太阳光谱对高分辨吸收光谱反演大气CO<SUB>2</SUB>浓度影响的研究

doi:10.3964/j.issn.1000-0593(2011)06-1683-05

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摘要：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。

关键词：辐射传输;太阳光谱;高分辨吸收光谱;浓度

Abstract：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.

Key words：Atmospheric radiative transfer;Solar source spectra;High resolution absorption spectra;Concentration

收稿日期: 2010-09-13 修订日期: 2010-12-10

中图分类号:

P407

通讯作者: 黄腾 E-mail: huangteng@aiofm.ac.cn

引用本文:

胡振华，黄腾^*，王颖萍，丁蕾，郑海洋，方黎. 太阳光谱对高分辨吸收光谱反演大气CO₂浓度影响的研究[J]. 光谱学与光谱分析, 2011, 31(06): 1683-1687.
HU Zhen-hua, HUANG Teng^*, WANG Ying-ping, DING Lei, ZHENG Hai-yang, FANG Li . Study on the Effect of Solar Spectra on the Retrieval of Atmospheric CO₂ Concentration Using High Resolution Absorption Spectra . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(06): 1683-1687.

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