GOES-R, the next generation of the National Oceanic and Atmospheric Administration’s (NOAA) Geostationary Operational Environmental Satellite (GOES) System, represents a new technological era in operational geostationary environmental satellite systems. GOES-R will provide advanced products that describe the state of the atmosphere, land, oceans, and solar/ space environments over the western hemisphere. The Harris GOES-R Ground Segment team will provide the software, based on government-supplied algorithms, and engineering infrastructures designed to produce and distribute these next-generation data products. The Harris GOES-R Team has adopted an integrated applied science and engineering approach that combines rigorous system engineering methods, with modern software design elements to facilitate the transition of algorithms for Level 1 and 2+ products to operational software. The Harris Team GOES-R GS algorithm framework, which includes a common data model interface, provides general design principles and standardized methods for developing general algorithm services, interfacing to external data, generating intermediate and L1b and L2 products and implementing common algorithm features such as metadata generation and error handling.
This work presents the suite of GOES-R products, their properties and the process by which the related requirements are maintained during the complete design/development life-cycle. It also describes the algorithm architecture/engineering approach that will be used to deploy these algorithms, and provides a preliminary implementation road map for the development of the GOES-R GS software infrastructure, and a view into the integration of the framework and data model into the final design.
SPIE Proceedings: Remote Sensing System Engineering III
Digital Object Identifier (DOI)
John L. Baldwin; Bobby H. Braswell; David B. Hogan; Edward Kennelly; Xanthe Papadakis; Michael Sze; Alexander Werbos and T. Scott Zaccheo, "GOES-R algorithms: a common science and engineering design and development approach for delivering next generation environmental data products", Proc. SPIE 7813, Remote Sensing System Engineering III, 781306 (August 26, 2010) doi:10.1117/12.860855; http://dx.doi.org/10.1117/12.860855
© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering.