Articles | Volume 21, issue 22
https://doi.org/10.5194/acp-21-16827-2021
© Author(s) 2021. 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-21-16827-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Nov 2021
Research article |
| 19 Nov 2021
| 19 Nov 2021
Impact of modified turbulent diffusion of PM2.5 aerosol in WRF-Chem simulations in eastern China
Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological
Administration, Nanjing University of Information Science & Technology,
Nanjing, 210044, China
Xiaoye Zhang
Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Center for Excellence in Regional Atmospheric Environment, IUE,
Chinese Academy of Sciences, Xiamen, 361021, China
Related authors
Wenjie Zhang, Hong Wang, Xiaoye Zhang, Yue Peng, Zhaodong Liu, Deying Wang, Da Zhang, Chen Han, Yang Zhao, Junting Zhong, Wenxing Jia, Huiqiong Ning, and Huizheng Che
Atmos. Chem. Phys., 25, 9005–9030, https://doi.org/10.5194/acp-25-9005-2025, https://doi.org/10.5194/acp-25-9005-2025, 2025
Short summary
Short summary
This study achieves quantifiable subgrid-scale aerosol–cloud interaction in an atmospheric chemistry system, with better performance in terms of meteorology prediction, and further finds that subgrid-scale actual aerosol can somewhat improve overestimated cumulative precipitation during a typical heavy rainfall event, which helps us better understand the impact of subgrid-scale aerosol–cloud interaction on weather forecasts.
Yongzhu Liu, Xiaoye Zhang, Wei Han, Chao Wang, Wenxing Jia, Deying Wang, Zhaorong Zhuang, and Xueshun Shen
Geosci. Model Dev., 18, 4855–4876, https://doi.org/10.5194/gmd-18-4855-2025, https://doi.org/10.5194/gmd-18-4855-2025, 2025
Short summary
Short summary
In order to investigate the feedbacks of chemical data assimilation on meteorological forecasts, we developed a strongly coupled aerosol–meteorology four-dimensional variational (4D-Var) assimilation system, CMA-GFS-AERO 4D-Var, based on the framework of the incremental analysis scheme of the China Meteorological Administration Global Forecasting System (CMA-GFS) operational global numerical weather model. The results show that assimilating BC (black carbon) observations can generate analysis increments not only for BC but also for atmospheric variables.
Wenxing Jia, Xiaoye Zhang, Hong Wang, Yaqiang Wang, Deying Wang, Junting Zhong, Wenjie Zhang, Lei Zhang, Lifeng Guo, Yadong Lei, Jizhi Wang, Yuanqin Yang, and Yi Lin
Geosci. Model Dev., 16, 6833–6856, https://doi.org/10.5194/gmd-16-6833-2023, https://doi.org/10.5194/gmd-16-6833-2023, 2023
Short summary
Short summary
In addition to the dominant role of the PBL scheme on the results of the meteorological field, many factors in the model are influenced by large uncertainties. This study focuses on the uncertainties that influence numerical simulation results (including horizontal resolution, vertical resolution, near-surface scheme, initial and boundary conditions, underlying surface update, and update of model version), hoping to provide a reference for scholars conducting research on the model.
Wenxing Jia, Xiaoye Zhang, Hong Wang, Yaqiang Wang, Deying Wang, Junting Zhong, Wenjie Zhang, Lei Zhang, Lifeng Guo, Yadong Lei, Jizhi Wang, Yuanqin Yang, and Yi Lin
Geosci. Model Dev., 16, 6635–6670, https://doi.org/10.5194/gmd-16-6635-2023, https://doi.org/10.5194/gmd-16-6635-2023, 2023
Short summary
Short summary
Most current studies on planetary boundary layer (PBL) parameterization schemes are relatively fragmented and lack systematic in-depth analysis and discussion. In this study, we comprehensively evaluate the performance capability of the PBL scheme in five typical regions of China in different seasons from the mechanism of the scheme and the effects of PBL schemes on the near-surface meteorological parameters, vertical structures of the PBL, PBL height, and turbulent diffusion.
Hongyi Ding, Le Cao, Haimei Jiang, Wenxing Jia, Yong Chen, and Junling An
Geosci. Model Dev., 14, 6135–6153, https://doi.org/10.5194/gmd-14-6135-2021, https://doi.org/10.5194/gmd-14-6135-2021, 2021
Short summary
Short summary
We performed a WRF model study to figure out the mechanism of how the change in minimum eddy diffusivity (Kzmin) in the planetary boundary layer (PBL) closure scheme (ACM2) affects the simulated near-surface temperature in Beijing, China. Moreover, the influence of changing Kzmin on the temperature prediction in areas with different land-use categories was studied. The model performance using a functional-type Kzmin for capturing the temperature change in this area was also clarified.
Jian Zhang, Chunhong Zhou, Xiaoyu Shen, Hong Wang, and Xiaoye Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-4127, https://doi.org/10.5194/egusphere-2025-4127, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
To quantitatively investigate the influence of ice nuclei (IN) activated by dust aerosols on cloud and precipitation during a typical dust-affected precipitation event in China, this study enhances the GRAPES/CUACE model by incorporating an online-aerosol–IN nucleation scheme, which can not only modify the spatial distribution and density of IN and distribution of hydrometeors, but also ultimately improve precipitation simulation by 15 % through modulating the distribution of precipitation.
