40 citations as recorded by crossref.

1. A decadal climatology of cloud vertical structure over the Indo-Gangetic Plain using radiosonde and radar observations S. Sharma et al. https://doi.org/10.1016/j.atmosres.2021.105949
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3. Climatology of Cloud Vertical Structures from Long-Term High-Resolution Radiosonde Measurements in Beijing Q. Zhou et al. https://doi.org/10.3390/atmos11040401
4. Comparison of microphysics parameterization schemes on cloud macrophysics forecasts for mixed convective-stratiform cloud events T. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106284
5. The behavior of cloud base height over a hilly remote station of North-East India using ground-based remote sensing technique A. Kundu et al. https://doi.org/10.1016/j.atmosres.2022.106512
6. Cloud heights retrieval from passive satellite measurements using lapse rate information W. Zhang et al. https://doi.org/10.1016/j.rse.2025.114622
7. Cloud vertical structure over a tropical station obtained using long-term high-resolution radiosonde measurements N. Narendra Reddy et al. https://doi.org/10.5194/acp-18-11709-2018
8. 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
9. Biases in the thermodynamic structure over the Southern Ocean in ERA5 and their radiative implications S. Truong et al. https://doi.org/10.1002/joc.7672
10. Modeling atmospheric longwave radiation at the surface during overcast skies: The role of cloud base height A. Viúdez‐Mora et al. https://doi.org/10.1002/2014JD022310
11. Three-dimensional cloud radar reflectivity reconstruction from geostationary multispectral imagery using a context-aware Transformer S. Zhang et al. https://doi.org/10.1016/j.jag.2026.105275
12. Observed Variability of Cloud Frequency and Cloud-Base Height within 3600 m above the Surface over the Contiguous United States N. An et al. https://doi.org/10.1175/JCLI-D-16-0559.1
13. Rain drop size variation with cloud base height at a tropical location A. Adhikari et al. https://doi.org/10.1007/s12648-016-0936-4
14. 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
15. Cloud Properties under Different Synoptic Circulations: Comparison of Radiosonde and Ground-Based Active Remote Sensing Measurements J. Zhang et al. https://doi.org/10.3390/atmos7120154
16. Observed Correlation between Aerosol and Cloud Base Height for Low Clouds at Baltimore and New York, United States S. Gebremariam et al. https://doi.org/10.3390/atmos9040143
17. 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
18. The formation mechanism of air pollution episodes in Beijing city: Insights into the measured feedback between aerosol radiative forcing and the atmospheric boundary layer stability D. Zhao et al. https://doi.org/10.1016/j.scitotenv.2019.07.255
19. Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
20. Behavior of Cloud Base Height over Sumatra Mountains Region from Ceilometer Observations H. Yusnaini et al. https://doi.org/10.1016/j.atmosres.2025.107978
21. Vertical Structure and Radiative Forcing of Monsoon Clouds Over Kanpur During the 2016 INCOMPASS Field Campaign G. George et al. https://doi.org/10.1002/2017JD027759
22. Evaluation and Improvement of a CALIPSO-Based Algorithm for Cloud Base Height in China R. Li & X. Ma https://doi.org/10.3390/rs16152801
23. Raman lidar water vapor profiling over Warsaw, Poland I. Stachlewska et al. https://doi.org/10.1016/j.atmosres.2017.05.004
24. Assessing Rapid Variability in Atmospheric Apparent Optical Depth with an Array Spectrometer System J. González & J. Calbó https://doi.org/10.3390/rs12182917
25. Radiative Transfer Simulation in the Near-Space Region for a Point Source at High Temperature Based on a Monte Carlo Method M. Liu et al. https://doi.org/10.3390/rs17162769
26. Assessment of cloudless-to-cloud transition zone from downwelling longwave irradiance measurements J. González et al. https://doi.org/10.1016/j.atmosres.2023.106657
27. Twenty-four-hour cloud cover calculation using a ground-based imager with machine learning B. Kim et al. https://doi.org/10.5194/amt-14-6695-2021
28. Cloud base height retrieval from multi-angle satellite data C. Böhm et al. https://doi.org/10.5194/amt-12-1841-2019
29. Use of multiplatform in-situ observation to study vertical structure and microphysics of clouds during southwest monsoon over Western Ghats, India P. Leena et al. https://doi.org/10.1016/j.atmosres.2023.106780
30. Effects of Dynamic Range and Sampling Rate of an Infrared Thermometer to the Accuracy of the Cloud Detection H. Won & M. Ahn https://doi.org/10.3390/rs10071049
31. Robust variation trends in cloud vertical structure observed from three-decade radiosonde record at Lindenberg, Germany H. Luo et al. https://doi.org/10.1016/j.atmosres.2022.106469
32. Cloud cover detection combining high dynamic range sky images and ceilometer measurements R. Román et al. https://doi.org/10.1016/j.atmosres.2017.06.006
33. An investigation of cloud base height in Chiang Mai S. Peengam & K. Tohsing https://doi.org/10.1088/1742-6596/901/1/012040
34. Comparing Water Vapor Mixing Ratio Profiles and Cloud Vertical Structure from Multiwavelength Raman Lidar Retrievals and Radiosounding Measurements M. Costa-Surós et al. https://doi.org/10.1051/epjconf/201611924005
35. Cloud-top temperature inversion derived from long-term radiosonde measurements at the ARM TWP and NSA sites J. Zhang https://doi.org/10.1016/j.atmosres.2020.105113
36. A New Algorithm for Estimating Low Cloud-Base Height in Southwest China R. Wang et al. https://doi.org/10.1175/JAMC-D-21-0221.1
37. Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. https://doi.org/10.1002/2017JD027131
38. Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products J. Calbó et al. https://doi.org/10.1002/joc.4435
39. Developing an optimized parameterization scheme for deriving a lightning threat product from a global model for all seasons over India G. Mohan et al. https://doi.org/10.1038/s41598-025-01521-1
40. Integration of cloud top heights retrieved from FY-2 meteorological satellite, radiosonde, and ground-based millimeter wavelength cloud radar observations Y. Wang et al. https://doi.org/10.1016/j.atmosres.2018.07.025