Sulfur dioxide vertical column DOAS retrievals from the Ozone Monitoring Instrument: Global observations and comparison to ground-based and satellite data
Sulfur dioxide vertical column DOAS retrievals from the Ozone Monitoring Instrument: Global observations and comparison to ground-based and satellite data
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DOI：
10.1002/2014jd022657
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发表时间：
2015-03-27
影响因子：
4.4
通讯作者：
Van Roozendael, M.
中科院分区：
文献类型：
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作者：
Theys, N.;De Smedt, I.;Van Roozendael, M.
我们提出了2004年至2013年间臭氧监测仪器（OMI）/AURA仪器观测的二氧化硫（SO2）垂直柱的新数据集。所使用的反演算法是先进的差分吸收光谱（DOAS）方案与辐射传输计算相结合。它是为即将到来的对流层监测仪器/Sentinel 5 Precursor 任务的 SO2 数据产品的操作处理做准备而开发的。我们使用从其他卫星检索（例如红外大气探测干涉仪和 OMI（线性拟合和主成分分析算法））推断出的结果来评估 SO2 柱结果。对于火山和人为二氧化硫排放情景，不同数据集之间普遍存在良好的一致性。我们表明，我们的算法产生低噪声的 SO2 柱，并且能够提供 SO2 的准确估计。这一结论得到了香河（中国）重污染场地的重要验证结果的支持。对近4年的OMI和地面多轴DOAS SO2柱进行了比较，发现非常匹配。我们还强调了该算法通过检测长期平均数据中的运输二氧化硫排放量（一种未报告的太空测量）来捕获弱二氧化硫源的改进性能。
We present a new data set of sulfur dioxide (SO2) vertical columns from observations of the Ozone Monitoring Instrument (OMI)/AURA instrument between 2004 and 2013. The retrieval algorithm used is an advanced Differential Optical Absorption Spectroscopy (DOAS) scheme combined with radiative transfer calculation. It is developed in preparation for the operational processing of SO2 data product for the upcoming TROPOspheric Monitoring Instrument/Sentinel 5 Precursor mission. We evaluate the SO2 column results with those inferred from other satellite retrievals such as Infrared Atmospheric Sounding Interferometer and OMI (Linear Fit and Principal Component Analysis algorithms). A general good agreement between the different data sets is found for both volcanic and anthropogenic SO2 emission scenarios. We show that our algorithm produces SO2 columns with low noise and is able to provide accurate estimates of SO2. This conclusion is supported by important validation results over the heavily polluted site of Xianghe (China). Nearly 4years of OMI and ground-based multiaxis DOAS SO2 columns are compared, and an excellent match is found. We also highlight the improved performance of the algorithm in capturing weak SO2 sources by detecting shipping SO2 emissions in long-term averaged data, an unreported measurement from space.