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Using IASI Observations to Resolve HIRS Spectral Response Function Induced Intersatellite Biases

机译:使用IASI观察解决HIRS光谱响应函数引起的ittersatellite偏差

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There are significant challenges in making the observations from HIRS (High Resolution Infrared Radiation Sounder) on the 13+ satellites consistent for climate change detection. It is well known that for HIRS, the inter-satellite biases are significantly affected by differences in the spectral response functions (SRF) between instruments, since they often lead to observations of the atmosphere at different altitudes. The SRF dependent biases are further mixed with other effects such as the diurnal cycle due to observation time differences and orbital drifts, blackbody emissivity, and calibration algorithms. In this study, the IASI (Infrared Atmospheric Sounding Interferometer) observations are used to calculate the HIRS radiances by convolving the IASI observed radiances with the SRF of each HIRS model across different climate zones in different seasons, which separates the SRF induced intersatellite biases from other factors. It is found that the calculated radiance ratios using IASI observations for the HIRS satellite pairs form bell shaped curves that vary with the HIRS model, channel, as well as climate zones. Understanding the characteristics of these bell curves are essential for resolving the SRF dependent intersatellite biases and the development of fundamental climate data records from HIRS.
机译:在为气候变化检测的13次卫星上的HIR(高分辨率红外辐射发声器)的观察中,存在重大挑战,这是对气候变化检测的13+卫星的观察。众所周知,对于HIR,卫星间偏差显着受乐谱响应函数(SRF)之间的差异影响,因为它们经常导致在不同高度的大气观察。由于观察时间差和轨道漂移,黑体发射率和校准算法,SRF依赖性偏差进一步与诸如昼夜循环的其他效果相混合。在这项研究中,IASI(红外大气听起来干涉仪)用于通过在不同季节中与不同气候区的每个HIR模型的SRF卷积的IASI观察到的广域来计算HIRS辐射,以不同的季节将SRF诱导的Intersatellite偏差与其他季节分开因素。发现使用IASI对HIRS卫星对的观测的辐射比率形成钟形曲线,该曲线与HIRS模型,通道以及气候区不同。了解这些贝尔曲线的特征对于解决SRF依赖性梭太偏见和从HIR的发展的发展是必不可少的。

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