87 citations as recorded by crossref.

1. Spatial distribution and temporal variation of atmospheric pollution in the South Gobi Desert, China, during 2016–2019 M. Filonchyk & V. Hurynovich 10.1007/s11356-020-09000-y
2. Satellite-based spatiotemporal trends of ambient PM2.5 concentrations and influential factors in Hubei, Central China Y. Huang et al. 10.1016/j.atmosres.2020.104929
3. 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
4. Meteorology-driven variability of air pollution (PM<sub>1</sub>) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
5. 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
6. New Insights Into Scavenging Effect of Aerosol Species During Summer Rainfall Process in Beijing Y. Li et al. 10.1029/2023JD038642
7. Effectiveness of emission control in reducing PM<sub>2.5</sub> pollution in central China during winter haze episodes under various potential synoptic controls Y. Yan et al. 10.5194/acp-21-3143-2021
8. Energy and emission pathways towards PM2.5 air quality attainment in the Beijing-Tianjin-Hebei region by 2030 D. Tong et al. 10.1016/j.scitotenv.2019.07.218
9. 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
10. Climatological Characteristics of Cold Fronts and Their Impacts on Air Quality in Cold Seasons Over the Eastern China L. Xue et al. 10.1029/2022JD037488
11. Can climate indices forecast daily variations of wintertime PM2.5 concentrations in East Asia? J. Jeong & R. Park 10.1016/j.scitotenv.2023.163505
12. Elucidating drivers of severe wintertime fine particulate matter pollution episodes in the Yangtze River Delta region of eastern China L. Shu et al. 10.1016/j.scitotenv.2023.169546
13. RETRACTED ARTICLE: Green urban vegetation planning and economic efficiency based on remote sensing images and grid geographic space Y. Lu & L. Lei 10.1007/s12517-021-07146-8
14. Spatiotemporal and probability variations of surface PM2.5 over China between 2013 and 2019 and the associated changes in health risks: An integrative observation and model analysis Z. Jiang et al. 10.1016/j.scitotenv.2020.137896
15. Spatio-temporal characteristics of PM2.5 and O3 synergic pollutions and influence factors in the Yangtze River Delta Q. Zhu et al. 10.3389/fenvs.2022.1104013
16. Dominant Synoptic Patterns and Their Relationships with PM2.5 Pollution in Winter over the Beijing-Tianjin-Hebei and Yangtze River Delta Regions in China Y. Liu et al. 10.1007/s13351-019-9007-z
17. How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
18. Co-Benefits of Energy Structure Transformation and Pollution Control for Air Quality and Public Health until 2050 in Guangdong, China H. Mo et al. 10.3390/ijerph192214965
19. Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. 10.5194/acp-23-2829-2023
20. Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data J. Feng et al. 10.5194/acp-23-375-2023
21. Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013–2017 M. Li et al. 10.1016/j.envint.2019.105283
22. Numerical study of the amplification effects of cold-front passage on air pollution over the North China Plain W. Zhang et al. 10.1016/j.scitotenv.2022.155231
23. Clustering and Regression-Based Analysis of PM2.5 Sensitivity to Meteorology in Cincinnati, Ohio M. Roy et al. 10.3390/atmos13040545
24. 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
25. Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
26. Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China H. Yin et al. 10.1016/j.envpol.2021.117899
27. Regional characteristics of fine aerosol mass increase elucidated from long-term observations and KORUS-AQ campaign at a Northeast Asian background site S. Lim et al. 10.1525/elementa.2022.00020
28. Vertical variation in magnetic particles within atmospheric PM in indoor dustfall in industrial cities of northern China R. Zhang et al. 10.1016/j.apr.2024.102075
29. Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis Y. Zhang et al. 10.1029/2019GL084649
