Is the efficacy of satellite-based inversion of SO2 emission model dependent?
Is the efficacy of satellite-based inversion of SO2 emission model dependent?
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DOI：
10.1088/1748-9326/abe829
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发表时间：
2021-02
影响因子：
6.7
通讯作者：
Nan Li;Keqin Tang;Yi Wang;Jun Wang;Weihang Feng;Haoran Zhang;H. Liao;Jianlin Hu;Xinghua Long;C. Shi;X. Su
中科院分区：
文献类型：
--
作者：
Nan Li;Keqin Tang;Yi Wang;Jun Wang;Weihang Feng;Haoran Zhang;H. Liao;Jianlin Hu;Xinghua Long;C. Shi;X. Su
基于卫星的逆模拟有可能推动气溶胶前体排放，但其改善化学输送模式(CTMS)的有效性仍然难以捉摸，因为它可能固有地依赖于用于反演的特定CTM的误差特征。本文使用三种CTMS对这一问题进行了定量评估。结果表明，来自全球GEOS-Chem伴随模式和OMI SO2资料的SO2排放与自下而上排放的空间变化相结合，可以显著改善中国地区SO2和气溶胶光学厚度(参考中分辨率成像光谱仪资料)的WRF-Chem和WRF-CMAQ预报。这表明，对于使用相似或相同排放清单的CTMS来说，基于卫星的SO2排放倒置的效果似乎很高。随着未来3年地球静止空气质量监测卫星的到来，本研究认为，使用自上而下的方法快速更新排放量的时代正在出现，用于区域空气质量预报，特别是在排放量变化很大的亚洲地区。
Satellite-based inverse modeling has the potential to drive aerosol precursor emissions, but its efficacy for improving chemistry transport models (CTMs) remains elusive because of its likely inherent dependence on the error characteristics of a specific CTM used for the inversion. This issue is quantitively assessed here by using three CTMs. We show that SO2 emissions from global GEOS-Chem adjoint model and OMI SO2 data, when combined with spatial variation of bottom-up emissions, can largely improve WRF-Chem and WRF-CMAQ forecast of SO2 and aerosol optical depth (in reference to moderate resolution imaging spectroradiometer data) in China. This suggests that the efficacy of satellite-based inversion of SO2 emission appears to be high for CTMs that use similar or identical emission inventories. With the advent of geostationary air quality monitoring satellites in next 3 years, this study argues that an era of using top-down approach to rapidly update emission is emerging for regional air quality forecast, especially over Asia having highly varying emissions.