225 citations as recorded by crossref.

1. Correlating particulate matter and planetary boundary layer dynamics in northwestern South America: A case study of Santiago de Cali D. Arias-Arana et al. 10.1016/j.apr.2024.102352
2. The role of boundary layer height in India on transboundary pollutions to the Tibetan Plateau Y. Chen et al. 10.1016/j.scitotenv.2022.155816
3. Assessing local emission for air pollution via data experiments Y. Zhu et al. 10.1016/j.atmosenv.2021.118323
4. A case study of heavy PM2.5 secondary formation by N2O5 nocturnal chemistry in Seoul, Korea in January 2018: Model performance and error analysis H. Jo et al. 10.1016/j.atmosres.2021.105951
5. Atmospheric pollutants response to the emission reduction and meteorology during the COVID-19 lockdown in the north of Africa (Morocco) S. Sbai et al. 10.1007/s00477-022-02224-z
6. Mixing layer transport flux of particulate matter in Beijing, China Y. Liu et al. 10.5194/acp-19-9531-2019
7. A comprehensive study of the COVID-19 impact on PM2.5 levels over the contiguous United States: A deep learning approach M. Ghahremanloo et al. 10.1016/j.atmosenv.2022.118944
8. Simulating the effects of land urbanization on regional meteorology and air quality in Yangtze River Delta, China T. Chen et al. 10.1016/j.apgeog.2020.102228
9. Spatial heterogeneity in boundary layer dynamism and PM2.5 surface concentration over the complex terrain of Brahmaputra valley B. Paul & A. Das 10.1016/j.rsase.2022.100828
10. Impact of synoptic meteorological conditions on air quality in three different case studies in Rome, Italy A. Di Bernardino et al. 10.1016/j.apr.2021.02.019
11. Air monitoring for illegal drugs including new psychoactive substances: A review of trends, techniques and thermal degradation products L. Gent & R. Paul 10.1002/dta.3051
12. Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean G. Tuna Tuygun et al. 10.1016/j.atmosenv.2021.118562
13. Unraveling urban nighttime aerosol characteristics and meteorological factors on AOD-PM relationships in East Asia J. Li et al. 10.1016/j.atmosenv.2025.121388
14. Cause of nocturnal surface ozone enhancement in the North China Plain T. Hao et al. 10.1016/j.scitotenv.2024.176583
15. Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data Y. Sun et al. 10.3390/rs13214276
16. 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
17. Long-term trends of global maximum atmospheric mixed layer heights derived from radiosonde measurements J. Li et al. 10.1088/1748-9326/ab7952
18. Particulate pollution over an urban Himalayan site: Temporal variability, impact of meteorology and potential source regions S. Romshoo et al. 10.1016/j.scitotenv.2021.149364
19. Maritime and coastal observations of ambient PM2.5 and its elemental compositions in the Bohai Bay of China during spring and summer: Levels, spatial distribution and source apportionment X. Yang et al. 10.1016/j.atmosres.2023.106897
20. Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
21. Spatio-temporal variation of aerosol loading and planetary boundary layer height before, during and after COVID-19 lockdown over the major cities in India A. Salunke et al. 10.1007/s41324-024-00586-w
22. Calibrating MERRA-2 PM2.5 concentrations with aerosol diagnostics: testing different machine learning approaches in the Eastern Mediterranean G. Tuna Tuygun et al. 10.1007/s11869-022-01250-8
23. Vertical profile of particulate matter: A review of techniques and methods R. Dubey et al. 10.1007/s11869-022-01192-1
24. Measurement report: aerosol hygroscopic properties extended to 600 nm in the urban environment C. Shen et al. 10.5194/acp-21-1375-2021
25. Investigation into the nocturnal ozone in a typical industrial city in North China Plain, China R. Pan et al. 10.1016/j.envpol.2024.124627
26. 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
27. The impact of synoptic patterns on summertime ozone pollution in the North China Plain Y. Dong et al. 10.1016/j.scitotenv.2020.139559
28. Energy Mechanism of Atmospheric Boundary Layer Development Over the Tibetan Plateau C. Zhao et al. 10.1029/2022JD037332
29. The impact of different aerosol layering conditions on the high-resolution MODIS/MAIAC AOD retrieval bias: The uncertainty analysis I. Rogozovsky et al. 10.1016/j.atmosenv.2023.119930
30. Identifying cloud, precipitation, windshear, and turbulence by deep analysis of the power spectrum of coherent Doppler wind lidar J. Yuan et al. 10.1364/OE.412809
