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Detection and characterization of striping in GOES-16 ABI VNIR/IR bands

机译:READ-16 ABI VNIR / IR带状条带的检测与表征

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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 band14-16 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:新一代成像仪器中,高级基线成像仪(ABI),于2016年11月19日推出了搭载的地球静止业务环境卫星的第一颗卫星 - R系列(GOES-R)。这个重要的卫星成为GOES-16发射后不久,换成GOES-13作为NOAA的操作GOES东卫星12月18日,2017年ABI具有16个频带覆盖0.47μm和13.3微米之间的频谱,以提供天气预报连续的数据流和灾害监测。发射后,关键是要监测和使用由GOES-16地面段处理的数据及时评估仪器校准性能,在开始后发射试验(PLT),并继续在整个工作寿命。为了这个目的,GOES- 16校准工作组(CWG)已研制出一种仪器性能监视器(IPM)系统,包括指标GOES-16 ABI条带化的识别和鉴定。特别是,它包括单独的带条纹的识别,标记,频率,和在分提供给任务寿命时间尺度的图像质量,以及采样和像素级。使用这个工具,严重的条带化在几个ABI带 - 例如,band01-03,band05和band14-16进行了表征。条带化的根本原因已被发现从校准算法的缺陷和工件主要出现。这种条带的鉴定和表征由此激励根源研究和校准改进活动。工作作为CWG IPM系统的一部分,条纹识别和表征指标的帮助,使见多识广的地面段实施校准的改进和更新用户GOES-16 ABI,同时也提供了解决异常线索。

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