Xinyao Hu, Aoyuan Yu, Xiaojing Shen, Jiayuan Lu, Yangmei Zhang, Quan Liu, Lei Liu, Linlin Liang, Hongfei Tong, Qianli Ma, Shuxian Zhang, Bing Qi, Rongguang Du, Huizheng Che, Xiaoye Zhang, and Junying Sun
EGUsphere, https://doi.org/10.5194/egusphere-2025-3796, https://doi.org/10.5194/egusphere-2025-3796, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Simultaneous measurements of aerosol hygroscopicity and volatility were performed using Volatility-Hygroscopicity Tandem Differential Mobility Analyzer in Beijing. The results reveal that hygroscopicity and volatility of accumulated mode particles are significantly influenced by dust. The size dependences of hygroscopicity and volatility during dust period were different from that before dust period. During dust period, the particles at 300 nm were hydrophobic and less volatile.
Wenjie Zhang, Hong Wang, Xiaoye Zhang, Yue Peng, Zhaodong Liu, Deying Wang, Da Zhang, Chen Han, Yang Zhao, Junting Zhong, Wenxing Jia, Huiqiong Ning, and Huizheng Che
Atmos. Chem. Phys., 25, 9005–9030, https://doi.org/10.5194/acp-25-9005-2025, https://doi.org/10.5194/acp-25-9005-2025, 2025
Short summary
Short summary
This study achieves quantifiable subgrid-scale aerosol–cloud interaction in an atmospheric chemistry system, with better performance in terms of meteorology prediction, and further finds that subgrid-scale actual aerosol can somewhat improve overestimated cumulative precipitation during a typical heavy rainfall event, which helps us better understand the impact of subgrid-scale aerosol–cloud interaction on weather forecasts.
Yongzhu Liu, Xiaoye Zhang, Wei Han, Chao Wang, Wenxing Jia, Deying Wang, Zhaorong Zhuang, and Xueshun Shen
Geosci. Model Dev., 18, 4855–4876, https://doi.org/10.5194/gmd-18-4855-2025, https://doi.org/10.5194/gmd-18-4855-2025, 2025
Short summary
Short summary
In order to investigate the feedbacks of chemical data assimilation on meteorological forecasts, we developed a strongly coupled aerosol–meteorology four-dimensional variational (4D-Var) assimilation system, CMA-GFS-AERO 4D-Var, based on the framework of the incremental analysis scheme of the China Meteorological Administration Global Forecasting System (CMA-GFS) operational global numerical weather model. The results show that assimilating BC (black carbon) observations can generate analysis increments not only for BC but also for atmospheric variables.
Xiaojing Shen, Quan Liu, Junying Sun, Wanlin Kong, Qianli Ma, Bing Qi, Lujie Han, Yangmei Zhang, Linlin Liang, Lei Liu, Shuo Liu, Xinyao Hu, Jiayuan Lu, Aoyuan Yu, Huizheng Che, and Xiaoye Zhang
Atmos. Chem. Phys., 25, 5711–5725, https://doi.org/10.5194/acp-25-5711-2025, https://doi.org/10.5194/acp-25-5711-2025, 2025
Short summary
Short summary
In this work, an automatic switched inlet system was developed and employed to investigate the aerosols and cloud droplets at a mountain site with frequent cloud processes. It showed different characteristics of cloud residual and interstitial particles. Stronger particle hygroscopicity reduced liquid water content and smaller cloud droplet diameters. This investigation contributes to understanding aerosol–cloud interactions by assessing the impact of aerosol particles on cloud microphysics.
Aoyuan Yu, Xiaojing Shen, Qianli Ma, Jiayuan Lu, Xinyao Hu, Yangmei Zhang, Quan Liu, Linlin Liang, Lei Liu, Shuo Liu, Hongfei Tong, Huizheng Che, Xiaoye Zhang, and Junying Sun
Atmos. Chem. Phys., 25, 3389–3412, https://doi.org/10.5194/acp-25-3389-2025, https://doi.org/10.5194/acp-25-3389-2025, 2025
Short summary
Short summary
In this work, we utilized a volatility hygroscopicity tandem differential mobility analyzer (VH-TDMA) to investigate, for the first time, the hygroscopicity and volatility of submicron aerosols, as well as their hygroscopicity after heating, in urban Beijing during the autumn of 2023. We analyzed the size-resolved characteristics of hygroscopicity and volatility, the relationship between hygroscopic and volatile properties, and the hygroscopicity of heated submicron aerosols.
