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.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-22-6393-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Inverse modeling of the 2021 spring super dust storms in East Asia
Jianbing Jin
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Mijie Pang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Arjo Segers
TNO, Department of Climate, Air and Sustainability, Utrecht, the Netherlands
Numerical Weather Prediction Center, Chinese Meteorological Administration, Beijing, China
Li Fang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Baojie Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Haochuan Feng
Department of Sediment Research, China Institute of Water Resources and Hydropower Research, Beijing, China
Hai Xiang Lin
Delft Institute of Applied Mathematics, Delft University of Technology, Delft, the Netherlands
Hong Liao
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
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- 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals J. Jin et al. 10.1088/1748-9326/acb835
- Distribution, Transport, and Impact on Air Quality of Two Typical Dust Events in China in 2021 Q. Ye & X. Zheng 10.3390/atmos14030432
- The effect of COVID-19 epidemic and sandstorm on distribution of short-, medium-, and long-chain chlorinated paraffins in outdoor atmosphere of Xi'an, Northwest China X. Liu et al. 10.1016/j.atmosenv.2024.120810
- Mega Asian dust event over China on 27–31 March 2021 observed with space-borne instruments and ground-based polarization lidar Y. He et al. 10.1016/j.atmosenv.2022.119238
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- Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter M. Pang et al. 10.1016/j.atmosenv.2023.119831
- Trans-Boundary Dust Transport of Dust Storms in Northern China: A Study Utilizing Ground-Based Lidar Network and CALIPSO Satellite Z. Zhang et al. 10.3390/rs16071196
- Dust event identification and characterization with one-year online observations in Beijing F. Zheng et al. 10.1016/j.scitotenv.2024.177296
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- Characteristics of PM2.5 bounded carbonaceous aerosols, carbon dioxide and its stable carbon isotopes (δ13C) in rural households in northwest China: Effect of different fuel combustion X. Liu et al. 10.1016/j.jenvman.2024.121004
- Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
Latest update: 20 Nov 2024
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.
Super dust storms reappeared in East Asia last spring after being absent for one and a half...
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