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Direct retrieval of stratospheric CO_2 infrared cooling rate profiles from AIRS data

机译:从AIRS数据直接检索平流层CO_2红外冷却速率曲线

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摘要

We expand upon methods for retrieving thermal infrared cooling rate profiles, originally developed by Liou and Xue (1988) through application to the inversion of the stratospheric cooling rate produced by carbon dioxide (CO_2) and a formal description of the associated error budget. Specifically, we infer lower- and mid-stratospheric cooling rates from the CO_2 ν_2 band on the basis of selected spectral channels and available data from the Atmospheric Infrared Sounder (AIRS). In order to establish the validity of our results, we compare our retrievals to those calculated from a forward radiative transfer program using retrieved temperature data from spectra taken by the Scanning High-Resolution Interferometer Sounder (S-HIS) on two aircraft campaigns: the Mixed-Phase Arctic Cloud Experiment (MPACE) and the Aura Validation Experiment (AVE) both in Fall, 2004. Reasonable and consistent comparisons are illustrated, revealing that spectral radiance data taken by high-resolution infrared sounders can be used to determine the vertical distribution of radiative cooling due to CO_2.
机译:我们扩展了检索热红外冷却速率剖面的方法,该方法最初是由Liou和Xue(1988)通过将二氧化碳(CO_2)产生的平流层冷却速率的反演和相关误差预算的形式描述应用而获得的。具体来说,我们根据选定的光谱通道和来自大气红外测深仪(AIRS)的可用数据,从CO_2ν_2波段推断平流层中低层和中层的冷却速率。为了确定我们的结果的有效性,我们将我们的检索结果与从前向辐射传输程序计算的检索结果进行了比较,这些程序使用的是扫描高分辨率干涉仪测深仪(S-HIS)在两次飞机战役中获得的光谱中检索到的温度数据:于2004年秋季进行的阶段性北极云实验(MPACE)和光环验证实验(AVE)。说明了合理且一致的比较,揭示了高分辨率红外测深仪获取的光谱辐射度数据可用于确定卫星的垂直分布。由CO_2引起的辐射冷却。

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