Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-7867-2026
© Author(s) 2026. 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-26-7867-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of lake on diurnal evolution of surface PM2.5 concentrations around a typical megacity of China
Zining Yang
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Chun Zhao
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China
Institute of Frontier and Interdisciplinary Research in High-Performance Computing Systems and Software, University of Science and Technology of China, Hefei, China
Laoshan Laboratory, Qingdao, China
Zihan Xia
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Qiuyan Du
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Gudongze Li
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Mingyue Xu
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Zhiyuan Hu
College of Atmospheric Science, Lanzhou University, Lanzhou, 730000, China
Collaborative Innovation Center for West Ecological Safety (CIWES), Lanzhou University, Lanzhou 730000, China
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
Renmin Yuan
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Jiawang Feng
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
National Key Laboratory of Deep Space Exploration/Joint Laboratory of Fengyun Remote Sensing, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Yubin Li
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China
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Our research has determined the possible relationship between Weibull natural wind mesoscale parameter c and shape factor k with height under the conditions of a desert steppe terrain in northern China, which has great potential in wind power generation. We have gained an enhanced understanding of the seasonal changes in the surface roughness of the desert grassland and the changes in the incoming wind direction.
Xiaodong Wang, Chun Zhao, Mingyue Xu, Qiuyan Du, Jianqiu Zheng, Yun Bi, Shengfu Lin, and Yali Luo
Geosci. Model Dev., 15, 199–218, https://doi.org/10.5194/gmd-15-199-2022, https://doi.org/10.5194/gmd-15-199-2022, 2022
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Mingshuai Zhang, Chun Zhao, Yuhan Yang, Qiuyan Du, Yonglin Shen, Shengfu Lin, Dasa Gu, Wenjing Su, and Cheng Liu
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Yixiong Lu, Tongwen Wu, Yubin Li, and Ben Yang
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The spurious precipitation in the tropical southeastern Pacific and southern Atlantic is one of the most prominent systematic biases in coupled atmosphere–ocean general circulation models. This study significantly promotes the marine stratus simulation and largely alleviates the excessive precipitation biases through improving parameterizations of boundary-layer turbulence and shallow convection, providing an effective solution to the long-standing bias in the tropical precipitation simulation.
Lian Zong, Yuanjian Yang, Meng Gao, Hong Wang, Peng Wang, Hongliang Zhang, Linlin Wang, Guicai Ning, Chao Liu, Yubin Li, and Zhiqiu Gao
Atmos. Chem. Phys., 21, 9105–9124, https://doi.org/10.5194/acp-21-9105-2021, https://doi.org/10.5194/acp-21-9105-2021, 2021
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In recent years, summer O3 pollution over eastern China has become more serious, and it is even the case that surface O3 and PM2.5 pollution can co-occur. However, the synoptic weather pattern (SWP) related to this compound pollution remains unclear. Regional PM2.5 and O3 compound pollution is characterized by various SWPs with different dominant factors. Our findings provide insights into the regional co-occurring high PM2.5 and O3 levels via the effects of certain meteorological factors.
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Short summary
This study uses 1 km resolution Weather Research and Forecasting model coupled with
Chemistry (WRF-Chem) simulations to investigate how Lake Chaohu affects fine
particulate matter (PM2.5) in Hefei. The lake shows a diurnal reversal, increasing
daytime pollution by secondary aerosol formation and storage zones with suppressed
mixing and low deposition, while purifying urban air at night through enhanced vertical
mixing. Lake emission treatment affects lake-urban air quality assessments.
Chemistry (WRF-Chem) simulations to investigate how Lake Chaohu affects fine
particulate matter (PM2.5) in Hefei. The lake shows a diurnal reversal, increasing
daytime pollution by secondary aerosol formation and storage zones with suppressed
mixing and low deposition, while purifying urban air at night through enhanced vertical
mixing. Lake emission treatment affects lake-urban air quality assessments.
This study uses 1 km resolution Weather Research and Forecasting model coupled with
Chemistry...
Chemistry...
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