30. Spatio-temporal variations and trends of major air pollutants in China during 2015–2018 K. Maji & C. Sarkar 10.1007/s11356-020-09646-8
31. Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea L. Chang et al. 10.1029/2020JD034085
32. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
33. Investigation of the spatially varying relationships of PM2.5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression Q. Yang et al. 10.1016/j.envpol.2020.114257
34. Classification of circulation patterns during the formation and dissipation of continuous pollution weather over the Sichuan Basin, China Y. Sun et al. 10.1016/j.atmosenv.2019.117244
35. Insignificant effect of climate change on winter haze pollution in Beijing L. Shen et al. 10.5194/acp-18-17489-2018
36. Assessing Spatial Heterogeneity of Factor Interactions on PM2.5 Concentrations in Chinese Cities Y. Jin et al. 10.3390/rs13245079
37. Regional Forecasting of Fine Particulate Matter Concentrations: A Novel Hybrid Model Based on Principal Component Regression and EOF X. Wu et al. 10.1029/2021EA001694
38. Wintertime Particulate Matter Decrease Buffered by Unfavorable Chemical Processes Despite Emissions Reductions in China D. Leung et al. 10.1029/2020GL087721
39. Statistical significance of PM2.5 and O3 trends in China under long-term memory effects P. Yu et al. 10.1016/j.scitotenv.2023.164598
40. Teleconnection between the Asian Polar Vortex and surface PM2.5 in China L. Zhou et al. 10.1038/s41598-020-76414-6
41. Seasonal Variations in Anthropogenic and Natural Particles Induced by Rising CO2 Levels D. Yang et al. 10.3390/atmos15010105
42. Summertime ozone pollution in the Yangtze River Delta of eastern China during 2013–2017: Synoptic impacts and source apportionment L. Shu et al. 10.1016/j.envpol.2019.113631
43. Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. 10.5194/wcd-2-675-2021
44. Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. 10.5194/acp-22-16017-2022
45. Significant Reductions in Secondary Aerosols after the Three-Year Action Plan in Beijing Summer Y. Li et al. 10.1021/acs.est.3c02417
46. Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China Z. Yin & X. Ma 10.1088/1748-9326/abc915
47. Large‐scale meteorological control on the spatial pattern of wintertime PM2.5 pollution over China Z. Wang et al. 10.1002/asl.938
48. Atmospheric circulation anomaly over mid- and high-latitudes and its association with severe persistent haze events in Beijing W. Hua & B. Wu 10.1016/j.atmosres.2022.106315
49. Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China H. Zhou et al. 10.3390/atmos11030253
50. Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions M. Qiu et al. 10.5194/acp-22-10551-2022
51. Quantifying the Influences of PM2.5 and Relative Humidity on Change of Atmospheric Visibility over Recent Winters in an Urban Area of East China X. Sun et al. 10.3390/atmos11050461
52. Fine particulate matter (PM<sub>2.5</sub>) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. 10.5194/acp-19-11031-2019
53. Responses of gaseous sulfuric acid and particulate sulfate to reduced SO2 concentration: A perspective from long-term measurements in Beijing X. Li et al. 10.1016/j.scitotenv.2020.137700
54. Factors Underlying Spatiotemporal Variations in Atmospheric PM2.5 Concentrations in Zhejiang Province, China X. Li et al. 10.3390/rs13153011
55. PM2.5 and O3 pollution during 2015–2019 over 367 Chinese cities: Spatiotemporal variations, meteorological and topographical impacts S. Zhao et al. 10.1016/j.envpol.2020.114694
56. Mesoscale wind field patterns conducive to the high-PM2.5 episodes over South Korea: Cluster analysis D. Choi et al. 10.1016/j.atmosenv.2024.120653
57. Dominant synoptic patterns associated with the decay process of PM<sub>2.5</sub> pollution episodes around Beijing X. Wang et al. 10.5194/acp-21-2491-2021
58. The thermodynamic structures of the planetary boundary layer dominated by synoptic circulations and the regular effect on air pollution in Beijing Y. Jiang et al. 10.5194/acp-21-6111-2021
