Portal de Periódicos da CAPES

A High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites

2015; Multidisciplinary Digital Publishing Institute; Volume: 7; Issue: 8 Linguagem: Inglês

10.3390/rs70810385

2072-4292

Satya Kalluri, J. Gundy, Brian J. Haman, Anthony Paullin, P. Van Rompay, D. Vititoe, Allan Weiner,

Advanced Computational Techniques and Applications

The Geostationary Operational Environmental Satellite (GOES) series R, S, T, U (GOES-R) will collect remote sensing data at several orders of magnitude compared to legacy missions, 24 × 7, over its 20-year operational lifecycle. A suite of 34 Earth and space weather products must be produced at low latency for timely delivery to forecasters. A ground system (GS) has been developed to meet these challenging requirements, using High Performance Computing (HPC) within a Service Oriented Architecture (SOA). This approach provides a robust, flexible architecture to support the operational GS as it generates remote sensing products by ingesting and combining data from multiple sources. Test results show that the system meets the key latency and availability requirements for all products.