166 citations as recorded by crossref.

1. Observation‐Driven Characterization of Soil Moisture‐Precipitation Interactions in the Central United States T. Ford et al. https://doi.org/10.1029/2022JD037934
2. The diurnal cycle from observations and ERA5 in precipitation, clouds, boundary layer height, buoyancy, and surface fluxes A. Dai https://doi.org/10.1007/s00382-024-07182-6
3. Characterizing the near-global cloud vertical structures over land using high-resolution radiosonde measurements H. Xu et al. https://doi.org/10.5194/acp-23-15011-2023
4. Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison K. Julaha et al. https://doi.org/10.1016/j.atmosres.2024.107897
5. Remote sensing of air pollutants in China to study the effects of emission reduction policies on air quality G. de Leeuw et al. https://doi.org/10.1016/j.jastp.2024.106392
6. Assessing the high-resolution PM2.5 measurements over a Central Himalayan site: impact of mountain meteorology and episodic events V. Rawat et al. https://doi.org/10.1007/s11869-023-01429-7
7. From lowland plains to the Altiplano: The impacts of regional transport of wildfire smoke on the air quality of Bolivian cities E. Mollinedo et al. https://doi.org/10.1016/j.atmosenv.2023.120137
8. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. https://doi.org/10.1016/j.jes.2022.06.033
9. AI model to improve the mountain boundary layer height of ERA5 J. Xin et al. https://doi.org/10.1016/j.atmosres.2024.107352
10. Integrating emission mitigation with climate dynamics to reduce black carbon deposition in China Y. Fan et al. https://doi.org/10.1016/j.resenv.2026.100320
11. Comparison of GLMM, RF and XGBoost Methods for Estimating Daily Relative Humidity in China Based on Remote Sensing Data Y. Yao et al. https://doi.org/10.3390/rs18020306
12. Marine Boundary Layer Heights in the Tropical and Subtropical Oceans Derived from COSMIC-2 Radio Occultation Data X. Xu et al. https://doi.org/10.1007/s00376-022-2052-z
13. Monthly Convective Boundary Layer Height Study over Brazil Using Radiosonde, ERA5, and COSMIC-2 Data G. de Arruda Moreira et al. https://doi.org/10.3390/rs17223672
14. Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter X. An et al. https://doi.org/10.1029/2022JD036732
15. Climatology of the Atmospheric Boundary Layer Height Using ERA5: Spatio-Temporal Variations and Controlling Factors S. Yang & C. Pan https://doi.org/10.3390/atmos16050573
16. Visibility-derived aerosol optical depth over global land from 1959 to 2021 H. Hao et al. https://doi.org/10.5194/essd-16-3233-2024
17. Cloud‐Surface Coupling Alters the Morning Transition From Stable to Unstable Boundary Layer T. Su et al. https://doi.org/10.1029/2022GL102256
18. Climatology, trends, and variability of planetary boundary layer height over India using high-resolution Indian reanalysis K. Shukla et al. https://doi.org/10.1007/s00704-024-05102-6
19. Sensitivity to meteorology of regional contributions to air pollution in eastern Canada: part 1: ozone and NOX R. Stevens et al. https://doi.org/10.1039/D5EA00112A
20. Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. https://doi.org/10.3390/atmos14020223
21. Astroclimatic parameters characterization at lenghu site with ERA5 products C. Bi et al. https://doi.org/10.1093/mnras/stad3414
22. Influence of meteorological conditions and seasonality on PM1 and organic aerosol sources at a rural background site R. Lhotka et al. https://doi.org/10.1016/j.atmosenv.2025.121028
23. Airborne fungal spore concentrations double but diversity decreases with warmer winter temperatures in the Brazilian Atlantic Forest biodiversity hotspot M. Mantoani et al. https://doi.org/10.1016/j.microb.2025.100300
24. Identification and verification of worst-case radiological transport scenarios for Ireland: A simulation-based approach to nuclear emergency preparedness (2011–2024) M. Sturrock et al. https://doi.org/10.1016/j.scitotenv.2026.181817
25. Evaluation of Climatological Precipitation Datasets and Their Hydrological Application in the Hablehroud Watershed, Iran H. Salehi et al. https://doi.org/10.3390/w16071028
