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.
Research article
| 
18 May 2022
Research article |
| 18 May 2022
| 18 May 2022
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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- A Study of a Severe Spring Dust Event in 2021 over East Asia with WRF-Chem and Multiple Platforms of Observations W. Tang et al. 10.3390/rs14153795
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27 citations as recorded by crossref.
- Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9 Y. Cheng et al. 10.1016/j.scitotenv.2024.171541
- Analysis of the Severe Dust Process and Its Impact on Air Quality in Northern China X. Liu et al. 10.3390/atmos14071071
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- Source contributions to two super dust storms over Northern China in March 2021 and the impact of soil moisture H. Kang et al. 10.1016/j.scitotenv.2024.175289
- How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. 10.5194/acp-23-1641-2023
- The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China T. Li et al. 10.3390/atmos15030282
- Single particle characteristics and ice nucleation potential of particles collected during Asian dust storms in 2021 L. Zhao et al. 10.1016/j.scitotenv.2024.174829
- Influence of an abnormally cold stratospheric polar vortex on the sub-regional PM2.5 anomaly in East Asia in March of 2021 J. Cho & H. Kim 10.1038/s41612-024-00850-8
- 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
- Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting M. Pang et al. 10.5194/gmd-17-8223-2024
- East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al. 10.1016/j.atmosenv.2025.121152
- Environmental impacts of three Asian dust events in the northern China and the northwestern Pacific in spring 2021 T. Zhang et al. 10.1016/j.scitotenv.2022.160230
- The transboundary contribution of PM10 in Korea depended on the dipole surface temperature pattern in the East Asian region during April of 2021 J. Cho & H. Kim 10.1016/j.atmosres.2023.107149
- Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter M. Pang et al. 10.1016/j.atmosenv.2023.119831
- Record-breaking dust loading during two mega dust storm events over northern China in March 2021: aerosol optical and radiative properties and meteorological drivers K. Gui et al. 10.5194/acp-22-7905-2022
- 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
- Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model S. Mei et al. 10.3390/rs16111852
- 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
- Oxidative potential and persistent free radicals in dust storm particles and their associations with hospitalization L. Qin et al. 10.1038/s41467-024-55151-8
- Expanding the simulation of East Asian super dust storms: physical transport mechanisms impacting the western Pacific S. Kong et al. 10.5194/acp-24-1041-2024
- Multi-timescale variation characteristics of PM2.5 in different regions of China during 2014–2022 R. Liu et al. 10.1016/j.scitotenv.2024.171008
- 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
- On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al. 10.3390/atmos14091348
- 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
Latest update: 12 Mar 2025
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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