122 citations as recorded by crossref.

1. Continuous and comprehensive atmospheric observations in Beijing: a station to understand the complex urban atmospheric environment Y. Liu et al. 10.1080/20964471.2020.1798707
2. Contribution of climate/meteorology to winter haze pollution in the Fenwei Plain, China Z. Zhao et al. 10.1002/joc.7112
3. 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
4. Distinct evolutions of haze pollution from winter to the following spring over the North China Plain: role of the North Atlantic sea surface temperature anomalies L. Song et al. 10.5194/acp-22-1669-2022
5. 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
6. Impact of winter droughts on air pollution over Southwest China Y. Hu et al. 10.1016/j.scitotenv.2019.01.335
7. The impact of steel emissions on air quality and pollution control strategy in Caofeidian, North China J. He et al. 10.1016/j.apr.2020.04.012
8. Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong–Hong Kong–Macao Greater Bay Area and the Contribution of Influencing Factors X. Tan et al. 10.3390/rs14225796
9. Changes in the Relationship between Particulate Matter and Surface Temperature in Seoul from 2002–2017 M. Kim 10.3390/atmos10050238
10. Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM2.5 concentration from winter 2016 to 2017 in Central and Eastern China W. Zhang et al. 10.1016/j.scitotenv.2020.136892
11. 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
12. 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
13. Numerical modeling of regional transport of PM2.5 during a severe pollution event in the Beijing–Tianjin–Hebei region in November 2015 W. Zhang et al. 10.1016/j.atmosenv.2021.118393
14. A foehn-induced haze front in Beijing: observations and implications J. Li et al. 10.5194/acp-20-15793-2020
15. A Multi‐Dimensional Decomposition Method of the Meteorology‐Driven and Emission‐Driven Effects on Year‐to‐Year Air Quality Variations Y. Song et al. 10.1029/2020EA001424
16. Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017 Y. Xu et al. 10.1016/j.atmosenv.2019.117215
17. A Machine Learning Approach for Air-Quality Forecast by Integrating GNSS Radio Occultation Observation and Weather Modeling W. Li et al. 10.3390/atmos14010058
18. The promotion effect of nitrous acid on aerosol formation in wintertime in Beijing: the possible contribution of traffic-related emissions Y. Liu et al. 10.5194/acp-20-13023-2020
19. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
20. Chemical characterization and source identification of PM2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China X. Huang et al. 10.5194/acp-17-12941-2017
21. Causality Analysis and Risk Assessment of Haze Disaster in Beijing X. Zhang & B. Yu 10.3390/app12189291
22. Statistical predictability of wintertime PM2.5 concentrations over East Asia using simple linear regression J. Jeong et al. 10.1016/j.scitotenv.2021.146059
23. Impact analysis of meteorological variables on PM2.5 pollution in the most polluted cities in China J. Wang et al. 10.1016/j.heliyon.2023.e17609
24. Attribution of Anthropogenic Influence on Atmospheric Patterns Conducive to Recent Most Severe Haze Over Eastern China K. Li et al. 10.1002/2017GL076570
25. The Different Impacts of Emissions and Meteorology on PM2.5 Changes in Various Regions in China: A Case Study W. Zhang et al. 10.3390/atmos13020222
26. Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter Y. Xu et al. 10.3390/atmos9110429
27. Influence of the Anthropogenic Fugitive, Combustion, and Industrial Dust on Winter Air Quality in East Asia J. Jeong & R. Park 10.3390/atmos10120790
28. Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2.5 pollution Z. Zhang et al. 10.1016/j.envres.2022.113322
29. Two-Dimensional Silicon Fingerprints Reveal Dramatic Variations in the Sources of Particulate Matter in Beijing during 2013–2017 X. Yang et al. 10.1021/acs.est.0c00984
30. Effects of atmospheric aging processes on carbonaceous species and water-soluble inorganic ions in biomass burning aerosols X. Guo et al. 10.1016/j.atmosenv.2022.119322
31. Impacts of Complex Terrain Features on Local Wind Field and PM2.5 Concentration Y. Song & M. Shao 10.3390/atmos14050761
32. An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in the Beijing–Tianjin–Hebei region L. Yang et al. 10.5194/gmd-16-3827-2023
33. Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the Beijing–Tianjin–Hebei area J. He et al. 10.1007/s13351-017-7039-9
34. Predictability of the winter haze pollution in Beijing–Tianjin–Hebei region in the context of stringent emission control Z. Zhang et al. 10.1016/j.apr.2022.101392
35. Distinction of two kinds of haze K. Wei et al. 10.1016/j.atmosenv.2019.117228
36. Understanding the challenges of construction demolition waste management towards circular construction: Kuwait Stakeholder’s perspective H. Al-Raqeb et al. 10.1016/j.clwas.2023.100075
37. Impacts of meteorological conditions on the NASM pollution data assimilation system S. Zhang et al. 10.1016/j.aosl.2024.100586
38. An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period Y. Song et al. 10.1016/j.atmosenv.2021.118270
39. Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau Y. Hu et al. 10.5194/acp-24-85-2024