26. Observed multiscale dynamical processes responsible for an extreme gust event in Beijing X. Guo et al. https://doi.org/10.5194/acp-26-2391-2026
27. Seasonality of Radon-222 near the surface at King Sejong Station (62°S), Antarctic Peninsula, and the role of atmospheric circulation based on observations and CAM-Chem model S. Jun et al. https://doi.org/10.1016/j.envres.2022.113998
28. Rainfall effects on vertical profiles of airborne fungi over a mixed land-use context at the Brazilian Atlantic Forest biodiversity hotspot M. Mantoani et al. https://doi.org/10.1016/j.agrformet.2023.109352
29. A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS J. Guo et al. https://doi.org/10.5194/essd-16-1-2024
30. Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions C. Liu et al. https://doi.org/10.3390/rs18020296
31. Factors Influencing Diurnal Variations of Cloud and Precipitation in the Yushu Area of the Tibetan Plateau B. Cao et al. https://doi.org/10.1007/s13351-022-1167-6
32. A reasonable inlet boundary for wind simulation based on a trivariate joint distribution model L. Xing et al. https://doi.org/10.1016/j.jweia.2023.105325
33. A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China S. Guan et al. https://doi.org/10.1016/j.atmosenv.2023.120043
34. Analyzing and predicting ventilation coefficient over India using long-term reanalysis datasets and hybrid machine learning approach A. Govande et al. https://doi.org/10.1007/s00704-025-05845-w
35. Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. https://doi.org/10.1002/met.2108
36. Rapid reappearance of air pollution after cold air outbreaks in northern and eastern China Q. Liu et al. https://doi.org/10.5194/acp-22-13371-2022
37. Contradictory response of ozone and particulate matter concentrations to boundary layer meteorology Y. Liu & G. Tang https://doi.org/10.1016/j.envpol.2023.123209
38. Effects of Soil Moisture, Net Radiation, and Atmospheric Vapor Pressure Deficit on Surface Evaporation Fraction at a Semi-Arid Grass Site B. Tong et al. https://doi.org/10.2139/ssrn.4100321
39. Simultaneous retrieval of hourly ground-level PM 2.5 and PM 10 from FY-4A/AGRI observations using multi-task deep learning X. Zhao et al. https://doi.org/10.1080/01431161.2026.2641831
40. A Climatology of Merged Daytime Planetary Boundary Layer Height Over China From Radiosonde Measurements J. Zhang et al. https://doi.org/10.1029/2021JD036367
41. Sensitivity analysis of the WRF simulated planetary boundary layer height to synoptic conditions over eastern China Y. Li et al. https://doi.org/10.1016/j.atmosres.2024.107330
42. Comparison of horizontal wind observed by wind profiler radars with ERA5 reanalysis data in Anhui, China X. Deng et al. https://doi.org/10.1007/s00704-022-04247-6
43. Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine M. Savenets et al. https://doi.org/10.1016/j.apr.2023.101912
44. Seasonal Analysis of Planetary Boundary Layer and Turbulence in Warsaw, Poland Through Lidar and LES Simulations R. Carneiro et al. https://doi.org/10.3390/rs16244728
45. Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. https://doi.org/10.5194/acp-23-14841-2023
46. Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach Y. Li et al. https://doi.org/10.5194/amt-19-1059-2026
47. Inter-comparison of wind measurements in the atmospheric boundary layer and the lower troposphere with Aeolus and a ground-based coherent Doppler lidar network over China S. Wu et al. https://doi.org/10.5194/amt-15-131-2022
48. Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning Y. Cho et al. https://doi.org/10.1016/j.atmosres.2023.106787
49. Characteristics of boundary layer turbulence energy budget in Shenzhen area based on coherent wind lidar observations J. Xian et al. https://doi.org/10.5194/acp-25-8427-2025
50. A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. https://doi.org/10.3390/rs14215436
51. Atmospheric Refraction Delay Toward Millimeter‐Level Lunar Laser Ranging: Correcting the Temperature‐Induced Error With Real‐Time and Co‐Located Lidar Measurements Y. He et al. https://doi.org/10.1029/2023JD039579
