222 citations as recorded by crossref.

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15. CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements N. Taquet et al. 10.5194/acp-24-11823-2024
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25. The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions T. Su et al. 10.5194/acp-20-3713-2020
26. The impact of synoptic patterns on summertime ozone pollution in the North China Plain Y. Dong et al. 10.1016/j.scitotenv.2020.139559
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31. Impact of dust radiation effect on simulations of temperature and wind – A case study in Taklimakan Desert H. Li & C. Wang 10.1016/j.atmosres.2022.106163
32. How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning? Z. Tian et al. 10.3390/rs15153780
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39. Linking Satellite and Ground Observations of NO2 in Spanish Cities: Influence of Meteorology and O3 C. Morillas et al. 10.3390/nitrogen6020032
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41. A Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL M. Zhang et al. 10.3390/rs13091781
42. Measurement report: characteristics of clear-day convective boundary layer and associated entrainment zone as observed by a ground-based polarization lidar over Wuhan (30.5° N, 114.4° E) F. Liu et al. 10.5194/acp-21-2981-2021
43. Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks L. Li & J. Wu 10.1016/j.rse.2020.112257
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45. Elucidating the impacts of rapid urban expansion on air quality in the Yangtze River Delta, China X. Zhang et al. 10.1016/j.scitotenv.2021.149426
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47. Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand P. Wongnakae et al. 10.1007/s11356-023-28698-0
48. A novel method for quantifying the contribution of regional transport to PM2.5 in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis K. Hu et al. 10.5194/gmd-18-3623-2025
49. Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al. 10.5194/acp-25-4965-2025
50. Heterogeneous Nitrate Production Mechanisms in Intense Haze Events in the North China Plain Y. Chan et al. 10.1029/2021JD034688
51. The spatio-temporal evolution of black carbon in the North-West European ‘air pollution hotspot’ K. Wyche et al. 10.1016/j.atmosenv.2020.117874
52. Detection by Space-Borne and Ground-Based Lidar Observations of Air Pollution on the Example of the Hefei Area H. Yang et al. 10.1007/s10812-022-01312-w
53. Diurnal and seasonal variation of planetary boundary layer height over East Asia and its climatic change as seen in the ERA-5 reanalysis data K. Kim 10.1007/s42452-021-04918-5
54. Baseline of Surface and Column-Integrated Aerosol Loadings in the Pearl River Delta Region, China X. Fan et al. 10.3389/fenvs.2022.893408
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56. The interaction between black carbon and planetary boundary layer in the Yangtze River Delta from 2015 to 2020: Why O3 didn't decline so significantly as PM2.5 Y. Tan et al. 10.1016/j.envres.2022.114095
57. 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
58. A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS J. Guo et al. 10.5194/essd-16-1-2024
59. Rapid reappearance of air pollution after cold air outbreaks in northern and eastern China Q. Liu et al. 10.5194/acp-22-13371-2022
60. Kinetic and experimental study of multimodal PM generation in coal char combustion Y. Shang et al. 10.1016/j.combustflame.2025.114272
61. Investigating the performance of satellite-based models in estimating the surface PM2.5 over China L. Dong et al. 10.1016/j.chemosphere.2020.127051
62. Rare-Earth Elements and Heavy Metals in Atmospheric Particulate Matter in an Urban Area S. Rabha et al. 10.1021/acsearthspacechem.2c00009
63. Three-dimensional climatology, trends, and meteorological drivers of global and regional tropospheric type-dependent aerosols: insights from 13 years (2007–2019) of CALIOP observations K. Gui et al. 10.5194/acp-21-15309-2021
64. Long-Term Trend Comparison of Planetary Boundary Layer Height in Observations and CMIP6 Models over China M. Yue et al. 10.1175/JCLI-D-20-1000.1
65. A European aerosol phenomenology – 9: Light absorption properties of carbonaceous aerosol particles across surface Europe J. Rovira et al. 10.1016/j.envint.2024.109185
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71. Evaluation of WRF-Chem model (v3.9.1.1) real-time air quality forecasts over the Eastern Mediterranean G. Georgiou et al. 10.5194/gmd-15-4129-2022
72. Characteristics of aerosol within the nocturnal residual layer and its effects on surface PM2.5 over China Y. Shi et al. 10.1016/j.atmosenv.2020.117841
73. Key Points in Air Pollution Meteorology I. Pérez et al. 10.3390/ijerph17228349
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75. Climatology, trends, and variability of planetary boundary layer height over India using high-resolution Indian reanalysis K. Shukla et al. 10.1007/s00704-024-05102-6
76. 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
77. Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations S. Zhai et al. 10.5194/acp-21-16775-2021
78. The role of snow in scavenging aerosol particles: A physical-chemical characterization C. Blanco-Alegre et al. 10.1016/j.scitotenv.2023.167608
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