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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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Winter extreme rainfall causes severe floods. Its link to the stratospheric polar vortex was thought weak. We found this hidden link is unlocked by a tropical oscillation. When the vortex shifts toward Eurasia, it amplifies rainfall only during certain phases. Two routes act: the vortex lifts warm moist air and strengthens tropical moisture supply. Climate models show capturing this tropical pathway is key. Joint monitoring of the vortex and oscillation may improve predictions.
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The PM2.5 concentration has been greatly reduced in recent years in China and has entered a crucial stage that required fine seasonal prediction. However, there is still no study aimed at predicting gridded PM2.5 concentration. A model for seasonal prediction of gridded winter PM2.5 concentration in the east of China was developed by analyzing the contributions of emissions and climate variability, which could provide scientific support for air pollution control at the regional and city levels.
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Severe ozone pollution frequently occurred in the east of China and obviously damages human health. The meteorological conditions effectively affect the variations in ozone pollution by modulating the natural emissions of ozone precursors and photochemical reactions in the atmosphere. In this study, a south–north dipole pattern of summer-mean ozone concentration in the east of China was identified, and its connections with preceding climate variability at different latitudes were also examined.
Shiyue Zhang, Gang Zeng, Xiaoye Yang, Ruixi Wu, and Zhicong Yin
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This study classified the winter cold surge in eastern China into blocking cold surge and wave-train cold surge and investigated the difference of haze dispersion ability between the two types. The results show that the haze dispersion of blocking cold surge is weaker than that of wave-train cold surge. In the past 4 decades, the frequency of wave-train (blocking) cold surge shows a downward (upward) trend, which means that the ability of cold surge to disperse haze is declining.
Cited articles
Ahmadzai, H., Malhotra, A., and Tutundjian, S.: Assessing the impact of sand and dust storm on agriculture: Empirical evidence from Mongolia, PLoS One, 18, e0269271, https://doi.org/10.1371/journal.pone.0269271, 2023.
Bueh, C., Zhuge, A., Xie, Z., Yong, M., and Purevjav, G.: The development of a powerful Mongolian cyclone on 14–15 March 2021: Eddy energy analysis, Atmos. Ocean. Sci. Lett., 15, 100259, https://doi.org/10.1016/j.aosl.2022.100259, 2022.
Chen, S. Y., Zhao, D., Huang, J. P., He, J. Q., Chen, Y., Chen, J. Y., Bi, H. R., Lou, G. T., Du, S. K., Zhang, Y., and Yang, F.: Mongolia Contributed More than 42 % of the Dust Concentrations in Northern China in March and April 2023, Adv. Atmos. Sci., 40, 1549–1557, https://doi.org/10.1007/s00376-023-3062-1, 2023a.
Chen, Y., Chen, S. Y., Zhou, J., Zhao, D., Bi, H. R., Zhang, Y., Alam, K., Yu, H. P., Yang, Y. X., and Chen, J. Y.: A super dust storm enhanced by radiative feedback, NPJ Clim. Atmos. Sci., 6, 90, https://doi.org/10.1038/s41612-023-00418-y, 2023b.
China National Environmental Monitoring Centre: Hourly PM10 concentration data, China National Environmental Monitoring Centre [data set], https://quotsoft.net/air/ (last access: 6 April 2024), 2024.
Copernicus Climate Change Service, Climate Data Store: Seasonal forecast subdaily data on pressure levels. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.50ed0a73, 2018a.
Copernicus Climate Change Service, Climate Data Store: Seasonal forecast daily and subdaily data on single levels. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.181d637e, 2018b.
Dulam, J., Shinoda, M., Kimura, R., Batbold, A., and Amarjargal, D.: Quantitative Analysis on Windblown Dust Concentrations of PM10 (PM2.5) during Dust Events in Mongolia, Aeolian Res., 14, 3–13, https://doi.org/10.1016/j.aeolia.2014.04.005, 2014.
Gao, J., Ding, T., and Gao, H.: Dominant circulation pattern and moving path of the Mongolian Cyclone for the severe sand and dust storm in China, Atmos. Res., 301, 107272, https://doi.org/10.1016/j.atmosres.2024.107272, 2024.
Garratt J. R.: The Atmospheric Boundary Layer, Cambridge University Press, Cambridge, ISBN 0521467454, 1992.
Gui, K., Yao, W., Che, H., An, L., Zheng, Y., Li, L., Zhao, H., Zhang, L., Zhong, J., Wang, Y., and Zhang, X.: Record-breaking dust loading during two mega dust storm events over northern China in March 2021: aerosol optical and radiative properties and meteorological drivers, Atmos. Chem. Phys., 22, 7905–7932, https://doi.org/10.5194/acp-22-7905-2022, 2022.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2023a.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023b.
