Articles | Volume 23, issue 17
https://doi.org/10.5194/acp-23-9873-2023
© Author(s) 2023. 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-23-9873-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2023
Research article |
| 06 Sep 2023
| 06 Sep 2023
Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study
Naifu Shao
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Chunsong Lu
CORRESPONDING AUTHOR
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Xingcan Jia
Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
Yuan Wang
Collaborative Innovation Centre for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
Yubin Li
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Bin Zhu
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Tianliang Zhao
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Duanyang Liu
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Shengjie Niu
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
College of Safety Science and Engineering, Nanjing Technology
University, Nanjing 210009, China
Shuxian Fan
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Shuqi Yan
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Jingjing Lv
China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory/Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
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Yuehan Luo, Tianliang Zhao, Kai Meng, Jun Hu, Qingjian Yang, Yongqing Bai, Kai Yang, Weikang Fu, Chenghao Tan, Yifan Zhang, Yanzhe Zhang, and Zhikuan Li
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Zhiheng Liao, Meng Gao, Jinqiang Zhang, Jiaren Sun, Jiannong Quan, Xingcan Jia, Yubing Pan, and Shaojia Fan
Atmos. Chem. Phys., 24, 3541–3557, https://doi.org/10.5194/acp-24-3541-2024, https://doi.org/10.5194/acp-24-3541-2024, 2024
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This study collected 1897 ozonesondes from two Chinese megacities (Beijing and Hong Kong) in 2000–2022 to investigate the climatological vertical heterogeneity of lower-tropospheric ozone distribution with a mixing-layer-height-referenced (h-referenced) vertical coordinate system. This vertical coordinate system highlighted O3 stratification features existing at the mixing layer–free troposphere interface and provided a better understanding of O3 pollution in urban regions.
Xuewei Hou, Oliver Wild, Bin Zhu, and James Lee
Atmos. Chem. Phys., 23, 15395–15411, https://doi.org/10.5194/acp-23-15395-2023, https://doi.org/10.5194/acp-23-15395-2023, 2023
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Shuqi Yan, Hongbin Wang, Xiaohui Liu, Fan Zu, and Duanyang Liu
Atmos. Chem. Phys., 23, 13987–14002, https://doi.org/10.5194/acp-23-13987-2023, https://doi.org/10.5194/acp-23-13987-2023, 2023
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In this study, we quantitatively study the effect of the boundary layer low-level jet (BLLJ) on fast fog spatial propagation; i.e., the fog area expands very fast along a certain direction. The wind speed (10 m s−1) and direction (southeast) of the BLLJ core are consistent with fog propagation (9.6 m s−1). The BLLJ-induced temperature and moisture advections are possible reasons for fast fog propagation. The propagation speed would decrease by 6.4 m s−1 if these advections were turned off.
Shaohui Zhou, Chloe Yuchao Gao, Zexia Duan, Xingya Xi, and Yubin Li
Geosci. Model Dev., 16, 6247–6266, https://doi.org/10.5194/gmd-16-6247-2023, https://doi.org/10.5194/gmd-16-6247-2023, 2023
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The proposed wind speed correction model (VMD-PCA-RF) demonstrates the highest prediction accuracy and stability in the five southern provinces in nearly a year and at different heights. VMD-PCA-RF evaluation indices for 13 months remain relatively stable: the forecasting accuracy rate FA is above 85 %. In future research, the proposed VMD-PCA-RF algorithm can be extrapolated to the 3 km grid points of the five southern provinces to generate a 3 km grid-corrected wind speed product.
Jianbin Zhang, Zhiqiu Gao, Yubin Li, and Yuncong Jiang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-187, https://doi.org/10.5194/gmd-2023-187, 2023
Preprint withdrawn
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This study developed a deep learning model called CNN-BiLSTM-AM for convective weather forecasting. The results showed that the CNN-BiLSTM-AM model outperformed traditional machine learning algorithms in predicting convective weather, with higher accuracy as the forecast lead time increased. When compared to subjective forecasts by forecasters, the objective approach of the CNN-BiLSTM-AM model also demonstrated advantages in various metrics.
Zhiheng Liao, Jinqiang Zhang, Yubin Pan, Xingcan Jia, Pengkun Ma, Qianqian Wang, Zhigang Cheng, Lindong Dai, and Jiannong Quan
EGUsphere, https://doi.org/10.5194/egusphere-2023-1393, https://doi.org/10.5194/egusphere-2023-1393, 2023
Preprint withdrawn
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This study presents the first systematic assessment of observationally constrained UTLS O3 variability over the Northeast Asia region in the framework of upper-level circulation pattern classification. The results indicate that lower-stratospheric O3 exhibits a far stronger sensitivity to upper-level circulation patterns when compared with upper-tropospheric O3. The progression of the East Asian Trough plays a critical role in determining the location and intensity of O3 enhancements.
Chenwei Fang, Jim M. Haywood, Ju Liang, Ben T. Johnson, Ying Chen, and Bin Zhu
Atmos. Chem. Phys., 23, 8341–8368, https://doi.org/10.5194/acp-23-8341-2023, https://doi.org/10.5194/acp-23-8341-2023, 2023
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The responses of Asian summer monsoon duration and intensity to air pollution mitigation are identified given the net-zero future. We show that reducing scattering aerosols makes the rainy season longer and stronger across South Asia and East Asia but that absorbing aerosol reduction has the opposite effect. Our results hint at distinct monsoon responses to emission controls that target different aerosols.
Wen Lu, Bin Zhu, Shuqi Yan, Jie Li, and Zifa Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-1089, https://doi.org/10.5194/egusphere-2023-1089, 2023
Preprint archived
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Parameterized the minimum turbulent diffusivity (Kzmin) by sensible heat flux and latent heat flux and embedded it into the WRF-Chem model. New scheme improved the underestimation of turbulence diffusion underestimation and overestimation of surface PM2.5 under stable boundary layer simulation over eastern China. The physical relationship between Kzmin and two factors was discussed. Process analysis showed that vertical mixing is the key process to improve surface PM2.5 simulations.
Xiumei Zhang, Ronald van der A, Jieying Ding, Xin Zhang, and Yan Yin
Atmos. Chem. Phys., 23, 5587–5604, https://doi.org/10.5194/acp-23-5587-2023, https://doi.org/10.5194/acp-23-5587-2023, 2023
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We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
Shuqi Yan, Bin Zhu, Shuangshuang Shi, Wen Lu, Jinhui Gao, Hanqing Kang, and Duanyang Liu
Atmos. Chem. Phys., 23, 5177–5190, https://doi.org/10.5194/acp-23-5177-2023, https://doi.org/10.5194/acp-23-5177-2023, 2023
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We analyze ozone response to aerosol mixing states in the vertical direction by WRF-Chem simulations. Aerosols generally lead to turbulent suppression, precursor accumulation, low-level photolysis reduction, and upper-level photolysis enhancement under different underlying surface and pollution conditions. Thus, ozone decreases within the entire boundary layer during the daytime, and the decrease is the least in aerosol external mixing states compared to internal and core shell mixing states.
