Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7409-2019
© Author(s) 2019. 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-19-7409-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jun 2019
Research article |
| 05 Jun 2019
| 05 Jun 2019
Retrospective analysis of 2015–2017 wintertime PM2.5 in China: response to emission regulations and the role of meteorology
Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China
National Center for Atmospheric Research, Boulder, CO 80301, USA
Junmei Ban
National Center for Atmospheric Research, Boulder, CO 80301, USA
Pusheng Zhao
Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China
Min Chen
Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China
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- Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. 10.1016/j.apr.2024.102141
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- The optimization of SO2 emissions by the 4DVAR and EnKF methods and its application in WRF-Chem Y. Hu et al. 10.1016/j.scitotenv.2023.163796
- Ammonium nitrate promotes sulfate formation through uptake kinetic regime Y. Liu et al. 10.5194/acp-21-13269-2021
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Latest update: 14 Dec 2024
Short summary
To better characterize the anthropogenic emission-relevant aerosol species, the GSI-WRF/Chem data assimilation system was updated from GOCART to MOSAIC-4BIN scheme. Wintertime 2015–2017 (January) surface PM2.5 observations from more than 1600 sites were assimilated hourly. The observations and reanalysis data from the assimilation experiment were used to investigate year-to-year changes. Roles of emission and meteorology in driving the changes were also distinguished and quantitatively assessed.
To better characterize the anthropogenic emission-relevant aerosol species, the GSI-WRF/Chem...
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