339 ASSISTT R2O Tool: STAR Algorithm Processing Framework

Monday, 11 January 2016
Zhuo Zhang, IMSG, College Park, MD; and M. Walters, R. Rollins, S. Sampson, W. Wolf, and A. Li

The STAR Algorithm Processing Framework (SAPF) developed at NOAA/NESDIS/STAR is currently being used in transitioning algorithms to operations. The framework was designed and implemented as a plug-and-play type system for 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. Many of the algorithms require external data from GFS model forecasts, SST analysis, and static data such as elevation and land surface type. A number of enterprise algorithms at STAR are taking advantage of these benefits and are being transitioned to operations. The Enterprise Winds algorithm has been successfully updated and transitioned to operations running on existing GOES and VIIRS data. AHI Winds, AVHRR Winds, MODIS Winds and other algorithms that will be upgraded and delivered to operations using VIIRS include the Enterprise Clouds, Aerosols, and Cryosphere products. To make operational algorithms testing and verification more efficient and accurate, ASSISTT is currently developing and testing approaches to remove the edge effects that are found in algorithm results caused by segmented processing of the framework. The design details of the framework, transitioning of the framework to operations, and future algorithm implementation plans shall be discussed.
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