1. Assorted innovations in earthquake early warning and rapid response
Sarah Minson

2. Why Assorted? What we did What we’re doing
Real-time inversion for finite fault slip models and rupture geometry based on high-rate GPS data
Jessica Murray, John Langbein, Joan Gomberg
Go see the poster!
What we’re doing
Crowd-sourced geodesy for earthquake hazard and process studies
USGS Innovation Center for Earth Sciences (ICES)
Benjamin Brooks, Jessica Murray, Carol Prentice (USGS), Bob Iannucci (CMU-SV)
GPU implementation of real-time finite fault inversion
ICES
Jessica Murray (USGS), Ole Mengshoel (CMU-SV)
Performance testing real-time finite fault inversions in Cascadia
David Schmidt (UW)

3. Real-time inversion for finite fault slip models and rupture geometry based on high-rate GPS data Sarah E. Minson, Jessica R. Murray, John O. Langbein, Joan S. Gomberg USGS Earthquake Science Center
Special Thanks to:
Brad Aagaard, Yehuda Bock, Brendan Crowell, Asaf Inbal, Hiroo Kanamori, and Sue Owen

4. Earthquake Early Warning (EEW)
Use data from near an earthquake rupture to warn population centers at a distance that shaking is imminent
Information can be transmitted at the speed of light but strongest shaking is carried by waves traveling ~3.5 km/s
Warnings can be used not only to alert people but to prepare infrastructure
Slow BART trains
Open fire station doors
Bring elevators to nearest floor

5. Earthquake studies
In real-time, determine basic information (location, magnitude)
Later, determine spatial distribution of slip
Involves 100s or 1,000s of free parameters in a highly under-determined and non-linear inverse problem
Really we want to do the full slip model in real-time
In real-time, missing basic information such as which fault is rupturing

6. Solution
Solve for slip AND fault geometry using semi-analytical solution

7. Crowd-sourced geodesy for earthquake hazard and process studies Benjamin Brooks1, Jessica Murray1, Sarah Minson1 Carol Prentice1, Bob Iannucci2 1USGS Earthquake Science Center 2Carnegie Mellon University - Silicon Valley
ICES

8. Introduction
Real-time high-rate scientific-quality GPS data is proving to be very valuable for EEW and rapid response
Very limited global distribution
Low quality GPS receivers are globally ubiquitous
Smartphones
GPS navigation in cars
Can supplement with low-cost community instruments (LCCIs)
Quake Catcher Network

9. Challenges Huge errors associated with pseudorange-based GPS locations
Even huger errors associated with attaching GPS to humans
Communications issues
Data volume could be enormous

10. Caveat This is an altruistic EEW system
Normally we use instruments near the source to warn humans at a distance
Here we use instruments attached to humans near the source to warn humans at a distance

11. To-Do Earthquake location and Mw Data resampling Focal mechanism
Slip modeling
Detection?
Quality control?
Fit displacement amplitudes
e.g., Scripps group
Easting
Northing
Reuse real-time finite fault inversion

12. Thank you for listening!