Revision 30 as of 2011-06-04 08:37:55

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Welcome

You have reached the WIKI of the Source-Inversion Validation (SIV) project, initiated and lead by Martin Mai (King Abdullah University of Science & Technology, KAUST), Danjiel Schorlemmer (USC Los Angeles / GFZ Potsdam) and Morgan Page (USGS Pasadena).

The SIV-project investigates the uncertainty in earthquake source inversion through a series of verification & validation experiments. Seismic data (often augmented with geodetic measurements) are used since the early 1980s for imaging kinematic properties of earthquake ruptures on geological faults. Although many techniques have been developed to solve this generally ill-posed inverse problem, the inherent uncertainties in the resulting earthquake source models are poorly understood. Incompletely known Earth structure, simplifications in assumed fault geometry, data processing steps, and parameterization of the inversion problem strongly affect the resulting source image. Yet, these different aspects are rarely treated comprehensively in any source-inversion study to fully capture the uncertainty of the kinematic rupture model.

The SIV-project gathers a large number of seismologists working in earthquake source inversion to perform a series of (code) verification and (inversion) validation experiments to better understand the uncertainty in past and current source-inversion approaches, and to develop strategies for rigorous uncertainty quantification for future earthquake source studies.

The menu-items below lead you to different subsections (see Menu section to the left):

Introduction

News -- check regularly for upcoming events

Exercises -- database of exercises/experiments

Workshops -- information on past and upcoming workshops

Discussion -- discussion forum on many source-inversion related topics ... and more

Downloads -- section to download exercise descriptions, data files, auxiliary material

Participants -- list of registered participants

Benchmark Database -- online benchmark (exercise) comparison tool