52. The Role of Boundary Layer Height in India on Transboundary Pollutions to the Tibetan Plateau Y. Chen et al. https://doi.org/10.2139/ssrn.4004760
53. Long-term variability of planetary boundary layer heights derived from radiosonde and flux tower observations in South Africa P. Makhokha et al. https://doi.org/10.1016/j.atmosres.2026.108842
54. Observations of the Boundary Layer in the Cape Grim Coastal Region: Interaction with Wind and the Influences of Continental Sources Z. Chen et al. https://doi.org/10.3390/rs15020461
55. Atmospheric turbulence parameters characterization and seeing forecasting at the Daocheng site using ERA5 reanalysis data Q. Zhou et al. https://doi.org/10.1093/mnras/staf2103
56. Influence of atmospheric boundary-layer dynamics on air quality of the middle- and high-density urban areas of Colombia L. Hernández Beleño et al. https://doi.org/10.1016/j.rsase.2026.101874
57. Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia C. Dias-Júnior et al. https://doi.org/10.3390/rs14184561
58. The 50-Year Evolution of the Planetary Boundary Layer in the Southern Part of Romania: Comparison Between the Determinations by the Stull Method and the Reanalysis Data from ERA5 A. Timofte et al. https://doi.org/10.3390/atmos16111247
59. Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment B. Liu et al. https://doi.org/10.5194/acp-23-3181-2023
60. Investigation of Atmospheric Dynamic and Thermodynamic Structures of Typhoon Sinlaku (2020) from High-Resolution Dropsonde and Two-Way Rawinsonde Measurements L. Liu et al. https://doi.org/10.3390/rs14112704
61. Monitoring the Atmospheric Boundary Layer Height Using Ceilometer Lidar Over the Northeast India P. Sahu et al. https://doi.org/10.1007/s12524-025-02375-w
62. Skillful subseasonal soil moisture drought forecasts with deep learning-dynamic models K. Lesinger & D. Tian https://doi.org/10.1038/s41467-025-62761-3
63. Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China C. Zuo et al. https://doi.org/10.1016/j.atmosenv.2023.119795
64. A Geostationary Satellite Precipitation Estimation Machine Learning Model With Dynamic Sample Balancing for Fengyun-4B H. Sai et al. https://doi.org/10.1109/TGRS.2026.3681960
65. An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al. https://doi.org/10.5194/amt-16-4289-2023
66. Minute-Scale and Mesoscale Atmospheric Motion Vectors Retrieved From Fengyun-4B Geostationary Satellite High-Speed Imager Measurements P. Xia et al. https://doi.org/10.1109/TGRS.2024.3461733
67. Beni Mellal isoplanatic angle as determined by ERA5 T. Mouhtafid et al. https://doi.org/10.1007/s10686-025-10015-x
68. Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations A. Delgado-Bonal et al. https://doi.org/10.3389/frsen.2022.780243
69. A comparative study of the atmospheric water vapor in the Atacama and Namib Desert J. Vicencio Veloso et al. https://doi.org/10.1016/j.gloplacha.2023.104320
70. Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data K. Peng et al. https://doi.org/10.1016/j.atmosres.2023.106925
71. Climatology of the planetary boundary layer height over China and its characteristics during periods of extremely temperature Y. Wang et al. https://doi.org/10.1016/j.atmosres.2023.106960
72. Turbulent energy budget analysis based on coherent wind lidar observations J. Xian et al. https://doi.org/10.5194/acp-25-441-2025
73. MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning J. Ma et al. https://doi.org/10.1016/j.scitotenv.2022.154363
74. Assessment of the near surface air pollution, sources, and their potential at a tropical urban location Hyderabad, India V. Jayachandran & T. Rao https://doi.org/10.1007/s11356-025-37338-8
75. Can ERA5 reanalysis data characterize the pre-storm environment? J. Wu et al. https://doi.org/10.1016/j.atmosres.2023.107108
76. Evaluation and Application of Atmospheric Boundary Layer Profiles from Aircraft Meteorological Reports in Europe D. Liu et al. https://doi.org/10.3390/atmos17060531
77. The role of boundary layer height in India on transboundary pollutions to the Tibetan Plateau Y. Chen et al. https://doi.org/10.1016/j.scitotenv.2022.155816
