中文摘要：

大气CO2是重要的温室气体,对大气CO2的全球监测有助于增进人类对气候变化的理解。相比于天基平台,地基观测数据通常具有更高的光谱分辨率、信噪比及其他已知参数,更容易实现较高的反演精度。地基反演方法可以作为天基算法的基础,并为天基观测结果提供必要的验证。本文针对地基观测的特点,建立了使用地基FTS数据反演大气CO2柱浓度的方法。模拟计算显示该方法在一定的系统误差条件下,具有获得较高反演精度的能力。对地基FTS实测数据进行的反演实验表明,该方法能够获得较精确的大气CO2浓度信息。

英文摘要：

Atmospheric carbon dioxide is a key greenhouse gas. Global monitoring of carbon dioxide would be helpful to impro- ving the understanding of climate change. Ground-based observations usually have higher resolution and signal-to-noise ratio and more known parameters than satellite-based observations, whieh make it easier to aehieve a better retrieval precision. Ground- based retrieval method could be extended to satellite scenarios, and it could also provide validation for satellite data. The main procedure of the retrieval method was established, and this procedure was validated by simulated retrieval. It was proved that the method could get reasonable results under certain system errors. The retrieval of ground-based FTS spectra showed that this method has a potential to obtain atmospheric carbon dioxide column information.