研究云层对卫星遥感大气CO精度的影响, 并以SCIAMACHY观测为例, 详细论述一种云层影响的修正方法。 修正过程中, 采用朗伯云模型, 全面考虑云层覆盖率、 云顶高度和地面反射率的影响。 将云层影响修正前后的卫星CO反演结果与地基FTIR测量值进行对比, 发现修正云层影响后, 两者的测量相关性明显提高。 实验结果表明, 提出的云层影响修正方法可明显提高卫星遥感大气CO的精度。

The cloud effect correction is very significant to satellite remote sensing of atmospheric trace gases from near-infrared spectrum, even with a small amount of cloud, the remaining effects can still cause retrieval error even reaching up to 100%.Atmospheric carbon monoxide (CO) is one of the most important pollutants in the troposphere. This study, takeing CO as the example, described the cloud effect and the cloud correction on retrieval result from SCIAMACHY measurement. To validate the correction method, we compared both corrected and uncorrected results with the independent ground based FTIR measurements. After the correction, the agreement between satellite observations and FTIR measurements further improves.