Articles | Volume 21, issue 18
https://doi.org/10.5194/acp-21-14131-2021
https://doi.org/10.5194/acp-21-14131-2021
Research article
 | 
23 Sep 2021
Research article |  | 23 Sep 2021

“Warm cover”: precursory strong signals for haze pollution hidden in the middle troposphere

Xiangde Xu, Wenyue Cai, Tianliang Zhao, Xinfa Qiu, Wenhui Zhu, Chan Sun, Peng Yan, Chunzhu Wang, and Fei Ge

Related authors

Role of the Indian Ocean basin mode in driving the interdecadal variations of summer precipitation over the East Asian monsoon boundary zone
Jing Wang, Yanju Liu, Fei Cheng, Chengyu Song, Qiaoping Li, Yihui Ding, and Xiangde Xu
Atmos. Chem. Phys., 24, 5099–5115, https://doi.org/10.5194/acp-24-5099-2024,https://doi.org/10.5194/acp-24-5099-2024, 2024
Short summary
Mobile MAX-DOAS observations of tropospheric NO2 and HCHO during summer over the Three Rivers' Source region in China
Siyang Cheng, Xinghong Cheng, Jianzhong Ma, Xiangde Xu, Wenqian Zhang, Jinguang Lv, Gang Bai, Bing Chen, Siying Ma, Steffen Ziegler, Sebastian Donner, and Thomas Wagner
Atmos. Chem. Phys., 23, 3655–3677, https://doi.org/10.5194/acp-23-3655-2023,https://doi.org/10.5194/acp-23-3655-2023, 2023
Short summary
Triggering effects of large topography and boundary layer turbulence on convection over the Tibetan Plateau
Xiangde Xu, Yi Tang, Yinjun Wang, Hongshen Zhang, Ruixia Liu, and Mingyu Zhou
Atmos. Chem. Phys., 23, 3299–3309, https://doi.org/10.5194/acp-23-3299-2023,https://doi.org/10.5194/acp-23-3299-2023, 2023
Short summary
A vertical transport window of water vapor in the troposphere over the Tibetan Plateau with implications for global climate change
Xiangde Xu, Chan Sun, Deliang Chen, Tianliang Zhao, Jianjun Xu, Shengjun Zhang, Juan Li, Bin Chen, Yang Zhao, Hongxiong Xu, Lili Dong, Xiaoyun Sun, and Yan Zhu
Atmos. Chem. Phys., 22, 1149–1157, https://doi.org/10.5194/acp-22-1149-2022,https://doi.org/10.5194/acp-22-1149-2022, 2022
Short summary
A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region
Xinghong Cheng, Zilong Hao, Zengliang Zang, Zhiquan Liu, Xiangde Xu, Shuisheng Wang, Yuelin Liu, Yiwen Hu, and Xiaodan Ma
Atmos. Chem. Phys., 21, 13747–13761, https://doi.org/10.5194/acp-21-13747-2021,https://doi.org/10.5194/acp-21-13747-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations
Ross J. Herbert, Andrew I. L. Williams, Philipp Weiss, Duncan Watson-Parris, Elisabeth Dingley, Daniel Klocke, and Philip Stier
Atmos. Chem. Phys., 25, 7789–7814, https://doi.org/10.5194/acp-25-7789-2025,https://doi.org/10.5194/acp-25-7789-2025, 2025
Short summary
A novel method to quantify the uncertainty contribution of aerosol–radiation interaction factors
Bishuo He and Chunsheng Zhao
Atmos. Chem. Phys., 25, 7765–7776, https://doi.org/10.5194/acp-25-7765-2025,https://doi.org/10.5194/acp-25-7765-2025, 2025
Short summary
Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models
Ge Yu, Yueya Wang, Zhe Wang, and Xiaoming Shi
Atmos. Chem. Phys., 25, 7527–7542, https://doi.org/10.5194/acp-25-7527-2025,https://doi.org/10.5194/acp-25-7527-2025, 2025
Short summary
Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events
Pan Wang, Yue Zhao, Jiandong Wang, Veli-Matti Kerminen, Jingkun Jiang, and Chenxi Li
Atmos. Chem. Phys., 25, 7431–7446, https://doi.org/10.5194/acp-25-7431-2025,https://doi.org/10.5194/acp-25-7431-2025, 2025
Short summary
Modeling CMAQ dry deposition treatment over the western Pacific: a distinct characteristic of mineral dust and anthropogenic aerosols
Steven Soon-Kai Kong, Joshua S. Fu, Neng-Huei Lin, Guey-Rong Sheu, and Wei-Syun Huang
Atmos. Chem. Phys., 25, 7245–7268, https://doi.org/10.5194/acp-25-7245-2025,https://doi.org/10.5194/acp-25-7245-2025, 2025
Short summary

Cited articles

Cai, M., Ou, J. J., Zhou, Y. Q., Yang Q., and Cai, Z. X.: Discriminating cloud area by using L-band sounding data (in Chinese), Chin. J. Atmos. Sci., 38, 213–222, https://doi.org/10.3878/j.issn.1006-9895.2013.12193, 2014. 
Cai, W. Y., Xu, X. D., Cheng, X. H., Wei, F. Y., Qiu, X. F., and Zhu, W. H.: Impact of “blocking” structure in the troposphere on the wintertime persistent heavy air pollution in northern China, Sci. Total Environ., 741, 140325, https://doi.org/10.1016/j.scitotenv.2020.140325, 2020. 
Cai, W.: Air temperature of surface observation data, Zenodo [data set], https://doi.org/10.5281/zenodo.5371982, 2021a. 
Cai, W.: L-band sounding data, Zenodo [data set], https://doi.org/10.5281/zenodo.5371868, 2021b. 
Cai, W.: The haze days of surface observation data, Zenodo [data set], https://doi.org/10.5281/zenodo.5372006, 2021c. 
Download
Short summary
We found that the structure of atmospheric thermodynamics in the troposphere can be regarded as a strong forewarning signal for variations of surface PM2.5 concentration in heavy air pollution.
Share
Altmetrics
Final-revised paper
Preprint