90 citations as recorded by crossref.

1. The strengthening relationship between Eurasian snow cover and December haze days in central North China after the mid-1990s Z. Yin & H. Wang 10.5194/acp-18-4753-2018
2. Decoupling between PM2.5 concentrations and aerosol optical depth at ground stations in China W. Fu et al. 10.3389/fenvs.2022.979918
3. Response of early winter haze in the North China Plain to autumn Beaufort sea ice Z. Yin et al. 10.5194/acp-19-1439-2019
4. Long-Term Variation in Wintertime Atmospheric Diffusion Conditions Over the Sichuan Basin G. Wang et al. 10.3389/fenvs.2021.763504
5. Associations between winter atmospheric teleconnections in drought and haze pollution over Southwest China Y. Hu & S. Wang 10.1016/j.scitotenv.2020.142599
6. On the connection between interannual variations of winter haze frequency over Beijing and different ENSO flavors J. Wang et al. 10.1016/j.scitotenv.2020.140109
7. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
8. Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang 10.3389/fenvs.2022.1015723
9. Synergistic Effect of El Niño and Arctic Sea‐Ice Increment on Wintertime Northeast Asian Anomalous Anticyclone and Its Corresponding PM2.5 Pollution X. An et al. 10.1029/2022JD037840
10. Possible influence of sudden stratospheric warmings on the atmospheric environment in the Beijing–Tianjin–Hebei region Q. Lu et al. 10.5194/acp-22-13087-2022
11. Interannual relationship between displacement and intensity of East Asian jet stream and haze over eastern China in winter S. Zhang et al. 10.1016/j.scitotenv.2022.154672
12. Possible Relationship between January “Warm Arctic–Cold Eurasia” and February Haze in North China Y. Zhang et al. 10.1175/JCLI-D-21-0465.1
13. Appreciable role of stratospheric polar vortex in the abnormal diffusion of air pollutant in North China in 2015/2016 winter and implications for prediction W. Huang et al. 10.1016/j.atmosenv.2021.118549
14. Synergetic impacts of precursory climate drivers on interannual-decadal variations in haze pollution in North China: A review Z. Yin et al. 10.1016/j.scitotenv.2020.143017
15. Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao 10.3390/rs15164069
16. Interannual variation in the number and severity of autumnal haze days in the Beijing–Tianjin–Hebei region and associated atmospheric circulation anomalies J. Wang et al. 10.1016/j.dynatmoce.2018.08.001
17. Attribution of Anthropogenic Influence on Atmospheric Patterns Conducive to Recent Most Severe Haze Over Eastern China K. Li et al. 10.1002/2017GL076570
18. Possible Relationship between the Chukchi Sea Ice in the Early Winter and the February Haze Pollution in the North China Plain Z. Yin et al. 10.1175/JCLI-D-18-0634.1
19. Downward propagation of sudden stratospheric warming signals and the local environment in the Beijing-Tianjin-Hebei region: A comparative study of the 2018 and 2019 winter cases Q. Lu et al. 10.1016/j.atmosres.2021.105514
20. Comparison of the influence of two types of cold surge on haze dispersion in eastern China S. Zhang et al. 10.5194/acp-21-15185-2021
21. Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. 10.1016/j.atmosenv.2019.117010
22. 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
23. 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
24. The atmospheric microplastics deposition contributes to microplastic pollution in urban waters J. Sun et al. 10.1016/j.watres.2022.119116
25. Source apportionment of volatile organic compounds: Implications to reactivity, ozone formation, and secondary organic aerosol potential H. Zheng et al. 10.1016/j.atmosres.2020.105344
26. Role of climate anomalies on decadal variation in the occurrence of wintertime haze in the Yangtze River Delta, China J. Xu et al. 10.1016/j.scitotenv.2017.05.015
27. Opposite interdecadal variations of wintertime haze occurrence over North China Plain and Yangtze River Delta regions in 1980–2013 J. Ma & R. Zhang 10.1016/j.scitotenv.2020.139240
28. The Effects of PM2.5 Concentrations and Relative Humidity on Atmospheric Visibility in Beijing X. Wang et al. 10.1029/2018JD029269
29. Distinction of two kinds of haze K. Wei et al. 10.1016/j.atmosenv.2019.117228
30. A comparison of haze pollution variability in China using haze indices based on observations L. Chang et al. 10.1016/j.scitotenv.2020.136929
