198 citations as recorded by crossref.

1. 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
2. Assessing local emission for air pollution via data experiments Y. Zhu et al. 10.1016/j.atmosenv.2021.118323
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4. 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
5. Mixing layer transport flux of particulate matter in Beijing, China Y. Liu et al. 10.5194/acp-19-9531-2019
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. Cause of nocturnal surface ozone enhancement in the North China Plain T. Hao et al. 10.1016/j.scitotenv.2024.176583
13. 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
14. 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
15. Long-term trends of global maximum atmospheric mixed layer heights derived from radiosonde measurements J. Li et al. 10.1088/1748-9326/ab7952
16. 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
17. 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
18. 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
19. 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
20. 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
21. Vertical profile of particulate matter: A review of techniques and methods R. Dubey et al. 10.1007/s11869-022-01192-1
22. Measurement report: aerosol hygroscopic properties extended to 600 nm in the urban environment C. Shen et al. 10.5194/acp-21-1375-2021
23. 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
24. 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
25. The impact of synoptic patterns on summertime ozone pollution in the North China Plain Y. Dong et al. 10.1016/j.scitotenv.2020.139559
26. Energy Mechanism of Atmospheric Boundary Layer Development Over the Tibetan Plateau C. Zhao et al. 10.1029/2022JD037332
27. 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
28. 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
29. 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
30. How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning? Z. Tian et al. 10.3390/rs15153780
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks L. Li & J. Wu 10.1016/j.rse.2020.112257
39. WRF-Chem modeling study of heat wave driven ozone over southeast region, India P. Gupta et al. 10.1016/j.envpol.2023.122744
40. 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
41. 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
42. 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
43. Heterogeneous Nitrate Production Mechanisms in Intense Haze Events in the North China Plain Y. Chan et al. 10.1029/2021JD034688
44. 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
45. 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
46. 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
47. Baseline of Surface and Column-Integrated Aerosol Loadings in the Pearl River Delta Region, China X. Fan et al. 10.3389/fenvs.2022.893408
48. 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
49. 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
50. 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
51. Rapid reappearance of air pollution after cold air outbreaks in northern and eastern China Q. Liu et al. 10.5194/acp-22-13371-2022
52. 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
53. Rare-Earth Elements and Heavy Metals in Atmospheric Particulate Matter in an Urban Area S. Rabha et al. 10.1021/acsearthspacechem.2c00009
54. 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
55. 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
56. 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
57. Modeling diurnal variation of surface PM<sub>2.5</sub> 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
58. 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
59. Relationship analysis of PM<sub>2.5</sub> and boundary layer height using an aerosol and turbulence detection lidar C. Wang et al. 10.5194/amt-12-3303-2019
60. 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
61. 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
62. Key Points in Air Pollution Meteorology I. Pérez et al. 10.3390/ijerph17228349
63. 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
64. 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
65. 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
66. Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM<sub>2.5</sub>): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations S. Zhai et al. 10.5194/acp-21-16775-2021
67. The role of snow in scavenging aerosol particles: A physical-chemical characterization C. Blanco-Alegre et al. 10.1016/j.scitotenv.2023.167608
68. 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
69. 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
70. Impacts of deep boundary layer on near-surface ozone concentration over the Tibetan Plateau Y. Chou et al. 10.1016/j.atmosenv.2022.119532
71. 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
72. 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
73. 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
74. Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling C. Tong et al. 10.3390/rs13163137
75. 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
76. 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
77. 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
78. 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
79. Observed decreases in on-road CO<sub>2</sub> concentrations in Beijing during COVID-19 restrictions D. Liu et al. 10.5194/acp-21-4599-2021
80. 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
81. Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments C. Souza et al. 10.3390/rs15133261
82. 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
83. 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
84. 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
85. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
86. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
87. A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models Z. Huang et al. 10.1021/acs.est.8b06326
88. 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
89. 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
90. 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
91. 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
92. Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. 10.1007/s12517-022-11097-z
93. 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
94. 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
95. On the Relationship Between Aerosol and Boundary Layer Height in Summer in China Under Different Thermodynamic Conditions M. Lou et al. 10.1029/2019EA000620
96. 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
97. 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
98. 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
99. 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
100. 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
101. 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
102. 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
103. 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
104. 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
105. 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
106. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
107. 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
108. 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
109. Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. 10.3390/rs16010207
110. Enhanced PM2.5 Decreases and O3 Increases in China During COVID‐19 Lockdown by Aerosol‐Radiation Feedback J. Zhu et al. 10.1029/2020GL090260
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. Aerosols, Clusters, Greenhouse Gases, Trace Gases and Boundary-Layer Dynamics: on Feedbacks and Interactions M. Kulmala et al. 10.1007/s10546-022-00769-8
119. 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
120. 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
121. 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
122. An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
123. Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang 10.3389/fenvs.2022.1015723
124. 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
125. 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
126. A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
127. 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
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131. 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
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147. The intensification of flash droughts across China from 1981 to 2021 S. Zhang et al. 10.1007/s00382-023-06980-8
148. 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
149. Air pollution from unconventional oil and gas development in the Eagle Ford Shale K. McPherson et al. 10.1016/j.atmosenv.2024.120812
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153. 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
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