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GOES-R AWG product processing system framework: implementing algorithms
Walter W. Wolf, NOAA/NESDIS/STAR, Camp Springs, MD; and S. Sampson, Z. Cheng, P. Keehn, Q. Guo, S. Qiu, and M. Goldberg
NOAA/NESDIS/STAR has designed, developed, and implemented the 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 products within a single system. Thirty five GOES-R ABI algorithms have been run within the framework with product precedence. In integrating and running these algorithms, a number of issues arose. Some of the issues between algorithms include: different forward models, different interpolation of model forecast data, identifying ancillary data sets that provide similar data and choosing one for all algorithms to use, different missing values, multiple error handling functions, different algorithm interfaces, passing data structures between C++ and Fortran90, inter algorithm dependencies, and multiple data formats for input and output data. Each of these issues has been addressed during the development of the framework and the implementation of the algorithms. The approach to solving these issues and the resulting solutions will be discussed.
Poster Session , Poster Session - GOES-R
Wednesday, 20 January 2010, 2:30 PM-4:00 PM
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