120 citations as recorded by crossref.

1. Distributional characteristics and causes of single-layer stratiform clouds over typical region in the southeastern Pacific Ocean X. Deng et al. https://doi.org/10.1016/j.atmosres.2025.108207
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3. Vertically resolved physical and radiative response of ice clouds to aerosols during the Indian summer monsoon season F. Mao et al. https://doi.org/10.1016/j.rse.2018.06.027
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5. Spatial and temporal distribution of the cloud optical depth over China based on MODIS satellite data during 2003–2016 X. Li et al. https://doi.org/10.1016/j.jes.2018.08.010
6. The June–September Low Cloud Cover in Western Central Africa: Mean Spatial Distribution and Diurnal Evolution, and Associated Atmospheric Dynamics A. Dommo et al. https://doi.org/10.1175/JCLI-D-17-0082.1
7. Atmospheric Instability Dominates the Long‐Term Variation of Cloud Vertical Overlap Over the Southern Great Plains Site J. Li et al. https://doi.org/10.1029/2019JD030954
8. Do Citizen Science Intense Observation Periods Increase Data Usability? A Deep Dive of the NASA GLOBE Clouds Data Set With Satellite Comparisons J. Dodson et al. https://doi.org/10.1029/2021EA002058
9. African summer monsoon active and break spells cloud properties: Insight from CloudSat-CALIPSO E. Eric et al. https://doi.org/10.1016/j.atmosres.2020.104842
10. Cloud parameter retrieval based on satellite data: A review of methods, advances, and challenges Z. Li et al. https://doi.org/10.1016/j.atmosres.2026.109130
11. Aerosol Effect on the Cloud Phase of Low‐Level Clouds Over the Arctic M. Filioglou et al. https://doi.org/10.1029/2018JD030088
12. Assessing Overlapping Cloud Top Heights: An Extrapolation Method and Its Performance Z. Tan et al. https://doi.org/10.1109/TGRS.2022.3170054
13. A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS) J. Wang et al. https://doi.org/10.1016/j.rse.2019.02.024
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15. Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios H. Luo et al. https://doi.org/10.5194/acp-23-8169-2023
16. Classification of Turbulent Mixing Driven Sources in Marine Atmospheric Boundary Layer With Use of Shipborne Coherent Doppler Lidar Observations X. Wang et al. https://doi.org/10.1029/2023JD038918
17. Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements I. Ylivinkka et al. https://doi.org/10.5194/amt-13-5595-2020
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20. Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds L. Zamora et al. https://doi.org/10.5194/acp-17-7311-2017
21. When do clouds and aerosols lead to higher canopy photosynthesis? K. van Diepen et al. https://doi.org/10.1016/j.agrformet.2025.110597
22. Information content of OCO-2 oxygen A-band channels for retrieving marine liquid cloud properties M. Richardson & G. Stephens https://doi.org/10.5194/amt-11-1515-2018
23. Observation of Multilayer Clouds and Their Climate Effects: A Review J. Xue et al. https://doi.org/10.3390/atmos16060692
24. Aerosol optical properties and its type classification based on multiyear joint observation campaign in north China plain megalopolis Y. Zheng et al. https://doi.org/10.1016/j.chemosphere.2020.128560
25. Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. https://doi.org/10.3390/atmos14121769
26. Description and validation of the Japanese algorithm for radiative flux and heating rate products with all four EarthCARE instruments: pre-launch test with A-Train A. Yamauchi et al. https://doi.org/10.5194/amt-17-6751-2024
27. Variability of Multilayer Cloud Field Structure over Western and Eastern Siberia in Summer and Winter in 2006–2023 Based on CALIPSO Data A. Skorokhodov & K. Kuryanovich https://doi.org/10.1134/S1024856025700083
28. Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al. https://doi.org/10.1016/j.atmosres.2024.107316
29. Observed response of marine boundary layer cloud to the interannual variations of summertime Oyashio extension SST front N. Takahashi et al. https://doi.org/10.1007/s00382-021-05649-4
