Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-2839-2020
© Author(s) 2020. 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-20-2839-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission
Qiuyan Du
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Chun Zhao
CORRESPONDING AUTHOR
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
CAS Center for Excellence in Comparative Planetology, USTC, Hefei, 230026, China
Mingshuai Zhang
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
PowerChina Huadong Engineering Corporation Limited, Hangzhou, China
Yu Chen
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
School of Geosciences, University of Edinburgh, Edinburgh, UK
Zhiyuan Hu
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, China
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
Qiang Zhang
Department of Earth System Science, Tsinghua University, Beijing, China
Yubin Li
School of Atmospheric Physics, Nanjing University of Information and Technology, Nanjing, China
Renmin Yuan
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Shiguang Miao
Institute of Urban Meteorology, Chinese Meteorology Administration, Beijing, China
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36 citations as recorded by crossref.
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- Multi-timescale variation characteristics of PM2.5 in different regions of China during 2014–2022 R. Liu et al. 10.1016/j.scitotenv.2024.171008
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- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Simulations of Summertime Ozone and PM2.5 Pollution in Fenwei Plain (FWP) Using the WRF-Chem Model Y. Wang et al. 10.3390/atmos14020292
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- A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. 10.1016/j.atmosres.2021.105848
- Aggravated chemical production of aerosols by regional transport and basin terrain in a heavy PM2.5 pollution episode over central China W. Hu et al. 10.1016/j.atmosenv.2022.119489
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- Improvement of Surface PM2.5 Diurnal Variation Simulations in East Africa for the MAIA Satellite Mission C. Li et al. 10.1021/acsestair.3c00008
- Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region Q. Du et al. 10.1007/s00376-023-3060-3
- Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau W. Liu et al. 10.1038/s41612-023-00392-5
- WRF-Chem Modeling of Summertime Air Pollution in the Northern Great Plains: Chemistry and Aerosol Mechanism Intercomparison C. Bucaram & F. Bowman 10.3390/atmos12091121
- Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China L. Gao et al. 10.1016/j.atmosenv.2021.118828
- Investigation of Aerosol Direct Effect over China under El Niño and Its Spatial Distribution Using WRF-Chem F. Li et al. 10.3390/atmos12010058
- Impact of modified turbulent diffusion of PM<sub>2.5</sub> aerosol in WRF-Chem simulations in eastern China W. Jia & X. Zhang 10.5194/acp-21-16827-2021
- Size-Segregated Particulate Mass and Carbonaceous Components in Roadside and Riverside Environments M. Amin et al. 10.3390/app112110214
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- A dynamic ammonia emission model and the online coupling with WRF–Chem (WRF–SoilN–Chem v1.0): development and regional evaluation in China C. Ren et al. 10.5194/gmd-16-1641-2023
- Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model W. Jia et al. 10.1029/2021GL093199
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- Influence on the temperature estimation of the planetary boundary layer scheme with different minimum eddy diffusivity in WRF v3.9.1.1 H. Ding et al. 10.5194/gmd-14-6135-2021
- Impact of topography on black carbon transport to the southern Tibetan Plateau during the pre-monsoon season and its climatic implication M. Zhang et al. 10.5194/acp-20-5923-2020
- Look Up: Probing the Vertical Profile of New Particle Formation and Growth in the Planetary Boundary Layer With Models and Observations S. O’Donnell et al. 10.1029/2022JD037525
- Role of the Tibetan Plateau in Northern Drought Induced by Changes in the Subtropical Westerly Jet Q. Zhu et al. 10.1175/JCLI-D-20-0799.1
- Baseline of Surface and Column-Integrated Aerosol Loadings in the Pearl River Delta Region, China X. Fan et al. 10.3389/fenvs.2022.893408
- Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China Y. Wang et al. 10.1038/s41598-023-35399-8
- Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. 10.1016/j.aeaoa.2022.100200
- Investigating the mechanisms driving the seasonal variations in surface PM<sub>2.5</sub> concentrations over East Africa with the WRF-Chem model N. Idrissa et al. 10.52396/JUSTC-2022-0142
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Latest update: 16 Aug 2024
Short summary
Simulated diurnal PM2.5 with WRF-Chem is primarily controlled by planetary boundary layer (PBL) mixing and emission variations. Modeling bias is likely primarily due to inefficient PBL mixing of primary PM2.5 during the night. The increase in PBL mixing strength during the night can significantly reduce biases. This study underscores that more effort is needed to improve the boundary mixing processes of pollutants in models with observations of PBL structure and mixing fluxes besides PBL height.
Simulated diurnal PM2.5 with WRF-Chem is primarily controlled by planetary boundary layer (PBL)...
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