[unav_all] S018: Earthquake rupture revealed by kinematic source imaging
w3fan at ucsd.edu
Tue Jul 11 22:45:04 MDT 2017
We would like to draw your attention to the following session at the 2017 AGU meeting. Abstract deadline is August 2, 2017.
Martin Mai, King Abdullah University of Science and Technology
Harsha Bhat, École Normale Supérieure
S018: Earthquake rupture revealed by kinematic source imaging
Session ID#: 24872
Large earthquakes exhibit great complexities. These earthquakes can involve multiple fault segments or multiple faults, and trigger large nearby aftershocks instantaneously. The complexity of large earthquakes stimulates developments of novel methods to map rupture evolution with multiple geophysical data sets. Combinations of datasets, such as seismic, geodetic and tsunami observations, have greatly improved the resolution of kinematic earthquake models and our understanding of earthquake rupture processes, but physics-based statistical approaches are needed to efficiently combine disparate data sets. Besides explaining multiple geophysical observations, quantifying source model uncertainties is equally important to identify robust features of the inferred rupture processes. We invite contributions related to kinematic source imaging, improved uncertainty quantification, and the combination of multiple datasets. In particular, we solicit studies that provide unified interpretations of observed earthquake kinematics with dynamic rupture simulations, post- and inter-seismic processes, tectonic setting, and laboratory experiments to reconcile observations over multiple scales.
Wenyuan Fan, Scripps Institution of Oceanography, La Jolla, CA, United States
Junle Jiang, Scripps Institution of Oceanography, La Jolla, CA, United States
Zacharie Duputel, CNRS, Paris Cedex 16, France
Yuji Yagi, University of Tsukuba, Tsukuba, Japan
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