QuakeStory 789
Articles, UC QuakeStudies
A story submitted by Alice to the QuakeStories website.
A story submitted by Alice to the QuakeStories website.
A story submitted by johnson hoeta to the QuakeStories website.
A story submitted by Eric Cummins to the QuakeStories website.
A story submitted by Andy R to the QuakeStories website.
A story submitted by Anonymous to the QuakeStories website.
A story submitted by Ailsa to the QuakeStories website.
Overview of SeisFinder SeisFinder is an open-source web service developed by QuakeCoRE and the University of Canterbury, focused on enabling the extraction of output data from computationally intensive earthquake resilience calculations. Currently, SeisFinder allows users to select historical or future events and retrieve ground motion simulation outputs for requested geographical locations. This data can be used as input for other resilience calculations, such as dynamic response history analysis. SeisFinder was developed using Django, a high-level python web framework, and uses a postgreSQL database. Because our large-scale computationally-intensive numerical ground motion simulations produce big data, the actual data is stored in file systems, while the metadata is stored in the database. The basic SeisFinder architecture is shown in Figure 1.