193 citations as recorded by crossref.

1. Modeling the aerosol effects on the light field below a tubular-pipe: A case of clear sky conditions M. Kocifaj et al. https://doi.org/10.1016/j.solener.2014.05.024
2. Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds T. Eck et al. https://doi.org/10.5194/acp-14-11633-2014
3. 3-D Perspectives of Atmospheric Aerosol Optical Properties over Northeast Asia Using LIDAR on-board the CALIPSO satellite K. Lee https://doi.org/10.7780/kjrs.2014.30.5.2
4. AEROsol generic classification using a novel Satellite remote sensing Approach (AEROSA) M. Bilal et al. https://doi.org/10.3389/fenvs.2022.981522
5. Long-range transported continental aerosol in the eastern North Atlantic: three multiday event regimes influence cloud condensation nuclei F. Gallo et al. https://doi.org/10.5194/acp-23-4221-2023
6. An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. https://doi.org/10.5194/acp-16-5111-2016
7. Transport of aerosols over the French Riviera – link between ground-based lidar and spaceborne observations P. Chazette et al. https://doi.org/10.5194/acp-19-3885-2019
8. Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP T. Liao et al. https://doi.org/10.1016/j.atmosenv.2020.118145
9. Aerosol variability over oceans using micro-pulse lidar and photometer: insights from TRANSAMA ship-based campaign M. Sanchez-Barrero et al. https://doi.org/10.5194/amt-19-507-2026
10. CALIPSO climatological products: evaluation and suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-16-2341-2016
11. Combined Raman Lidar and Ka-Band Radar Aerosol Observations P. Gumà-Claramunt et al. https://doi.org/10.3390/rs17152662
12. A neural network aerosol-typing algorithm based on lidar data D. Nicolae et al. https://doi.org/10.5194/acp-18-14511-2018
13. Long-term aerosol particle depolarization ratio measurements with HALO Photonics Doppler lidar V. Le et al. https://doi.org/10.5194/amt-17-921-2024
14. 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. https://doi.org/10.1029/2021JD035236
15. Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. https://doi.org/10.5194/amt-8-3647-2015
16. Separating mixtures of aerosol types in airborne High Spectral Resolution Lidar data S. Burton et al. https://doi.org/10.5194/amt-7-419-2014
17. Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model S. Nickovic et al. https://doi.org/10.5194/acp-16-11367-2016
18. Radiative impacts of the Australian bushfires 2019–2020 – Part 2: Large-scale and in-vortex radiative heating P. Sellitto et al. https://doi.org/10.5194/acp-23-15523-2023
19. Intra-continental wildfire smoke transport and impact on local air quality observed by ground-based and satellite remote sensing in New York City Y. Wu et al. https://doi.org/10.1016/j.atmosenv.2018.06.006
20. Climate Impacts of CALIPSO‐Guided Corrections to Black Carbon Aerosol Vertical Distributions in a Global Climate Model M. Kovilakam et al. https://doi.org/10.1002/2017GL074652
21. The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. https://doi.org/10.5194/essd-12-2183-2020
22. Characterization of Aerosol Sources and Optical Properties in Siberia Using Airborne and Spaceborne Observations A. Zabukovec et al. https://doi.org/10.3390/atmos12020244
23. An Adjustment Approach for Aerosol Optical Depth Inferred from CALIPSO Z. Zeng et al. https://doi.org/10.3390/rs13163085
24. Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
25. Lidar ratio calculations from in situ aerosol optical, microphysical and chemical measurements: Observations at puy de Dôme, France and analysis with CALIOP K. Eswaran et al. https://doi.org/10.1016/j.atmosres.2023.107043
26. Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. https://doi.org/10.1029/2023JD038523
27. Nadir airborne lidar observations of deep aerosol layers F. Marenco https://doi.org/10.5194/amt-6-2055-2013
28. Determination of Lidar Ratio for Major Aerosol Types over Western North Pacific Based on Long-Term MPLNET Data S. Wang et al. https://doi.org/10.3390/rs12172769
29. Simulation of Compact Spaceborne Lidar with High-Repetition-Rate Laser for Cloud and Aerosol Detection under Different Atmospheric Conditions J. Ji et al. https://doi.org/10.3390/rs15123046