40. Impacts of meteorology and emission variations on the heavy air pollution episode in North China around the 2020 Spring Festival W. Xue et al. 10.1007/s11430-020-9683-8
41. Characteristics and Meteorological Factors of Severe Haze Pollution in China C. He et al. 10.1155/2021/6680564
42. Evaluation of WRF-Chem simulations on vertical profiles of PM2.5 with UAV observations during a haze pollution event C. Liu et al. 10.1016/j.atmosenv.2021.118332
43. Analyses of winter circulation types and their impacts on haze pollution in Beijing J. He et al. 10.1016/j.atmosenv.2018.08.060
44. Particulate pollution status and its characteristics during 2015–2016 in Hunan, China C. Dai et al. 10.1016/j.apr.2018.12.001
45. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique T. Vu et al. 10.5194/acp-19-11303-2019
46. A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region Y. Ren et al. 10.1016/j.scitotenv.2023.163190
47. Comparison of chemical composition and airborne bacterial community structure in PM2.5 during haze and non-haze days in the winter in Guilin, China S. Zhong et al. 10.1016/j.scitotenv.2018.11.268
48. A quantitative assessment of the air pollution purification effect of a super strong cold-air outbreak in January 2016 in China Y. Hu et al. 10.1007/s11869-018-0592-2
49. 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
50. Impact of the coal banning zone on visibility in the Beijing-Tianjin-Hebei region G. Liu et al. 10.1016/j.scitotenv.2019.07.006
51. The Effects of Planetary Boundary Layer Features on Air Pollution Based on ERA5 Data in East China X. Deng et al. 10.3390/atmos14081273
52. Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study N. Bei et al. 10.5194/acp-17-14579-2017
53. The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin 10.1029/2020GL088548
54. Change in the dominant atmosphere–ocean systems contributing to spring haze pollution over North China Plain around the mid-1990s S. Chen et al. 10.1007/s00704-022-04214-1
55. Aerosol and boundary-layer interactions and impact on air quality Z. Li et al. 10.1093/nsr/nwx117
56. Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017 P. Guan et al. 10.3390/su13105685
57. The formation mechanism of air pollution episodes in Beijing city: Insights into the measured feedback between aerosol radiative forcing and the atmospheric boundary layer stability D. Zhao et al. 10.1016/j.scitotenv.2019.07.255
58. Exploring the relationship between surface PM2.5 and meteorology in Northern India J. Schnell et al. 10.5194/acp-18-10157-2018
59. Ambient Gaseous Pollutants in an Urban Area in South Africa: Levels and Potential Human Health Risk O. Morakinyo et al. 10.3390/atmos11070751
60. Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
61. Multi-scale analysis of the impacts of meteorology and emissions on PM2.5 and O3 trends at various regions in China from 2013 to 2020 2. Key weather elements and emissions S. Gong et al. 10.1016/j.scitotenv.2022.153847
62. Theoretical insight into the oxidation mechanism of NO2 and SO2 on TiO2 surface: The role of H2O, NH3 and SO42- Z. Wang et al. 10.1016/j.atmosenv.2020.118068
63. Impact of meteorological conditions and reductions in anthropogenic emissions on PM2.5 concentrations in China from 2016 to 2020 Z. Xu et al. 10.1016/j.atmosenv.2023.120265
64. Assessment of the Meteorological Impact on Improved PM2.5 Air Quality Over North China During 2016–2019 Based on a Regional Joint Atmospheric Composition Reanalysis Data‐Set X. Kou et al. 10.1029/2020JD034382
65. Impacts of meteorology and emission control on the abnormally low particulate matter concentration observed during the winter of 2017 X. Xu et al. 10.1016/j.atmosenv.2020.117377
66. Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index S. Gong et al. 10.5194/acp-21-2999-2021
67. Effect of Different Pollution Parameters and Chemical Components of PM2.5 on Health of Residents of Xinxiang City, China S. Wang et al. 10.3390/ijerph18136821
68. Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR T. Xu et al. 10.3389/feart.2022.1037719
69. Persistent high PM2.5 pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China I. Sulaymon et al. 10.1016/j.envres.2021.111186
70. The interaction of atmospheric boundary layer and PM pollution in Mongolian Plateau: Implication for the threshold control strategy S. Yang et al. 10.1016/j.atmosres.2025.107937
71. Characteristics and source apportionment of fine haze aerosol in Beijing during the winter of 2013 X. Shang et al. 10.5194/acp-18-2573-2018
72. Analysis of the meteorological factors affecting the short-term increase in O3 concentrations in nine global cities during COVID-19 Z. Bi et al. 10.1016/j.apr.2022.101523
73. Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM2.5 concentrations in Beijing during severe haze events D. Chen et al. 10.5194/acp-22-1825-2022
74. Challenges in Observation of Ultrafine Particles: Addressing Estimation Miscalculations and the Necessity of Temporal Trends T. Lin et al. 10.1021/acs.est.4c07460
75. Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
76. 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
77. An observation-based perspective of winter haze days in four major polluted regions of China L. Mao et al. 10.1093/nsr/nwy118