59. Decadal changes in PM2.5-related health impacts in China from 1990 to 2019 and implications for current and future emission controls S. Yin 10.1016/j.scitotenv.2022.155334
60. A new approach for optimizing air pollutant emissions using Newtonian relaxation and the coupled WRF-CAMx model: a case study in Xuzhou city, China Y. Li et al. 10.1007/s12517-020-06002-5
61. Analysis of Spatio-Temporal Variation Characteristics of Main Air Pollutants in Shijiazhuang City Y. Tui et al. 10.3390/su13020941
62. Diurnal Patterns in Global Fine Particulate Matter Concentration M. Manning et al. 10.1021/acs.estlett.8b00573
63. The impact of large-scale circulation on daily fine particulate matter (PM<sub>2.5</sub>) over major populated regions of China in winter Z. Jia et al. 10.5194/acp-22-6471-2022
64. Seasonal patterns in rice and wheat residue burning and surface PM2.5 concentration in northern India C. Montes et al. 10.1016/j.aeaoa.2022.100154
65. Resilience of finite clusters of carbon flux network under localized attack T. Qing et al. 10.1063/5.0206900
66. Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017 M. Andrés Hernández et al. 10.5194/acp-22-5877-2022
67. Memory Behaviors of Air Pollutions and Their Spatial Patterns in China P. Yu et al. 10.3389/fphy.2022.875357
68. Atmospheric Boundary Layer—Free Troposphere Air Exchange in the North China Plain and its Impact on PM2.5 Pollution X. Jin et al. 10.1029/2021JD034641
69. Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. 10.1029/2021JD035442
70. The influence of meteorological parameters on PM2.5 and PM10 values in Ümraniye and Silivri districts of İstanbul H. ARSLAN & A. TOLTAR 10.35208/ert.1220649
71. A new process-based and scale-aware desert dust emission scheme for global climate models – Part II: Evaluation in the Community Earth System Model version 2 (CESM2) D. Leung et al. 10.5194/acp-24-2287-2024
72. Substantial changes in air pollution across China during 2015–2017 B. Silver et al. 10.1088/1748-9326/aae718
73. 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
74. Roles of meteorological factors in inter-regional variations of fine and coarse PM concentrations over the Republic of Korea G. Lee et al. 10.1016/j.atmosenv.2021.118706
75. Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions M. Ali et al. 10.1016/j.scitotenv.2023.164871
76. RETRACTED ARTICLE: Coastal environmental monitoring and port coal logistics optimization based on GIS remote sensing platform M. Yang 10.1007/s12517-021-07420-9
77. Meteorology-driven PM2.5 interannual variability over East Asia C. Wang et al. 10.1016/j.scitotenv.2023.166911
78. 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
79. Meteorological Change and Impacts on Air Pollution: Results From North China Z. Xu et al. 10.1029/2020JD032423
80. Pollution patterns and their meteorological analysis all over China L. Zhou et al. 10.1016/j.atmosenv.2020.118108
81. Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions L. Chen et al. 10.1016/j.scitotenv.2020.140837
82. Quantitative evaluation of impacts of the steadiness and duration of urban surface wind patterns on air quality J. Xie et al. 10.1016/j.scitotenv.2022.157957
83. A salient oceanic driver for the interannual variability of wintertime haze days over the Pearl River Delta region, China Y. Chang et al. 10.1007/s00704-020-03111-9
84. Predictions of air quality and challenges for eliminating air pollution during the 2022 Olympic Winter Games W. Yang et al. 10.1016/j.atmosres.2024.107225
85. The Seesaw Pattern of PM2.5 Interannual Anomalies Between Beijing‐Tianjin‐Hebei and Yangtze River Delta Across Eastern China in Winter X. Liu et al. 10.1029/2021GL095878
86. Changes in concentrations of fine and coarse particles under the CO2-induced global warming D. Yang et al. 10.1016/j.atmosres.2019.104637
87. Short‐Term Weather Patterns Modulate Air Quality in Eastern China During 2015–2016 Winter S. Zhao et al. 10.1029/2018JD029409