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Data Selection Criteria in Star-Based Monitoring of GOES Imager Visible-Channel Responsivities

机译:基于星标的GOES成像仪可见通道响应监测中的数据选择标准

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Monitoring the responsivities of the visible channels of the operational Geostationary Operational Environmental Satellites (GOES) is an on-going effort at NOAA. Various techniques are being used. In this paper we describe the technique based on the analysis of star signals that are used in the GOES Orbit and Attitude Tracking System (OATS) for satellite attitude and orbit determination. Time series of OATS star observations give information on the degradation of the detectors of a visible channel. Investigations of star data from the past three years have led to several modifications of the method we initially used to calculate the exponential degradation coefficient of a star-signal time series. First we observed that different patterns of detector output versus time result when star images drift across the detector array along different trajectories. We found that certain trajectories should be rejected in the data analysis. We found also that some detector-dependent weighting coefficients used in the OATS analysis tend to scatter the star signals measured by different detectors. We present a set of modifications to our star monitoring algorithms for resolving such problems. Other simple enhancements on the algorithms will also be described. With these modifications, the time series of the star signals show less scatter. This allows for more confidence in the estimated degradation rates and a more realistic statistical analysis on the extent of uncertainty in those rates. The resulting time series and estimated degradation rates for the visible channels of GOES-8 and GOES-10 Imagers will be presented.
机译:监视运行中的对地静止运行环境卫星(GOES)可见通道的响应是NOAA正在进行的一项工作。正在使用各种技术。在本文中,我们基于对GOES轨道和姿态跟踪系统(OATS)中用于卫星姿态和轨道确定的星信号的分析,描述了该技术。 OATS恒星观测的时间序列可提供有关可见通道探测器质量下降的信息。过去三年中对恒星数据的研究已经对我们最初用于计算恒星信号时间序列指数衰减系数的方法进行了一些修改。首先,我们观察到当恒星图像沿着不同的轨迹在探测器阵列上漂移时,会导致探测器输出随时间变化的不同模式。我们发现在数据分析中应拒绝某些轨迹。我们还发现,在OATS分析中使用的一些依赖于探测器的加权系数会分散由不同探测器测量的星信号。为了解决此类问题,我们对星形监视算法进行了一系列修改。还将描述对算法的其他简单增强。通过这些修改,星形信号的时间序列显示出较少的散射。这样可以使人们对估计的降解率更有信心,并可以对这些降解率的不确定性程度进行更实际的统计分析。将介绍GOES-8和GOES-10成像器可见通道的所得时间序列和估计的退化率。

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