GOES-17 ABI L1b Product Performance with Predictive Calibration

The ABI instrument on GOES-17 suffers from insufficient cooling, resulting in degradation in the L1b radiance products during times of excessive solar heating, partially due to the original calibration algorithm assuming only a slowly-varying thermal state. In 2019 a modification of the calibration...

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Bibliographic Details
Main Authors: Fulbright, Jon, Pogorzala, David, Kline, Elizabeth, Wang, Zhipeng, Yu, Fangfang, Yoo, Hyelim, Wu, Xiangqian
Format: Conference Proceeding
Language:English
Subjects:
ABI
Advanced Baseline Imager
Calibration
Detectors
GOES-17
Moon
on-orbit sensor optimization
Prediction algorithms
Space vehicles
Switches
Temperature measurement
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Summary:The ABI instrument on GOES-17 suffers from insufficient cooling, resulting in degradation in the L1b radiance products during times of excessive solar heating, partially due to the original calibration algorithm assuming only a slowly-varying thermal state. In 2019 a modification of the calibration algorithm (named "Predictive Calibration") was introduced as part of the mitigation strategy. We summarize the early evaluation of L1b products created with this modified algorithm. We also describe some of the imagery artifacts sometimes introduced into the GOES-17 ABI L1b data by the Predictive Calibration or other mitigation steps.
ISSN:2153-7003
DOI:10.1109/IGARSS39084.2020.9323574