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Spaceborne estimate of atmospheric CO2 column by use of the differential absorption method: error analysis

机译：利用差分吸收法估算大气中二氧化碳柱的星载：误差分析

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摘要

For better knowledge of the carbon cycle, there is a need for spaceborne measurements of atmospheric CO2 concentration. Because the gradients are relatively small, the accuracy requirements are better than 1%. We analyze the feasibility of a CO2-weighted-column estimate, using the differential absorption technique, from high-resolution spectroscopic measurements in the 1.6- and 2-mum CO2 absorption bands. Several sources of uncertainty that can be neglected for other gases with less stringent accuracy requirements need to be assessed. We attempt a quantification of errors due to the radiometric noise, uncertainties in the temperature, humidity and surface pressure uncertainty, spectroscopic coefficients, and atmospheric scattering. Atmospheric scattering is the major source of error [5 parts per 10(6) (ppm) for a subvisual cirrus cloud with an assumed optical thickness of 0.03], and additional research is needed to properly assess the accuracy of correction methods. Spectroscopic data are currently a major source of uncertainty but can be improved with specific ground-based sunphotometry measurements. The other sources of error amount to several ppm, which is less than, but close to, the accuracy requirements. Fortunately, these errors are mostly random and will therefore be reduced by proper averaging. (C) 2003 Optical Society of America. [References: 41]
机译：为了更好地了解碳循环，需要对大气中的二氧化碳浓度进行星载测量。由于梯度相对较小，因此精度要求优于1％。我们使用差分吸收技术，从1.6和2微米CO2吸收带的高分辨率光谱测量中分析了CO2加权柱估算的可行性。对于不确定性要求不严格的其他气体，需要评估几种不确定性来源。我们尝试对由于辐射噪声，温度，湿度和表面压力不确定性，光谱系数和大气散射引起的误差进行量化。大气散射是误差的主要来源[对于亚光学卷云，假设光学厚度为0.03，每10（6）（ppm）为5份]，并且需要进行其他研究以正确评估校正方法的准确性。光谱数据目前是不确定性的主要来源，但可以通过特定的地面日光法测量加以改善。其他误差源总计为几ppm，这小于但接近精度要求。幸运的是，这些误差大部分是随机的，因此可以通过适当的平均来减少。 （C）2003年美国眼镜学会。 [参考：41]

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