36 citations as recorded by crossref.

1. Intraseasonal variation and future projection of atmospheric diffusion conditions conducive to extreme haze formation over eastern China W. FENG et al. 10.1080/16742834.2020.1745054
2. Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble S. Jain et al. 10.5194/acp-22-7443-2022
3. Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. 10.1021/acs.est.1c08403
4. Asymmetrical Linkages Between Multifrequency Atmospheric Waves and Variations in Winter PM2.5 Concentrations in Northern China During 2013–2019 W. Chang & J. Zhan 10.1029/2019JD031999
5. Observed sensitivities of PM2.5 and O3 extremes to meteorological conditions in China and implications for the future X. Zhang et al. 10.1016/j.envint.2022.107428
6. Changes in concentrations of fine and coarse particles under the CO2-induced global warming D. Yang et al. 10.1016/j.atmosres.2019.104637
7. Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. 10.1016/j.chemosphere.2020.126735
8. Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. 10.1016/j.atmosenv.2023.119923
9. Meteorological factors related to winter severe PM2.5 pollution in China: In perspective of thresholds and relation of occurrence frequency with East Asian trough Y. Li et al. 10.1016/j.apr.2023.102002
10. Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. 10.5194/acp-19-11031-2019
11. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. 10.1016/j.scitotenv.2019.01.227
12. Impact of El Niño-Southern Oscillation on Dust Variability during the Spring Season over the Arabian Peninsula Y. Alsubhi & G. Ali 10.3390/atmos15091060
13. Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China J. Schnell et al. 10.1029/2020EF001788
14. Intrinsic atmospheric circulation patterns associated with high PM2.5 concentration days in South Korea during the cold season Y. Jeong et al. 10.1016/j.scitotenv.2022.160878
15. Meteorological Change and Impacts on Air Pollution: Results From North China Z. Xu et al. 10.1029/2020JD032423
16. Air Pollution Zone Migrates South Driven by East Asian Winter Monsoon and Climate Change S. Zhao et al. 10.1029/2021GL092672
17. Possible Link Between Arctic Sea Ice and January PM10 Concentrations in South Korea J. Kim et al. 10.3390/atmos10100619
18. Comment on “Insignificant effect of climate change on winter haze pollution in Beijing” by Shen et al. (2018) R. Liu et al. 10.5194/acp-19-8563-2019
19. Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze J. Wang et al. 10.1038/s41467-020-16683-x
20. Impacts of meteorological conditions on the NASM pollution data assimilation system S. Zhang et al. 10.1016/j.aosl.2024.100586
21. China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002 M. Gao et al. 10.5194/acp-20-1497-2020
22. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. 10.1007/s11783-020-1326-x
23. Spatial source apportionment of airborne coarse particulate matter using PMF-Bayesian receptor model T. Dai et al. 10.1016/j.scitotenv.2024.170235
24. Relative importance of meteorological variables on air quality and role of boundary layer height Y. Huang et al. 10.1016/j.atmosenv.2021.118737
25. Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. 10.1016/j.atmosres.2022.106395
26. The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region W. Zhong et al. 10.5194/acp-19-5941-2019
27. Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. 10.1029/2018JD029738
28. Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. 10.1039/D0FD00078G
29. Existence of typical winter atmospheric circulation patterns leading to high PM2.5 concentration days in East Asia Y. Jeong et al. 10.1016/j.envpol.2024.123829
30. Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018 Q. Xiao et al. 10.5194/acp-21-9475-2021
31. The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin 10.1029/2020GL088548
32. Seasonal and multi-scale difference of the relationship between built-up land landscape pattern and PM2.5 concentration distribution in Nanjing J. Meng et al. 10.1016/j.ecolind.2023.111079
33. Winter particulate pollution severity in North China driven by atmospheric teleconnections J. Li et al. 10.1038/s41561-022-00933-2
34. Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. 10.5194/acp-22-16017-2022
35. Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao 10.3390/rs15164069
36. Predicting the Impact of Climate Change on Severe Wintertime Particulate Pollution Events in Beijing Using Extreme Value Theory D. Pendergrass et al. 10.1029/2018GL080102