Jianbin Zhang, Zexia Duan, Shaohui Zhou, Yubin Li, and Zhiqiu Gao
Atmos. Meas. Tech., 16, 2197–2207, https://doi.org/10.5194/amt-16-2197-2023, https://doi.org/10.5194/amt-16-2197-2023, 2023
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In this paper, we used a random forest model to fill the observation gaps of the fluxes measured during 2015–2019. We found that the net radiation was the most important input variable. And we justified the reliability of the model. Further, it was revealed that the model performed better after relative humidity was removed from the input. Lastly, we compared the results of the model with those of three other machine learning models, and we found that the model outperformed all of them.
Zefeng Zhang, Hengnan Guo, Hanqing Kang, Jing Wang, Junlin An, Xingna Yu, Jingjing Lv, and Bin Zhu
Atmos. Meas. Tech., 15, 7259–7264, https://doi.org/10.5194/amt-15-7259-2022, https://doi.org/10.5194/amt-15-7259-2022, 2022
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In this study, we first analyze the relationship between the visibility, the extinction coefficient, and atmospheric compositions. Then we propose to use the harmonic average of visibility data as the average visibility, which can better reflect changes in atmospheric extinction coefficients and aerosol concentrations. It is recommended to use the harmonic average visibility in the studies of climate change, atmospheric radiation, air pollution, environmental health, etc.
Yuan Wang, Silvia Henning, Laurent Poulain, Chunsong Lu, Frank Stratmann, Yuying Wang, Shengjie Niu, Mira L. Pöhlker, Hartmut Herrmann, and Alfred Wiedensohler
Atmos. Chem. Phys., 22, 15943–15962, https://doi.org/10.5194/acp-22-15943-2022, https://doi.org/10.5194/acp-22-15943-2022, 2022
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Aerosol particle activation affects cloud, precipitation, radiation, and thus the global climate. Its long-term measurements are important but still scarce. In this study, more than 4 years of measurements at a central European station were analyzed. The overall characteristics and seasonal changes of aerosol particle activation are summarized. The power-law fit between particle hygroscopicity factor and diameter was recommended for predicting cloud
condensation nuclei number concentration.
Hanqing Kang, Bin Zhu, Gerrit de Leeuw, Bu Yu, Ronald J. van der A, and Wen Lu
Atmos. Chem. Phys., 22, 10623–10634, https://doi.org/10.5194/acp-22-10623-2022, https://doi.org/10.5194/acp-22-10623-2022, 2022
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This study quantified the contribution of each urban-induced meteorological effect (temperature, humidity, and circulation) to aerosol concentration. We found that the urban heat island (UHI) circulation dominates the UHI effects on aerosol. The UHI circulation transports aerosol and its precursor gases from the warmer lower boundary layer to the colder lower free troposphere and promotes the secondary formation of ammonium nitrate aerosol in the cold atmosphere.
Lian Zong, Yuanjian Yang, Haiyun Xia, Meng Gao, Zhaobin Sun, Zuofang Zheng, Xianxiang Li, Guicai Ning, Yubin Li, and Simone Lolli
Atmos. Chem. Phys., 22, 6523–6538, https://doi.org/10.5194/acp-22-6523-2022, https://doi.org/10.5194/acp-22-6523-2022, 2022
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Heatwaves (HWs) paired with higher ozone (O3) concentration at surface level pose a serious threat to human health. Taking Beijing as an example, three unfavorable synoptic weather patterns were identified to dominate the compound HW and O3 pollution events. Under the synergistic stress of HWs and O3 pollution, public mortality risk increased, and synoptic patterns and urbanization enhanced the compound risk of events in Beijing by 33.09 % and 18.95 %, respectively.
Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
Atmos. Chem. Phys., 22, 5925–5942, https://doi.org/10.5194/acp-22-5925-2022, https://doi.org/10.5194/acp-22-5925-2022, 2022
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The importance of convection to the ozone and nitrogen oxides (NOx) produced from lightning has long been an open question. We utilize the high-resolution chemistry model with ozonesondes and space observations to discuss the effects of convection over southeastern China, where few studies have been conducted. Our results show the transport and chemistry contributions for various storms and demonstrate the ability of TROPOMI to estimate the lightning NOx production over small-scale convection.
Xiaoqi Xu, Chunsong Lu, Yangang Liu, Shi Luo, Xin Zhou, Satoshi Endo, Lei Zhu, and Yuan Wang
Atmos. Chem. Phys., 22, 5459–5475, https://doi.org/10.5194/acp-22-5459-2022, https://doi.org/10.5194/acp-22-5459-2022, 2022
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A new entrainment–mixing parameterization which can be directly implemented in microphysics schemes without requiring the relative humidity of the entrained air is proposed based on the explicit mixing parcel model. The parameterization is implemented in the two-moment microphysics scheme and exhibits different effects on different types of clouds and even on different stages of stratocumulus clouds, which are affected by turbulent dissipation rate and aerosol concentration.
Chenglong Zhou, Yuzhi Liu, Qingzhe Zhu, Qing He, Tianliang Zhao, Fan Yang, Wen Huo, Xinghua Yang, and Ali Mamtimin
Atmos. Chem. Phys., 22, 5195–5207, https://doi.org/10.5194/acp-22-5195-2022, https://doi.org/10.5194/acp-22-5195-2022, 2022
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Based on the radiosonde observations, an anomalously warm layer is measured at altitudes between 500 and 300 hPa over the Tarim Basin (TB) with an average intensity of 2.53 and 1.39 K in the spring and summer, respectively. The heat contributions of dust to this anomalously warm atmospheric layer in spring and summer were 13.77 and 10.25 %, respectively. Topographically, the TB is adjacent to the Tibetan Plateau; we propose the concept of the Tibetan heat source’s northward extension.
Xiaoyun Sun, Tianliang Zhao, Yongqing Bai, Shaofei Kong, Huang Zheng, Weiyang Hu, Xiaodan Ma, and Jie Xiong
Atmos. Chem. Phys., 22, 3579–3593, https://doi.org/10.5194/acp-22-3579-2022, https://doi.org/10.5194/acp-22-3579-2022, 2022
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This study revealed the impact of anthropogenic emissions and meteorological conditions on PM2.5 decline in the regional transport of air pollutants over a receptor region in central China. The meteorological drivers led to upwind accelerating and downward offsetting of the effects of emission reductions over the receptor region in regional PM2.5 transport, and the contribution of gaseous precursor emissions to PM2.5 pollution was enhanced with reduced anthropogenic emissions in recent years.
