Abstract
Time series generated from NOAA operational satellite sensor temperature, noise, and calibration parameter statistics is a critical science analysis tool to trend instrument performance and detect and resolve on-orbit anomalies. Establishing this capability entails ingesting instrument engineering, housekeeping, and calibration data; performing statistics on them; and then storing and providing the resultant data and/or plots. For instruments with relatively small amounts of input and output data, this is a relatively easy task. For the NOAA Geostationary Operational Environmental Satellite R-Series Advanced Baseline Imager (ABI)—with three times more spectral information, four times the spatial resolution, and more than five times faster temporal coverage than previous GOES—instrument performance monitoring can be extremely complex because of the relatively large data volumes and number of parameters. Also of difficulty is that software and computing architecture needed to build such a system is usually proprietary and not openly documented. In order to fill this gap, we focus on the concept of operations and the results associated with the ABI instrument performance monitor. This monitoring system has proven to be extremely valuable in tracking instrument stability and detecting and performing initial diagnosis of ABI anomalies.
Highlights
After a NOAA operational satellite is launched, monitoring and maintaining instrument data integrity is one of the essential activities related to satellite and instrument command, control, and sustainment
The amount of time it takes for the Advanced Baseline Imager (ABI) instrument performance monitor (IPM) software to process the ABI instrument calibration data (ICD) in order to establish both the GOES-R ICVS Dataset Storage (GRIDS), as well as all of the portable network graphics image artifacts, is a small fraction of the actual data accumulation rate—i.e., the rate that data are acquired by ABI, processed by the Geostationary Operational Environmental Satellite R-Series (GOES-R) Ground Segment (GS), and delivered to Satellite Applications and Research (STAR) through Product Distribution and Access (PDA)
This paper has provided insight into the concept of operations (CONOPS) and results of the GOES-R ABI instrument performance monitoring system built as part of the STAR Integrated Calibration Validation System (ICVS)
Summary
After a NOAA operational satellite is launched, monitoring and maintaining instrument data integrity is one of the essential activities related to satellite and instrument command, control, and sustainment. Once these data are in the local LINUX cluster, the IPM needs to be able to organize and store raw and analyzed ICD data in files with an accessible format, and to output time series plots and images of these data for trending. The GOES-R IPM allows STAR calibration specialists, with local-area computing network access, the ability to comprehensively investigate ABI instrument data quality in near-real time to support anomaly resolution and detailed long-term monitoring It permits worldwide satellite operators, science community members, and data users with internet access the ability to browse near-real time, consolidated ABI instrument information and data statistics in a format that fosters product integrity knowledge and anomaly detection.
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