GOES-17 Abi L1B Product Performance With Predictive Calibration
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2020
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Source: IEEE International Geoscience and Remote Sensing Symposium
Details
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Journal Title:IEEE International Geoscience and Remote Sensing Symposium
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Personal Author:
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Corporate Authors:Arctic Slope Federal Technical Services ; Centauri ; NOAA National Environmental Satellite, Data, and Information Service ; NOAA Geostationary Operation Environmental Satellite-R Series ; NOAA Center for Satellite Applications and Research ; University of Maryland at College Park ; Earth System Science Interdisciplinary Research Center
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NOAA Program & Office:
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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.
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Keywords:
- Calibration
- Prediction algorithms
- Temperature measurement
- Detectors
- Space vehicles
- Moon
- Switches
- L1B Product
- Original Algorithm
- Solar Heating
- Calibration Algorithm
- High Temperature
- Time Of Day
- Elevated Temperature
- Prediction Algorithms
- Focal Plane
- Dark Current
- Brightness Temperature
- Gain Settings
- Changes In Gain
- Infrared Bands
- Detector Gain
- Seasonal Maximum
- GOES-17
- Advanced Baseline Imager (ABI)
- On-orbit sensor optimization
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Source:IEEE International Geoscience and Remote Sensing Symposium
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DOI:
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ISBN:978-1-7281-6374-1 ; 978-1-7281-6373-4 ; 978-1-7281-6375-8
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ISSN:2153-7003 ; 2153-6996
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Rights Information:Accepted Manuscript
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Compliance:Submitted
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Main Document Checksum:urn:sha-512:74b6934560a399d2ab8dc97abb9ea9a8e02450881197956539ad8a7c6e2efc38dd33aa7ed6d70128b46ef378da71450eff0b7c1de1641bff49dd358becdb0e20
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