Shaohui Zhou, Yuanjian Yang, Zhiqiu Gao, Xingya Xi, Zexia Duan, and Yubin Li
Atmos. Meas. Tech., 15, 757–773, https://doi.org/10.5194/amt-15-757-2022, https://doi.org/10.5194/amt-15-757-2022, 2022
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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.
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
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A vertical transport window of tropospheric vapor exists on the Tibetan Plateau (TP). The TP's thermal forcing drives the vertical transport
windowof vapor in the troposphere. The effects of the TP's vertical transport window of vapor are of importance in global climate change.
Zhenbin Wang, Bin Zhu, Hanqing Kang, Wen Lu, Shuqi Yan, Delong Zhao, Weihang Zhang, and Jinhui Gao
Atmos. Chem. Phys., 21, 15555–15567, https://doi.org/10.5194/acp-21-15555-2021, https://doi.org/10.5194/acp-21-15555-2021, 2021
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In this paper, by using WRF-Chem with a black carbon (BC) tagging technique, we investigate the formation mechanism and regional sources of a BC peak in the free troposphere observed by aircraft flights. Local sources dominated BC from the surface to about 700 m (78.5 %), while the BC peak in the free troposphere was almost entirely imported from external sources (99.8 %). Our results indicate that cyclone systems can quickly lift BC up to the free troposphere, as well as extend its lifetime.
Xiangde Xu, Wenyue Cai, Tianliang Zhao, Xinfa Qiu, Wenhui Zhu, Chan Sun, Peng Yan, Chunzhu Wang, and Fei Ge
Atmos. Chem. Phys., 21, 14131–14139, https://doi.org/10.5194/acp-21-14131-2021, https://doi.org/10.5194/acp-21-14131-2021, 2021
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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.
Yixiong Lu, Tongwen Wu, Yubin Li, and Ben Yang
Geosci. Model Dev., 14, 5183–5204, https://doi.org/10.5194/gmd-14-5183-2021, https://doi.org/10.5194/gmd-14-5183-2021, 2021
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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.
Meng Gao, Yang Yang, Hong Liao, Bin Zhu, Yuxuan Zhang, Zirui Liu, Xiao Lu, Chen Wang, Qiming Zhou, Yuesi Wang, Qiang Zhang, Gregory R. Carmichael, and Jianlin Hu
Atmos. Chem. Phys., 21, 11405–11421, https://doi.org/10.5194/acp-21-11405-2021, https://doi.org/10.5194/acp-21-11405-2021, 2021
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Light absorption and radiative forcing of black carbon (BC) is influenced by both BC itself and its interactions with other aerosol chemical compositions. In this study, we used the online coupled WRF-Chem model to examine how emission control measures during the Asian-Pacific Economic Cooperation (APEC) conference affect the mixing state and light absorption of BC and the associated implications for BC-PBL interactions.
Sinan Gao, Chunsong Lu, Yangang Liu, Seong Soo Yum, Jiashan Zhu, Lei Zhu, Neel Desai, Yongfeng Ma, and Shang Wu
Atmos. Chem. Phys., 21, 11225–11241, https://doi.org/10.5194/acp-21-11225-2021, https://doi.org/10.5194/acp-21-11225-2021, 2021
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Only a few studies have been focused on the vertical variation of entrainment mixing with low resolutions which are crucial to cloud-related processes. A sawtooth pattern allows for an examination of mixing with high vertical resolution. A new measure is introduced to estimate entrainment mixing to overcome difficulties in existing measures, where vertical profile indicates that entrainment mixing becomes more homogeneous with decreasing altitudes, consistent with the dynamical measures.
Zhuozhi Shu, Yubao Liu, Tianliang Zhao, Junrong Xia, Chenggang Wang, Le Cao, Haoliang Wang, Lei Zhang, Yu Zheng, Lijuan Shen, Lei Luo, and Yueqing Li
Atmos. Chem. Phys., 21, 9253–9268, https://doi.org/10.5194/acp-21-9253-2021, https://doi.org/10.5194/acp-21-9253-2021, 2021
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Focusing on a heavy haze pollution event in the Sichuan Basin (SCB), we investigated the elevated 3D structure of PM2.5 and trans-boundary transport with the WRF-Chem simulation. It is remarkable for vertical PM2.5 that the unique hollows were structured, which which occurred by the interaction of vortex circulations and topographic effects. The SCB was regarded as the major air pollutant source with the trans-boundary transport of PM2.5 affecting atmospheric environment changes.
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.
Hengnan Guo, Zefeng Zhang, Lin Jiang, Junlin An, Bin Zhu, Hanqing Kang, and Jing Wang
Atmos. Meas. Tech., 14, 2441–2450, https://doi.org/10.5194/amt-14-2441-2021, https://doi.org/10.5194/amt-14-2441-2021, 2021
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Visibility is an indicator of atmospheric transparency and is widely used in many research fields. Although efforts have been made to improve the performance of visibility meters, a significant error exists in measured visibility data. This is because current methods of visibility measurement include a false assumption, which leads to the long-term neglect of an important source of visibility errors. Without major adjustments to current methods, it is not possible to obtain reliable data.
Yingying Yan, Yue Zhou, Shaofei Kong, Jintai Lin, Jian Wu, Huang Zheng, Zexuan Zhang, Aili Song, Yongqing Bai, Zhang Ling, Dantong Liu, and Tianliang Zhao
Atmos. Chem. Phys., 21, 3143–3162, https://doi.org/10.5194/acp-21-3143-2021, https://doi.org/10.5194/acp-21-3143-2021, 2021
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We analyze the effectiveness of emission reduction for local and upwind regions during winter haze episodes controlled by the main potential synoptic patterns over central China, a regional pollutant transport hub with sub-basin topography. Our results provide an opportunity to effectively mitigate haze pollution via local emission control actions in coordination with regional collaborative actions according to different synoptic patterns.
Lei Zhang, Sunling Gong, Tianliang Zhao, Chunhong Zhou, Yuesi Wang, Jiawei Li, Dongsheng Ji, Jianjun He, Hongli Liu, Ke Gui, Xiaomei Guo, Jinhui Gao, Yunpeng Shan, Hong Wang, Yaqiang Wang, Huizheng Che, and Xiaoye Zhang
Geosci. Model Dev., 14, 703–718, https://doi.org/10.5194/gmd-14-703-2021, https://doi.org/10.5194/gmd-14-703-2021, 2021
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Development of chemical transport models with advanced physics and chemical schemes is important for improving air-quality forecasts. This study develops the chemical module CUACE by updating with a new particle dry deposition scheme and adding heterogenous chemical reactions and couples it with the WRF model. The coupled model (WRF/CUACE) was able to capture well the variations of PM2.5, O3, NO2, and secondary inorganic aerosols in eastern China.
