Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11173-2022
https://doi.org/10.5194/acp-22-11173-2022
Research article
 | 
01 Sep 2022
Research article |  | 01 Sep 2022

Predicting gridded winter PM2.5 concentration in the east of China

Zhicong Yin, Mingkeng Duan, Yuyan Li, Tianbao Xu, and Huijun Wang

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Cited articles

An, J., Chen, Y., Qu, Y., Chen, Q., Zhuang, B., Zhang, P., and Wu, Q.: An online-coupled unified air quality forecasting model system, China, Adv. Earth Sci., 33, 445–454, https://doi.org/10.11867/j.issn.1001-8166.2018.05.0445, 2018. 
Chang, L., Wu, Z., and Xu, J.: Contribution of Northeastern Asian stratospheric warming to subseasonal prediction of the early winter haze pollution in Sichuan Basin, China, Sci. Total Environ., 751, 141823, https://doi.org/10.1016/j.scitotenv.2020.141823, 2021. 
Cheng, X. G., Boiyo, R., Zhao, T. L., Xu, X. D., Gong, S. L., Xie, X. N., and Shang, K.: Climate modulation of Niño3.4 SST-anomalies on air quality change in southern China: Application to seasonal forecast of haze pollution, Atmos. Res., 225, 157–164, https://doi.org/10.1016/j.atmosres.2019.04.002, 2019. 
CNEMC: PM2.5 monitoring network [data set], https://www.aqistudy.cn/historydata/, last access: 19 August 2022. 
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Short summary
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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