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Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations

机译:OMI气溶胶层高度的空间分布分析:与CALIOP观测结果的逐像素比较

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摘要

A global picture of atmospheric aerosol vertical distribution with a high temporal resolution is of key importance not only for climate, cloud formation and air quality research studies, but also for correcting aerosol radiation effect in absorbing trace gas retrievals from passive satellite sensors. Aerosol layer height (ALH) was retrieved from the OMI 477 nm O−O band and its spatial pattern evaluated over selected cloud-free scenes. Such retrievals benefit from a synergy with MODIS data to provide complementary information on aerosols and cloudy pixels. We used a neural network approach previously trained and developed. Comparison with CALIOP aerosol level 2 products over urban and industrial pollution in east China shows consistent spatial patterns with an uncertainty in the range of 462–648 m. In addition, we show the possibility to determine the height of thick aerosol layers released by intensive biomass burning events in South-America and Russia, and of a Saharan dust outbreak over sea from OMI visible measurements. Complementary detailed analyses show that the assumed aerosol properties in the modeling are the key factors affecting the accuracy of the results, together with potential cloud residuals in the observation pixels. Furthermore, we demonstrate that the physical meaning of the retrieved ALH scalar corresponds to the weighted average of the vertical aerosol extinction profile. These encouraging findings strongly suggest the potential of the OMI ALH product, and in more general the use of the 477 nm O−O band from present and future similar satellite sensors, for climate studies as well as for future aerosol correction in air quality trace gas retrievals.
机译:具有高时间分辨率的大气气溶胶垂直分布的全球图景不仅对于气候,云形成和空气质量研究至关重要,而且对于纠正气溶胶辐射效应以吸收从被动卫星传感器中提取的痕量气体具有至关重要的意义。从OMI 477 nm O-O波段获取气溶胶层高度(ALH),并在选定的无云场景上评估其空间格局。这种检索得益于与MODIS数据的协同作用,可提供有关气溶胶和浑浊像素的补充信息。我们使用了以前训练和开发的神经网络方法。与华东地区城市和工业污染下的CALIOP 2级气溶胶产品的比较显示出一致的空间格局,不确定性在462–648 m范围内。此外,我们展示了通过OMI可见测量来确定南美和俄罗斯密集的生物质燃烧事件释放的浓厚气溶胶层高度以及海上撒哈拉沙尘暴爆发的高度。补充的详细分析表明,建模中假定的气溶胶特性是影响结果准确性的关键因素,同时也是观测像素中潜在的云残留。此外,我们证明了检索到的ALH标量的物理含义对应于垂直气溶胶消光曲线的加权平均值。这些令人鼓舞的发现有力地表明了OMI ALH产品的潜力,并且更广泛地使用了目前和未来类似卫星传感器的477 nm O-O波段,用于气候研究以及未来对空气质量微量气体的气溶胶校正检索。

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