Xiaodan Ma, Jianping Huang, Tianliang Zhao, Cheng Liu, Kaihui Zhao, Jia Xing, and Wei Xiao
Atmos. Chem. Phys., 21, 1–16, https://doi.org/10.5194/acp-21-1-2021, https://doi.org/10.5194/acp-21-1-2021, 2021
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The present work aims at identifying and quantifying the relative contributions of the key factors in driving a rapid increase in summertime surface O3 over the North China Plain during 2013–2019. In addition to anthropogenic emission reduction and meteorological variabilities, our study highlights the importance of inclusion of aerosol absorption and scattering properties rather than aerosol abundance only in accurate assessment of aerosol radiative effect on surface O3 formation and change.
Cited articles
Abdul-Razzak, H.: A parameterization of aerosol activation 3. Sectional representation, J. Geophys. Res., 107, 4026, https://doi.org/10.1029/2001jd000483, 2002.
Ackerman, A. S., Kirkpatrick, M. P., Stevens, D. E., and Toon, O. B.: The
impact of humidity above stratiform clouds on indirect aerosol climate
forcing, Nature, 432, 1014–1017, https://doi.org/10.1038/nature03174, 2004.
Barnston, A. G.: Correspondence among the Correlation, RMSE, and Heidke
Forecast Verification Measures; Refinement of the Heidke Score, Weather
Forecast., 7, 699–709, https://doi.org/10.1175/1520-0434(1992)007<0699:catcra>2.0.co;2, 1992.
Bergot, T.: Small-scale structure of radiation fog: a large-eddy simulation study, Q. J. Roy. Meteor. Soc., 139, 1099–1112, https://doi.org/10.1002/qj.2051, 2013.
Bessho, K., Date, K., Hayashi, M., Ikeda, A., Imai, T., Inoue, H., Kumagai,
Y., Miyakawa, T., Murata, H., and Ohno, T.: An introduction to
Himawari-8/9 – Japan's new-generation geostationary meteorological
satellites, J. Meteorol. Soc. Jpn. Ser. II, 94,
151–183, https://doi.org/10.2151/jmsj.2016-009, 2016.
Boutle, I., Price, J., Kudzotsa, I., Kokkola, H., and Romakkaniemi, S.: Aerosol–fog interaction and the transition to well-mixed radiation fog, Atmos. Chem. Phys., 18, 7827–7840, https://doi.org/10.5194/acp-18-7827-2018, 2018.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance
metrics, goals, and criteria for three-dimensional air quality models,
Atmos. Environ., 40, 4946–4959, https://doi.org/10.1016/j.atmosenv.2005.09.087, 2006.
Chaboureau, J.-P. and Bechtold, P.: A Simple Cloud Parameterization Derived
from Cloud Resolving Model Data: Diagnostic and Prognostic Applications, J.
Atmos. Sci., 59, 2362–2372,
https://doi.org/10.1175/1520-0469(2002)059<2362:ascpdf>2.0.co;2, 2002.
China Meteorological Data Service Center: Observation Data From Automated Weather Stations In China, China Meteorological Administration [data set], http://data.cma.cn/en (last access: 30 August 2023), 2018.
China National Environmental Monitoring Center: National Air Quality Monitoring Data, the Ministry of Environmental Protection [data set], https://quotsoft.net/air/ (last access: 30 August 2023), 2014.
Ding, Q., Sun, J., Huang, X., Ding, A., Zou, J., Yang, X., and Fu, C.: Impacts of black carbon on the formation of advection–radiation fog during a haze pollution episode in eastern China, Atmos. Chem. Phys., 19, 7759–7774, https://doi.org/10.5194/acp-19-7759-2019, 2019.
Ducongé, L., Lac, C., Vié, B., Bergot, T., and Price, J. D.: Fog in
heterogeneous environments: the relative importance of local and non-local
processes on radiative-advective fog formation, Q. J. Roy. Meteor. Soc.,
146, 2522–2546, https://doi.org/10.1002/qj.3783, 2020.
Fan, J., Wang, Y., Rosenfeld, D., and Liu, X.: Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges, J. Atmos. Sci., 73, 4221–4252, https://doi.org/10.1175/jas-d-16-0037.1, 2016.
Fernando, H. J. S., Gultepe, I., Dorman, C., Pardyjak, E., Wang, Q., Hoch,
S. W., Richter, D., Creegan, E., Gaberšek, S., Bullock, T., Hocut, C.,
Chang, R., Alappattu, D., Dimitrova, R., Flagg, D., Grachev, A.,
Krishnamurthy, R., Singh, D. K., Lozovatsky, I., Nagare, B., Sharma, A.,
Wagh, S., Wainwright, C., Wroblewski, M., Yamaguchi, R., Bardoel, S.,
Coppersmith, R. S., Chisholm, N., Gonzalez, E., Gunawardena, N., Hyde, O.,
Morrison, T., Olson, A., Perelet, A., Perrie, W., Wang, S., and Wauer, B.:
C-FOG: Life of Coastal Fog, B. Am. Meteorol. Soc., 102, E244–E272,
https://doi.org/10.1175/bams-d-19-0070.1, 2021.
Fitzjarrald, D. R. and Lala, G. G.: Hudson Valley Fog Environments, J. Appl.
Meteorol. Clim., 28, 1303–1328,
https://doi.org/10.1175/1520-0450(1989)028<1303:hvfe>2.0.co;2, 1989.
Gao, M., Carmichael, G. R., Wang, Y., Saide, P. E., Yu, M., Xin, J., Liu, Z., and Wang, Z.: Modeling study of the 2010 regional haze event in the North China Plain, Atmos. Chem. Phys., 16, 1673–1691, https://doi.org/10.5194/acp-16-1673-2016, 2016.
Garrett, T. J. and Zhao, C.: Increased Arctic cloud longwave emissivity
associated with pollution from mid-latitudes, Nature, 440, 787–789,
https://doi.org/10.1038/nature04636, 2006.
Ghan, S., Wang, M., Zhang, S., Ferrachat, S., Gettelman, A., Griesfeller,
J., Kipling, Z., Lohmann, U., Morrison, H., and Neubauer, D.: Challenges in
constraining anthropogenic aerosol effects on cloud radiative forcing using
present-day spatiotemporal variability, P. Natl. Acad. Sci. USA, 113,
5804–5811, https://doi.org/10.1073/pnas.1514036113, 2016.
Grell, G. A. and Dévényi, D.: A generalized approach to
parameterizing convection combining ensemble and data assimilation
techniques, Geophys. Res. Lett., 29, 38-31–38-34,
https://doi.org/10.1029/2002gl015311, 2002.
