MODIS AOT Based Inverse Modeling for Asian Dust
MODIS AOT Based Inverse Modeling for Asian Dust
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DOI：
10.2151/sola.2008-023
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发表时间：
2008
期刊：
影响因子：
1.9
通讯作者：
K. Yumimoto;I. Uno;N. Sugimoto;A. Shimizu
中科院分区：
文献类型：
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作者：
K. Yumimoto;I. Uno;N. Sugimoto;A. Shimizu
利用MODIS粗模气溶胶光学厚度(AOT)和区域伴随沙尘模式对亚洲沙尘进行了逆模拟。后验AOT与MODIS AOT和OMI气溶胶指数(AI)有较好的一致性。NIES激光雷达网络的独立验证表明，反演结果显著改善，首尔、松江和富山的差值均方根值降低了29-32%。逆温结果显示，戈壁沙漠和蒙古的沙尘排放量要大得多。特别是，最优排放量在3月29日估计为8.1Tg(先验值的352%)，在3月30日估计为19.5Tg(325%)。与NIES激光雷达反演结果的比较(Yumimoto等人(2008)显示了与我们的后验尘埃排放的一致性，这突显了利用卫星光学观测进行尘埃反演的可行性，并鼓励同时同化激光雷达消光系数(垂直剖面)和MODIS AOT(水平分布)的组合反演。然而，后验结果可能反映了来自高度工业化地区的空气污染物的影响，这可能会污染同化结果。在今后的研究中，有必要对数据同化的输入进行进一步的质量控制。
Inverse modeling of Asian dust was performed using MODIS coarse-mode aerosol optical thickness (AOT) and a regional adjoint dust model. The a posteriori AOT shows better agreement with the MODIS AOT and OMI Aerosol index (AI). Independent validation with the NIES Lidar network shows that the inversion leads to a significant improvement and reduces root mean squares of differences by 29-32% at Seoul, Matsue, and Toyama. The inversion results show considerably greater dust emissions over the Gobi Desert and Mongolia. Especially, optimized emissions are estimated as 8.1 Tg (352% of the a priori) for 29 March and 19.5 Tg (325%) for 30 March. Comparison with inversion results using NIES Lidar (Yumimoto et al. 2008) shows consistency with our a posteriori dust emissions which underscores the feasibility of dust inversion with satellite optical observations, and encourages combined inversion that assimilates the Lidar extinction coefficient (vertical profiles) and MODIS AOT (horizontal distribution) concurrently. However, the a posteriori results might reflect effects of air pollutants from highly industrialized regions, which might contaminate the assimilated results. Further quality control of the input for the data assimilation is necessary in future studies.