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Inter calibrating geostationary imagers via polar orbiting high spectral resolution data

机译:通过极性轨道高频分辨率数据进行间校准地静止成像仪

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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:地球静止同时Nadir观测(GSNOS)被收集为地球观测系统(EOS)大气红外发声器(空气)陆上水色和全球地静止成像仪阵列。该研究中的成像者是12和Meteosat-8。单个极性轨道卫星可用于互连任何数量的地静止图像。在这种情况下,使用高频光谱分辨率传感器在这种情况下,在大多数带中具有绝对校准的空气,在0.1K内,该方法将根据仪器的光谱响应的实验室测量更接近成像仪校准精度的绝对估算。所呈现的间隙填充方法是补偿空气光谱间隙的足够方法,几乎​​所有地静止带,用于在赤道或附近完成的比较。美国标准气氛大部分是足够的,而是从空中检索或者更适合进行比较的环境中计算的大气层可以产生更好的结果。

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