以太阳光为辐射源的近红外波段高分辨率吸收光谱广泛应用于大气参数遥测。 以CO2浓度反演为例, 研究了太阳光谱分辨率的影响。 利用美国AER公司编制的太阳光谱计算程序得到大气上界的理论计算太阳光谱作为辐射源, 结合自行编制的高分辨率大气透过率模拟软件HRATS对大气中CO2平均浓度进行模拟反演。 数值模拟计算结果表明, 太阳光谱的准确度对浓度反演非常重要, 特别是在超分辨光谱反演中异常重要, 虽然反演浓度的偏差与观测分辨率没有明显的线性变化规律, 但有趋势: 观测分辨率的降低对太阳光谱分辨率的要求也降低, 为了精确反演大气中CO2浓度, 因此需要充分利用大气层顶的高分辨太阳辐射光谱数据。

Taking solar source as radiation in the near-infrared high-resolution absorption spectrum is widely used in remote sensing of atmospheric parameters. The present paper will take retrieval of the concentration of CO2 for example, and study the effect of solar spectra resolution. Retrieving concentrations of CO2 by using high resolution absorption spectra, a method which uses the program provided by AER to calculate the solar spectra at the top of atmosphere as radiation and combine with the HRATS (high resolution atmospheric transmission simulation) to simulate retrieving concentration of CO2. Numerical simulation shows that the accuracy of solar spectrum is important to retrieval, especially in the hyper-resolution spectral retrieavl, and the error of retrieval concentration has poor linear relation with the resolution of observation, but there is a tendency that the decrease in the resolution requires low resolution of solar spectrum. In order to retrieve the concentration of CO2 of atmosphere, the authors’ should take full advantage of high-resolution solar spectrum at the top of atmosphere.