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GOES-16 Advanced Baseline Imager instrument performance monitor
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2020
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Source: Journal of Applied Remote Sensing, 14(1)
Details:
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Journal Title:Journal of Applied Remote Sensing
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Personal Author:
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NOAA Program & Office:
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Description: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
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Keywords:
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Source:Journal of Applied Remote Sensing, 14(1)
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DOI:
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Document Type:
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Rights Information:CC BY
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Compliance:Submitted
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