Quan Liu, Xiaojing Shen, Junying Sun, Yangmei Zhang, Bing Qi, Qianli Ma, Lujie Han, Honghui Xu, Xinyao Hu, Jiayuan Lu, Shuo Liu, Aoyuan Yu, Linlin Liang, Qian Gao, Hong Wang, Huizheng Che, and Xiaoye Zhang
Atmos. Chem. Phys., 25, 3253–3267, https://doi.org/10.5194/acp-25-3253-2025, https://doi.org/10.5194/acp-25-3253-2025, 2025
Short summary
Short summary
Through simultaneous measurements of aerosol particles and fog droplets, the evolution of droplets size distribution during the eight observed fog events was investigated. The results showed that the concentration and size distribution of pre-fog aerosol had significant impacts on fog microphysical characteristics. The extinction of fog interstitial particles played an important role in visibility degradation for light fogs, especially in polluted regions.
Xuan Wang, Lei Bi, Hong Wang, Yaqiang Wang, Wei Han, Xueshun Shen, and Xiaoye Zhang
Geosci. Model Dev., 18, 117–139, https://doi.org/10.5194/gmd-18-117-2025, https://doi.org/10.5194/gmd-18-117-2025, 2025
Short summary
Short summary
The Artificial-Intelligence-based Nonspherical Aerosol Optical Scheme (AI-NAOS) was developed to improve the estimation of the aerosol direct radiation effect and was coupled online with a chemical weather model. The AI-NAOS scheme considers black carbon as fractal aggregates and soil dust as super-spheroids, encapsulated with hygroscopic aerosols. Real-case simulations emphasize the necessity of accurately representing nonspherical and inhomogeneous aerosols in chemical weather models.
Wenxing Jia, Xiaoye Zhang, Hong Wang, Yaqiang Wang, Deying Wang, Junting Zhong, Wenjie Zhang, Lei Zhang, Lifeng Guo, Yadong Lei, Jizhi Wang, Yuanqin Yang, and Yi Lin
Geosci. Model Dev., 16, 6833–6856, https://doi.org/10.5194/gmd-16-6833-2023, https://doi.org/10.5194/gmd-16-6833-2023, 2023
Short summary
Short summary
In addition to the dominant role of the PBL scheme on the results of the meteorological field, many factors in the model are influenced by large uncertainties. This study focuses on the uncertainties that influence numerical simulation results (including horizontal resolution, vertical resolution, near-surface scheme, initial and boundary conditions, underlying surface update, and update of model version), hoping to provide a reference for scholars conducting research on the model.
Wenxing Jia, Xiaoye Zhang, Hong Wang, Yaqiang Wang, Deying Wang, Junting Zhong, Wenjie Zhang, Lei Zhang, Lifeng Guo, Yadong Lei, Jizhi Wang, Yuanqin Yang, and Yi Lin
Geosci. Model Dev., 16, 6635–6670, https://doi.org/10.5194/gmd-16-6635-2023, https://doi.org/10.5194/gmd-16-6635-2023, 2023
Short summary
Short summary
Most current studies on planetary boundary layer (PBL) parameterization schemes are relatively fragmented and lack systematic in-depth analysis and discussion. In this study, we comprehensively evaluate the performance capability of the PBL scheme in five typical regions of China in different seasons from the mechanism of the scheme and the effects of PBL schemes on the near-surface meteorological parameters, vertical structures of the PBL, PBL height, and turbulent diffusion.
Yue Peng, Hong Wang, Xiaoye Zhang, Zhaodong Liu, Wenjie Zhang, Siting Li, Chen Han, and Huizheng Che
Atmos. Chem. Phys., 23, 8325–8339, https://doi.org/10.5194/acp-23-8325-2023, https://doi.org/10.5194/acp-23-8325-2023, 2023
Short summary
Short summary
This study demonstrates a strong link between local circulation, aerosol–radiation interaction (ARI), and haze pollution. Under the weak weather-scale systems, the typical local circulation driven by mountainous topography is the main cause of pollutant distribution in the Beijing–Tianjin–Hebei region, and the ARI mechanism amplifies this influence of local circulation on pollutants, making haze pollution aggravated by the superposition of both.
Siting Li, Ping Wang, Hong Wang, Yue Peng, Zhaodong Liu, Wenjie Zhang, Hongli Liu, Yaqiang Wang, Huizheng Che, and Xiaoye Zhang
Geosci. Model Dev., 16, 4171–4191, https://doi.org/10.5194/gmd-16-4171-2023, https://doi.org/10.5194/gmd-16-4171-2023, 2023
Short summary
Short summary
Optimizing the initial state of atmospheric chemistry model input is one of the most essential methods to improve forecast accuracy. Considering the large computational load of the model, we introduce an ensemble optimal interpolation scheme (EnOI) for operational use and efficient updating of the initial fields of chemical components. The results suggest that EnOI provides a practical and cost-effective technique for improving the accuracy of chemical weather numerical forecasts.
Xiaojing Shen, Junying Sun, Huizheng Che, Yangmei Zhang, Chunhong Zhou, Ke Gui, Wanyun Xu, Quan Liu, Junting Zhong, Can Xia, Xinyao Hu, Sinan Zhang, Jialing Wang, Shuo Liu, Jiayuan Lu, Aoyuan Yu, and Xiaoye Zhang
Atmos. Chem. Phys., 23, 8241–8257, https://doi.org/10.5194/acp-23-8241-2023, https://doi.org/10.5194/acp-23-8241-2023, 2023
Short summary
Short summary
New particle formation (NPF) events occur when the dust episodes' fade is analysed based on long-term measurement of particle number size distribution. Analysis shows that the observed formation and growth rates are approximately 50 % of and 30 % lower than those of other NPF events. As a consequence of the uptake of precursor gases on mineral dust, the physical and chemical properties of submicron particles, as well as the ability to be cloud condensation nuclei, can be changed.