78. Observational analyses of dramatic developments of a severe air pollution event in the Beijing area J. Li et al. 10.5194/acp-18-3919-2018
79. Summertime response of ozone and fine particulate matter to mixing layer meteorology over the North China Plain J. Wang et al. 10.5194/acp-23-14715-2023
80. Regional transport in Beijing-Tianjin-Hebei region and its changes during 2014–2017: The impacts of meteorology and emission reduction Z. Dong et al. 10.1016/j.scitotenv.2020.139792
81. Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown Y. Zhang et al. 10.1016/j.aosl.2020.100014
82. Mechanism for synoptic and intra-seasonal oscillation of visibility in Beijing-Tianjin-Hebei region X. Li et al. 10.1007/s00704-020-03466-z
83. Evaluating the performance of two surface layer schemes for the momentum and heat exchange processes during severe haze pollution in Jing-Jin-Ji in eastern China Y. Peng et al. 10.5194/acp-18-17421-2018
84. A framework for investigating the air quality variation characteristics based on the monitoring data: Case study for Beijing during 2013–2016 J. Cui et al. 10.1016/j.jes.2019.01.009
85. Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model J. Yang et al. 10.1016/j.chemosphere.2019.125767
86. Are the temporal variation and spatial variation of ambient SO2 concentrations determined by different factors? X. Yang et al. 10.1016/j.jclepro.2017.08.215
87. Meteorological influence on persistent O3 pollution events in Wuxi in the Yangtze River Delta, China L. Shen et al. 10.1016/j.scitotenv.2024.170484
88. Formation mechanism of a severe air pollution event: A case study in the Sichuan Basin, Southwest China Y. Hu & S. Wang 10.1016/j.atmosenv.2020.118135
89. 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
90. Health impacts and burden of disease attributed to long-term exposure to atmospheric PM10/PM2.5 in Karaj, Iran: effect of meteorological factors M. kermani et al. 10.1080/03067319.2020.1807534
91. Impacts of emission reduction and meteorological conditions on air quality improvement from 2016 to 2020 in the Northeast Plain, China X. Yang et al. 10.1016/j.jes.2024.04.017
92. Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
93. Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015–2018 Z. Wang et al. 10.3390/ijerph18094524
94. Modeling study on the roles of the deposition and transport of PM2.5 in air quality changes over central-eastern China L. Zhang et al. 10.1016/j.jes.2022.10.032
95. Characteristics and mixing state of aerosol at the summit of Mount Tai (1534 m) in Central East China: First measurements with SPAMS H. Wang et al. 10.1016/j.atmosenv.2019.06.021
96. Stable and transport indices applied to winter air pollution over the Yangtze River Delta, China X. Liu et al. 10.1016/j.envpol.2020.115954
97. Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China Y. Gao et al. 10.1016/j.chemosphere.2020.125861
98. The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year X. Zhang et al. 10.3390/ijerph17249333
99. Factors influencing improvements in air quality in Guanzhong cities of China, and variations therein for 2014–2020 H. Zhao et al. 10.1016/j.uclim.2021.100877
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102. Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period T. Ansari et al. 10.5194/acp-19-8651-2019
103. 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
104. Forecasting PM2.5 concentration using artificial neural network and its health effects in Ahvaz, Iran G. Goudarzi et al. 10.1016/j.chemosphere.2021.131285
105. 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
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108. Estimating the burden of diseases attributed to PM2.5 using the AirQ + software in Mashhad during 2016–2021 N. Naimi et al. 10.1038/s41598-024-74328-1
109. Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak P. Wang et al. 10.1016/j.resconrec.2020.104814
110. Monitoring history and change trends of ambient air quality in China during the past four decades F. Zhang et al. 10.1016/j.jenvman.2019.110031
111. Impact of weather and emission changes on NO2 concentrations in China during 2014–2019 Y. Shen et al. 10.1016/j.envpol.2020.116163
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114. Can climate indices forecast daily variations of wintertime PM2.5 concentrations in East Asia? J. Jeong & R. Park 10.1016/j.scitotenv.2023.163505
115. 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
116. Subseasonal reversal of haze pollution over the North China Plain L. Xue et al. 10.1016/j.aosl.2022.100274
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118. Meteorological correlates and AirQ+ health risk assessment of ambient fine particulate matter in Tehran, Iran M. Ansari & M. Ehrampoush 10.1016/j.envres.2018.11.046
119. Contrasting impacts of two types of El Niño events on winter haze days in China's Jing-Jin-Ji region X. Yu et al. 10.5194/acp-20-10279-2020
120. Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter L. Wang et al. 10.1016/j.scitotenv.2019.03.097
121. 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
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