30. An improved hydrometeor detection method for millimeter-wavelength cloud radar J. Ge et al. https://doi.org/10.5194/acp-17-9035-2017
31. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. https://doi.org/10.5194/acp-21-4357-2021
32. Cloud Characteristics in South China Using Ka-Band Millimeter Cloud Radar Datasets H. Li et al. https://doi.org/10.3390/atmos15040486
33. The Change in Low Cloud Cover in a Warmed Climate Inferred from AIRS, MODIS, and ERA-Interim D. McCoy et al. https://doi.org/10.1175/JCLI-D-15-0734.1
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36. Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. https://doi.org/10.1002/joc.7790
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39. Vertical profile of cloud amount over Poland: Variability and uncertainty based on CloudSat–CALIPSO observations A. Kotarba https://doi.org/10.1002/joc.5558
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44. The impact of atmospheric stability and wind shear on vertical cloud overlap over the Tibetan Plateau J. Li et al. https://doi.org/10.5194/acp-18-7329-2018
45. A new approach for identifying dominant cloud types and relationships between cloud types and precipitation vertical structure in tropical regions Y. Lin et al. https://doi.org/10.1016/j.aosl.2025.100606
46. Evaluation of the CMIP6 planetary albedo climatology using satellite observations B. Jian et al. https://doi.org/10.1007/s00382-020-05277-4
47. Regime‐Specific Cloud Vertical Overlap Characteristics From Radar and Lidar Observations at the ARM Sites K. Balmes et al. https://doi.org/10.1029/2022JD037772
48. 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
49. Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic Y. Liu https://doi.org/10.5194/acp-22-8151-2022
50. A Supercooled Water Cloud Detection Algorithm Using Himawari‐8 Satellite Measurements Z. Wang et al. https://doi.org/10.1029/2018JD029784
51. Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission S. Hall et al. https://doi.org/10.5194/acp-18-16809-2018
52. Generalizing Cloud Overlap Treatment to Include the Effect of Wind Shear F. Di Giuseppe & A. Tompkins https://doi.org/10.1175/JAS-D-14-0277.1
53. How Does Cloud Overlap Affect the Radiative Heating in the Tropical Upper Troposphere/Lower Stratosphere? E. Johansson et al. https://doi.org/10.1029/2019GL082602
54. High small ice concentration in stratiform clouds over Eastern China based on aircraft observations: Habit properties and potential roles of secondary ice production Y. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106495
55. Impact of Interactive Vertical Overlap of Cumulus and Stratus on Global Aerosol, Precipitation, and Radiation Processes in the Seoul National University Atmosphere Model Version 0 With a Unified Convection Scheme (SAM0‐UNICON) S. Park et al. https://doi.org/10.1029/2019MS001643
56. Seasonal variation of atmospheric vertical extinction and its interaction with meteorological factors in the Yangtze River Delta region B. Qi et al. https://doi.org/10.1016/j.chemosphere.2019.125768
57. Cloud overlapping parameter obtained from CloudSat/CALIPSO dataset and its application in AGCM with McICA scheme X. Jing et al. https://doi.org/10.1016/j.atmosres.2015.11.007
58. Climatology and Interannual Variability of Cloudiness in the Atlantic Arctic from Surface Observations since the Late Nineteenth Century A. Chernokulsky et al. https://doi.org/10.1175/JCLI-D-16-0329.1
59. Competition Between Radiative and Seeding Effects of Overlying Clouds on Underlying Marine Stratocumulus B. Jian et al. https://doi.org/10.1029/2022GL100729
60. Cloud phase characteristics over Southeast Asia from A-Train satellite observations Y. Hong & L. Di Girolamo https://doi.org/10.5194/acp-20-8267-2020
61. Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al. https://doi.org/10.1109/TGRS.2021.3087714
62. Influence of the Subtropical High and Storm Track on Low-Cloud Fraction and Its Seasonality over the South Indian Ocean A. Miyamoto et al. https://doi.org/10.1175/JCLI-D-17-0229.1
63. Remote Sensing Retrieval of Cloud Top Height Using Neural Networks and Data from Cloud-Aerosol Lidar with Orthogonal Polarization Y. Cheng et al. https://doi.org/10.3390/s24020541
