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Detection and Characterization of Striping in GOES-16 ABI VNIR/IR Bands

机译:GOES-16 ABI VNIR / IR波段中条带的检测和表征

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A new generation of imaging instruments, the Advanced Baseline Imager (ABI), was launched on November 19, 2016 aboard the first satellite of the Geostationary Operational Environmental Satellite - R Series (GOES-R). This premier satellite became GOES-16 shortly after launch, and replaced GOES-13 as NOAA's operational GOES-East satellite on December 18, 2017. ABI has 16 bands covering the spectrum between 0.47μm and 13.3 μm to provide continuous data stream for weather forecasting and disaster monitoring. After launch, it is critical to monitor and evaluate the instrument calibration performance in a timely manner using data processed by the GOES-16 Ground Segment, starting at Post-Launch Tests (PLT) and continuing throughout mission life. For this purpose, the GOES-16 Calibration Working Group (CWG) has developed an Instrument Performance Monitor (IPM) system that includes metrics for GOES-16 ABI striping identification and characterization. In particular, it includes individual band striping identification, flagging, frequency, and image quality provided at minute to mission-life time scales, and sample and pixel level. Using this tool, severe striping in several ABI bands - e.g., band01-03, band05, and band 14-16 were characterized. The root cause of striping has been found to predominately arise from calibration algorithm deficiencies and artifacts. Identification and characterization of such striping thus motivates root-cause study and calibration improvement activities. Working as part of the CWG IPM system, the striping identification and characterization metrics help to make the user well informed of Ground Segment implemented calibration improvements and updates for GOES-16 ABI, but also provides clues for resolving anomalies.
机译:新一代成像仪器,即高级基线成像仪(ABI),于2016年11月19日在对地静止运行环境卫星R系列(GOES-R)的第一颗卫星上发射。这颗优质卫星在发射后不久即成为GOES-16,并于2017年12月18日取代GOES-13成为NOAA的GOES-East运行卫星。ABI拥有16个频段,覆盖0.47μm至13.3μm的频谱,可提供连续的数据流以进行天气预报和灾难监控。发射后,从发射后测试(PLT)开始一直持续到整个任务寿命,使用GOES-16地面部分处理的数据及时监视和评估仪器校准性能至关重要。为此,GOES-16校准工作组(CWG)开发了一种仪器性能监控器(IPM)系统,该系统包括用于GOES-16 ABI条形识别和表征的指标。特别是,它包括在任务生命周期的时标以及样本和像素级别上每分钟提供的单独的条带识别,标记,频率和图像质量。使用该工具,可以对几个ABI频段(例如band01-03,band05和14-16频段)的严重条带化进行表征。已经发现条带化的根本原因主要是由于校准算法的缺陷和伪影。因此,对这种条带的识别和表征会激发根本原因的研究和校准改进活动。作为CWG IPM系统的一部分,条带识别和特征度量有助于使用户充分了解地面分段对GOES-16 ABI实施的校准改进和更新,还提供了解决异常的线索。

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