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

doi:https://doi.org/10.5194/acp-22-6393-2022

Articles | Volume 22, issue 10

https://doi.org/10.5194/acp-22-6393-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Dust aerosol measurements, modeling and multidisciplinary...

https://doi.org/10.5194/acp-22-6393-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 10

Research article

|

18 May 2022

Research article |

| 18 May 2022

Inverse modeling of the 2021 spring super dust storms in East Asia

Jianbing Jin, Mijie Pang, Arjo Segers, Wei Han, Li Fang, Baojie Li, Haochuan Feng, Hai Xiang Lin, and Hong Liao

Supplement

https://doi.org/10.5194/acp-22-6393-2022-supplement

Data sets

ground-based air quality measurements during the 2021 spring super dust storms Jianbing Jin https://doi.org/10.5281/zenodo.6459866

Ground-based air quality monitoring measurements China Ministry of Environmental Protection http://106.37.208.233:20035/

MODIS Data Collection NASA https://ladsweb.modaps.eosdis.nasa.gov/

Model code and software

LOTOS-EUROS source code TNO https://lotos-euros.tno.nl

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Short summary

Super dust storms reappeared in East Asia last spring after being absent for one and a half decades. Accurate simulation of such super sandstorms is valuable, but challenging due to imperfect emissions. In this study, the emissions of these dust storms are estimated by assimilating multiple observations. The results reveal that emissions originated from both China and Mongolia. However, for northern China, long-distance transport from Mongolia contributes much more dust than Chinese deserts.