气候变化领域集成服务门户(CCPortal): Inverse modeling of the 2021 spring super dust storms in East Asia

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DOI	10.5194/acp-22-6393-2022
	Inverse modeling of the 2021 spring super dust storms in East Asia
	Jin, Jianbing; Pang, Mijie; Segers, Arjo; Han, Wei; Fang, Li; Li, Baojie; Feng, Haochuan; Lin, Hai Xiang; Liao, Hong
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	6393
结束页码	6410
卷号	22 期号:10 页码:18
英文摘要	Last spring, super dust storms reappeared in East Asia after being absent for one and a half decades. The event caused enormous losses in both Mongolia and China. Accurate simulation of such super sandstorms is valuable for the quantification of health damage, aviation risks, and profound impacts on the Earth system, but also to reveal the climatic driving force and the process of desertification. However, accurate simulation of dust life cycles is challenging, mainly due to imperfect knowledge of emissions. In this study, the emissions that lead to the 2021 spring dust storms are estimated through assimilation of MODIS AOD and ground-based PM1() concentration data simultaneously. With this, the dust concentrations during these super storms could be reproduced and validated with concentration observations. The multi-observation assimilation is also compared against emission inversion that assimilates AOD or PAU) concentration measurements alone, and the added values are analyzed. The emission inversion results reveal that wind-blown dust emissions originated from both China and Mongolia during spring 2021. Specifically, 19.9 x 10(6) and 37.5 x 10(6) t of particles were released in the Chinese and Mongolian Gobi, respectively, during these severe dust events. By source apportionment it was revealed that the Mongolian Gobi poses more severe threats to the densely populated regions of the Fenwei Plain (FWP) and the North China Plain (NCP) located in northern China than does the Chinese Gobi. It was estimated that 63 % of the dust deposited in FWP was due to transnational transport from Mongolia. For NCP, the long-distance transport dust from Mongolia contributes about 69 % to the dust deposition.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000796921600001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273302
作者单位	Nanjing University of Information Science & Technology; Netherlands Organization Applied Science Research; China Meteorological Administration; China Institute of Water Resources & Hydropower Research; Delft University of Technology
推荐引用方式 GB/T 7714	Jin, Jianbing,Pang, Mijie,Segers, Arjo,et al. Inverse modeling of the 2021 spring super dust storms in East Asia[J],2022,22(10):18.
APA	Jin, Jianbing.,Pang, Mijie.,Segers, Arjo.,Han, Wei.,Fang, Li.,...&Liao, Hong.(2022).Inverse modeling of the 2021 spring super dust storms in East Asia.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(10),18.
MLA	Jin, Jianbing,et al."Inverse modeling of the 2021 spring super dust storms in East Asia".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.10(2022):18.