A Lookahead to GOES-R Algorithm Updates in 2024

The GOES-R Product Readiness and Operations (PRO) and PRO Product & Algorithm Science Support (PRO PASS) teams are responsible for ensuring GOES-R products meet requirements, supporting Post Launch Testing (PLT) for new GOES series satellites, and promoting algorithm and look up table updates and software patches to operations. Traditionally, the Ground System (GS) for the GOES-R satellite series has been based on an on-premise architecture, physically located at one primary site, one backup site, and a third site for higher level processing and product distribution.

In 2024, the PRO and PRO PASS teams will continue to produce software deliveries for operational GOES-East and West in the on-premise GS, but will also support the following tasks which will set the foundation for the future of GOES-R and GeoXO processing. This presentation will take an in depth look at the GOES-R product and GS updates for 2024.

The PRO team is supporting the task to move the ABI Level 2+ product generation (with cloud-native distribution capability folded in) to a cloud environment hosted in the NOAA/NESDIS Common Cloud Framework (NCCF). PRO has developed a mechanism for feedback on product format, structure, dimensions, metadata, correlation, and more to ensure an agile approach to handling issues in the data products produced by these cloud-native algorithm implementations. PRO has currently provided feedback on 23 products, and will review all ABI Level 2+ products as a future task.

The PRO and PRO PASS teams will support the GOES-U transition to operations for L1b and L2 products produced by the instruments on the GOES-U spacecraft.

The PRO PASS team will integrate the Geostationary Lightning Mapper Flash Extent Density (GLM FED) product into the on-premise PPZ. This will allow for the distribution of GLM FED product to all users. Currently it is only available through AWIPS to the National Weather Service.

The PRO PASS team will also support algorithm development in the NCCF and prepare the GOES-R GS for future L2 processing in the NCCF by creating tiled Advanced Baseline Imager (ABI) L1b data. This approach will allow future L2 processing in the NCCF to meet strict GOES-R latency requirements.