Gultepe, I., Kuhn, T., Pavolonis, M., Calvert, C., Gurka, J., Heymsfield, A.
J., Liu, P. S. K., Zhou, B., Ware, R., Ferrier, B., Milbrandt, J., and
Bernstein, B.: Ice Fog in Arctic During FRAM–Ice Fog Project: Aviation and
Nowcasting Applications, B. Am. Meteorol. Soc., 95, 211–226,
https://doi.org/10.1175/bams-d-11-00071.1, 2014.
Guo, J., Liu, H., Li, Z., Rosenfeld, D., Jiang, M., Xu, W., Jiang, J. H., He, J., Chen, D., Min, M., and Zhai, P.: Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar, Atmos. Chem. Phys., 18, 13329–13343, https://doi.org/10.5194/acp-18-13329-2018, 2018.
Guo, L., Guo, X., Fang, C., and Zhu, S.: Observation analysis on
characteristics of formation, evolution and transition of a long-lasting
severe fog and haze episode in North China, Sci. China, Ser. D Earth Sci.,
58, 329–344, https://doi.org/10.1007/s11430-014-4924-2, 2015.
Guo, L., Guo, X., Luan, T., Zhu, S., and Lyu, K.: Radiative effects of
clouds and fog on long-lasting heavy fog events in northern China, Atmos.
Res., 252, 105444, https://doi.org/10.1016/j.atmosres.2020.105444, 2021.
Haeffelin, M., Bergot, T., Elias, T., Tardif, R., Carrer, D., Chazette, P.,
Colomb, M., Drobinski, P., Dupont, E., Dupont, J.-C., Gomes, L.,
Musson-Genon, L., Pietras, C., Plana-Fattori, A., Protat, A., Rangognio, J.,
Raut, J.-C., Rémy, S., Richard, D., Sciare, J., and Zhang, X.: Parisfog:
Shedding new Light on Fog Physical Processes, B. Am. Meteorol. Soc., 91,
767–783, https://doi.org/10.1175/2009bams2671.1, 2010.
Hammer, E., Gysel, M., Roberts, G. C., Elias, T., Hofer, J., Hoyle, C. R., Bukowiecki, N., Dupont, J.-C., Burnet, F., Baltensperger, U., and Weingartner, E.: Size-dependent particle activation properties in fog during the ParisFog 2012/13 field campaign, Atmos. Chem. Phys., 14, 10517–10533, https://doi.org/10.5194/acp-14-10517-2014, 2014.
Holets, S. and Swanson, R. N.: High-Inversion Fog Episodes in Central
California, J. Appl. Meteorol. Clim., 20, 890–899,
https://doi.org/10.1175/1520-0450(1981)020<0890:hifeic>2.0.co;2, 1981.
Hu, W., Zhao, T., Bai, Y., Kong, S., Xiong, J., Sun, X., Yang, Q., Gu, Y.,
and Lu, H.: Importance of regional PM2.5 transport and precipitation washout in heavy air pollution in the Twain-Hu Basin over Central China:
Observational analysis and WRF-Chem simulation, Sci. Total Environ., 758,
143710, https://doi.org/10.1016/j.scitotenv.2020.143710, 2021.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res., 113, D13103, https://doi.org/10.1029/2008jd009944, 2008.
Iwabuchi, H., Putri, N. S., Saito, M., Tokoro, Y., Sekiguchi, M., Yang, P.,
and Baum, B. A.: Cloud property retrieval from multiband infrared
measurements by Himawari-8, J. Meteorol. Soc. Jpn. Ser. II, 96B, 27–42, https://doi.org/10.2151/jmsj.2018-001, 2018.
Japan Meteorological Agency (JMA): Himawari Cloud Property Data, Japan Meteorological Agency [data set], https://www.eorc.jaxa.jp/ptree/index.html (last access: 30 August 2023), 2018.
Jia, X., Quan, J., Zheng, Z., Liu, X., Liu, Q., He, H., and Liu, Y.: Impacts
of Anthropogenic Aerosols on Fog in North China Plain, J. Geophys. Res.-Atmos., 124, 252–265, https://doi.org/10.1029/2018jd029437, 2019.
Kim, C. K. and Yum, S. S.: Local meteorological and synoptic characteristics
of fogs formed over Incheon international airport in the west coast of
Korea, Adv. Atmos. Sci., 27, 761–776,
https://doi.org/10.1007/s00376-009-9090-7, 2010.
Kim, C. K. and Yum, S. S.: A numerical study of sea-fog formation over cold
sea surface using a one-dimensional turbulence model coupled with the
weather research and forecasting model, Bound.-Lay. Meteorol., 143,
481–505, https://doi.org/10.1007/s10546-012-9706-9, 2012.
Kim, C. K. and Yum, S. S.: A study on the transition mechanism of a stratus
cloud into a warm sea fog using a single column model PAFOG coupled with
WRF, Asia-Pac. J. Atmos. Sci., 49, 245–257,
https://doi.org/10.1007/s13143-013-0024-z, 2013.
Kumar, B., Bera, S., Prabha, T. V., and Grabowski, W. W.: Cloud-edge mixing:
Direct numerical simulation and observations in Indian Monsoon clouds, J.
Adv. Model. Earth Syst., 9, 332–353, https://doi.org/10.1002/2016ms000731, 2017.
Kumar, B., Ranjan, R., Yau, M.-K., Bera, S., and Rao, S. A.: Impact of high- and low-vorticity turbulence on cloud–environment mixing and cloud microphysics processes, Atmos. Chem. Phys., 21, 12317–12329, https://doi.org/10.5194/acp-21-12317-2021, 2021.
Lee, H.-H., Chen, S.-H., Kleeman, M. J., Zhang, H., DeNero, S. P., and Joe, D. K.: Implementation of warm-cloud processes in a source-oriented WRF/Chem model to study the effect of aerosol mixing state on fog formation in the Central Valley of California, Atmos. Chem. Phys., 16, 8353–8374, https://doi.org/10.5194/acp-16-8353-2016, 2016.
Letu, H., Yang, K., Nakajima, T. Y., Ishimoto, H., Nagao, T. M., Riedi, J.,
Baran, A. J., Ma, R., Wang, T., and Shang, H.: High-resolution retrieval of
cloud microphysical properties and surface solar radiation using
Himawari-8/AHI next-generation geostationary satellite, Remote Sens.
Environ., 239, 111583, https://doi.org/10.1016/j.rse.2019.111583, 2020.
Li, M., Liu, H., Geng, G., Hong, C., Liu, F., Song, Y., Tong, D., Zheng, B.,
Cui, H., Man, H., Zhang, Q., and He, K.: Anthropogenic emission inventories
in China: a review, Natl. Sci. Rev., 4, 834–866,
https://doi.org/10.1093/nsr/nwx150, 2017.
