The GEO Cloud-based Product Generation Approach and its Prototype Results

The GEO Ground System (GS) has successfully supported the Geosynchronous Operational Environmental Satellites (GOES)-R series mission through the launch and operation plan of four GOES satellites and the first Space Weather Follow-On (SWFO) instrument, the Compact Coronagraph (CCOR), on GOES-19. The GEO GS was also upgraded to support operations of the Space Weather Follow-On Lagrange 1 (SWFO-L1) satellite scheduled for launch in 2025.

The GEO Ground Project has established a strategic approach to evolving the existing GEO Ground System to prepare for the future, including opportunities for infrastructure and data processing optimization, and alignment with NESDIS (National Environment Satellite, Data, and Information Systems) Enterprise initiatives. A notable portion of this plan is in the adoption of cloud technologies to enable a GEO Ground System that produces hundreds of thousands of GEO observation product files each day.

To explore and execute on a GEO cloud strategy, the Ground project completed a substantial prototype of the migration of L2+ observational data production to cloud-based technologies. This prototype exercises GEO product algorithms, baselined in the operational GEO Ground System, deployed and executing in an AWS-based solution.

This presentation will address GEO Product Generation, from the perspective of the challenges that come with the problem-space. It will also convey how these challenges have been met with a successful GEO L2+ Product Generation Service prototype, and demonstrate the technology approach and its outcomes. A summary of target performance measures (targets and results) along with demonstration artifacts will reveal the successful outcomes of a working prototype.