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Making the Cloud Accessible for Geophysical Research: EarthScope’s Path for Cloud Adoption and Workflow Migration

Description: 

The EarthScope Consortium manages NSF's SAGE and GAGE facilities and makes all of its geophysical data available through a commercial cloud system. This enables EarthScope and the communities it supports to leverage the abundant computational resources and cost-effective benefits of adopting data-proximate workflows with direct access to large, analysis-ready geophysical data sets. As part of a broad effort to support communities with intuitive resources to quickly migrate their workflows to the cloud, EarthScope has partnered with the International Interactive Computing Collaboration (2i2c, https://2i2c.org/) to launch GeoLab, a scalable JupyterHub environment in AWS. This platform will provide equitable access to cloud compute resources for researchers, educators, and the general public. GeoLab is data-proximal and integrated with the rapidly expanding capabilities of EarthScope’s Application Programming Interfaces (APIs) and python Software Development Kit (SDK). In the coming year, we anticipate fully integrating the API and SDK with our authentication system, which will enable direct access to our cloud object storage – a crucial feature to migrate analysis workflows away from the typical download-intensive model and towards a data-proximate model that allows for high-throughput analysis to be done at a massive scale.

In the last year, GeoLab has been an instrumental tool for EarthScope to host data analysis workshops. This has streamlined the educational experience for users by eliminating installation and environmental configuration steps that commonly complicate the start of courses. GeoLab provides students and researchers with equitable access to advanced training in modern cloud-computing practices and open-source domain-specific software, regardless of their location or available computing resources. We continue to expand access to these resources, and invite all members of the geophysics community to follow our progress.

Session: Data-driven and Computational Characterization of Non-earthquake Seismoacoustic Sources [Poster]

Type: Poster

Date: 4/16/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Sarah

Student Presenter: No

Invited Presentation: 

Poster Number: 85

Authors