78. Drivers of Cloud Condensation Nuclei in the Eastern North Atlantic as Observed at the ARM Site V. Ghate et al. https://doi.org/10.1029/2023JD038636
79. NO2 Forecasting by China Meteorological Administration Evaluated According to TROPOMI Sentinel-5P Satellite Measurements and Surface Network H. Zhou et al. https://doi.org/10.3390/atmos17010021
80. Technical note: Evolution of convective boundary layer height estimated by Ka-band continuous millimeter wave radar at Wuhan in central China Z. Zhang et al. https://doi.org/10.5194/acp-25-3347-2025
81. Comparative Analysis of Planetary Boundary Layer Heights During the BELLA CIAO Measurement Campaign in Italy A. Salcedo-Bosch et al. https://doi.org/10.3390/rs18050730
82. Diurnal Variation in Cloud and Precipitation Characteristics in Summer over the Tibetan Plateau and Sichuan Basin B. Cao et al. https://doi.org/10.3390/rs14112711
83. Deep-learning-derived planetary boundary layer height from conventional meteorological measurements T. Su & Y. Zhang https://doi.org/10.5194/acp-24-6477-2024
84. Planetary Boundary Layer Height Estimation: Methodology and Case Study Using NAST-I FIREX-AQ Field Campaign Data H. Jang et al. https://doi.org/10.1109/JSTARS.2025.3556546
85. Unique atmospheric boundary layer structures driven by lake effects W. Ma et al. https://doi.org/10.1038/s43247-026-03234-3
86. Regional air quality: biomass burning impacts of SO2 emissions on air quality in the Himalayan region of Uttarakhand, India A. Gautam et al. https://doi.org/10.1007/s11869-023-01426-w
87. Estimation of daytime planetary boundary layer height (PBLH) over the tropics and subtropics using COSMIC-2/FORMOSAT-7 GNSS–RO measurements M. Santosh https://doi.org/10.1016/j.atmosres.2022.106361
88. Comparisons and quality control of wind observations in a mountainous city using wind profile radar and the Aeolus satellite H. Lu et al. https://doi.org/10.5194/amt-17-167-2024
89. Statistical comparison and hydrological utility evaluation of ERA5-Land and IMERG precipitation products on the Tibetan Plateau X. Wu et al. https://doi.org/10.1016/j.jhydrol.2023.129384
90. Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. https://doi.org/10.5194/acp-22-13067-2022
91. Turbulent kinetic energy dissipation rate in the lower troposphere using the 205 MHz radar at Kochi, India K. Ahana et al. https://doi.org/10.1016/j.jastp.2023.106133
92. A New Image Compensation and Segmentation Algorithm to Retrieve Atmospheric Boundary Layer Height for LiDAR RHI 2-D Scan L. Chen et al. https://doi.org/10.1109/TGRS.2026.3673864
93. Regionalization of the Summertime Planetary Boundary Layer Height in Comparison with Various Reanalysis Datasets Over China Z. Xu et al. https://doi.org/10.2139/ssrn.4171533
94. Spatiotemporal variation characteristics of global fires and their emissions H. Fan et al. https://doi.org/10.5194/acp-23-7781-2023
95. Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi A. Sengupta et al. https://doi.org/10.1016/j.apr.2022.101426
96. Impact of monsoon phases on atmospheric boundary layer dynamics over the Indian subcontinent and surrounding oceans C. Linsha et al. https://doi.org/10.1016/j.jastp.2026.106765
97. Investigation of Atmospheric Boundary Layer Dynamics Over the Himalayan Foothill Region: Insights from Ground-Based LiDAR Observations and WRF Model S. Srivastava et al. https://doi.org/10.1007/s12524-025-02400-y
98. Long term trends in global air pollution potential and its application to ventilation corridors H. Kannemadugu et al. https://doi.org/10.1007/s11869-024-01563-w
99. Estimation of Boundary Layer Height From Radar Wind Profiler by Deep Learning Algorithms Z. Tong et al. https://doi.org/10.1109/TGRS.2024.3434403
100. The Prestorm Environment and Prediction for Local‐ and Nonlocal‐Scale Precipitation: Insights Gained From High‐Resolution Radiosonde Measurements Across China J. Zhang et al. https://doi.org/10.1029/2021JD036395
101. Intercomparison of tropopause height climatologies: high-resolution radiosonde measurements versus ERA5 reanalysis Y. Gou et al. https://doi.org/10.5194/acp-25-17319-2025
