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Seismic Computational Platform for Empowering Discovery (Scoped): Software, Containers, Workshops, Science

Description: 

Seismology is a data and model-intensive field. Data-driven computations benefit from Cloud Computing because observational seismology relies on horizontal scalability. Model-driven computation benefits from High-Performance Computing because simulations necessitate large memory and a high number of workers for efficient parallelization. In its fourth year, our project SCOPED (Seismic COmputational Platform for Empowering Discovery) has sought to bridge both observational and theoretical fields by building a CyberInfrastructure (software, data) as a service to the seismic community. The primary project components are: 1) advancing science with SCOPED-participating software codes, 2) containerizing SCOPED software, 3) training users of SCOPED codes, and 4) beginning to establish the SCOPED platform. Training highlights include hosting a hybrid workshop at the University of Washington in May 2024, involving 50 in-person and 50 remote participants working on local software, Cloud-based setups (like JupyterLab), and HPC environments (TACC Frontera). Science applications with SCOPED, demonstrating the power of integrating its components, are underway, including: ambient noise imaging and monitoring, machine-learning aided earthquake catalog computation and interpretation workflows, global-scale anisotropic tomography, and sedimentary basin ground motion amplification from local earthquakes. Community members are encouraged to participate in, contribute to, and advance SCOPED.

Session: Earth’s Structure from the Crust to the Core [Poster]

Type: Poster

Date: 4/16/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Carl

Student Presenter: No

Invited Presentation: 

Poster Number: 108

Authors