Articles | Volume 25, issue 14
https://doi.org/10.5194/acp-25-7527-2025
© 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-25-7527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models
Division of Emerging Interdisciplinary Areas, Hong Kong University of Science and Technology, Hong Kong SAR, China
Yueya Wang
Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong SAR, China
Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong SAR, China
Xiaoming Shi
CORRESPONDING AUTHOR
Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong SAR, China
Center for Ocean Research in Hong Kong and Macau, Hong Kong University of Science and Technology, Hong Kong SAR, China
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Xueying Liu, Yeqi Huang, Yao Chen, Xin Feng, Yang Xu, Yi Chen, Dasa Gu, Hao Sun, Zhi Ning, Jianzhen Yu, Wing Sze Chow, Changqing Lin, Yan Xiang, Tianshu Zhang, Claire Granier, Guy Brasseur, Zhe Wang, and Jimmy C. H. Fung
EGUsphere, https://doi.org/10.5194/egusphere-2025-3227, https://doi.org/10.5194/egusphere-2025-3227, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Volatile organic compounds (VOCs) affect ozone formation and air quality. However, our understanding is limited due to insufficient measurements, especially for oxygenated VOCs. This study combines land, ship, and satellite data in Hong Kong, showing that oxygenated VOCs make up a significant portion of total VOCs. Despite their importance, many are underestimated in current models. These findings highlight the need to improve VOC representation in models to enhance air quality management.
Lirong Hui, Yi Chen, Xin Feng, Hao Sun, Jia Guo, Yang Xu, Yao Chen, Penggang Zheng, Dasa Gu, and Zhe Wang
EGUsphere, https://doi.org/10.5194/egusphere-2025-2203, https://doi.org/10.5194/egusphere-2025-2203, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This study finds that oxygenated organic gases play a much greater role in ozone pollution than previously known. Based on detailed air measurements and modeling, the research shows these gases strongly influence radicals and ozone formation. Overlooking them may lead to ineffective policies. The findings highlight the need for better measurement of these gases to improve pollution forecasts and support smarter air quality strategies.
Xingyu Zhu, Yongquan Qu, and Xiaoming Shi
EGUsphere, https://doi.org/10.5194/egusphere-2025-2568, https://doi.org/10.5194/egusphere-2025-2568, 2025
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We used a newly developed Python library, JAX, to write a new fast and differentiable large-eddy simulation model, LEX. Evaluated with a warm bubble case, LEX maintains high accuracy as the Cloud Model 1, and with GPU acceleration and better numerical stability, LEX can be quite faster. To report its differentiability, we further trained deep learning-based parameterization schemes. The newly trained models can surpass the conventional schemes and get the proper forecast results.
Yifan Jiang, Men Xia, Zhe Wang, Penggang Zheng, Yi Chen, and Tao Wang
Atmos. Chem. Phys., 23, 14813–14828, https://doi.org/10.5194/acp-23-14813-2023, https://doi.org/10.5194/acp-23-14813-2023, 2023
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This study provides the first estimate of high rates of formic acid (HCOOH) production from the photochemical aging of real ambient particles and demonstrates the potential importance of this pathway in the formation of HCOOH under ambient conditions. Incorporating this pathway significantly improved the performance of a widely used chemical model. Our solution irradiation experiments demonstrated the importance of nitrate photolysis in HCOOH production via the production of oxidants.
Zhouxing Zou, Qianjie Chen, Men Xia, Qi Yuan, Yi Chen, Yanan Wang, Enyu Xiong, Zhe Wang, and Tao Wang
Atmos. Chem. Phys., 23, 7057–7074, https://doi.org/10.5194/acp-23-7057-2023, https://doi.org/10.5194/acp-23-7057-2023, 2023
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We present OH observation and model simulation results at a coastal site in Hong Kong. The model predicted the OH concentration under high-NOx well but overpredicted it under low-NOx conditions. This implies an insufficient understanding of OH chemistry under low-NOx conditions. We show evidence of missing OH sinks as a possible cause of the overprediction.
Qiongqiong Wang, Shan Wang, Yuk Ying Cheng, Hanzhe Chen, Zijing Zhang, Jinjian Li, Dasa Gu, Zhe Wang, and Jian Zhen Yu
Atmos. Chem. Phys., 22, 11239–11253, https://doi.org/10.5194/acp-22-11239-2022, https://doi.org/10.5194/acp-22-11239-2022, 2022
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Secondary organic aerosol (SOA) is often enhanced during fine-particulate-matter (PM2.5) episodes. We examined bi-hourly measurements of SOA molecular tracers in suburban Hong Kong during 11 city-wide PM2.5 episodes. The tracers showed regional characteristics for both anthropogenic and biogenic SOA as well as biomass-burning-derived SOA. Multiple tracers of the same precursor revealed the dominance of low-NOx formation pathways for isoprene SOA and less-aged monoterpene SOA during winter.
