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Home > TERATEC FORUM > Workshops
HPC and AI serving the Climate: Challenges and Opportunities
The L1CPOP (L1C Product Operational Processor), the Level 1 data processing chain for the IASI-NG - IASI New Generation - mission, whose aim is to measure atmospheric profiles of temperature, humidity and various atmospheric components, is a concentrate of innovation. The new generation of the IASI mission is aptly named, featuring a totally innovative instrument that has necessitated a complete rethink of virtually all the first-generation IASI algorithms in order to meet much more stringent mission performance requirements. Integration into the EUMETSAT ground segment represents a major technical challenge, as EUMETSAT has chosen an ambitious Big Data solution proposed by Thales Alenia Space to run all the processing chains for all the instruments on the EPS-SG mission. This solution involved very tight constraints on the design, development and validation of L1CPOP. All data flows are managed exclusively in memory, and algorithms are activated by the availability of input data (data-driven) and parallelized over several dozen compute nodes. Optimizing these algorithms enables real-time production, since the L1C products generated are eagerly awaited by meteorological agencies, which assimilate them into their forecasting models. The presentation will briefly recall CNES's mission and cooperation with EUMETSAT, then focus on the architecture and operation of L1CPOP.
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