Li, Z., Guo, J., Ding, A., Liao, H., Liu, J., Sun, Y., Wang, T., Xue, H.,
Zhang, H., and Zhu, B.: Aerosol and boundary-layer interactions and impact
on air quality, Natl. Sci. Rev., 4, 810–833,
https://doi.org/10.1093/nsr/nwx117, 2017.
Liu, D., Yang, J., Niu, S., and Li, Z.: On the evolution and structure of a radiation fog event in Nanjing, Adv. Atmos. Sci., 28, 223–237, https://doi.org/10.1007/s00376-010-0017-0, 2010.
Liu, D. Y., Niu, S. J., Yang, J., Zhao, L. J., Lü, J. J., and Lu, C. S.:
Summary of a 4-Year Fog Field Study in Northern Nanjing, Part 1: Fog
Boundary Layer, Pure Appl. Geophys., 169, 809–819,
https://doi.org/10.1007/s00024-011-0343-x, 2011.
Liu, Y., Hua, S., Jia, R., and Huang, J.: Effect of Aerosols on the Ice
Cloud Properties Over the Tibetan Plateau, J. Geophys. Res.-Atmos., 124,
9594–9608, https://doi.org/10.1029/2019jd030463, 2019.
Liu, Y., Zhu, Q., Hua, S., Alam, K., Dai, T., and Cheng, Y.: Tibetan Plateau
driven impact of Taklimakan dust on northern rainfall, Atmos. Environ., 234,
117583, https://doi.org/10.1016/j.atmosenv.2020.117583, 2020.
Maalick, Z., Kühn, T., Korhonen, H., Kokkola, H., Laaksonen, A., and
Romakkaniemi, S.: Effect of aerosol concentration and absorbing aerosol on
the radiation fog life cycle, Atmos. Environ., 133, 26–33,
https://doi.org/10.1016/j.atmosenv.2016.03.018, 2016.
Maronga, B. and Bosveld, F. C.: Key parameters for the life cycle of
nocturnal radiation fog: a comprehensive large-eddy simulation study, Q. J.
Roy. Meteor. Soc., 143, 2463–2480, https://doi.org/10.1002/qj.3100, 2017.
Matsui, T., Zhang, S. Q., Lang, S. E., Tao, W.-K., Ichoku, C., and
Peters-Lidard, C. D.: Impact of radiation frequency, precipitation radiative
forcing, and radiation column aggregation on convection-permitting West
African monsoon simulations, Clim. Dynam., 55, 193–213,
https://doi.org/10.1007/s00382-018-4187-2, 2020.
Mazoyer, M., Lac, C., Thouron, O., Bergot, T., Masson, V., and Musson-Genon, L.: Large eddy simulation of radiation fog: impact of dynamics on the fog life cycle, Atmos. Chem. Phys., 17, 13017–13035, https://doi.org/10.5194/acp-17-13017-2017, 2017.
Mazoyer, M., Burnet, F., Denjean, C., Roberts, G. C., Haeffelin, M., Dupont, J.-C., and Elias, T.: Experimental study of the aerosol impact on fog microphysics, Atmos. Chem. Phys., 19, 4323–4344, https://doi.org/10.5194/acp-19-4323-2019, 2019.
Mazoyer, M., Burnet, F., and Denjean, C.: Experimental study on the evolution of droplet size distribution during the fog life cycle, Atmos. Chem. Phys., 22, 11305–11321, https://doi.org/10.5194/acp-22-11305-2022, 2022.
Mecikalski, J. R., Bedka, K. M., Paech, S. J., and Litten, L. A.: A
Statistical Evaluation of GOES Cloud-Top Properties for Nowcasting
Convective Initiation, Mon. Weather Rev., 136, 4899–4914,
https://doi.org/10.1175/2008mwr2352.1, 2008.
MEIC Team: The Multi-resolution Emission Inventory Model for Climate and Air Pollution Research, MEIC Model [data set], http://meicmodel.org.cn/?page_id=2351&lang=en#firstPage (last access: 22 April 2022), 2012.
Morrison, H., Curry, J., and Khvorostyanov, V.: A new double-moment
microphysics parameterization for application in cloud and climate models.
Part I: Description, J. Atmos. Sci., 62, 1665–1677,
https://doi.org/10.1175/JAS3446.1, 2005.
Nakanishi, M.: Large-eddy simulation of radiation fog, Bound.-Lay. Meteorol., 94, 461–493, https://doi.org/10.1023/A:1002490423389, 2000.
Nakanishi, M. and Niino, H.: Development of an Improved Turbulence Closure
Model for the Atmospheric Boundary Layer, J. Meteorol. Soc. Jpn., 87,
895–912, https://doi.org/10.2151/jmsj.87.895, 2009.
National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce: NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D6M043C6, 1999.
Niu, S., Lu, C., Yu, H., Zhao, L., and Lü, J.: Fog research in China: An
overview, Adv. Atmos. Sci., 27, 639–662, https://doi.org/10.1007/s00376-009-8174-8, 2010.
Niu, S. J., Liu, D. Y., Zhao, L. J., Lu, C. S., Lü, J. J., and Yang, J.:
Summary of a 4-Year Fog Field Study in Northern Nanjing, Part 2: Fog
Microphysics, Pure Appl. Geophys., 169, 1137–1155,
https://doi.org/10.1007/s00024-011-0344-9, 2011.
Petters, J. L., Harrington, J. Y., and Clothiaux, E. E.:
Radiative–dynamical feedbacks in low liquid water path stratiform clouds,
J. Atmos. Sci., 69, 1498–1512, https://doi.org/10.1175/JAS-D-11-0169.1, 2012.
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971, https://doi.org/10.5194/acp-7-1961-2007, 2007.
Poku, C., Ross, A. N., Hill, A. A., Blyth, A. M., and Shipway, B.: Is a more physical representation of aerosol activation needed for simulations of fog?, Atmos. Chem. Phys., 21, 7271–7292, https://doi.org/10.5194/acp-21-7271-2021, 2021.
Porson, A., Price, J., Lock, A., and Clark, P.: Radiation Fog. Part II:
Large-Eddy Simulations in Very Stable Conditions, Bound.-Lay. Meteorol.,
139, 193–224, https://doi.org/10.1007/s10546-010-9579-8, 2011.
Prabhakaran, P., Hoffmann, F., and Feingold, G.: Evaluation of Pulse Aerosol
Forcing on Marine Stratocumulus Clouds in the Context of Marine Cloud
Brightening, J. Atmos. Sci., 80, 1585–1604,
https://doi.org/10.1175/JAS-D-22-0207.1, 2023.
