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Influence of low spatial resolution a priori data on tropospheric NOsub2/sub satellite retrievals

机译：低空间分辨率的先验数据对对流层NO 2 卫星反演的影响

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摘要

The retrieval of tropospheric columns of NO2 and other trace gases fromsatellite observations of backscattered solar radiation relies on the use ofaccurate a priori information. The spatial resolution of current spacesensors is often significantly higher than that of the a priori datasetsused, introducing uncertainties from spatial misrepresentation. In thisstudy, the effect of spatial under-sampling of a priori data on theretrieval of NO2 columns was studied for a typical coastal area (aroundSan Francisco). High-resolution (15 × 15 km2) NO2 a priori datafrom the WRF-Chem model in combination with high-resolution MODIS surfacereflectance and aerosol data were used to investigate the uncertaintyintroduced by applying a priori data at typical global chemical transportmodel resolution. The results show that the relative uncertainties can belarge (more than a factor of 2 if all a priori data used is at the coarsestresolution) for individual measurements, mainly due to spatial variations inNO2 profile and surface albedo, with smaller contributions fromaerosols and surface height changes. Similar sensitivities are expected forother coastal regions and localised sources such as power plants,highlighting the need for high-resolution a priori data in quantitativeanalysis of the spatial patterns retrieved from satellite observations oftropospheric pollution.
机译：从反散射太阳辐射的卫星观测中获取对流层NO 2 和其他痕量气体的方法依赖于使用准确的先验信息。当前空间传感器的空间分辨率通常明显高于所使用的先验数据集的空间分辨率，从而引入了空间错误表示带来的不确定性。在本研究中，研究了典型沿海地区（旧金山附近）先验数据的空间欠采样对NO 2 列的取反的影响。利用WRF-Chem模型的高分辨率（15×15 km 2 ）NO 2 先验数据，结合高分辨率MODIS表面反射率和气溶胶数据，研究了通过在典型的全球化学传输模型分辨率下应用先验数据引入不确定性。结果表明，对于单个测量而言，相对不确定度可能较大（如果使用的所有先验数据均以最粗糙的分辨率，则不确定度会大于2），这主要是由于NO 2 剖面和表面反照率的空间变化所致，气溶胶和表面高度变化的贡献较小。预计对其他沿海地区和电厂等局部来源也将具有类似的敏感性，这突出了对从对流层污染的卫星观测获得的空间模式进行定量分析时需要高分辨率的先验数据的需求。

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