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Proceedings Paper

GOES-R AWG product processing system framework
Author(s): S. Sampson; Walter Wolf; A. Li; T. Yu; R. Garcia; G. Martin; X. Liu; W. Straka; M. Fan; E. Schiffer; M. Goldberg
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Paper 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.

Paper Details

Date Published: 9 November 2012
PDF: 6 pages
Proc. SPIE 8528, Earth Observing Missions and Sensors: Development, Implementation, and Characterization II, 85281N (9 November 2012); doi: 10.1117/12.977556
Show Author Affiliations
S. Sampson, Riverside Technology Inc. (United States)
Walter Wolf, National Oceanic and Atmospheric Administration (United States)
A. Li, Riverside Technology Inc. (United States)
T. Yu, Riverside Technology Inc. (United States)
R. Garcia, Cooperative Institute for Meteorogical Satellite Studies (United States)
G. Martin, Cooperative Institute for Meteorogical Satellite Studies (United States)
X. Liu, Riverside Technology Inc. (United States)
W. Straka, Cooperative Institute for Meteorogical Satellite Studies (United States)
M. Fan, Riverside Technology Inc. (United States)
E. Schiffer, Cooperative Institute for Meteorogical Satellite Studies (United States)
M. Goldberg, National Oceanic and Atmospheric Administration (United States)


Published in SPIE Proceedings Vol. 8528:
Earth Observing Missions and Sensors: Development, Implementation, and Characterization II
Haruhisa Shimoda; Xiaoxiong Xiong; Changyong Cao; Xingfa Gu; Choen Kim; A. S. Kiran Kumar, Editor(s)

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