to publish. The goals of this project are to assess earthquake damage and effects information, as
Understanding Fluid Injection Induced Seismicity
Fluid injection induced seismicity has been reported since the 1960s. There are currently more than 150,000 injection wells associated with oil and gas production in 34 states in the conterminous US. Pore pressure disturbance caused by injection is generally considered the culprit for injection induced seismicity, but, not all injection causes seismicity. It is not well understood what mechanical