31. Spatial variation, temporal evolution, and source direction apportionment of PM1, PM2.5, and PM10: 3-year assessment in Turin (Po Valley) D. Mecca et al. 10.1007/s10661-024-13446-9
32. 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
33. How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning? Z. Tian et al. 10.3390/rs15153780
34. Response of fine particulate matter and ozone concentrations to meteorology and anthropogenic precursors over the “2+26” cities of northern China P. Liu et al. 10.1016/j.chemosphere.2024.141439
35. Analysis of the dependence of the observed urban air pollution extremes in the vicinity of coal fuelled power plants on combined effects of anthropogenic and meteorological drivers A. Gardašević et al. 10.1016/j.envdev.2024.101095
36. Estimating hourly surface PM2.5 concentrations with full spatiotemporal coverage in China using Himawari-8/9 AOD and a two-stage model S. Zhang et al. 10.1016/j.apr.2025.102519
37. Analysis of the Gridded Influencing Factors of the PM2.5 Concentration in Sichuan Province Based on a Stacked Machine Learning Model Y. Wu et al. 10.1007/s41742-022-00494-7
38. Observational study of aerosol-induced impact on planetary boundary layer based on lidar and sunphotometer in Beijing H. Wang et al. 10.1016/j.envpol.2019.05.070
39. Analyzing the influence of the planetary boundary layer height, ventilation coefficient, thermal inversions, and aerosol optical Depth on the concentration of PM2.5 in the city of São Paulo: A long-term study G. Moreira et al. 10.1016/j.apr.2024.102179
40. Linking Satellite and Ground Observations of NO2 in Spanish Cities: Influence of Meteorology and O3 C. Morillas et al. 10.3390/nitrogen6020032
41. Research on the impact of land use and land cover changes on local meteorological conditions and surface ozone in the north China plain from 2001 to 2020 C. Fang et al. 10.1038/s41598-025-85940-0
42. 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
43. 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
44. Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks L. Li & J. Wu 10.1016/j.rse.2020.112257
45. WRF-Chem modeling study of heat wave driven ozone over southeast region, India P. Gupta et al. 10.1016/j.envpol.2023.122744
46. 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
47. On the relation between the planetary boundary layer height and in situ surface observations of atmospheric aerosol pollutants during spring in an urban area R. Foskinis et al. 10.1016/j.atmosres.2024.107543
48. 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
49. 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
50. 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
51. Heterogeneous Nitrate Production Mechanisms in Intense Haze Events in the North China Plain Y. Chan et al. 10.1029/2021JD034688
52. 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
53. 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
54. 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
55. Baseline of Surface and Column-Integrated Aerosol Loadings in the Pearl River Delta Region, China X. Fan et al. 10.3389/fenvs.2022.893408
56. Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison K. Julaha et al. 10.1016/j.atmosres.2024.107897
57. 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
58. 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
59. 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
60. Rapid reappearance of air pollution after cold air outbreaks in northern and eastern China Q. Liu et al. 10.5194/acp-22-13371-2022
61. Kinetic and experimental study of multimodal PM generation in coal char combustion Y. Shang et al. 10.1016/j.combustflame.2025.114272
62. 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
63. Rare-Earth Elements and Heavy Metals in Atmospheric Particulate Matter in an Urban Area S. Rabha et al. 10.1021/acsearthspacechem.2c00009
64. 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
65. 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
66. 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
67. Vertical Profiles of Aerosol Optical Properties (VIS/NIR) over Wetland Environment: POLIMOS-2018 Field Campaign M. Chilinski et al. 10.3390/rs16234580
68. The Climatology of Lower Tropospheric Temperature Inversions in China from Radiosonde Measurements: Roles of Black Carbon, Local Meteorology, and Large-Scale Subsidence J. Guo et al. 10.1175/JCLI-D-19-0278.1
69. Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Q. Du et al. 10.5194/acp-20-2839-2020
70. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al. 10.1016/j.rse.2020.112136
71. Relationship analysis of PM2.5 and boundary layer height using an aerosol and turbulence detection lidar C. Wang et al. 10.5194/amt-12-3303-2019
72. 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
73. 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
74. Key Points in Air Pollution Meteorology I. Pérez et al. 10.3390/ijerph17228349
75. Investigation of near-global daytime boundary layer height using high-resolution radiosondes: first results and comparison with ERA5, MERRA-2, JRA-55, and NCEP-2 reanalyses J. Guo et al. 10.5194/acp-21-17079-2021
76. 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
77. 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
78. 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
79. The role of snow in scavenging aerosol particles: A physical-chemical characterization C. Blanco-Alegre et al. 10.1016/j.scitotenv.2023.167608
80. Impact of the implementation of Madrid's low emission zone on NO2 concentration using Sentinel-5P/TROPOMI data C. Morillas et al. 10.1016/j.atmosenv.2024.120326
81. Joint Retrieval of PM2.5 Concentration and Aerosol Optical Depth over China Using Multi-Task Learning on FY-4A AGRI B. Li et al. 10.1007/s00376-024-3222-y
82. Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China D. Chen et al. 10.1016/j.atmosenv.2021.118545
83. Impacts of deep boundary layer on near-surface ozone concentration over the Tibetan Plateau Y. Chou et al. 10.1016/j.atmosenv.2022.119532
84. Impacts of aerosol direct effects on PM2.5 and O3 respond to the reductions of different primary emissions in Beijing-Tianjin-Hebei and surrounding area X. Zhao et al. 10.1016/j.atmosenv.2023.119948
85. A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions T. Su et al. 10.1016/j.rse.2019.111519
86. Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017 Q. Jin et al. 10.1016/j.atmosenv.2020.117718
87. Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling C. Tong et al. 10.3390/rs13163137
88. Chemical characteristics and oxidative potential of indoor and outdoor PM2.5 in densely populated urban slums A. Anand et al. 10.1016/j.envres.2022.113562
89. Seasonal chemical characteristics and formation of potential secondary aerosols of a remote area in South Korea using an oxidation flow reactor S. Kang et al. 10.1016/j.atmosenv.2025.121216
90. Temporal characteristics and vertical profiles of atmospheric CH4 at the northern foot of the Qinling Mountains in China W. Liu et al. 10.1016/j.atmosenv.2024.120786
91. Observational constraint on momentum flux-gradient relationships reduces modeling biases of PBL mixing of particles in urban area Q. Yang et al. 10.1088/2515-7620/ad9e86
92. Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: Application to Himawari-8 T. Su et al. 10.1016/j.rse.2020.112093
93. Anticipation of Air Pollution Density Patterns Affected by Wind Velocity Based on Fourier Transform Spectrometer Across the Silk Road Countries by Using EcoBeltSat—A 6U CubeSat V. Rastinasab & H. Weidong 10.1109/JMASS.2021.3068218
94. Observed decreases in on-road CO2 concentrations in Beijing during COVID-19 restrictions D. Liu et al. 10.5194/acp-21-4599-2021
95. Methodology to determine the coupling of continental clouds with surface and boundary layer height under cloudy conditions from lidar and meteorological data T. Su et al. 10.5194/acp-22-1453-2022
96. Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments C. Souza et al. 10.3390/rs15133261
97. Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm J. Liu et al. 10.1016/j.atmosenv.2019.04.002
98. Statistical modelling of roadside and urban background ultrafine and accumulation mode particle number concentrations using generalized additive models L. Gerling et al. 10.1016/j.scitotenv.2019.134570
99. Improvement of inorganic aerosol component in PM2.5 by constraining aqueous-phase formation of sulfate in cloud with satellite retrievals: WRF-Chem simulations T. Sha et al. 10.1016/j.scitotenv.2021.150229
100. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
101. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