Xinyao Hu, Junying Sun, Can Xia, Xiaojing Shen, Yangmei Zhang, Quan Liu, Zhaodong Liu, Sinan Zhang, Jialing Wang, Aoyuan Yu, Jiayuan Lu, Shuo Liu, and Xiaoye Zhang
Atmos. Chem. Phys., 23, 5517–5531, https://doi.org/10.5194/acp-23-5517-2023, https://doi.org/10.5194/acp-23-5517-2023, 2023
Short summary
Short summary
The simultaneous measurements under dry conditions of aerosol optical properties were conducted at three wavelengths for PM1 and PM10 in urban Beijing from 2018 to 2021. Considerable reductions in aerosol absorption coefficient and increased single scattering albedo demonstrated that absorbing aerosols were more effectively controlled than scattering aerosols due to pollution control measures. The aerosol radiative effect and the transport's impact on aerosol optical properties were analysed.
Yingfang Li, Zhili Wang, Yadong Lei, Huizheng Che, and Xiaoye Zhang
Atmos. Chem. Phys., 23, 2499–2523, https://doi.org/10.5194/acp-23-2499-2023, https://doi.org/10.5194/acp-23-2499-2023, 2023
Short summary
Short summary
Since few studies have assessed the impacts of future combined reductions in aerosols, ozone, and their precursors on future climate change, we use models with an interactive representation of tropospheric aerosols and atmospheric chemistry schemes to quantify the impact of their reductions on the Asian climate. Our results suggest that their reductions will exacerbate the warming effect caused by greenhouse gases, increasing future climate extremes and associated population exposure risk.
Wenjie Zhang, Hong Wang, Xiaoye Zhang, Liping Huang, Yue Peng, Zhaodong Liu, Xiao Zhang, and Huizheng Che
Atmos. Chem. Phys., 22, 15207–15221, https://doi.org/10.5194/acp-22-15207-2022, https://doi.org/10.5194/acp-22-15207-2022, 2022
Short summary
Short summary
Aerosol–cloud interaction (ACI) is first implemented in the atmospheric chemistry system GRAPES_Meso5.1/CUACE. ACI can improve the simulated cloud, temperature, and precipitation under haze pollution conditions in Jing-Jin-Ji in China. This paper demonstrates the critical role of ACI in current numerical weather prediction over the severely polluted region.
Mengying Li, Shaocai Yu, Xue Chen, Zhen Li, Yibo Zhang, Zhe Song, Weiping Liu, Pengfei Li, Xiaoye Zhang, Meigen Zhang, Yele Sun, Zirui Liu, Caiping Sun, Jingkun Jiang, Shuxiao Wang, Benjamin N. Murphy, Kiran Alapaty, Rohit Mathur, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 22, 11845–11866, https://doi.org/10.5194/acp-22-11845-2022, https://doi.org/10.5194/acp-22-11845-2022, 2022
Short summary
Short summary
This study constructed an emission inventory of condensable particulate matter (CPM) in China with a focus on organic aerosols (OAs), based on collected CPM emission information. The results show that OA emissions are enhanced twofold for the years 2014 and 2017 after the inclusion of CPM in the new inventory. Sensitivity cases demonstrated the significant contributions of CPM emissions from stationary combustion and mobile sources to primary, secondary, and total OA concentrations.
Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik
Earth Syst. Sci. Data, 14, 3439–3469, https://doi.org/10.5194/essd-14-3439-2022, https://doi.org/10.5194/essd-14-3439-2022, 2022
Short summary
Short summary
A climatology of aerosol composition concentration derived from POLDER-3 observations using GRASP/Component is presented. The conceptual specifics of the GRASP/Component approach are in the direct retrieval of aerosol speciation without intermediate retrievals of aerosol optical characteristics. The dataset of satellite-derived components represents scarce but imperative information for validation and potential adjustment of chemical transport models.
Junting Zhong, Xiaoye Zhang, Ke Gui, Jie Liao, Ye Fei, Lipeng Jiang, Lifeng Guo, Liangke Liu, Huizheng Che, Yaqiang Wang, Deying Wang, and Zijiang Zhou
Earth Syst. Sci. Data, 14, 3197–3211, https://doi.org/10.5194/essd-14-3197-2022, https://doi.org/10.5194/essd-14-3197-2022, 2022
Short summary
Short summary
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for research and environmental management. Here, we reconstruct site-based and gridded PM2.5 datasets at 6-hour intervals from 1960 to 2020 that combine visibility, meteorological data, and emissions based on a machine learning model with extracted spatial features. These two PM2.5 datasets will lay the foundation of research studies associated with air pollution, climate change, and aerosol reanalysis.
