Assorted innovations in earthquake early warning and rapid response Sarah Minson

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)

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

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

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

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

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

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

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

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

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

Thank you for listening!