102. A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models Z. Huang et al. 10.1021/acs.est.8b06326
103. Three-year black carbon aerosol synthesis over a pristine location surrounded by hillocks in Haryana state, India P. Devara et al. 10.1016/j.heliyon.2024.e25128
104. Aerosol Physical‐Optical Properties and PBLH Under Different Air Pollution Levels From Ground Lidar and Satellite Observations Over Shouxian Area, China Y. Zhang et al. 10.1029/2021JD035236
105. The use of radon as a tracer for air quality assessment: a case study in Bratislava, Slovakia M. Sultani et al. 10.1007/s10967-023-08969-3
106. Diurnal Climatology of Planetary Boundary Layer Height Over the Contiguous United States Derived From AMDAR and Reanalysis Data Y. Zhang et al. 10.1029/2020JD032803
107. Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. 10.1007/s12517-022-11097-z
108. Turbulent characteristics in complex coastal areas assessed using BSWO observations and WRF-LES simulation results E. Kim et al. 10.1016/j.atmosres.2023.106756
109. Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al. 10.1016/j.apr.2021.101310
110. On the Relationship Between Aerosol and Boundary Layer Height in Summer in China Under Different Thermodynamic Conditions M. Lou et al. 10.1029/2019EA000620
111. Pollutants variability over the Kingdom of Saudi Arabia A. Saber et al. 10.1016/j.aeaoa.2025.100343
112. The unexpected high frequency of nocturnal surface ozone enhancement events over China: characteristics and mechanisms C. He et al. 10.5194/acp-22-15243-2022
113. Impact of urbanized atmosphere-land processing to the near-ground distribution of air pollution over Central Liaoning Urban Agglomeration W. Zhang et al. 10.1016/j.atmosenv.2024.120866
114. Prognosis of boundary layer assimilative capacity over a landlocked urban district in India: A prelude to exposure risk assessment N. Kumar & A. Middey 10.1016/j.uclim.2021.101076
115. Vertical Gradient Variations in Radiation Budget and Heat Fluxes in the Urban Boundary Layer: A Comparison Study Between Polluted and Clean Air Episodes in Beijing During Winter L. Wang et al. 10.1029/2020JD032478
116. Vertical Profiling of Fresh Biomass Burning Aerosol Optical Properties over the Greek Urban City of Ioannina, during the PANACEA Winter Campaign C. Papanikolaou et al. 10.3390/atmos13010094
117. Evaluating the climate projections for China through the lens of the simulations of planetary boundary layer height J. Meng et al. 10.1016/j.atmosres.2023.106975
118. TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al. 10.3390/rs12142212
119. Modeling the impacts of land use/land cover change on meteorology and air quality during 2000–2018 in the Yangtze River Delta region, China L. Li et al. 10.1016/j.scitotenv.2022.154669
120. Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter H. Zhang et al. 10.5194/acp-24-10617-2024
121. Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. 10.5194/acp-23-14271-2023
122. A comprehensive review of vertical profiling of ambient air quality-particulate matter and its impacts on climatic & environmental health P. Nyayapathi et al. 10.1007/s11869-025-01697-5
123. A framework for scalable ambient air pollution concentration estimation L. Berrisford et al. 10.1017/eds.2025.9
124. Evaluating the role of urban green infrastructure in combating traffic-related microplastic pollution A. Khan et al. 10.1016/j.scitotenv.2025.179688
125. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
126. Comparative Analysis of Laser Radar for Tracing Atmospheric Particulate Matter 文. 夏 10.12677/aep.2025.155081
127. Comparative measurement of CO2, CH4 and CO at two traffic interjunctions having inflated vehicular flow in Delhi . Komal et al. 10.1016/j.jes.2023.06.023
128. Nighttime ozone excess days and the associated meteorological conditions in the North China Plain from 2015 to 2022 J. Xue et al. 10.1016/j.atmosenv.2024.120561
129. Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. 10.3390/rs16010207
130. Enhanced PM2.5 Decreases and O3 Increases in China During COVID‐19 Lockdown by Aerosol‐Radiation Feedback J. Zhu et al. 10.1029/2020GL090260
131. A Coupled Deep Learning Model for Estimating Surface NO2 Levels From Remote Sensing Data: 15‐Year Study Over the Contiguous United States M. Ghahremanloo et al. 10.1029/2022JD037010
132. Development of a coupled aerosol lidar data quality assurance and control scheme with Monte Carlo analysis and bilateral filtering H. Wang et al. 10.1016/j.scitotenv.2020.138844
