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中国物理学会期刊

基于多轴差分吸收光谱技术测量青岛市大气水汽垂直柱浓度及垂直分布

CSTR: 32037.14.aps.69.20200588

Measurement of atmospheric water vapor vertical column concentration and vertical distribution in Qingdao using multi-axis differential optical absorption spectroscopy

CSTR: 32037.14.aps.69.20200588
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  • 本文研究了多轴差分吸收光谱技术(MAX-DOAS)在可见蓝光波段(434.0—451.5 nm)对大气水汽垂直柱浓度和垂直廓线的反演方法. 首先, 针对水汽吸收峰较窄且较密的问题, 采用和仪器狭缝函数卷积的方法获取适用于MAX-DOAS的水汽吸收参考截面, 并采用修正系数法校正了水汽饱和吸收效应在此波段对反演的影响. 其次, 研究了非线性最优估算法痕量气体廓线反演算法(PriAM算法)中气溶胶状态和先验廓线的线型对水汽反演结果的影响. 结果表明, 气溶胶线型变化对水汽廓线反演结果的影响可忽略, 而高气溶胶状态会使反演结果差异变大, 但均在廓线反演总误差范围内, 这表明, PriAM算法对水汽廓线反演仍具有适用性. 采用该方法在青岛市鳌山区域站开展连续观测实验, 并将观测的水汽垂直柱浓度结果和欧洲中期天气预报中心日均值数据对比, R2 = 0.93; 将反演的水汽廓线近地面浓度与欧洲中期天气预报中心和怀俄明大学探空数据对比, R2分别大于0.70和0.66, 结果表明了PriAM算法对大气水汽廓线反演的准确性较高. 最后, 分析了青岛市水汽垂直分布特征: 青岛市水汽主要分布在1.5 km以下.

     

    The method of retrieving the vertical column density (VCD) and the atmospheric vertical profile of water vapor in visible blue band (434.0–451.5 nm) were studied by using the multi-axis differential optical absorption spectroscopy (MAX-DOAS). First, the method of retrieving the VCD of water vapor was studied. Owing the the fact that the water vapor absorption cross section is of high resolution and it cannot be effectively measured by MAX-DOAS, a convolved cross section with the instrument slit function was used. In addition, the correction factor for water vapor saturation absorption was also used to obtain the true VCD. Second, the water vapor profile retrieved by applying the nonlinear optimal estimation of the trace gas retrieval method (PriAM) was studied, including the effects of aerosol state and the priori profile on the water vapor retrieval. Influence on the water vapor retrieval from the aerosol prior profile linear changes was unapparent. High aerosol state has a significant influence on the water vapor profile retrieval and it was still within the total error tolerance. This indicates that the PriAM is applicable in the water vapor profile retrieval. Using this method, a continuous observation experiment was carried out at the MAX-DOAS Aoshan regional station in Qingdao. The retrieved water vapor VCD results were compared with the daily average data of the European Centre for Medium-Range Weather Forecasts (ECMWF), and the R2 is 0.93. The comparison of the near-surface water vapor concentration of MAX-DOAS retrieval with the ECMWF and sounding data of the University of Wyoming shows that R2 is larger than 0.70 and 0.66, respectively. The two comparison results demonstrate that PriAM can retrieve the atmospheric water vapor VCD and profile accurately. The vertical distribution characteristics of water vapor in Qingdao was analyzed, and the profile results show that the concentration of water vapor in Qingdao was distributed mainly under 1.5 km in height.

     

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