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Using AIRS and IASI data to evaluate absolute radiometric accuracy and stability for climate applications

机译:使用AIRS和IASI数据来评估气候应用的绝对辐射精度和稳定性

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The creation of multi-decadal data sets for climate research requires better than 100 mK absolute calibration accuracy for the full range of spectral temperatures encountered under global conditions. Validation that this accuracy is achieved by the operational hyperspectral sounders from polar orbit is facilitated by comparing data from two instruments. Extreme radiometric calibration stability is critical to allow a long time series of noisy, but presumably long-term accurate truth measurements to be used for the validation of absolute accuracy at the 100 mK level. We use the RTGSST in the tropical oceans as ground truth. The difference between the AIRS derived sst2616 and the RTGSST based on six years of data shows a systematic cold bias of about 250 mK, but better than 4 mK/year stability. The double difference between AIRS and the RTGSST and IASI and the RTGSST with less than one year of data already allows statements at the 100 mK absolute level. It shows a 60 mK difference between the AIRS and the IASI calibration at 2616 cm~(-1) and 300 K, with a statistically insignificant 20 mK shift in six months.
机译:用于气候研究的多层数据集的创建需要在全球条件下遇到的全系列光谱温度来提高100 Mk绝对校准精度。通过比较来自两个仪器的数据,通过从两个仪器进行比较来验证来自极轨的操作超细声音。极端辐射校准稳定性对于允许长时间的噪声是至关重要的,但可能是长期准确的真理测量值用于在100 mk级别的绝对精度验证。我们在热带海洋中使用RTGSST作为地面真相。基于六年的数据衍生SST2616和RTGSST之间的差异显示出约250 mk的系统性冷偏差,但稳定性优于4毫克/年。 Airs和RTGSST和IASI之间的双重差异和rTGSST,具有少于一年的数据已经允许在100 MK绝对级别的陈述。它显示了2616cm〜(-1)和300 k之间的空气和IASI校准之间的60 mk差异,六个月内有统计上微不足道的20 mk。

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