133. Measure-specific environmental benefits of air pollution control for coal-fired industrial boilers in China from 2015 to 2017 K. Wang et al. 10.1016/j.envpol.2021.116470
134. A Case Study of Air Quality and a Health Index over a Port, an Urban and a High-Traffic Location in Rhodes City I. Logothetis et al. 10.3390/air1020011
135. 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
136. Estimates of the spatially complete, observational-data-driven planetary boundary layer height over the contiguous United States Z. Ayazpour et al. 10.5194/amt-16-563-2023
137. The different sensitivities of aerosol optical properties to particle concentration, humidity, and hygroscopicity between the surface level and the upper boundary layer in Guangzhou, China X. Jin et al. 10.1016/j.scitotenv.2021.150010
138. Aerosols, Clusters, Greenhouse Gases, Trace Gases and Boundary-Layer Dynamics: on Feedbacks and Interactions M. Kulmala et al. 10.1007/s10546-022-00769-8
139. Long-term meteorology-adjusted and unadjusted trends of PM2.5 using the AirGAM model over Delhi, 2007–2022 . Chetna et al. 10.1016/j.aeaoa.2024.100255
140. Entanglement of near-surface optical turbulence to atmospheric boundary layer dynamics and particulate concentration: implications for optical wireless communication systems N. Anand et al. 10.1364/AO.381737
141. Interaction between aerosol and thermodynamic stability within the planetary boundary layer during wintertime over the North China Plain: aircraft observation and WRF-Chem simulation H. Luo et al. 10.5194/acp-22-2507-2022
142. An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
143. Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang 10.3389/fenvs.2022.1015723
144. Domain knowledge-enhanced multi-spatial multi-temporal PM2.5 forecasting with integrated monitoring and reanalysis data Y. Hu et al. 10.1016/j.envint.2024.108997
145. PM2.5 ∕ PM10 ratio prediction based on a long short-term memory neural network in Wuhan, China X. Wu et al. 10.5194/gmd-13-1499-2020
146. A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
147. Contrasting Effect of Soil Moisture on the Daytime Boundary Layer Under Different Thermodynamic Conditions in Summer Over China Z. Xu et al. 10.1029/2020GL090989
148. Evaluation of the Planetary Boundary Layer Height in China Predicted by the CMA-GFS Global Model H. Long et al. 10.3390/atmos13050845
149. Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia C. Dias-Júnior et al. 10.3390/rs14184561
150. TROPOMI NO2 Sentinel-5P data in the Community of Madrid: A detailed consistency analysis with in situ surface observations C. Morillas et al. 10.1016/j.rsase.2023.101083
151. Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees J. Wei et al. 10.5194/acp-20-3273-2020
152. Effects of Anthropogenic Emission Control and Meteorology Changes on the Inter-Annual Variations of PM2.5–AOD Relationship in China L. Qi et al. 10.3390/rs14184683
153. Field Evaluation of an Automated Pollen Sensor C. Jiang et al. 10.3390/ijerph19116444
154. Vertical Changes of Pm2.5 Concentration Driven by Meteorology in the Atmospheric Boundary Layer During a Heavy Air Pollution Event in Central China X. Sun et al. 10.2139/ssrn.4135986
155. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. 10.1016/j.atmosenv.2020.117768
156. 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
157. Extending the EOS Long-Term PM2.5 Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products J. Wei et al. 10.1109/TGRS.2021.3050999
158. Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis L. Chen et al. 10.5194/acp-19-10845-2019
159. Model bias in simulating major chemical components of PM2.5 in China R. Miao et al. 10.5194/acp-20-12265-2020
160. Puzzling Haze Events in China During the Coronavirus (COVID‐19) Shutdown Y. Chang et al. 10.1029/2020GL088533
161. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke L. Li et al. 10.1016/j.envint.2020.106143
162. RETRACTED: Meteorological influences on air pollution dynamics in pollution epicentre of National Capital Region, India S. Mahato et al. 10.1016/j.chemosphere.2025.144353
163. Assessment of factors affecting the diurnal variations of atmospheric PAHs based on a numerical simulation Z. Zhen et al. 10.1016/j.scitotenv.2022.158975
