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10 November 2003 Post-launch lessons learned from the AIRS science data processing system
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Abstract
The AIRS Science Data Processing System, responsible for processing data from the 4-instrument AIRS suite, includes 14 separate executable programs and produces dozens of products. These executable programs and products conform to ECS standards for processing and archival at Goddard Earth Sciences DAAC. These standards include format and metadata constraints, and the PGE paradigm. Before launch the AIRS team defined and implemented all PGEs, created simulated test data, verified PGE performance with simulated and ground test data, and verified PGE integration within the GES DAAC processing and archiving systems. To support validation and continued software development, Jet Propulsion Laboratory (JPL) developed a limited shadow production system, and received all instrument data after launch. This in-house system was not designed to process and serve all data, but rather to run experimental versions of our software and to run additional non-deliverable programs in support of validation. These pre-flight preparations paid off, and the first year after launch has been very active for the AIRS science data processing group. Still, lessons can be learned from our experiences during our first year of data processing and post-launch software development. These experiences and observations may be useful to science seams developing future Earth observing instruments.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evan M. Manning, Steven Z. Friedman, and Albert Y. Chang "Post-launch lessons learned from the AIRS science data processing system", Proc. SPIE 5151, Earth Observing Systems VIII, (10 November 2003); https://doi.org/10.1117/12.504057
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