Yishuo Guo, Chao Yan, Yuliang Liu, Xiaohui Qiao, Feixue Zheng, Ying Zhang, Ying Zhou, Chang Li, Xiaolong Fan, Zhuohui Lin, Zemin Feng, Yusheng Zhang, Penggang Zheng, Linhui Tian, Wei Nie, Zhe Wang, Dandan Huang, Kaspar R. Daellenbach, Lei Yao, Lubna Dada, Federico Bianchi, Jingkun Jiang, Yongchun Liu, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 10077–10097, https://doi.org/10.5194/acp-22-10077-2022, https://doi.org/10.5194/acp-22-10077-2022, 2022
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Gaseous oxygenated organic molecules (OOMs) are able to form atmospheric aerosols, which will impact on human health and climate change. Here, we find that OOMs in urban Beijing are dominated by anthropogenic sources, i.e. aromatic (29 %–41 %) and aliphatic (26 %–41 %) OOMs. They are also the main contributors to the condensational growth of secondary organic aerosols (SOAs). Therefore, the restriction on anthropogenic VOCs is crucial for the reduction of SOAs and haze formation.
Men Xia, Xiang Peng, Weihao Wang, Chuan Yu, Zhe Wang, Yee Jun Tham, Jianmin Chen, Hui Chen, Yujing Mu, Chenglong Zhang, Pengfei Liu, Likun Xue, Xinfeng Wang, Jian Gao, Hong Li, and Tao Wang
Atmos. Chem. Phys., 21, 15985–16000, https://doi.org/10.5194/acp-21-15985-2021, https://doi.org/10.5194/acp-21-15985-2021, 2021
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ClNO2 is an important precursor of chlorine radical that affects photochemistry. However, its production and impact are not well understood. Our study presents field observations of ClNO2 at three sites in northern China. These observations provide new insights into nighttime processes that produce ClNO2 and the significant impact of ClNO2 on secondary pollutions during daytime. The results improve the understanding of photochemical pollution in the lower part of the atmosphere.
Yuliang Liu, Wei Nie, Yuanyuan Li, Dafeng Ge, Chong Liu, Zhengning Xu, Liangduo Chen, Tianyi Wang, Lei Wang, Peng Sun, Ximeng Qi, Jiaping Wang, Zheng Xu, Jian Yuan, Chao Yan, Yanjun Zhang, Dandan Huang, Zhe Wang, Neil M. Donahue, Douglas Worsnop, Xuguang Chi, Mikael Ehn, and Aijun Ding
Atmos. Chem. Phys., 21, 14789–14814, https://doi.org/10.5194/acp-21-14789-2021, https://doi.org/10.5194/acp-21-14789-2021, 2021
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Oxygenated organic molecules (OOMs) are crucial intermediates linking volatile organic compounds to secondary organic aerosols. Using nitrate time-of-flight chemical ionization mass spectrometry in eastern China, we performed positive matrix factorization (PMF) on binned OOM mass spectra. We reconstructed over 1000 molecules from 14 derived PMF factors and identified about 72 % of the observed OOMs as organic nitrates, highlighting the decisive role of NOx in OOM formation in populated areas.
Chao Peng, Yu Wang, Zhijun Wu, Lanxiadi Chen, Ru-Jin Huang, Weigang Wang, Zhe Wang, Weiwei Hu, Guohua Zhang, Maofa Ge, Min Hu, Xinming Wang, and Mingjin Tang
Atmos. Chem. Phys., 20, 13877–13903, https://doi.org/10.5194/acp-20-13877-2020, https://doi.org/10.5194/acp-20-13877-2020, 2020
Zhenhao Ling, Qianqian Xie, Min Shao, Zhe Wang, Tao Wang, Hai Guo, and Xuemei Wang
Atmos. Chem. Phys., 20, 11451–11467, https://doi.org/10.5194/acp-20-11451-2020, https://doi.org/10.5194/acp-20-11451-2020, 2020
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The observation data from a receptor site in the Pearl River Delta region were analyzed by a photochemical box model with near-explicit chemical mechanisms (i.e., the Master Chemical Mechanism, MCM), improvements with reversible and irreversible heterogeneous processes of glyoxal and methylglyoxal, and the gas-particle partitioning of oxidation products in the present study.
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Short summary
Studying the cloud-forming capacity of aerosols is crucial in climate research. The PartMC model can provide detailed particle information and help these studies. This model is integrated with the ideal meteorological Cloud Model 1 (CM1) to simulate the aerosols at cloud-forming locations. Significant changes are revealed in the hygroscopicity distribution of aerosols within ascending air parcels. Additionally, different ascent times also affect aerosol aging processes.
Studying the cloud-forming capacity of aerosols is crucial in climate research. The PartMC model...
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