Haochi Che, Michal Segal-Rozenhaimer, Lu Zhang, Caroline Dang, Paquita Zuidema, Arthur J. Sedlacek III, Xiaoye Zhang, and Connor Flynn
Atmos. Chem. Phys., 22, 8767–8785, https://doi.org/10.5194/acp-22-8767-2022, https://doi.org/10.5194/acp-22-8767-2022, 2022
Short summary
Short summary
A 17-month in situ study on Ascension Island found low single-scattering albedo and strong absorption enhancement of the marine boundary layer aerosols during biomass burnings on the African continent, along with apparent patterns of regular monthly variability. We further discuss the characteristics and drivers behind these changes and find that biomass burning conditions in Africa may be the main factor influencing the optical properties of marine boundary aerosols.
Ke Gui, Wenrui Yao, Huizheng Che, Linchang An, Yu Zheng, Lei Li, Hujia Zhao, Lei Zhang, Junting Zhong, Yaqiang Wang, and Xiaoye Zhang
Atmos. Chem. Phys., 22, 7905–7932, https://doi.org/10.5194/acp-22-7905-2022, https://doi.org/10.5194/acp-22-7905-2022, 2022
Short summary
Short summary
This study investigates the aerosol optical and radiative properties and meteorological drivers during two mega SDS events over Northern China in March 2021. The MODIS-retrieved DOD data registered these two events as the most intense episode in the same period in history over the past 20 years. These two extreme SDS events were associated with both atmospheric circulation extremes and local meteorological anomalies that favor enhanced dust emissions in the Gobi Desert.
Yu Zheng, Huizheng Che, Yupeng Wang, Xiangao Xia, Xiuqing Hu, Xiaochun Zhang, Jun Zhu, Jibiao Zhu, Hujia Zhao, Lei Li, Ke Gui, and Xiaoye Zhang
Atmos. Meas. Tech., 15, 2139–2158, https://doi.org/10.5194/amt-15-2139-2022, https://doi.org/10.5194/amt-15-2139-2022, 2022
Short summary
Short summary
Ground-based observations of aerosols and aerosol data verification is important for satellite and climate model modification. Here we present an evaluation of aerosol microphysical, optical and radiative properties measured using a multiwavelength photometer with a highly integrated design and smart control performance. The validation of this product is discussed in detail using AERONET as a reference. This work contributes to reducing AOD uncertainties in China and combating climate change.
Ke Gui, Huizheng Che, Yu Zheng, Hujia Zhao, Wenrui Yao, Lei Li, Lei Zhang, Hong Wang, Yaqiang Wang, and Xiaoye Zhang
Atmos. Chem. Phys., 21, 15309–15336, https://doi.org/10.5194/acp-21-15309-2021, https://doi.org/10.5194/acp-21-15309-2021, 2021
Short summary
Short summary
This study utilized the globally gridded aerosol extinction data from CALIOP during 2007–2019 to investigate the 3D climatology, trends, and meteorological drivers of tropospheric type-dependent aerosols. Results revealed that the planetary boundary layer (PBL) and the free troposphere contribute 62.08 % and 37.92 %, respectively, of the global tropospheric TAOD. Trends in
CALIOP-derived aerosol loading, in particular those partitioned in the PBL, can be explained to a large extent by meteorology.
Hongyi Ding, Le Cao, Haimei Jiang, Wenxing Jia, Yong Chen, and Junling An
Geosci. Model Dev., 14, 6135–6153, https://doi.org/10.5194/gmd-14-6135-2021, https://doi.org/10.5194/gmd-14-6135-2021, 2021
Short summary
Short summary
We performed a WRF model study to figure out the mechanism of how the change in minimum eddy diffusivity (Kzmin) in the planetary boundary layer (PBL) closure scheme (ACM2) affects the simulated near-surface temperature in Beijing, China. Moreover, the influence of changing Kzmin on the temperature prediction in areas with different land-use categories was studied. The model performance using a functional-type Kzmin for capturing the temperature change in this area was also clarified.
Qingyang Xiao, Yixuan Zheng, Guannan Geng, Cuihong Chen, Xiaomeng Huang, Huizheng Che, Xiaoye Zhang, Kebin He, and Qiang Zhang
Atmos. Chem. Phys., 21, 9475–9496, https://doi.org/10.5194/acp-21-9475-2021, https://doi.org/10.5194/acp-21-9475-2021, 2021
Short summary
Short summary
We used both statistical methods and a chemical transport model to assess the contribution of meteorology and emissions to PM2.5 during 2000–2018. Both methods revealed that emissions dominated the long-term PM2.5 trend with notable meteorological effects ranged up to 37.9 % of regional annual average PM2.5. The meteorological contribution became more beneficial to PM2.5 control in southern China but more unfavorable in northern China during the studied period.