Price, J. D., Lane, S., Boutle, I. A., Smith, D. K. E., Bergot, T., Lac, C.,
Duconge, L., McGregor, J., Kerr-Munslow, A., Pickering, M., and Clark, R.:
LANFEX: A Field and Modeling Study to Improve Our Understanding and
Forecasting of Radiation Fog, B. Am. Meteorol. Soc., 99, 2061–2077,
https://doi.org/10.1175/bams-d-16-0299.1, 2018.
Quan, J., Zhang, Q., He, H., Liu, J., Huang, M., and Jin, H.: Analysis of the formation of fog and haze in North China Plain (NCP), Atmos. Chem. Phys., 11, 8205–8214, https://doi.org/10.5194/acp-11-8205-2011, 2011.
Quan, J., Liu, Y., Jia, X., Liu, L., Dou, Y., Xin, J., and Seinfeld, J. H.:
Anthropogenic aerosols prolong fog lifetime in China, Environ. Res. Lett.,
16, 044048, https://doi.org/10.1088/1748-9326/abef32, 2021.
Roach, W., Brown, R., Caughey, S., Garland, J., and Readings, C.: The
physics of radiation fog: I–a field study, Q. J. Roy. Meteor. Soc., 102,
313–333, https://doi.org/10.1002/qj.49710243204, 1976.
Román-Cascón, C., Yagüe, C., Steeneveld, G.-J., Sastre, M., Arrillaga, J. A., and Maqueda, G.: Estimating fog-top height through near-surface micrometeorological measurements, Atmos. Res., 170, 76–86, https://doi.org/10.1016/j.atmosres.2015.11.016, 2016.
Rosenfeld, D., Zhu, Y., Wang, M., Zheng, Y., Goren, T., and Yu, S.: Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds, Science, 363, eaav0566, https://doi.org/10.1126/science.aav0566, 2019.
Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J., Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., Kahn, R., Kraucunas, I., Kreidenweis, S. M., Molina, M. J., Nenes, A., Penner, J. E., Prather, K. A., Ramanathan, V., Ramaswamy, V., Rasch, P. J., Ravishankara, A. R., Rosenfeld, D., Stephens, G., and Wood, R.: Improving our fundamental understanding of the role of aerosol-cloud interactions in the climate system, P. Natl. Acad. Sci. USA., 113, 5781–5790, https://doi.org/10.1073/pnas.1514043113, 2016.
Shen, C., Zhao, C., Ma, N., Tao, J., Zhao, G., Yu, Y., and Kuang, Y.: Method
to Estimate Water Vapor Supersaturation in the Ambient Activation Process
Using Aerosol and Droplet Measurement Data, J. Geophys. Res.-Atmos., 123, 10606–10619, https://doi.org/10.1029/2018jd028315, 2018.
Shu, Z., Liu, Y., Zhao, T., Xia, J., Wang, C., Cao, L., Wang, H., Zhang, L., Zheng, Y., Shen, L., Luo, L., and Li, Y.: Elevated 3D structures of PM2.5 and impact of complex terrain-forcing circulations on heavy haze pollution over Sichuan Basin, China, Atmos. Chem. Phys., 21, 9253–9268, https://doi.org/10.5194/acp-21-9253-2021, 2021.
Simmel, M. and Wurzler, S.: Condensation and activation in sectional cloud
microphysical models, Atmos. Res., 80, 218–236,
https://doi.org/10.1016/j.atmosres.2005.08.002, 2006.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J., Duda, M., and Barker, D.: A description of the advanced research WRF version 4, NCAR tech. note ncar/tn-556+ str, National Center for Atmospheric Research: Boulder, CO, USA, https://doi.org/10.5065/1dfh-6p97, 2019 (data available at: https://github.com/wrf-model/WRF/releases/tag/v4.1.3, last access: 30 August 2023).
Steeneveld, G. J. and de Bode, M.: Unravelling the relative roles of
physical processes in modelling the life cycle of a warm radiation fog, Q.
J. Roy. Meteor. Soc., 144, 1539–1554, https://doi.org/10.1002/qj.3300, 2018.
Stolaki, S., Haeffelin, M., Lac, C., Dupont, J. C., Elias, T., and Masson,
V.: Influence of aerosols on the life cycle of a radiation fog event. A
numerical and observational study, Atmos. Res., 151, 146–161,
https://doi.org/10.1016/j.atmosres.2014.04.013, 2015.
Toll, V., Christensen, M., Quaas, J., and Bellouin, N.: Weak average
liquid-cloud-water response to anthropogenic aerosols, Nature, 572, 51–55,
https://doi.org/10.1038/s41586-019-1423-9, 2019.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds, J.
Atmos. Sci., 34, 1149–1152,
https://doi.org/10.1175/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2, 1977.
Vautard, R., Yiou, P., and van Oldenborgh, G. J.: Decline of fog, mist and
haze in Europe over the past 30 years, Nat. Geosci., 2, 115–119,
https://doi.org/10.1038/ngeo414, 2009.
Wærsted, E. G., Haeffelin, M., Dupont, J.-C., Delanoë, J., and Dubuisson, P.: Radiation in fog: quantification of the impact on fog liquid water based on ground-based remote sensing, Atmos. Chem. Phys., 17, 10811–10835, https://doi.org/10.5194/acp-17-10811-2017, 2017.
Wang, Y., Fan, J., Zhang, R., Leung, L. R., and Franklin, C.: Improving bulk
microphysics parameterizations in simulations of aerosol effects, J.
Geophys. Res.-Atmos., 118, 5361–5379, https://doi.org/10.1002/jgrd.50432,
2013.
Wang, Y., Vogel, J. M., Lin, Y., Pan, B., Hu, J., Liu, Y., Dong, X., Jiang,
J. H., Yung, Y. L., and Zhang, R.: Aerosol microphysical and radiative
effects on continental cloud ensembles, Adv. Atmos. Sci., 35, 234–247,
https://doi.org/10.1007/s00376-017-7091-5, 2018.
Wang, Y., Niu, S., Lu, C., Lv, J., Zhang, J., Zhang, H., Zhang, S., Shao,
N., Sun, W., Jin, Y., and Song, Q.: Observational study of the physical and
chemical characteristics of the winter radiation fog in the tropical
rainforest in Xishuangbanna, China, Sci. China, Ser. D Earth Sci., 64,
1982–1995, https://doi.org/10.1007/s11430-020-9766-4, 2021.
Wang, Y., Lu, C., Niu, S., Lv, J., Jia, X., Xu, X., Xue, Y., Zhu, L., and
Yan, S.: Diverse dispersion effects and parameterization of relative
dispersion in urban fog in eastern China, J. Geophys. Res.-Atmos., 128,
e2022JD037514, https://doi.org/10.1029/2022JD037514, 2023.
WMO: International meteorological vocabulary, World Meteorological Organization, Geneva, Switzerland, 784 pp., ISBN 978-92-63-02182-3, 1992.