Huang, J. P., Wang, T. H., Wang, W. C., Li, Z. Q., and Yan, H. R.: Climate effects of dust aerosols over East Asian arid and semiarid regions, J. Geophys. Res.-Atmos., 119, 11398–11416, https://doi.org/10.1002/2014JD021796, 2014.
Krasnov, H., Katra, I., and Friger, M.: Increase in dust storm related PM10 concentrations: A time series analysis of 2001–2015, Environ. Pollut., 213, 36–42, https://doi.org/10.1016/j.envpol.2015.10.021, 2016.
Li, J. D., Hao, X., Liao, H., Yue, X., Li, H., Long, X., and Li, N: Predominant type of dust storms that influences air quality over northern China and future projections, Earths Future, 10, e2022EF002649, https://doi.org/10.1029/2022EF002649, 2022.
Liu, J., Qian, Z., Jiang, X., and Zheng M.: A Study on Weather Types of Super Severe Dust Storms in North China, Plateau Meteor., 23, 540–547, 2004 (in Chinese).
Liu, S. K. and Liu, S. D.: Atmospheric dynamics, 2nd edn., Peking University Press, Beijing, China, 143–147, ISBN 9787301161586, 2011.
Lwin, K. S., Tobias, A., Chua, P. L., Yuan, L., Thawonmas, R., Ith, S., Htay, Z. W., Yu, L. S., Yamasaki, L., Roqué, M., Querol, X., Fussell, J. C., Nadeau, K. C., Stafoggia, M., Saliba, N. A., Sheng Ng, C. F., and Hashizume, M.: Effects of Desert Dust and Sandstorms on Human Health: A Scoping Review, GeoHealth, 7, e2022GH000728, https://doi.org/10.1029/2022GH000728, 2023.
Mu, F., Luiz, E. W., and Fiedler, S.: On the dynamics and air-quality impact of the exceptional East Asian dust outbreak in mid-March 2021, Atmos. Res., 292, 106846, https://doi.org/10.1016/j.atmosres.2023.106846, 2023.
Qian, W. H., Quan, L. S., and Shi, S. Y.: Variations of the Dust Storm in China and its Climatic Control, J. Climate, 15, 1216–1229, https://doi.org/10.1175/1520-0442(2002)015<1216:VOTDSI>2.0.CO;2, 2002.
Shao, Y. P.: Physics and Modelling of Wind Erosion, 2nd edn., Springer Dordrecht, 456 pp., https://doi.org/10.1007/978-1-4020-8895-7, 2008.
Shou, S. W.: Synoptic Analysis, China Meteorological Press, Beijing, 361 pp., ISBN 9787502934576, 2006 (in Chinese).
Sugimoto, N., Shimizu, A., Matsui, I., and Nishikawa, M.: A method for estimating the fraction of mineral dust in particulate matter using PM2.5-to-PM10 ratios, Particuology, 28, 114–120, https://doi.org/10.1016/j.partic.2015.09.005, 2016.
Takemi, T. and Seino, N.: Dust storms and cyclone tracks over the arid regions in east Asia in spring, J. Geophys. Res., 110, D18S11, https://doi.org/10.1029/2004JD004698, 2005.
Tian, Y., Pan, X. L., Jing, Y. J., Zhang, Y. T., Yao, W. J., Liu, H., Lei, S. D., and Wang, Z. F.: East Asia dust storms in spring 2021: Transport mechanisms and impacts on China, Atmos. Res., 290, 106773, https://doi.org/10.1016/j.atmosres.2023.106773, 2023.
Vermote, E.: NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI), Version 5, NOAA National Centers for Environmental Information [data set], https://doi.org/10.7289/V5ZG6QH9, 2019.
Wan, B., Kang, X., Zhang, J., Tong, Y., Tang, G., and Li, X.: Research on classification of dust and sand storm basic on particular concentration, Environ. Monit. China, 20, 8–11, https://doi.org/10.3969/j.issn.1002-6002.2004.03.003, 2004 (in Chinese).
Wang, S., Yu, Y., Zhang, X. X., Lu, H., Zhang, X. Y., and Xu, Z.: Weakened dust activity over China and Mongolia from 2001 to 2020 associated with climate change and land-use management, Environ. Res. Lett., 16, 124056, https://doi.org/10.1088/1748-9326/ac3b79, 2021.
Wang, Y. Q., Zhang, X. Y., Gong, S. L., Zhou, C. H., Hu, X. Q., Liu, H. L., Niu, T., and Yang, Y. Q.: Surface observation of sand and dust storm in East Asia and its application in CUACE/Dust, Atmos. Chem. Phys., 8, 545–553, https://doi.org/10.5194/acp-8-545-2008, 2008.