Xiaojing Shen, Junying Sun, Fangqun Yu, Ying Wang, Junting Zhong, Yangmei Zhang, Xinyao Hu, Can Xia, Sinan Zhang, and Xiaoye Zhang
Atmos. Chem. Phys., 21, 7039–7052, https://doi.org/10.5194/acp-21-7039-2021, https://doi.org/10.5194/acp-21-7039-2021, 2021
Short summary
Short summary
In this work, we revealed the changes of PNSD and NPF events during the COVID-19 lockdown period in Beijing, China, to illustrate the impact of reduced primary emission and elavated atmospheric oxidized capicity on the nucleation and growth processes. The subsequent growth of nucleated particles and their contribution to the aerosol pollution formation were also explored, to highlight the necessity of controlling the nanoparticles in the future air quality management.
Linlin Liang, Guenter Engling, Chang Liu, Wanyun Xu, Xuyan Liu, Yuan Cheng, Zhenyu Du, Gen Zhang, Junying Sun, and Xiaoye Zhang
Atmos. Chem. Phys., 21, 3181–3192, https://doi.org/10.5194/acp-21-3181-2021, https://doi.org/10.5194/acp-21-3181-2021, 2021
Short summary
Short summary
A unique episode with extreme biomass burning (BB) impact, with daily concentration of levoglucosan as high as 4.37 µg m-3, was captured at an area upwind of Beijing. How this extreme BB pollution event was generated and what were the chemical properties of PM2.5 under this kind severe BB pollution level in the real atmospheric environment were both presented in this measurement report. Moreover, the variation of the ratios of BB tracers during different BB pollution periods was also exhibited.
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
Short summary
Short summary
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.
Cited articles
Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S.,
and Shankar, U.: Modal aerosol dynamics model for Europe, Atmos. Environ.,
32, 2981–2999, https://doi.org/10.1016/S1352-2310(98)00006-5, 1998.
An, Z., Huang, R., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z.,
Han, Y., Gu, Z., and Ji, Y.: Severe haze in northern China: A synergy of
anthropogenic emissions and atmospheric processes, P. Natl. Acad. Sci. USA,
116, 8657–8666, https://doi.org/10.1073/pnas.1900125116, 2019.
Blackadar, A. K.: The vertical distribution of wind and turbulent exchange
in a neutral atmosphere, J. Geophys. Res., 67, 3095–3102,
https://doi.org/10.1029/JZ067i008p03095, 1962.
Chen, F. and Dudhia, J.: Coupling an advanced land surface – hydrology
model with the Penn State – NCAR MM5 modeling system. Part I: model
implementation and sensitivity, Mon. Weather Rev., 129, 569–585,
https://doi.org/10.1175/1520-0493(2001)129<0587:CAALSH>2.0.CO, 2, 2001.
Chen, L., Zhu, J., Liao, H., Gao, Y., Qiu, Y., Zhang, M., Liu, Z., Li, N., and Wang, Y.: Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis, Atmos. Chem. Phys., 19, 10845–10864, https://doi.org/10.5194/acp-19-10845-2019, 2019.
Couvreux, F., Bazile, E., Rodier, Q., Maronga, B., Matheou, G., and Chinita,
M. J., Edwards, J., Stratum, B. J. H., van Heerwaarden, C. C., Huang, J.,
Moene, A. F., Cheng, A., Fuka, V., Basu, S., Bou-Zeid, E., Canut, G., and
Vignon, E.: Intercomparison of large-eddy simulations of the Antarctic
boundary layer for very stable stratification, Bound.-Lay. Meteorol., 176,
369–400, https://doi.org/10.1007/s10546-020-00539-4, 2020.
Du, Q., Zhao, C., Zhang, M., Dong, X., Chen, Y., Liu, Z., Hu, Z., Zhang, Q., Li, Y., Yuan, R., and Miao, S.: Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission, Atmos. Chem. Phys., 20, 2839–2863, https://doi.org/10.5194/acp-20-2839-2020, 2020.
Edwards, J. M., Beijaars, A. C., Holtslag, A. A., and Lock, A. P.:
Representation of boundary-layer processes in numerical weather prediction
and climate models, Bound.-Lay. Meteorol., 177, 511–539,
https://doi.org/10.1007/s10546-020-00530-z, 2020.
Emerson, E. W., Hodshire, A. L., Debolt, H. M., Bilsback, K. R., Pierce, J.
R., McMeeking, G. R., and Farmer, D. K.: Revisiting particle dry deposition
and its role in radiative effect estimates, P. Natl. Acad. Sci. USA, 117,
26076–26082, https://doi.org/10.1073/pnas.2014761117, 2020.
Esau, I. N. and Byrkjedal, Ø.: Application of large eddy simulation
database to optimization of first order closure for neutral and stably
stratified boundary layers, Bound.-Lay. Meteorol., 125, 207–225,
https://doi.org/10.1007/s10546-007-9213-6, 2007.
Farmer, D.K., Boedicker, E.K. and DeBolt, H.M.: Dry Deposition of
Atmospheric Aerosols: Approaches, Observations, and Mechanisms, Annu. Rev.
Phys. Chem. 72, 1–23,
https://doi.org/10.1146/annurev-physchem-090519-034936, 2021.