164. Short-term impacts of 2017 western North American wildfires on meteorology, the atmosphere’s energy budget, and premature mortality D. Bernstein et al. 10.1088/1748-9326/ac02ee
165. Investigating Meteorological Factors Influencing Pollutant Concentrations and Copernicus Atmosphere Monitoring Service (CAMS) Model Forecasts in the Tehran Metropolis S. Karami et al. 10.3390/atmos16030264
166. Relationship between summer time near-surface ozone concentration and planetary boundary layer height in Beijing C. Zhang et al. 10.1016/j.atmosres.2023.106892
167. Satellite‐based top‐down Lagrangian approach to quantify aerosol emissions over California S. Nizar & B. Dodamani 10.1002/qj.3756
168. Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain K. Cui et al. 10.1016/j.atmosenv.2025.121244
169. Spatial Disparity of Meteorological Impacts on Carbon Monoxide Pollution in China during the COVID-19 Lockdown Period J. Lin et al. 10.1021/acsearthspacechem.1c00251
170. The intensification of flash droughts across China from 1981 to 2021 S. Zhang et al. 10.1007/s00382-023-06980-8
171. Shift in the Temporal Trend of Boundary Layer Height in China Using Long‐Term (1979–2016) Radiosonde Data J. Guo et al. 10.1029/2019GL082666
172. Air pollution from unconventional oil and gas development in the Eagle Ford Shale K. McPherson et al. 10.1016/j.atmosenv.2024.120812
173. Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China J. Liu et al. 10.3390/rs11182120
174. The warming Tibetan Plateau improves winter air quality in the Sichuan Basin, China S. Zhao et al. 10.5194/acp-20-14873-2020
175. A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations W. Chen et al. 10.1007/s00376-021-1257-x
176. Characteristics of Heavy Particulate Matter Pollution Events Over Hong Kong and Their Relationships With Vertical Wind Profiles Using High‐Time‐Resolution Doppler Lidar Measurements Y. Yang et al. 10.1029/2019JD031140
177. Effects of synoptic patterns on the vertical structure of ozone in Hong Kong using lidar measurement C. Lin et al. 10.1016/j.atmosenv.2021.118490
178. High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China L. Li 10.3390/rs13122324
179. Construction of a virtual PM2.5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model K. Gui et al. 10.1016/j.envint.2020.105801
180. Sway of aerosol on Atmospheric Boundary Layer influencing air pollution of Delhi A. Nair et al. 10.1016/j.uclim.2023.101478
181. Aerosol-boundary layer interaction modulated entrainment process T. Su et al. 10.1038/s41612-022-00283-1
182. Atmospheric black carbon in a key location of the Chilean Central Andes: Identifying patterns, sources, and potential impacts M. Ruggeri et al. 10.1016/j.atmosenv.2023.120273
183. Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data S. Zhu et al. 10.1139/er-2022-0125
184. Variations in Nocturnal Residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China X. Ma et al. 10.3390/rs13224717
185. Mixing layer height estimated from AMDAR and its relationship with PMs and meteorological parameters in two cities in North China during 2014–2017 Z. Lv et al. 10.1016/j.apr.2019.11.017
186. Validation of the Atmospheric Boundary Layer Height Estimated from the MODIS Atmospheric Profile Data at an Equatorial Site S. Onyango et al. 10.3390/atmos11090908
187. Deep Learning Estimation of Daily Ground‐Level NO2 Concentrations From Remote Sensing Data M. Ghahremanloo et al. 10.1029/2021JD034925
188. Abnormally Shallow Boundary Layer Associated With Severe Air Pollution During the COVID‐19 Lockdown in China T. Su et al. 10.1029/2020GL090041
189. Multiscale CFD analysis of urban air pollution dome and ventilation enhancement via an urban chimney D. Mousavi et al. 10.1016/j.atmosenv.2024.120783
190. Design of Lidar Data Acquisition and Control System in High Repetition Rate and Photon-Counting Mode: Providing Testing for Space-Borne Lidar L. Cheng et al. 10.3390/s22103706
191. The impact threshold of the aerosol radiative forcing on the boundary layer structure in the pollution region D. Zhao et al. 10.5194/acp-21-5739-2021
192. Evaluation of PM2.5 spatio-temporal variability and hotspot formation using low-cost sensors across urban-rural landscape in lucknow, India S. Madhwal et al. 10.1016/j.atmosenv.2023.120302
193. City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. 10.1016/j.envpol.2021.116523
194. Atmospheric heating rate due to black carbon aerosols: Uncertainties and impact factors Q. Lu et al. 10.1016/j.atmosres.2020.104891
195. Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China J. Chen et al. 10.5194/acp-19-1327-2019
196. Removing the effects of meteorological factors on changes in nitrogen dioxide and ozone concentrations in China from 2013 to 2020 C. Lin et al. 10.1016/j.scitotenv.2021.148575
197. Climatology of the planetary boundary layer height over China and its characteristics during periods of extremely temperature Y. Wang et al. 10.1016/j.atmosres.2023.106960
198. Enhancing spatiotemporal coverage of satellite-derived high-resolution NO2 data with a super-resolution model M. Zhang et al. 10.1016/j.rse.2025.114897
199. Vertical changes of PM2.5 driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China X. Sun et al. 10.1016/j.scitotenv.2022.159830
200. Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations R. Song et al. 10.1016/j.atmosenv.2021.118724
201. Land-sea difference of the planetary boundary layer structure and its influence on PM2.5 — Observation and numerical simulation S. Han et al. 10.1016/j.scitotenv.2022.159881
202. Anthropogenic warming degrades spring air quality in Northeast Asia by enhancing atmospheric stability and transboundary transport Y. Ryu & S. Min 10.1038/s41612-024-00603-7
203. Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach J. Wei et al. 10.1016/j.rse.2019.111221
204. Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches J. Wei et al. 10.1016/j.rse.2020.112005
205. Fine particulate matter (PM2.5) exposure assessment among active daily commuters to induce behaviour change to reduce air pollution A. Ilenič et al. 10.1016/j.scitotenv.2023.169117
206. Varying Drivers of 2013–2017 Trends in PM2.5 Pollution over Different Regions in China Y. Tao et al. 10.3390/atmos15070789
207. Performance evaluation of photographic measurement in the machine-learning prediction of ground PM2.5 concentration L. Feng et al. 10.1016/j.atmosenv.2021.118623
208. Meteorological mechanism of regional PM2.5 transport building a receptor region for heavy air pollution over Central China Y. Bai et al. 10.1016/j.scitotenv.2021.151951
209. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
210. Assimilating a blended dataset of satellite-based estimations and in situ observations to improve WRF-Chem PM2.5 prediction X. Ma et al. 10.1016/j.atmosenv.2023.120284
211. Ceilometers as planetary boundary layer height detectors and a corrective tool for COSMO and IFS models L. Uzan et al. 10.5194/acp-20-12177-2020
212. Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals G. Tuna Tuygun & T. Elbir 10.1007/s00477-023-02459-4
213. Aerosol-PBL relationship under diverse meteorological conditions: Insights from satellite/radiosonde measurements in North China Y. Li et al. 10.1016/j.atmosres.2025.108125
214. Establishment of aerosol optical depth dataset in the Sichuan Basin by the random forest approach M. Jiang et al. 10.1016/j.apr.2022.101394
215. Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation H. Yang et al. 10.1016/j.apr.2021.01.004
216. Characterizing urban planetary boundary layer dynamics using 3-year Doppler wind lidar measurements in a western Yangtze River Delta city, China T. Wei et al. 10.5194/amt-18-1841-2025
217. A foehn-induced haze front in Beijing: observations and implications J. Li et al. 10.5194/acp-20-15793-2020
218. Impact of Uncertainties in the Atmospheric Boundary Layer Height on the Numerical Simulation of Chemical Species S. Ren & C. Stroud 10.1007/s10546-023-00846-6
219. Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM) J. Wei et al. 10.5194/acp-21-7863-2021
220. Impacts of turbulent intermittency and pressure oscillation on persistent heavy haze pollution Q. Li et al. 10.1016/j.atmosres.2025.108305
221. Impacts of regional wind circulations on aerosol pollution and planetary boundary layer structure in Metro Manila, Philippines M. Cruz et al. 10.1016/j.atmosenv.2022.119455
222. Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey G. Tuna Tuygun & T. Elbir 10.1016/j.apr.2020.09.008
223. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
224. Temporal variability of surface air pollutants in megacities of South Korea T. Lee et al. 10.3389/fenvs.2022.915531
225. Method to Estimate Water Vapor Supersaturation in the Ambient Activation Process Using Aerosol and Droplet Measurement Data C. Shen et al. 10.1029/2018JD028315