Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S Zhai, DJ Jacob, X Wang, L Shen, K Li, Y Zhang, K Gui, T Zhao, H Liao Atmospheric Chemistry and Physics 19 (16), 11031-11041, 2019 | 402 | 2019 |
A two-pollutant strategy for improving ozone and particulate air quality in China K Li, DJ Jacob, H Liao, J Zhu, V Shah, L Shen, KH Bates, Q Zhang, S Zhai Nature Geoscience 12 (11), 906-910, 2019 | 393 | 2019 |
Ozone pollution in the North China Plain spreading into the late-winter haze season K Li, DJ Jacob, H Liao, Y Qiu, L Shen, S Zhai, KH Bates, MP Sulprizio, ... Proceedings of the National Academy of Sciences 118 (10), e2015797118, 2021 | 134 | 2021 |
Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China V Shah, DJ Jacob, K Li, RF Silvern, S Zhai, M Liu, J Lin, Q Zhang Atmospheric Chemistry and Physics 20 (3), 1483-1495, 2020 | 132 | 2020 |
Control of particulate nitrate air pollution in China S Zhai, DJ Jacob, X Wang, Z Liu, T Wen, V Shah, K Li, JM Moch, KH Bates, ... Nature Geoscience 14 (6), 389-395, 2021 | 99 | 2021 |
Construction of a virtual PM2. 5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model K Gui, H Che, Z Zeng, Y Wang, S Zhai, Z Wang, M Luo, L Zhang, T Liao, ... Environment International 141, 105801, 2020 | 74 | 2020 |
Assessment of human exposure level to PM10 in China X An, Q Hou, N Li, S Zhai Atmospheric Environment 70, 376-386, 2013 | 60 | 2013 |
A two-pollutant strategy for improving ozone and particulate air quality in China, Nat. Geosci., 12, 906–910 K Li, DJ Jacob, H Liao, J Zhu, V Shah, L Shen, KH Bates, Q Zhang, S Zhai | 57 | 2019 |
Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model S Zhai, X An, T Zhao, Z Sun, W Wang, Q Hou, Z Guo, C Wang Atmospheric Chemistry and Physics 18 (9), 6241-6258, 2018 | 32 | 2018 |
Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China XQ An, SX Zhai, M Jin, S Gong, Y Wang Geoscientific Model Development 9 (6), 2153-2165, 2016 | 23 | 2016 |
Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems V Shah, DJ Jacob, JM Moch, X Wang, S Zhai Atmospheric Chemistry and Physics 20 (20), 12223-12245, 2020 | 22 | 2020 |
Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft … S Zhai, DJ Jacob, JF Brewer, K Li, JM Moch, J Kim, S Lee, H Lim, HC Lee, ... Atmospheric Chemistry and Physics 21 (22), 16775-16791, 2021 | 20 | 2021 |
Model assessment of atmospheric pollution control schemes for critical emission regions S Zhai, X An, Z Liu, Z Sun, Q Hou Atmospheric Environment 124, 367-377, 2016 | 20 | 2016 |
Estimating hourly surface PM2. 5 concentrations across China from high-density meteorological observations by machine learning Z Zeng, K Gui, Z Wang, M Luo, H Geng, E Ge, J An, X Song, G Ning, ... Atmospheric Research 254, 105516, 2021 | 19 | 2021 |
Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model C Wang, X An, S Zhai, Q Hou, Z Sun Atmospheric Environment 175, 154-166, 2018 | 14 | 2018 |
Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China, Geosci. Model Dev., 9, 2153–2165 XQ An, SX Zhai, M Jin, S Gong, Y Wang gmd-9-2153-2016, 2016 | 12 | 2016 |
Global modeling of heterogeneous hydroxymethanesulfonate chemistry S Song, T Ma, Y Zhang, L Shen, P Liu, K Li, S Zhai, H Zheng, M Gao, ... Atmospheric Chemistry and Physics 21 (1), 457-481, 2021 | 10 | 2021 |
Tracking a severe pollution event in Beijing in December 2016 with the GRAPES–CUACE adjoint model C Wang, X An, S Zhai, Z Sun Journal of Meteorological Research 32 (1), 49-59, 2018 | 9 | 2018 |
Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ KR Travis, JH Crawford, G Chen, CE Jordan, BA Nault, H Kim, JL Jimenez, ... Atmospheric Chemistry and Physics 22 (12), 7933-7958, 2022 | 8 | 2022 |
Evaluation of PM2. 5 decrease in Beijing after emission restrictions in the Beijing–Tianjin–Hebei and surrounding regions J Liu, XQ An, T Zhu, SX Zhai, N Li China Environ. Sci 34, 2726-2733, 2014 | 7 | 2014 |