SCEC Award Number 11133 View PDF
Proposal Category Workshop Proposal
Proposal Title Source Inversion Validation (SIV) Workshop
Name Organization
Paul Martin Mai King Abdullah University of Science and Technology (Saudi Arabia) Danijel Schorlemmer University of Southern California Morgan Page United States Geological Survey
Other Participants
SCEC Priorities A4, B1, B4 SCEC Groups Seismology, SIV, FARM
Report Due Date 02/29/2012 Date Report Submitted N/A
Project Abstract
In 2011, the Source Inversion Validation (SIV) group conducted its annual workshop in conjunction with the 2011 Annual SCEC meeting in Palm Springs. This was the 6th workshop in a series of meetings, following an inaugural SIV-workshop at the 2008 SCEC Annual Meeting. In these workshops, we gather scientists working on earthquake source inversion to discuss methods and approaches to source inversion, new findings for recent (or not so recent) earthquakes, but in particular to share the latest results related to the SIV exercises.
The SIV-project is making continuous progress, but would profit from more participants that carry out the actual SIV benchmarks. We thus will try to 'advertise' the SIV more widely. Several additional benchmark exercises are planned for 2012, and we plan on a 2012 SIV-workshop during the 2012 Annual SCEC meeting.
Intellectual Merit Earthquake source inversion is the key to better understand earthquake sources processes, and to build models for characterizing earthquake properties for ground-motion simulation. Yet, the accuracy of current source imaging approaches that estimate the space-time evolution of earthquakes is not well understood. The SIV (Source Inversion Validation) project aims at testing, benchmarking and improving current (and future) source-inversion methods and to rigorously quantify the related uncertainties.
Broader Impacts The SIV project has gained quite some interest in the applied mathematics community that works on Uncertainty Quantification. Our approach was presented at three UQ-workshops in the past year (as invited talks), and we hope that closer cooperation with mathematicians and statisticians will help us to significantly advance the SIV-project.
Exemplary Figure Figure 2a: Overlay plots of three “best” solutions (blue, green, red) to the crack-like dynamic rupture model (cyan) for which synthetics were computed and distributed. Details at