107 citations as recorded by crossref.

1. Assessing local emission for air pollution via data experiments Y. Zhu et al. 10.1016/j.atmosenv.2021.118323
2. 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
3. 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
4. Mixing layer transport flux of particulate matter in Beijing, China Y. Liu et al. 10.5194/acp-19-9531-2019
5. 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
6. 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
7. East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR CPC ) Z. Li et al. 10.1029/2019JD030758
8. Enhanced PM 2.5 Decreases and O 3 Increases in China During COVID‐19 Lockdown by Aerosol‐Radiation Feedback J. Zhu et al. 10.1029/2020GL090260
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. 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
11. 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
12. 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
13. 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
14. 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
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. 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
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. 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
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. 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
22. PM<sub>2.5</sub> ∕ PM<sub>10</sub> ratio prediction based on a long short-term memory neural network in Wuhan, China X. Wu et al. 10.5194/gmd-13-1499-2020
23. 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
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. Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees J. Wei et al. 10.5194/acp-20-3273-2020
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. 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
29. 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
30. 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
31. 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
32. 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
33. Model bias in simulating major chemical components of PM<sub>2.5</sub> in China R. Miao et al. 10.5194/acp-20-12265-2020
34. Puzzling Haze Events in China During the Coronavirus (COVID‐19) Shutdown Y. Chang et al. 10.1029/2020GL088533
35. 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
36. 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
37. 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
38. Satellite‐based top‐down Lagrangian approach to quantify aerosol emissions over California S. Nizar & B. Dodamani 10.1002/qj.3756
39. 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
40. 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
41. 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
42. 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
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
44. 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
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
46. The warming Tibetan Plateau improves winter air quality in the Sichuan Basin, China S. Zhao et al. 10.5194/acp-20-14873-2020
47. 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
48. 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
49. 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
50. High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China L. Li 10.3390/rs13122324
51. 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
52. Variations in Nocturnal Residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China X. Ma et al. 10.3390/rs13224717
53. 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
54. Heterogeneous Nitrate Production Mechanisms in Intense Haze Events in the North China Plain Y. Chan et al. 10.1029/2021JD034688
55. 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
56. 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
57. 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
58. Deep Learning Estimation of Daily Ground‐Level NO 2 Concentrations From Remote Sensing Data M. Ghahremanloo et al. 10.1029/2021JD034925
59. 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
60. Abnormally Shallow Boundary Layer Associated With Severe Air Pollution During the COVID‐19 Lockdown in China T. Su et al. 10.1029/2020GL090041
61. 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
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. 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. 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
66. Atmospheric heating rate due to black carbon aerosols: Uncertainties and impact factors Q. Lu et al. 10.1016/j.atmosres.2020.104891
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. Key Points in Air Pollution Meteorology I. Pérez et al. 10.3390/ijerph17228349
76. 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
77. 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
78. 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
79. 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
80. 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
81. Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling C. Tong et al. 10.3390/rs13163137
82. 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
83. 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
84. 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
85. 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
86. 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
87. 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
88. 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
89. 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
90. 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
91. 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
92. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
93. 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
94. A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models Z. Huang et al. 10.1021/acs.est.8b06326
95. 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
96. 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
97. 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
98. A foehn-induced haze front in Beijing: observations and implications J. Li et al. 10.5194/acp-20-15793-2020
99. Himawari-8-derived diurnal variations in ground-level PM<sub>2.5</sub> pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM) J. Wei et al. 10.5194/acp-21-7863-2021
100. 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
101. 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
102. On the Relationship Between Aerosol and Boundary Layer Height in Summer in China Under Different Thermodynamic Conditions M. Lou et al. 10.1029/2019EA000620
103. 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
104. 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
105. 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
106. 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
107. Method to Estimate Water Vapor Supersaturation in the Ambient Activation Process Using Aerosol and Droplet Measurement Data C. Shen et al. 10.1029/2018JD028315