Foreman, R. J., and Emeis, S.: A Method for Increasing the Turbulent Kinetic
Energy in the Mellor–Yamada–Janjić Boundary-Layer Parametrization,
Bound.-Lay. Meteorol., 145, 329–349,
https://doi.org/10.1007/s10546-012-9727-4, 2012.
Fratini, G., Ciccioli, P., Febo, A., Forgione, A., and Valentini, R.: Size-segregated fluxes of mineral dust from a desert area of northern China by eddy covariance, Atmos. Chem. Phys., 7, 2839–2854, https://doi.org/10.5194/acp-7-2839-2007, 2007.
Gao, J., Zhu, B., Xiao, H., Kang, H., Pan, C., Wang, D., and Wang, H.: Effects of black carbon and boundary layer interaction on surface ozone in Nanjing, China, Atmos. Chem. Phys., 18, 7081–7094, https://doi.org/10.5194/acp-18-7081-2018, 2018.
Garratt, J.: The atmospheric boundary layer, Cambridge, UK, 37, 316 pp., 1992.
Grell, G. A. and Devenyi, D.: A generalized approach to parameterizing
convection combining ensemble and data assimilation techniques, Geophys.
Res. Lett., 29, 1693, https://doi.org/10.1029/2002GL015311, 2002.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock,
W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF model.
Atmos. Environ., 39, 6957–6975.
https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Gu, H., Jin, J., Wu, Y., Ek, M. B., and Subin, Z. M.: Calibration and
validation of lake surface temperature simulations with the coupled WRF-lake
model, Clim. Change., 129, 471–483,
https://doi.org/10.1007/s10584-013-0978-y, 2015.
Huang, Y. and Peng, X.: Improvement of the Mellor–Yamada–Nakanishi–Niino
Planetary Boundary-Layer Scheme Based on Observational Data in China,
Bound.-Lay. Meteorol., 162, 171–188,
https://doi.org/10.1007/s10546-016-0187-0, 2017.
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.-Atmos., 113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
Jia, W. and Zhang, X.: The role of the planetary boundary layer
parameterization schemes on the meteorological and aerosol pollution
simulations: A review, Atmos. Res., 239, 104890,
https://doi.org/10.1016/j.atmosres.2020.104890, 2020.
Jia, W., Zhang, X., Zhang, H., and Ren, Y.: Application of turbulent
diffusion term of aerosols in mesoscale model, Geophys. Res. Lett., 48,
e2021GL093199, https://doi.org/10.1029/2021GL093199, 2021a.
Jia, W., Zhang, X., Wang, J., Yang, Y., and Zhong, J.: The influence of
stagnant and transport types weather on heavy pollution in the
Yangtze-Huaihe valley, China, Sci. Total Environ., 792, 148393,
https://doi.org/10.1016/j.scitotenv.2021.148393, 2021b.
Jiménez, P. A. and Dudhia, J.: Improving the representation of resolved
and unresolved topographic effects on surface wind in the WRF model, J.
Appl. Meteorol. Climatol., 51, 300–316,
https://doi.org/10.1175/JAMC-D-11-084.1, 2012.
Jiménez, P. A., Dudhia, J., González–Rouco, J. F., Navarro, J.,
Montávez, J. P., and García–Bustamante E.: A revised scheme for
the WRF surface layer formulation, Mon. Weather Rev., 140, 898–918,
https://doi.org/10.1175/MWR-D-11-00056.1, 2012.
Kusaka, H., Kondo, H., Kikegawa, Y., and Kimura, F.: A simple single-layer
urban canopy model for atmospheric models: comparison with multi-layer and
slab models, Bound.-Lay. Meteorol., 101, 329–358,
https://doi.org/10.1023/a:1019207923078, 2001.
Li, M., Wang, T., Xie, M., Zhuang, B., Li, S., Han, Y., and Chen, P.:
Impacts of aerosol-radiation feedback on local air quality during a severe
haze episode in Nanjing megacity, eastern China, Tellus B, 69, 1339548, https://doi.org/10.1080/16000889.2017.1339548, 2017.
Li, Y., Gao, Z., Lenschow, D. H., and Chen, F.: An improved approach for
parameterizing surface-layer turbulent transfer coefficients in numerical
models, Bound.-Lay. Meteorol., 137, 153–165,
https://doi.org/10.1007/s10546-010-9523-y, 2010.
Louis, J., Tiedtke, M., and Geleyn, J.: A short history of the PBL
parameterization at ECMWF, ECMWF, 59–79, https://www.ecmwf.int/node/10845 (last access: 5 November 2021),
1982.
Mahrt, L. and Vickers, D.: Formulation of turbulent fluxes in the stable
boundary layer, J. Atmos. Sci., 60, 2538–2548,
https://doi.org/10.1175/1520-0469(2003)060<2538:FOTFIT>2.0.CO;2, 2003.
Miao, Y., Che, H., Zhang, X., and Liu, S.: Relationship between summertime
concurring PM2.5 and O3 pollution and boundary layer height
differs between Beijing and Shanghai, China, Environ. Pollut., 268, 115775,
https://doi.org/10.1016/j.envpol.2020.115775, 2021.
