Abstract

The Advanced Baseline Imager (ABI) onboard NOAA's Geostationary Operational Environmental Satellite-R (GOES-R) series provides high-quality, radiometrically-calibrated Earth-observing imaging data. Operational calibration of the six visible/near-infrared (VNIR) spectral channels is maintained through periodic observations of the on-board solar diffuser. Currently, the ground processing algorithm automatically updates the calibration coefficients for the VNIR channels after each solar diffuser observation. These automatic updates are working well, but it has been recognized that having a "human-in-the-loop" is preferred to optimize the long-term quality of the L1b products. In this talk, we describe the process involved in modifying the ground processing to incorporate this change. Beyond being a simple code change, the overall process involves coordinating the efforts of several teams to ensure this transitions from a research-level idea to a reliable, sustainable operational activity. Additionally, we will show examples of how this method has been used to positively impact L1b products.

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Jun 19th, 4:50 PM

Designing a Human-in-the-Loop Process for Maintaining Optimal Calibration of GOES-R ABI Visible Channels

The Advanced Baseline Imager (ABI) onboard NOAA's Geostationary Operational Environmental Satellite-R (GOES-R) series provides high-quality, radiometrically-calibrated Earth-observing imaging data. Operational calibration of the six visible/near-infrared (VNIR) spectral channels is maintained through periodic observations of the on-board solar diffuser. Currently, the ground processing algorithm automatically updates the calibration coefficients for the VNIR channels after each solar diffuser observation. These automatic updates are working well, but it has been recognized that having a "human-in-the-loop" is preferred to optimize the long-term quality of the L1b products. In this talk, we describe the process involved in modifying the ground processing to incorporate this change. Beyond being a simple code change, the overall process involves coordinating the efforts of several teams to ensure this transitions from a research-level idea to a reliable, sustainable operational activity. Additionally, we will show examples of how this method has been used to positively impact L1b products.