64. Distinct Dynamical and Structural Properties of Marine Stratocumulus and Shallow Cumulus Clouds in the Eastern North Atlantic J. Jeong et al. https://doi.org/10.1029/2022JD037021
65. Long-term three-dimensional distribution and transport of Saharan dust: Observation from CALIPSO, MODIS, and reanalysis data A. Merdji et al. https://doi.org/10.1016/j.atmosres.2023.106658
66. Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al. https://doi.org/10.1016/j.scitotenv.2020.137699
67. Ten Years of Aerosol Effects on Single-Layer Overcast Clouds over the US Southern Great Plains and the China Loess Plateau H. Yan & T. Wang https://doi.org/10.1155/2020/6719160
68. Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017 H. Zhao et al. https://doi.org/10.1016/j.chemosphere.2019.125737
69. Long-term variation of cloud droplet number concentrations from space-based Lidar J. Li et al. https://doi.org/10.1016/j.rse.2018.05.011
70. Cloud type frequency over Poland (2003–2021) revealed by independent satellite‐based (MODIS) and surface‐based (SYNOP) observations I. Wojciechowska et al. https://doi.org/10.1002/joc.8141
71. Validation of MODIS cloud mask and multilayer flag using CloudSat‐CALIPSO cloud profiles and a cross‐reference of their cloud classifications T. Wang et al. https://doi.org/10.1002/2016JD025239
72. Cloud vertical distribution from combined surface and space radar–lidar observations at two Arctic atmospheric observatories Y. Liu et al. https://doi.org/10.5194/acp-17-5973-2017
73. Evaluating parallax and shadow correction methods for global horizontal irradiance retrievals from Meteosat SEVIRI J. Wiltink et al. https://doi.org/10.5194/amt-18-3917-2025
74. Retrieval of radiative and microphysical properties of clouds from multispectral infrared measurements H. Iwabuchi et al. https://doi.org/10.1186/s40645-016-0108-3
75. Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning M. Min et al. https://doi.org/10.1109/TGRS.2018.2874950
76. Advances in studies of cloud overlap and its radiative transfer in climate models H. Zhang & X. Jing https://doi.org/10.1007/s13351-016-5164-5
77. Characteristics of Oceanic Warm Cloud Layers within Multilevel Cloud Systems Derived by Satellite Measurements Y. Ding et al. https://doi.org/10.3390/atmos10080465
78. Dust Aerosol’s Deposition and its Effects on Chlorophyll-A Concentrations Based on Multi-Sensor Satellite Observations and Model Simulations: A Case Study W. Wang et al. https://doi.org/10.3389/fenvs.2022.875365
79. Oblique laser transmission and scattering characteristics of multilayer ice-water mixed clouds based on the successive scattering method Y. Wei et al. https://doi.org/10.1088/1402-4896/ace2fb
80. Effects of biomass burning on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observations and WRF-Chem model simulations: A case study W. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105526
81. Spatial Distributions of Cloud Occurrences in Terms of Volume Fraction as Inferred from CloudSat and CALIPSO Y. Ding et al. https://doi.org/10.3390/rs15163978
82. Errors in global cloud climatology due to transect sampling with the CALIPSO satellite lidar mission A. Kotarba https://doi.org/10.1016/j.atmosres.2022.106379
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88. Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China J. Zhu et al. https://doi.org/10.5194/acp-19-14637-2019
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116. Seasonal and Interannual Variation Characteristics of Low-Cloud Fraction in Different North Pacific Regions Q. Wang et al. https://doi.org/10.3390/atmos10030126
117. Clouds and plant ecophysiology: missing links for understanding climate change impacts N. Hughes et al. https://doi.org/10.3389/ffgc.2024.1330561
118. Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al. https://doi.org/10.5194/essd-16-3001-2024
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120. Features of the Cloud Base Height and Determining the Threshold of Relative Humidity over Southeast China Y. Liu et al. https://doi.org/10.3390/rs11242900