102. The Impact of Urbanization on Mesoscale Convective Systems in the Yangtze River Delta Region of China: Insights Gained From Observations and Modeling T. Xian et al. https://doi.org/10.1029/2022JD037709
103. Satellite-derived constraints on the effect of drought stress on biogenic isoprene emissions in the southeastern US Y. Wang et al. https://doi.org/10.5194/acp-22-14189-2022
104. Stability Dependence of the Turbulent Dissipation Rate in the Convective Atmospheric Boundary Layer Y. Lv et al. https://doi.org/10.1029/2023GL103326
105. Investigation of the atmospheric boundary layer characteristics over a high altitude station in North East India using measurements and reanalysis datasets M. Gogoi et al. https://doi.org/10.1007/s00704-024-04997-5
106. Long-term AI prediction of ammonium levels in rivers using transformer and ensemble models A. Ali & A. Ahmed https://doi.org/10.1016/j.clwat.2024.100051
107. Elucidating the atmospheric boundary layer turbulence by combining UHF radar wind profiler and radiosonde measurements over urban area of Beijing R. Solanki et al. https://doi.org/10.1016/j.uclim.2022.101151
108. On three types of sea breeze in Qingdao of East China: an observational analysis Z. Guo et al. https://doi.org/10.3389/fenvs.2023.1188952
109. Mixed layer height retrievals using MicroPulse Differential Absorption Lidar L. Colberg et al. https://doi.org/10.5194/amt-18-6069-2025
110. Energy Mechanism of Atmospheric Boundary Layer Development Over the Tibetan Plateau C. Zhao et al. https://doi.org/10.1029/2022JD037332
111. Occurrence frequency of subcritical Richardson numbers assessed by global high-resolution radiosonde and ERA5 reanalysis J. Shao et al. https://doi.org/10.5194/acp-23-12589-2023
112. 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. https://doi.org/10.5194/acp-22-1453-2022
113. Drivers of extreme burnt area in Portugal: fire weather and vegetation T. Calheiros et al. https://doi.org/10.5194/nhess-22-4019-2022
114. Nighttime ozone in the lower boundary layer: insights from 3-year tower-based measurements in South China and regional air quality modeling G. He et al. https://doi.org/10.5194/acp-23-13107-2023
115. Quantifying Altitudinal Mercury Accumulation in Biomonitors along Himalayan Valleys Using Mercury Isotopes X. Cai et al. https://doi.org/10.1021/acs.est.4c10224
116. Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China C. Hu et al. https://doi.org/10.1016/j.envpol.2022.119767
117. Structure and development of the atmospheric boundary layer over a small island (Mahé Island, Seychelles) in the equatorial Indian Ocean M. Santosh https://doi.org/10.1007/s00703-022-00924-3
118. Regionalization of the summertime planetary boundary layer height in comparison with various reanalysis datasets over China Z. Xu et al. https://doi.org/10.1016/j.atmosres.2022.106534
119. Effects of soil moisture, net radiation, and atmospheric vapor pressure deficit on surface evaporation fraction at a semi-arid grass site B. Tong et al. https://doi.org/10.1016/j.scitotenv.2022.157890
120. Characteristics and Formation Mechanism of the Cloud Vertical Structure Over the Southeastern Tibetan Plateau in Summer J. Ma et al. https://doi.org/10.1029/2022EA002811
121. Tropospheric Gravity Waves Increase the Likelihood of Double Tropopauses J. Shao et al. https://doi.org/10.1029/2023GL105724
122. The Effects of Planetary Boundary Layer Features on Air Pollution Based on ERA5 Data in East China X. Deng et al. https://doi.org/10.3390/atmos14081273
123. Variability in the Raindrop Size Distribution during an Extreme Large-Scale Freezing Rain Event in Northeast China Z. Fu et al. https://doi.org/10.1007/s13351-025-4150-1
124. Do aerosols induce the differences in low cloud frequency between eastern China and eastern United States? H. Xu et al. https://doi.org/10.1016/j.atmosres.2025.107994
125. A high-resolution divergence and vorticity dataset in Beijing derived from radar wind profiler mesonet measurements X. Guo et al. https://doi.org/10.5194/essd-17-3541-2025