Xu, X., Lu, C., Liu, Y., Gao, W., Wang, Y., Cheng, Y., Luo, S., and Van
Weverberg, K.: Effects of Cloud Liquid-Phase Microphysical Processes in
Mixed-Phase Cumuli Over the Tibetan Plateau, J. Geophys. Res.-Atmos., 125, e2020JD033371, https://doi.org/10.1029/2020jd033371, 2020.
Yamane, Y., Hayashi, T., Dewan, A. M., and Akter, F.: Severe local
convective storms in Bangladesh: Part II, Atmos. Res., 95, 407–418,
https://doi.org/10.1016/j.atmosres.2009.11.003, 2010.
Yan, S., Zhu, B., Huang, Y., Zhu, J., Kang, H., Lu, C., and Zhu, T.: To what extents do urbanization and air pollution affect fog?, Atmos. Chem. Phys., 20, 5559–5572, https://doi.org/10.5194/acp-20-5559-2020, 2020.
Yan, S., Zhu, B., Zhu, T., Shi, C., Liu, D., Kang, H., Lu, W., and Lu, C.:
The Effect of Aerosols on Fog Lifetime: Observational Evidence and Model
Simulations, Geophys. Res. Lett., 48, e2020GL61803, https://doi.org/10.1029/2020gl091156, 2021.
Yang, Q., Zhao, T., Tian, Z., Kumar, K. R., Chang, J., Hu, W., Shu, Z., and
Hu, J.: The Cross-Border Transport of PM2.5 from the Southeast Asian Biomass Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau,
Southwest China, Remote Sens., 14, 1886, https://doi.org/10.3390/rs14081886, 2022.
Yang, Y., Hu, X.-M., Gao, S., and Wang, Y.: Sensitivity of WRF simulations
with the YSU PBL scheme to the lowest model level height for a sea fog event
over the Yellow Sea, Atmos. Res., 215, 253–267,
https://doi.org/10.1016/j.atmosres.2018.09.004, 2019.
Yang, Y., Zhao, C., and Fan, H.: Spatiotemporal distributions of cloud
properties over China based on Himawari-8 advanced Himawari imager data,
Atmos. Res., 240, 104927, https://doi.org/10.1016/j.atmosres.2020.104927, 2020.
Ye, X., Wu, B., and Zhang, H.: The turbulent structure and transport in fog
layers observed over the Tianjin area, Atmos. Res., 153, 217–234,
https://doi.org/10.1016/j.atmosres.2014.08.003, 2015.
Yum, S. S. and Hudson, J. G.: Adiabatic predictions and observations of
cloud droplet spectral broadness, Atmos. Res., 73, 203–223,
https://doi.org/10.1016/j.atmosres.2004.10.006, 2005.
Zaveri, R. A. and Peters, L. K.: A new lumped structure photochemical
mechanism for large-scale applications, J. Geophys. Res.-Atmos., 104,
30387–30415, https://doi.org/10.1029/1999jd900876, 1999.
Zaveri, R. A., Easter, R. C., Fast, J. D., and Peters, L. K.: Model for
Simulating Aerosol Interactions and Chemistry (MOSAIC), J. Geophys. Res.,
113, D13204, https://doi.org/10.1029/2007jd008782, 2008.
Zhai, S., An, X., Zhao, T., Sun, Z., Wang, W., Hou, Q., Guo, Z., and Wang, C.: Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model, Atmos. Chem. Phys., 18, 6241–6258, https://doi.org/10.5194/acp-18-6241-2018, 2018.
Zhao, C. and Garrett, T. J.: Effects of Arctic haze on surface cloud
radiative forcing, Geophys. Res. Lett., 42, 557–564,
https://doi.org/10.1002/2014gl062015, 2015.
Zhao, L., Niu, S., Zhang, Y., and Xu, F.: Microphysical characteristics of
sea fog over the east coast of Leizhou Peninsula, China, Adv. Atmos. Sci.,
30, 1154–1172, https://doi.org/10.1007/s00376-012-1266-x, 2013.
Zhao, L., Zhao, C., Wang, Y., Wang, Y., and Yang, Y.: Evaluation of cloud
microphysical properties derived from MODIS and Himawari-8 using in situ
aircraft measurements over the Southern Ocean, Earth Space Sci., 7,
e2020EA001137, https://doi.org/10.1029/2020EA001137, 2020.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q.: Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys., 18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018, 2018.
Zhong, J., Zhang, X., Wang, Y., Liu, C., and Dong, Y.: Heavy aerosol
pollution episodes in winter Beijing enhanced by radiative cooling effects
of aerosols, Atmos. Res., 209, 59–64,
https://doi.org/10.1016/j.atmosres.2018.03.011, 2018.
Zhou, B. and Du, J.: Fog Prediction from a Multimodel Mesoscale Ensemble Prediction System, Weather Forecast., 25, 303–322, https://doi.org/10.1175/2009waf2222289.1, 2010.
Zhou, B. and Ferrier, B. S.: Asymptotic Analysis of Equilibrium in Radiation
Fog, J. Appl. Meteorol. Clim., 47, 1704–1722,
https://doi.org/10.1175/2007jamc1685.1, 2008.
Zhou, B., Du, J., Gultepe, I., and Dimego, G.: Forecast of Low Visibility and Fog from NCEP: Current Status and Efforts, Pure Appl. Geophys., 169, 895–909, https://doi.org/10.1007/s00024-011-0327-x, 2011.
Zhu, J. and Penner, J. E.: Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme, Atmos. Chem. Phys., 20, 7801–7827, https://doi.org/10.5194/acp-20-7801-2020, 2020.
Zhu, J., Zhu, B., Huang, Y., An, J., and Xu, J.: PM2.5 vertical variation during a fog episode in a rural area of the Yangtze River Delta, China, Sci. Total Environ., 685, 555–563,
https://doi.org/10.1016/j.scitotenv.2019.05.319, 2019a.
Zhu, J., Penner, J. E., Yu, F., Sillman, S., Andreae, M. O., and Coe, H.: Decrease in radiative forcing by organic aerosol nucleation, climate, and land use change, Nat. Commun., 10, 423, https://doi.org/10.1038/s41467-019-08407-7, 2019b.
Short summary
Fog is an important meteorological phenomenon that affects visibility. Aerosols and the planetary boundary layer (PBL) play critical roles in the fog life cycle. In this study, aerosol-induced changes in fog properties become more remarkable in the second fog (Fog2) than in the first fog (Fog1). The reason is that aerosol–cloud interaction (ACI) delays Fog1 dissipation, leading to the PBL meteorological conditions being more conducive to Fog2 formation and to stronger ACI in Fog2.
Fog is an important meteorological phenomenon that affects visibility. Aerosols and the...
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