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| You have reached the WIKI of the Source-Inversion Validation ('''SIV''') project, initiated and lead by Martin Mai (KAUST), Danjiel Schorlemmer (USC Los Angeles / GFZ Potsdam) and Morgan Page (USGS Pasadena). | 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). |
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| 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 the 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 consistently and comprehensively in any source-inversion study to fully capture the uncertainty of the kinematic rupture model. | 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. |
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| The '''SIV'''-project thus gathers a large number of seismologists interested 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 '''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. |
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'''Contents''' |
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| :: [[Uploads]] |
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.
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