Articles | Volume 25, issue 3
https://doi.org/10.5194/acp-25-1711-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-1711-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies
Qianyi Huo
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Zhicong Yin
CORRESPONDING AUTHOR
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Xiaoqing Ma
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Huijun Wang
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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Cited
13 citations as recorded by crossref.
- The 2025 Extreme Dust Events in China: Evidence, Attribution, and Implications for Regional Air Quality Assessment S. Wang et al. https://doi.org/10.3390/atmos17020213
- Size-resolved fluorescence properties of water-soluble organic carbon in atmospheric aerosols in coastal China S. Zhao & J. Qi https://doi.org/10.1016/j.envpol.2025.126871
- Information Value-Driven Benefit Evaluation Method for Wide-Area Renewable Power Generation System Planning J. Zhang et al. https://doi.org/10.1109/TII.2025.3617333
- Gale weathers at Beijing Capital International Airport: multi-scale temporal variation and synoptic circulation characteristics R. Yuan et al. https://doi.org/10.1088/2515-7620/ae7410
- The impact of terrain-meteorology coupling on transport-retention PM2.5 pollution in Central China based on unmanned aerial vehicle observation H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2025.121598
- Characteristics of vertical structure and intensity of spring Mongolian cyclone J. Wang et al. https://doi.org/10.1007/s00382-025-08012-z
- Theoretical insights into nanoparticle interfaces as dual carrier-reactors: Catalytic amplification of methylsiloxane oxidation and secondary organic aerosol formation S. Cheng et al. https://doi.org/10.1016/j.jhazmat.2025.140798
- Vulnerability characteristics and adaptation strategies of public health systems in different regions of China Y. Teng et al. https://doi.org/10.3389/fpubh.2025.1609377
- 北京沙尘夜间逆温的多体制激光雷达观测 陈. Chen Siying et al. https://doi.org/10.3788/AOS260512
- Increasing dust storms in Mongolia and its association with natural and anthropogenic factors Y. Chen et al. https://doi.org/10.1016/j.jes.2026.05.004
- Application and evaluation of CRACMM v1.0 mechanism in PM2.5 simulation over China Q. Su et al. https://doi.org/10.5194/gmd-19-2531-2026
- Exploring deep learning for seasonal dust prediction S. Du et al. https://doi.org/10.1016/j.atmosenv.2026.121923
- The influence of household head’s skill level and digital agricultural outreach on farmers’ adoption of conservation tillage technology: an empirical study based on northwestern China X. Ding et al. https://doi.org/10.3389/fsufs.2025.1633639
13 citations as recorded by crossref.
- The 2025 Extreme Dust Events in China: Evidence, Attribution, and Implications for Regional Air Quality Assessment S. Wang et al. https://doi.org/10.3390/atmos17020213
- Size-resolved fluorescence properties of water-soluble organic carbon in atmospheric aerosols in coastal China S. Zhao & J. Qi https://doi.org/10.1016/j.envpol.2025.126871
- Information Value-Driven Benefit Evaluation Method for Wide-Area Renewable Power Generation System Planning J. Zhang et al. https://doi.org/10.1109/TII.2025.3617333
- Gale weathers at Beijing Capital International Airport: multi-scale temporal variation and synoptic circulation characteristics R. Yuan et al. https://doi.org/10.1088/2515-7620/ae7410
- The impact of terrain-meteorology coupling on transport-retention PM2.5 pollution in Central China based on unmanned aerial vehicle observation H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2025.121598
- Characteristics of vertical structure and intensity of spring Mongolian cyclone J. Wang et al. https://doi.org/10.1007/s00382-025-08012-z
- Theoretical insights into nanoparticle interfaces as dual carrier-reactors: Catalytic amplification of methylsiloxane oxidation and secondary organic aerosol formation S. Cheng et al. https://doi.org/10.1016/j.jhazmat.2025.140798
- Vulnerability characteristics and adaptation strategies of public health systems in different regions of China Y. Teng et al. https://doi.org/10.3389/fpubh.2025.1609377
- 北京沙尘夜间逆温的多体制激光雷达观测 陈. Chen Siying et al. https://doi.org/10.3788/AOS260512
- Increasing dust storms in Mongolia and its association with natural and anthropogenic factors Y. Chen et al. https://doi.org/10.1016/j.jes.2026.05.004
- Application and evaluation of CRACMM v1.0 mechanism in PM2.5 simulation over China Q. Su et al. https://doi.org/10.5194/gmd-19-2531-2026
- Exploring deep learning for seasonal dust prediction S. Du et al. https://doi.org/10.1016/j.atmosenv.2026.121923
- The influence of household head’s skill level and digital agricultural outreach on farmers’ adoption of conservation tillage technology: an empirical study based on northwestern China X. Ding et al. https://doi.org/10.3389/fsufs.2025.1633639
Saved (final revised paper)
Latest update: 25 Jun 2026
Short summary
Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian cyclone and cold high types depending on the presence of the Mongolian cyclone. The Mongolian cyclone type led to more frequent and severe dust weather, indicated by PM10 concentrations. To comprehensively forecast the two types of dust weather, a common predictor was established based on 500 hPa anomalous circulation systems, offering insights for dust weather forecasting and climate prediction.
Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian...
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