Abstract
The first of a new generation of imaging instruments - the Advanced Baseline Imager (ABI) was launched aboard the first of the Geostationary Operational Environmental Satellites - R Series (GOES-R), currently named GOES-16, on November 19 2017. The main payload instrument on-board is Advanced Baseline Imager (ABI), which has 16 multi-spectral bands covering the spectrum between 0.47µm and 13.3 µm to provide continuous data stream for weather forecasting, disaster monitoring, and long-term climatic change studies. This instrument ABI is housed a temperature-controlled blackbody to provide accurate on-orbit radiometric calibrations in thermal infrared (IR 3.9-13.3 μm) spectral regions from the band 7 to band 16, respectively. After launch, it is urgent and critical to monitor and evaluate the instrument calibration performance in a timely manner on these IR bands with the data from the ground segment system, especially during the Post-Launch Tests (PLT) and Post-Launch Product Tests (PLPT). After PLPT, the importance still continues in real-time monitoring and long term trending. For this purpose, we develop an informative monitoring and trending system for GOES-R ABI radiometric performance in thermal infrared IR band 7-16. The monitoring and trending includes direct counts, gain, offset, noise equivalent change in radiance (NEdN), noise equivalent differential temperature (NEdT), and dynamic range characterization from minutes to all-life timescale, from the sample, detector level to L1B pixel level, as well as some other aspects of the instrument performance such as ABI image swath banding, band-dependent striping identification etc. This system thus does not only make the user well informed the improvement of ground segment system implementing the updates in thermal infrared IR bands, but also provides the clues for the anomalies resolving. At the same time, the statistics analysis of the Internal Calibration Target (ICT) and space-look counts on sample/detector/pixel level in different timescales from GOES-R calibration working group (CWG) in comparison with the ground segment system processing, are also presented in this monitoring and trending system.
GOES-R ABI Emissive IR Bands Radiometric Performance Monitoring and Trending
The first of a new generation of imaging instruments - the Advanced Baseline Imager (ABI) was launched aboard the first of the Geostationary Operational Environmental Satellites - R Series (GOES-R), currently named GOES-16, on November 19 2017. The main payload instrument on-board is Advanced Baseline Imager (ABI), which has 16 multi-spectral bands covering the spectrum between 0.47µm and 13.3 µm to provide continuous data stream for weather forecasting, disaster monitoring, and long-term climatic change studies. This instrument ABI is housed a temperature-controlled blackbody to provide accurate on-orbit radiometric calibrations in thermal infrared (IR 3.9-13.3 μm) spectral regions from the band 7 to band 16, respectively. After launch, it is urgent and critical to monitor and evaluate the instrument calibration performance in a timely manner on these IR bands with the data from the ground segment system, especially during the Post-Launch Tests (PLT) and Post-Launch Product Tests (PLPT). After PLPT, the importance still continues in real-time monitoring and long term trending. For this purpose, we develop an informative monitoring and trending system for GOES-R ABI radiometric performance in thermal infrared IR band 7-16. The monitoring and trending includes direct counts, gain, offset, noise equivalent change in radiance (NEdN), noise equivalent differential temperature (NEdT), and dynamic range characterization from minutes to all-life timescale, from the sample, detector level to L1B pixel level, as well as some other aspects of the instrument performance such as ABI image swath banding, band-dependent striping identification etc. This system thus does not only make the user well informed the improvement of ground segment system implementing the updates in thermal infrared IR bands, but also provides the clues for the anomalies resolving. At the same time, the statistics analysis of the Internal Calibration Target (ICT) and space-look counts on sample/detector/pixel level in different timescales from GOES-R calibration working group (CWG) in comparison with the ground segment system processing, are also presented in this monitoring and trending system.