Wang, Y. Q., Zhang, X. Y., Sun, J. Y., Zhang, X. C., Che, H. Z., and Li, Y.: Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China, Atmos. Chem. Phys., 15, 13585–13598, https://doi.org/10.5194/acp-15-13585-2015, 2015.
Wiggs, G. F. S.: Sediment Mobilisation by the Wind, In Arid Zone Geomorphology: Process, Form and Change in Drylands, 3rd edn., edited by: Thomas, D. S. G., Wiley, 455–486, https://doi.org/10.1002/9780470710777, 2011.
Wu, C. L., Lin, Z. H., He, J. X., Zhang, M. H., Liu, X. H., Zhang, R. J., and Brown, H.: A process-oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia, J. Adv. Model. Earth Syst., 8, 1432–1452, https://doi.org/10.1002/2016MS000723, 2016.
Wu, J., Li, C., Zhu, X. W., Qiu, Y. L., Tang, Y. X., and Ma, X. H.: Comparative analysis of meteorological factors and sand source conditions in sand and dust weather events in northern China during the spring of 2021 and 2022, Trans. Atmos. Sci., 46, 950–960, https://doi.org/10.13878/j.cnki.dqkxxb.20230313001, 2023 (in Chinese).
Yi, Z., Wang, Y., Chen, W., Guo, B., Zhang, B., Che, H., and Zhang, X.: Classification of the Circulation Patterns Related to Strong Dust Weather in China Using a Combination of the Lamb–Jenkinson and k-Means Clustering Methods, Atmosphere, 12, 1545, https://doi.org/10.3390/atmos12121545, 2021.
Yin, Z. C., Wan, Y., Zhang, Y. J., and Wang, H. J.: Why super sandstorm 2021 in North China?, Natl. Sci. Rev., 9, nwab165, https://doi.org/10.1093/nsr/nwab165, 2022.
Yin, Z. C., Huo, Q. Y., Ma, X. Q., Zhang, Y. J., Ma, X. H., and Wang., H. J.: Mechanisms of dust source accumulation and synoptic disturbance triggering the 2023 spring sandstorm in northern China, Trans. Atmos. Sci., 46, 321–331, https://doi.org/10.13878/j.cnki.dqkxxb.20230501007, 2023a (in Chinese).
Yin, Z. C., Zhou, B. T., Duan, M. K., Chen, H. S., and Wang, H. J.: Climate extremes become increasingly fierce in China, Innovation, 4, 100406, https://doi.org/10.1016/j.xinn.2023.100406, 2023b.
Yun, J., Jiang, X., Meng, X., Wu, X., and Ying, C.: Comparative Analyses on Some Statistic Characteristics between Cold Front and Mongolian Cyclone Duststorm Processes, Plateau Meteor., 32, 423–434, http://www.gyqx.ac.cn/CN/10.7522/j.issn.1000-0534.2012.00041 (last access: 6 February 2025), 2013 (in Chinese).
Zhang, L., Fan, F., Wu, H., Zou, Y., Zhou, Z., Zhang, X., and Gao, S.: Diagnosis of sandstorm weather process and analysis of sand pollution transportation in northern China from 14th to 16th, March 2021, Acta Scientiae Circumstantiae, 42, 1–13, https://doi.org/10.13671/j.hjkxxb.2021.0452, 2022 (in Chinese).
Zhang, X. X., Lei, J. Q., Wu, S. X., Li, S. Y., Liu, L. Y., Wang, Z. F., Huang, S. Y., Guo, Y. H., Wang, Y. D., Tang, X., and Zhou, J.: Spatiotemporal evolution of aeolian dust in China: An insight into the synoptic records of 1984–2020 and nationwide practices to combat desertification, Land. Degrad. Dev., 34, 2005–2023, https://doi.org/10.1002/ldr.4585, 2023.
Zhang, Z. H. and Huisingh, D.: Combating desertification in China: Monitoring, control, management and revegetation, J. Clean. Prod., 182, 765–775, https://doi.org/10.1016/j.jclepro.2018.01.233, 2018.
Zhao, D., Chen, S. Y., and Chen, Y.: Comparative analysis of two typical dust storm processes over East Asia, J. Lanzhou Univ. Nat. Sci., 58, 313–322, https://doi.org/10.13885/j.issn.0455-2059.2022.03.005, 2022 (in Chinese).
Zhong, W., Yin, Z., and Wang, H.: The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region, Atmos. Chem. Phys., 19, 5941–5957, https://doi.org/10.5194/acp-19-5941-2019, 2019.
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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