Data-Proximate Cloud Computing for Improving Subduction Zone Geometries

Session: Science Gateways and Computational Tools for Improving Earthquake Research [Poster]
Type: Poster
Date: 4/30/2020
Time: 08:00 AM
Room: Ballroom
Description: 

Three-dimensional (3D) knowledge of subduction zone geometries is important for not only understanding earthquake hazards, but also for interpreting the tectonic framework where large earthquakes occur. However, our perception of slab geometries is incomplete and ever changing due to increases in the amount of available geophysical data coupled with improved methods for hypocenter relocation and in seismic modeling and imaging techniques. Thus, there is a need to harness technological advances and create an infrastructure that allows for quick collaboration and dissemination of data products that contribute to hazard assessment. Here, we present a workflow and current status of a data-proximate Cloud computing environment for improving 3D subduction zone geometries. This science gateway builds upon the USGS Slab2 subduction zone geometry model by moving the Slab2 code and database onto the Amazon Web Services cloud platform and into a user-friendly web application. Users will have options to create 3D slab models using a shared and up-to-date seismic database, create models by incorporating their own seismic data and visualize and compare slab models. With Slab2 being utilized in USGS hazard models and ShakeMap, the cloud based Slab2 platform will help integrate the latest 3D subduction zone models into those and related products, resulting in a more complete understanding of subduction related hazards.

Presenting Author: Kirstie L. Haynie

Authors