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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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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creator Fulbright, Jon
Pogorzala, David
Kline, Elizabeth
Wang, Zhipeng
Yu, Fangfang
Yoo, Hyelim
Wu, Xiangqian
description 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.
doi_str_mv 10.1109/IGARSS39084.2020.9323574
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subjects ABI
Advanced Baseline Imager
Calibration
Detectors
GOES-17
Moon
on-orbit sensor optimization
Prediction algorithms
Space vehicles
Switches
Temperature measurement
title GOES-17 ABI L1b Product Performance with Predictive Calibration
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