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ACP - recent papers

Combined list of the recent articles of the journal Atmospheric Chemistry and Physics and the recent discussion forum Atmospheric Chemistry and Physics Discussions
  • Potential contribution to secondary aerosols from benzothiazoles in the atmospheric aqueous phase based on oxidation and oligomerization mechanisms
    Potential contribution to secondary aerosols from benzothiazoles in the atmospheric aqueous phase based on oxidation and oligomerization mechanisms Qun Zhang, Wei Zhou, Shanshan Tang, Kai Huang, Jie Fu, Zechen Yu, Yunhe Teng, Shuyi Shen, Yang Mei, Xuezhi Yang, Jianjie Fu, and Guibin Jiang Atmos. Chem. Phys., 25, 13475–13491, https://doi.org10.5194/acp-25-13475-2025, 2025 This article comprehensively investigates the aqueous-phase OH oxidation of benzothiazoles (BTs), common rubber additives widespread in urban air, through laboratory simulation experiments. BTs can rapidly degrade, leading to light absorption, high yields of sulfate, and the formation of oligomerized organic compounds. The results reveal that aqueous-phase BTs can contribute to secondary aerosols, altering the chemical and optical properties of atmospheric particles.

  • Rethinking machine learning weather normalisation: a refined strategy for short-term air pollution policies
    Rethinking machine learning weather normalisation: a refined strategy for short-term air pollution policies Yuqing Dai, Bowen Liu, Chengxu Tong, David C. Carslaw, A. Robert MacKenzie, and Zongbo Shi Atmos. Chem. Phys., 25, 13585–13596, https://doi.org10.5194/acp-25-13585-2025, 2025 Air pollution causes millions of deaths annually, driving policies to improve air quality. However, assessing these policies is challenging because weather changes can hide their true impact. We created a logical evaluation framework and found that a widely applied machine learning approach that adjusts for weather effects could underestimate the effectiveness of short-term policies, like emergency traffic controls. We proposed a refined approach that could largely reduce such underestimation.

  • A microphysics guide to cirrus – Part 3: Occurrence patterns of cloud particles
    A microphysics guide to cirrus – Part 3: Occurrence patterns of cloud particles Martina Krämer, Nicole Spelten, Christian Rolf, and Reinhold Spang Atmos. Chem. Phys., 25, 13563–13583, https://doi.org10.5194/acp-25-13563-2025, 2025 The size and number of cirrus ice crystals is one parameter influencing the still uncertain effect of cirrus clouds on climate. Here, the occurrence of ice particle sizes and concentrations with varying temperature and cloud microphysical thickness is analyzed as well as whether they formed in-situ or were transported upwards as frozen droplets from further below. The analyses are based on a large database of airborne measurements and extensive simulations.

  • Estimating surface sulfur dioxide concentrations from satellite data over eastern China: Using chemical transport models vs. machine learning
    Estimating surface sulfur dioxide concentrations from satellite data over eastern China: Using chemical transport models vs. machine learning Zachary Watson, Can Li, Fei Liu, Sean W. Freeman, Huanxin Zhang, Jun Wang, and Shan-Hu Lee Atmos. Chem. Phys., 25, 13527–13545, https://doi.org10.5194/acp-25-13527-2025, 2025 Air pollutants like sulfur dioxide impact human health and the environment. Our work estimated surface sulfur dioxide concentrations from satellite data over eastern China. One method used atmospheric models, and another method used machine learning. We found that compared to measurements from an air quality monitoring network, both methods accurately captured the locations of sulfur dioxide, but the machine learning method was generally much more accurate in the estimated concentrations.

  • Global modeling of brown carbon: impact of temperature- and humidity-dependent bleaching
    Global modeling of brown carbon: impact of temperature- and humidity-dependent bleaching Xinchun Xie, Yuzhong Zhang, Ruosi Liang, and Xuan Wang Atmos. Chem. Phys., 25, 13547–13561, https://doi.org10.5194/acp-25-13547-2025, 2025 Brown carbon (BrC), mainly from biomass burning, absorbs short-wavelength sunlight and affects climate and atmospheric chemistry. This study implemented an improved parameterization of BrC bleaching in a model with which BrC can survive much longer in cold, dry air, especially when lofted into the upper atmosphere by wildfires. The results reveal stronger warming effects and impacts on atmospheric oxidation, highlighting the need to consider BrC in climate and pollution control strategies.