Miao, Y., Liu, S., Guo, J., Huang, S., Yan, Y., and Lou, M.: Unraveling the
relationships between boundary layer height and PM2.5 pollution in
China based on four-year radiosonde measurements, Environ. Pollut., 243,
1186–1195, https://doi.org/10.1016/j.envpol.2018.09.070, 2018.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics
on the Development of Trailing Stratiform Precipitation in a Simulated
Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev.,
137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Petroff, A. and Zhang, L.: Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models, Geosci. Model Dev., 3, 753–769, https://doi.org/10.5194/gmd-3-753-2010, 2010.
Pleim, J. E.: A combined local and nonlocal closure model for the
atmospheric boundary layer. Part I: model description and testing, J. Appl.
Meteorol. Climatol., 46, 1383–1395, https://doi.org/10.1175/JAM2539.1,
2017.
Ren, Y., Zhang, H., Wei, W., Cai, X., and Song, Y.: Determining the
?uctuation of PM2.5 mass concentration and its applicability to
Monin–Obukhov similarity, Sci. Total Environ., 710, 136398,
https://doi.org/10.1016/j.scitotenv.2019.136398, 2020.
Ren, Y., Zhang, H., Zhang, X., Wei, W., Li, Q., Wu, B., Cai, X., Song, Y.,
Kang, L., and Zhu, T.: Turbulence barrier effect during heavy haze pollution
events, Sci. Total Environ., 753, 142286,
https://doi.org/10.1016/j.scitotenv.2020.142286, 2021.
Savijärvi, H., and Kauhanen, J.: High resolution numerical simulations
of temporal and vertical variability in the stable wintertime boreal
boundary layer: a case study, Theor. Appl. Climaol., 70, 97–103,
https://doi.org/10.1007/s007040170008, 2002.
Schell, B., Ackermann, I. J., and Hass, H.: Modeling the formation of
secondary organic aerosol within a comprehensive air quality model system,
J. Geophys. Res., 106, 28275–28293, https://doi.org/10.1029/2001JD000384,
2001.
Shao, J., Chen, Q., Wang, Y., Lu, X., He, P., Sun, Y., Shah, V., Martin, R. V., Philip, S., Song, S., Zhao, Y., Xie, Z., Zhang, L., and Alexander, B.: Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing, Atmos. Chem. Phys., 19, 6107–6123, https://doi.org/10.5194/acp-19-6107-2019, 2019.
Stull, R. B.: An introduction to boundary layer meteorology, Atmospheric
Sciences Library, 6, 206–210, 1988.
Sušelj, K. and Sood, A.: Improving the Mellor–Yamada–Janjić
Parameterization for wind conditions in the marine planetary boundary layer,
Bound.-Lay. Meteorol., 136, 301–324.
https://doi.org/10.1007/s10546-010-9502-3, 2010.
Wang, H., Peng, Y., Zhang, X., Liu, H., Zhang, M., Che, H., Cheng, Y., and Zheng, Y.: Contributions to the explosive growth of PM2.5 mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China, Atmos. Chem. Phys., 18, 17717–17733, https://doi.org/10.5194/acp-18-17717-2018, 2018.
Wu, J., Bei, N., Hu, B., Liu, S., Zhou, M., Wang, Q., Li, X., Liu, L., Feng, T., Liu, Z., Wang, Y., Cao, J., Tie, X., Wang, J., Molina, L. T., and Li, G.: Aerosol–radiation feedback deteriorates the wintertime haze in the North China Plain, Atmos. Chem. Phys., 19, 8703–8719, https://doi.org/10.5194/acp-19-8703-2019, 2019.
Zhang, H., Zhang, X., Li, Q., Cai, X., Fan, S., Song, Y., Hu, F., Che, H.,
Quan, J., Kang, L., and Zhu, T.: Research progress on estimation of the
atmospheric boundary layer height, J. Meteor. Res., 34, 482–498,
https://doi.org/10.1007/s13351-020-9910-3, 2020.
Zhang, L., Gong, S., Padro, J., and Barrie, L.: A size-segregated particle
dry deposition scheme for an atmospheric aerosol module, Atmos. Environ.,
35, 549–560, https://doi.org/10.1016/S1352-2310(00)00326-5, 2001.
Zhang, X., Xu, X., Ding, Y., Liu, Y., Zhang, H., Wang, Y., and Zhong, J.:
The impact of meteorological changes from 2013 to 2017 on PM2.5 mass
reduction in key regions in China, Sci, China Earth Sci., 62, 1–18,
https://doi.org/10.1007/s11430-019-9343-3, 2019.
Short summary
Heavy aerosol pollution incidents have attracted much attention since 2013, but the temporal and spatial limitations of observations and the inaccuracy of simulation are a stumbling block to assessing pollution mechanisms. The correct simulation of boundary layer mixing process of pollutant is a challenge for mesoscale numerical models. We add the turbulent diffusion term of aerosol to the WRF-Chem model to prove the impact of turbulent diffusion on pollutant concentration.
Heavy aerosol pollution incidents have attracted much attention since 2013, but the temporal and...
Altmetrics
Final-revised paper
Preprint