Enterprise Plan for Algorithm Development and Integration to Operations

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Wednesday, 7 January 2015: 1:45 PM
230 (Phoenix Convention Center - West and North Buildings)
Walter Wolf, NOAA/NESDIS/STAR, College Park, MD; and J. Daniels, S. Sampson, L. Zhou, T. King, and B. Das

NOAA/NESDIS/STAR develops, implements, and transitions scientific algorithms to NOAA operations. The prime NESDIS customer, the National Weather Service, has requested continuity of NOAA products between current and future NOAA operational satellites as part of the NWS Office of Science and Technology's strategy of multi-sensor algorithms and products. To meet this goal, STAR has taken the initiative to migrate the current individual satellite algorithms to “common” algorithms, where products like the cloud mask will be produced from one scientific software base. This common algorithm implementation has leveraged the STAR product processing framework developed for GOES-R as the processing base. The processing framework was designed for easier integration of scientific algorithms by enabling the algorithm to be developed and/or tested in both the framework and the scientist's offline research system with little modification or addition to either system. Since the framework is an all-in-one system, it allows algorithms access to a variety of data sets with minimal effort once they have been integrated into the system. STAR's enterprise algorithm plan, the product processing framework, and examples of current algorithm migration work for cloud products and derived motion winds shall be discussed.