126. Assessing the Impact of Climate Change on an Ungauged Watershed in the Congo River Basin S. Masamba et al. https://doi.org/10.3390/w16192825
127. Traveling 10-Day Waves at Mid-Latitudes in the Troposphere and Lower Stratosphere Revealed by Radiosonde Observations and MERRA-2 Data in 2020 L. Yang et al. https://doi.org/10.3390/atmos13050656
128. Elucidating the boundary layer turbulence dissipation rate using high-resolution measurements from a radar wind profiler network over the Tibetan Plateau D. Meng et al. https://doi.org/10.5194/acp-24-8703-2024
129. Understanding the diurnal cycle of land–atmosphere interactions from flux site observations E. Seo & P. Dirmeyer https://doi.org/10.5194/hess-26-5411-2022
130. Properties and characteristics of atmospheric deserts over Europe: a first statistical analysis F. Fix-Hewitt et al. https://doi.org/10.5194/wcd-7-17-2026
131. Atmospheric circulation anomaly over mid- and high-latitudes and its association with severe persistent haze events in Beijing W. Hua & B. Wu https://doi.org/10.1016/j.atmosres.2022.106315
132. The unique atmospheric boundary layer over the Tibetan Plateau X. Chen & Y. Ma https://doi.org/10.1360/TB-2024-1294
133. Medium- and Long-Term Precipitation Forecasting Method Based on Data Augmentation and Machine Learning Algorithms T. Tang et al. https://doi.org/10.1109/JSTARS.2022.3140442
134. Vertical stratification of aerosols over South Asian cities T. Banerjee et al. https://doi.org/10.1016/j.envpol.2022.119776
135. Climatology of hailstorms over India (1994–2023): exploring trends and associations with thermodynamic indices . Bhavyasree et al. https://doi.org/10.1007/s11069-026-08049-1
136. Impacts of meteorology and mixing height on radioactive and stable aerosols in Bratislava, Slovakia M. Sultani et al. https://doi.org/10.1016/j.atmosres.2024.107710
137. Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. https://doi.org/10.1016/j.rse.2024.114321
138. Bridging the Data Gap: Enhancing the Spatiotemporal Accuracy of Hourly PM2.5 Concentration through the Fusion of Satellite-Derived Estimations and Station Observations W. Chu et al. https://doi.org/10.3390/rs15204973
139. Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. https://doi.org/10.1016/j.rse.2023.113847
140. Diurnal Cycles of Cloud Properties and Precipitation Patterns over the Northeastern Tibetan Plateau During Summer B. Cao et al. https://doi.org/10.3390/rs16214059
141. Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features D. Zhao et al. https://doi.org/10.1109/TGRS.2025.3639069
142. Investigation of the Global Spatio-Temporal Characteristics of Astronomical Seeing C. Bi et al. https://doi.org/10.3390/rs15092225
143. Particulate matter forecast and prediction in Curitiba using machine learning M. Chaves et al. https://doi.org/10.3389/fdata.2024.1412837
144. Investigation of low-level supergeostrophic wind and Ekman spiral as observed by a radar wind profiler in Beijing S. Wang et al. https://doi.org/10.3389/fenvs.2023.1195750
145. 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. https://doi.org/10.1029/2021GL095878
146. Quantitative attribution of wintertime haze in coastal east China to local emission and regional intrusion under a stagnant internal boundary layer T. Yang et al. https://doi.org/10.1016/j.atmosenv.2022.119006
147. Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data J. Wei et al. https://doi.org/10.1021/acs.est.3c00272
148. Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain T. Xu et al. https://doi.org/10.3390/atmos15030277
149. 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. https://doi.org/10.5194/amt-18-1841-2025
150. Characteristics of the Arctic Planetary Boundary Layer Height From Multiple Radio Occultations L. Chang et al. https://doi.org/10.1109/TGRS.2023.3342193
151. Multi-Scale Meteorological Impact on PM2.5 Pollution in Tangshan, Northern China Q. Liang et al. https://doi.org/10.3390/toxics12090685
152. Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7
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