This study focuses on the understanding of the variability and sensitivity of synthetic earthquake ground motions at sedimentary basin scale associated with the epistemic uncertainties of the model of seismic wave propagation. The key question at stake is the following: What is the spatiotemporal variability and sensitivity of seismograms at the surface with respect to seismological parameters? To achieve this objective, we describe the whole concept including pre- and post-processing around the main earthquake simulation engine. The different stages can be viewed as follow: 1° definition of the initial model perturbation to generate a given set of input parameters, 2° simulation including a runtime filtering and a post-simulation filtering and decimation to reduce the amount of output data, 3° uncertainty quantification analysis on parallel file system including Hadoop evaluation, and multi-level MPI communicators to obtain the final results of the global big data application.


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