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Inter-calibration of infrared bands of FY-3C MERSI and VIRR using hyperspectral sensor CrIS and IASI

机译:使用高光谱传感器CrIS和IASI对FY-3C MERSI和VIRR的红外波段进行相互校准

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An inter-calibration method of infrared channels of FY-3C MERSI and VIRR using NPP/CrIS and Metop/IASI as the hyperspectral reference sensor is introduced. Based on FY-3C SNO collocated samples with CrIS and IASI, on early orbit, we analyze the calibration biases of infrared bands of MERSI and VIRR. The results show that the brightness temperatures (BT) from the MERSI observation and CrIS have a good consistency, and the BT biases present an approximately normal distribution and the mean BT bias is about -0.18K with standard deviation of 0.83K. When the scene BT is lower than 250 K, the result of MERSI is higher than that of CrIS, while the result of MERSI is lower at the more than 250K scene. The BT from VIRR shows significant systematic bias with respect to CrIS and the mean BT bias is about -0.65 K (channel 4) and -0.72 K (channel 5) at 250K scene with standard deviation of 0.15 K and 0.12 K, respectively. Long term monitoring analysis demonstrates the above biases are stable in the early 6 months. The inter-calibration results using different hyperspectral sensors IASI and CrIS indicate the MERSI/VIRR biases with respect to two reference sensors have a good consistency and this further verifies the reliability of the method. It provides significant information to further correct the calibration biases of MERSI and VIRR.
机译:介绍了使用NPP / CrIS和Metop / IASI作为高光谱参考传感器的FY-3C MERSI和VIRR红外通道互标方法。基于FY-3C SNO与CrIS和IASI并置的样本,在早期轨道上,我们分析了MERSI和VIRR红外波段的校准偏差。结果表明,来自MERSI观测值和CrIS的亮度温度(BT)具有良好的一致性,并且BT偏差呈现近似正态分布,平均BT偏差​​约为-0.18K,标准偏差为0.83K。当场景BT低于250 K时,MERSI的结果高于CrIS的结果,而在超过250K的场景中MERSI的结果则更低。来自VIRR的BT在CrIS方面显示出显着的系统偏差,在250K场景下,平均BT偏差​​约为-0.65 K(通道4)和-0.72 K(通道5),标准偏差分别为0.15 K和0.12K。长期监测分析表明,上述偏差在6个月的初期是稳定的。使用不同的高光谱传感器IASI和CrIS的相互校准结果表明,相对于两个参考传感器的MERSI / VIRR偏差具有良好的一致性,这进一步验证了该方法的可靠性。它提供了重要的信息,可以进一步纠正MERSI和VIRR的校准偏差。

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