GOES-R AWG product processing system framework

S. Sampson; Walter Wolf; A. Li; T. Yu; R. Garcia; G. Martin; X. Liu; W. Straka; M. Fan; E. Schiffer; M. Goldberg

doi:10.1117/12.977556

9 November 2012 GOES-R AWG product processing system framework

S. Sampson, Walter Wolf, A. Li, T. Yu, R. Garcia, G. Martin, X. Liu, W. Straka, M. Fan, E. Schiffer, M. Goldberg

Proceedings Volume 8528, Earth Observing Missions and Sensors: Development, Implementation, and Characterization II; 85281N (2012) https://doi.org/10.1117/12.977556
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

NOAA/NESDIS/STAR has designed, developed, and implemented the Geostationary Operational Environmental Satellite – R Series (GOES-R) Algorithm Working Group (AWG) Product Processing System Framework. The Framework enabled the development and testing of the Level 2 Advance Baseline Imager (ABI) and the GOES-R Lightning Mapper (GLM) products within a single system. Fifty-six GOES-R ABI algorithms and one GLM algorithm have been integrated and run within the framework with product precedence. The Framework has been modified to be a plug-and-play system with the scientific algorithms. To enable the plug-and-play capabilities, the fifty-seven ABI and GLM algorithms were adjusted such that any data required by the algorithm is brought into the algorithm through function calls. These modifications allowed an algorithm to be developed either within the Framework or within the scientist’s offline research system. This approach provided both the algorithm developers and algorithm integrators the ability to work on the same software since the algorithm may be “dropped” into both systems resulting in simple algorithm rollbacks. The design features and the current status of the framework will be discussed.

Citation Download Citation

S. Sampson, Walter Wolf, A. Li, T. Yu, R. Garcia, G. Martin, X. Liu, W. Straka, M. Fan, E. Schiffer, and M. Goldberg "GOES-R AWG product processing system framework", Proc. SPIE 8528, Earth Observing Missions and Sensors: Development, Implementation, and Characterization II, 85281N (9 November 2012); https://doi.org/10.1117/12.977556

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KEYWORDS

Algorithm development

Clouds

Data modeling

Atmospheric modeling

Aerosols

Detection and tracking algorithms

Imaging systems

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