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Inter calibrating geostationary imagers via polar orbiting high spectral resolution data

机译:通过极地轨道高光谱分辨率数据相互校准地球静止成像仪

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Geostationary Simultaneous Nadir Observations (GSNOs) are collected for Earth Observing System (EOS) Atmospheric InfraRed Sounder (AIRS) onboard Aqua and a global array of geostationary imagers. The imagers compared in this study are GOES-12 and METEOSAT-8. A single polar-orbiting satellite can be used to intercalibrate any number of geostationary imagers. Using a high spectral resolution sensor, in this case AIRS, with absolute calibration to within 0.1K in most bands brings this method closer to an absolute reckoning of Imager calibration accuracy based on laboratory measurements of the instrument's spectral response. The gap-filling method presented is an adequate method of compensating for AIRS spectral gaps in nearly all geostationary bands for comparisons done at or near the equator. The US Standard Atmosphere is adequate for the most part, but an atmosphere either calculated from an AIRS retrieval or one more suited to the environment in which comparisons are being made, could produce even better results.
机译:在Aqua和全球对地静止成像仪阵列上为地球观测系统(EOS)大气红外测深仪(AIRS)收集了对地静止同步天底观测(GSNO)。在这项研究中比较的成像仪是GOES-12和METEOSAT-8。单个极地轨道卫星可用于相互校准任何数量的地球静止成像仪。使用高光谱分辨率传感器(在本例中为AIRS),在大多数频段中的绝对校准都在0.1K以内,这使该方法更接近于基于实验室光谱响应的实验室测量值对成像仪校准精度的绝对估算。提出的缺口填补方法是补偿几乎所有对地静止带中AIRS频谱缺口的适当方法,用于在赤道处或附近进行比较。美国标准大气在大多数情况下是足够的,但是通过AIRS检索得出的或更适合于进行比较的环境的大气可能会产生更好的结果。

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