= SCEC workshop: Earthquake Source Inversion – Planning of a Validation Exercise =
== Sunday, Sept. 7, 2008; 8:00 – 12:00 ==
'''''Organized by Martin Mai, Morgan Page, and Danijel Schorlemmer'''''

8:00 – 8:10     Martin Mai:             Introduction: Scope of the workshop & review of an initial blind-test ( [[attachment:SIV_Intro2008_Mai.pdf |SIV_Intro2008_Mai.pdf |&do=get]])

8:10 – 8:25     Morgan Page:            Strategies for uncertainty assessment in source inversions ([[attachment:PageSCEC2008.pdf|PageSCEC2008.pdf|&do=get]])

8:25 – 8:40     Yuji Yagi:              Importance of covariance components for finite-source inversions

8:40 – 8:55     Kazuki Koketsu:         Current status of source inversion methods in Japan

8:55 – 9:10     Raul Madariaga:         Inverting for dynamic source parameters

9:10 – 9:25     Ruth Harris:            Experience from the Dynamic Code Validation Project

9:25 – 9:40     Danijel Schorlemmer:    An existing testing center: CSEP ( [[attachment:Schorlemmer2008.pdf | Schorlemmer2008.pdf|&do=get]] )

9:40 – 10:00    ''Coffee break''

'''10:00 – 12:00        OPEN DISCUSSION – PLANNING THE SOURCE-INVERSION VALIDATION EXERCISE'''

10:00 – 10:40   DISCUSSION I : Science issues / General questions

 * source inversion: an under-determined problem
 * how to best quantify waveform fits ?
 * how to optimally weight different data sets used in the inversion ?
 * effects of source-receiver constellation ?
 * effects of different stabilizing/smoothing constraints?

10:40 – 11:20   DISCUSSION 2: General set-up of the exercise

 * Greens functions: pre-computed or velocity-density models specified ?
 * Greens functions: Simple media or realistic structures ?
 * source geometry: how much information should be provided ?
 * what "data" (synthetics) are desired? Statics, strong-motion, teleseismics?
 * "clean" synthetics or noise-contaminated ?
 * how to compare inversion results; what are relevant statistical measures ?
 * a fully prospective inversion ?

11:20 – 12:00   DISCUSSION 3: Logistics, Resource, Management

 * overall strategy and rough time-frame
 * formats for submission of models/synthetics ?
 * Authorization of data streams ?
 * needed computational/infrastructure resources ?
 * proposal for future funding for these efforts ?