Automating the Quality Assurance Stage of GONG Data Processing

Details Automating the Quality Assurance Stage of GONG Data Processing Automating the Quality Assurance Stage of GONG Data Processing

May 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsp13a..08c&link_type=abstract

American Geophysical Union, Spring Meeting 2005, abstract #SP13A-08

Other

7522 Helioseismology, 7594 Instruments And Techniques

Scientific paper

An Automated Image Rejection (AIR) program for image quality assurance has been developed for use in processing GONG data. It includes checks for detecting bad images due to weather, obstructions in the field of view (e.g. aircraft at Big Bear), and abnormal instrument operation. Data from a test period were reprocessed through our image calibration pipeline using the AIR program for image QA decisions. The dataset produced with AIR had a slightly higher duty cycle than the archived data from the test period. Comparison of the resulting peak mode frequency distributions, ring diagram derived flow patterns, and other helioseismology products shows close agreement with the products derived from the original dataset.

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