东亚沙尘分布、源汇及输送特征的模拟研究
[Abstract]:Using the global aerosol model (GOCART) simulation results, the spatial and temporal distribution, emission and deposition of dust aerosols in East Asia and the characteristics of regional transport are discussed. The results show that the sand source in China is mainly located in Taklimakan Desert, Hexi Corridor and Hetao area. The emission intensity was the largest in spring, gradually decreased in summer and autumn, and the weakest in winter, and the intensity decreased year by year. The average annual emission in the region was 581Tg / a. The simulated optical thickness of sand dust (AOD) is in good agreement with satellite observation. The AOD of Taklimakan desert is closely related to the sandstorm activity, and its occurrence time is the earliest and the duration is the longest. On the regional average, dry deposition and wet deposition can eliminate 77% and 22% of dust emissions respectively, among which dry deposition plays a leading role in the source area, far from the source region of the northeast and northwest Pacific Ocean, wet deposition is more important. Dust particles are moved out mainly by gravity dry deposition, while wet deposition contributes more than 60% to small particles. Gravity dry deposition plays a leading role throughout the year (especially in spring), and the effect of convective precipitation and wet deposition increases significantly in summer, and generally, the total rate of dust deposition decreases year by year. East Asian dust aerosols are transported from west to east through three conveyors, which can affect North, Central and South China of China. The study on divergence shows that the aerosol advection term has a great effect on aerosol divergence in the source area of sand dust, and dust emission has a significant effect on dust transport and AOD.The west side of Tarim Basin is caused by convergence and divergence term of wind field. It shows that topography and wind field are very important for dust transport and AOD in this area.
【作者单位】: 南京信息工程大学中国气象局气溶胶与云降水重点开放实验室;江苏省气候中心;南京信息工程大学气象灾害预报预警与评估协同创新中心;中国气象局广州热带海洋气象研究所;
【基金】:国家自然科学基金资助项目(91337101,41590873,41505052)
【分类号】:X513
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