31. Atmospheric circulation anomalies related to the winter PM2.5 mass concentration rapid decline cases in Beijing, China Y. Ren et al. 10.1016/j.atmosres.2024.107665
32. Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
33. Climate modulation of external forcing factors on air quality change in Eastern China: Implications for PM2.5 seasonal prediction J. Ma et al. 10.1016/j.scitotenv.2023.166989
34. The relationship between December haze pollution in the Sichuan Basin and preceding climate factors Y. Luo et al. 10.1002/joc.8432
35. Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation G. Zhang et al. 10.5194/acp-19-565-2019
36. Future haze events in Beijing, China: When climate warms by 1.5 and 2.0°C C. Liu et al. 10.1002/joc.6421
37. Recent intensification of winter haze in China linked to foreign emissions and meteorology Y. Yang et al. 10.1038/s41598-018-20437-7
38. Predictability and Risk of Extreme Winter PM2.5 Concentration in Beijing J. Liu et al. 10.1007/s13351-023-3023-8
39. Links Between the Large‐Scale Circulation and Daily Air Quality Over Central Eastern China During Winter W. Ge et al. 10.1029/2018JD030154
40. Central North Pacific SST anomalies linked late winter haze to Arctic sea ice Q. Yang & D. Yuan 10.1002/joc.6534
41. Long-term trends and variations in haze-related weather conditions in north China during 1980–2018 based on emission-weighted stagnation intensity J. Feng et al. 10.1016/j.atmosenv.2020.117830
42. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism Z. Chen et al. 10.1016/j.envint.2020.105558
43. Fine-particle pH for Beijing winter haze as inferred from different thermodynamic equilibrium models S. Song et al. 10.5194/acp-18-7423-2018
44. Interdecadal relationship between the wintertime haze frequency over Beijing and mega‐ENSO J. Wang et al. 10.1002/asl.1007
45. Monthly Variations of Atmospheric Circulations Associated with Haze Pollution in the Yangtze River Delta and North China X. Zhang et al. 10.1007/s00376-020-0227-z
46. SO3 Reduction in the Flue Gas by Adding a Chemical Agent H. Bin et al. 10.1021/acs.energyfuels.7b01704
47. Anthropogenic fine particulate matter pollution will be exacerbated in eastern China due to 21st century GHG warming H. Chen et al. 10.5194/acp-19-233-2019
48. Linkages between the atmospheric transmission originating from the North Atlantic Oscillation and persistent winter haze over Beijing M. Li et al. 10.5194/acp-21-18573-2021
49. Intraseasonal variation of the northeast Asian anomalous anticyclone and its impacts on PM<sub>2.5</sub> pollution in the North China Plain in early winter X. An et al. 10.5194/acp-22-6507-2022
50. Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing C. Wang et al. 10.1016/j.atmosres.2018.08.022
51. Impacts of atmospheric circulations on the interannual variability of springtime haze frequency in the Pearl River Delta region, China C. Li et al. 10.1007/s00704-022-04253-8
52. Evident differences of haze days between December and January in north China and possible relationships with preceding climate factors Z. Yin et al. 10.1002/joc.7778
53. Numerical simulations of the effects of regional topography on haze pollution in Beijing Z. Zhang et al. 10.1038/s41598-018-23880-8
54. 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
55. Influence of the mid-high-latitude Eurasian ISO on PM2.5 concentration anomaly in North China during boreal winter S. Yang et al. 10.1007/s00382-023-07033-w
56. Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. 10.5194/acp-22-16017-2022
57. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations L. Sogacheva et al. 10.5194/acp-18-16631-2018
58. Possible Influence of the Antarctic Oscillation on Haze Pollution in North China Z. Zhang et al. 10.1029/2018JD029239
59. Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. 10.1016/j.atmosres.2018.05.008
60. The Long Hazy Tail: Analysis of the Impacts and Trends of Severe Outdoor and Indoor Air Pollution in North China W. Meng et al. 10.1021/acs.est.4c02778
61. The deep blue day is decreasing in China S. Wang et al. 10.1007/s00704-021-03898-1
62. Spatio–Temporal Variation of Extreme Climates and Its Relationship with Teleconnection Patterns in Beijing–Tianjin–Hebei from 1980 to 2019 J. Wang & A. Zhao 10.3390/atmos13121979
63. Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review J. Wang et al. 10.1002/joc.6471
64. Separating emission and meteorological contributions to long-term PM<sub>2.5</sub> trends over eastern China during 2000–2018 Q. Xiao et al. 10.5194/acp-21-9475-2021
65. Effects of the East Asian subtropical westerly jet on winter persistent heavy pollution in the Beijing–Tianjin–Hebei region M. Mei et al. 10.1002/joc.7400
66. Remote impacts from the tropical Indian Ocean on haze pollution in January over the Yangtze River Delta S. Xia et al. 10.1016/j.aosl.2021.100042
67. Role of atmospheric circulations in haze pollution in December 2016 Z. Yin & H. Wang 10.5194/acp-17-11673-2017
68. Interannual Relationship between Haze Days in December–January and Satellite-Based Leaf Area Index in August–September over Central North China L. Ji & K. Fan 10.3390/rs14040884
69. Intermittent turbulence contributes to vertical dispersion of PM<sub>2.5</sub> in the North China Plain: cases from Tianjin W. Wei et al. 10.5194/acp-18-12953-2018
70. A combined Arctic-tropical climate pattern controlling the inter-annual climate variability of wintertime PM2.5 over the North China Plain K. Yi et al. 10.1016/j.envpol.2018.10.136
71. Impact of 2015–2016 El Niño and 2017–2018 La Niña on PM2.5 concentrations across China X. Wang et al. 10.1016/j.atmosenv.2019.03.035
72. Predicting PM2.5 Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning J. Ma et al. 10.1007/s13351-024-3099-9
73. Climate anomalies contributed to the rebound of PM2.5 in winter 2018 under intensified regional air pollution preventions Z. Yin & Y. Zhang 10.1016/j.scitotenv.2020.138514
74. Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
75. Climatological study of the Boundary-layer air Stagnation Index for China and its relationship with air pollution Q. Huang et al. 10.5194/acp-18-7573-2018
76. How does El Niño-Southern Oscillation modulate the interannual variability of winter haze days over eastern China? C. He et al. 10.1016/j.scitotenv.2018.10.100
77. Chemical characteristics, sources, and formation mechanisms of PM2.5 before and during the Spring Festival in a coastal city in Southeast China S. Wang et al. 10.1016/j.envpol.2019.04.050
78. Contribution of climate/meteorology to winter haze pollution in the Fenwei Plain, China Z. Zhao et al. 10.1002/joc.7112
79. Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms B. Chen et al. 10.1016/j.scitotenv.2021.150338
80. Air stagnation in China: Spatiotemporal variability and differing impact on PM2.5 and O3 during 2013–2018 L. Wang et al. 10.1016/j.scitotenv.2021.152778
81. Changes in apparent temperature and PM2.5 around the Beijing–Tianjin megalopolis under greenhouse gas and stratospheric aerosol intervention scenarios J. Wang et al. 10.5194/esd-14-989-2023
82. Statistical Prediction of Winter Haze Days in the North China Plain Using the Generalized Additive Model Z. Yin & H. Wang 10.1175/JAMC-D-17-0013.1
83. Sensitivity of projected PM2.5- and O3-related health impacts to model inputs: A case study in mainland China M. Zhong et al. 10.1016/j.envint.2018.12.002
84. Evaluation of the influence of El Niño-Southern Oscillation on air quality in southern China from long-term historical observations S. Wang et al. 10.1007/s11783-021-1460-0
85. Estimating monthly wet sulfur (S) deposition flux over China using an ensemble model of improved machine learning and geostatistical approach R. Li et al. 10.1016/j.atmosenv.2019.116884
86. Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China T. Zhang et al. 10.1088/1748-9326/ac79c1
87. Contributions of surface solar radiation and precipitation to the spatiotemporal patterns of surface and air warming in China from 1960 to 2003 J. Du et al. 10.5194/acp-17-4931-2017
88. Impact of the Return Flow on Heavy Pollution in Winter over the Beijing–Tianjin–Hebei Region M. Mei et al. 10.1007/s13351-023-2141-7
89. Roles of climate variability on the rapid increases of early winter haze pollution in North China after 2010 Y. Zhang et al. 10.5194/acp-20-12211-2020
90. The Causes of “Vulnerable Regions” to Air Pollution in Winter in the Beijing-Tianjin-Hebei Region: A Topographic–Meteorological Impact Model Based on Adaptive Emission Constraint Technique K. Meng et al. 10.3390/atmos10110719