30. The MACC-II 2007–2008 reanalysis: atmospheric dust evaluation and characterization over northern Africa and the Middle East E. Cuevas et al. https://doi.org/10.5194/acp-15-3991-2015
31. Canadian Biomass Burning Aerosol Properties Modification during a Long-Ranged Event on August 2018 C. Papanikolaou et al. https://doi.org/10.3390/s20185442
32. Australian Bushfires (2019–2020): Aerosol Optical Properties and Radiative Forcing C. Papanikolaou et al. https://doi.org/10.3390/atmos13060867
33. Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. https://doi.org/10.5194/amt-16-6025-2023
34. Study on polarization scattering applied in aerosol recognition in the air D. Li et al. https://doi.org/10.1364/OE.27.00A581
35. Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al. https://doi.org/10.1016/j.jes.2017.02.002
36. Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al. https://doi.org/10.1016/j.rse.2026.115399
37. Long-term variations in aerosol optical properties, types, and radiative forcing in the Sichuan Basin, Southwest China Z. Shu et al. https://doi.org/10.1016/j.scitotenv.2021.151490
38. Vertical variation of optical properties of mixed Asian dust/pollution plumes according to pathway of air mass transport over East Asia S. Shin et al. https://doi.org/10.5194/acp-15-6707-2015
39. Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
40. Detection of atmospheric temperature by using polarization high-spectral-resolution lidar J. Wang et al. https://doi.org/10.1364/AO.412676
41. Satellite retrieval of cloud base height and geometric thickness of low-level cloud based on CALIPSO X. Lu et al. https://doi.org/10.5194/acp-21-11979-2021
42. Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al. https://doi.org/10.5194/amt-17-2739-2024
43. Potential of polarization/Raman lidar to separate fine dust, coarse dust, maritime, and anthropogenic aerosol profiles R. Mamouri & A. Ansmann https://doi.org/10.5194/amt-10-3403-2017
44. Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis F. Javan et al. https://doi.org/10.1007/s11869-025-01771-y
45. Airborne verification of CALIPSO products over the Amazon: a case study of daytime observations in a complex atmospheric scene F. Marenco et al. https://doi.org/10.5194/acp-14-11871-2014
46. Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations M. Tosca et al. https://doi.org/10.3390/rs9070674
47. LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET V. Amiridis et al. https://doi.org/10.5194/acp-15-7127-2015
48. Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. https://doi.org/10.5194/acp-21-12331-2021
49. Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation A. Moustaka et al. https://doi.org/10.5194/amt-19-1201-2026
50. Changes in cirrus cloud properties and occurrence over Europe during the COVID-19-caused air traffic reduction Q. Li & S. Groß https://doi.org/10.5194/acp-21-14573-2021
51. Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. https://doi.org/10.5194/acp-21-2211-2021
52. Annual and Seasonal Variations in Aerosol Optical Characteristics in the Huai River Basin, China from 2007 to 2021 X. Deng et al. https://doi.org/10.3390/rs16091571
53. Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
54. Clear-air lidar dark band P. Di Girolamo et al. https://doi.org/10.5194/acp-18-4885-2018
55. Assessment of CALIOP and MODIS aerosol products over Iran to explore air quality S. Zahedi Asl et al. https://doi.org/10.1007/s00704-018-2555-9
56. Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): contribution to EarthCARE validation S. Groß et al. https://doi.org/10.5194/amt-19-3933-2026
57. Surface matters: limitations of CALIPSO V3 aerosol typing in coastal regions T. Kanitz et al. https://doi.org/10.5194/amt-7-2061-2014
58. Spaceborne observations of the lidar ratio of marine aerosols K. Dawson et al. https://doi.org/10.5194/acp-15-3241-2015
59. Analysis of satellite-derived data for the study of fouling in aircraft engines N. Zanini et al. https://doi.org/10.1088/1742-6596/2385/1/012134
60. Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. https://doi.org/10.5194/amt-17-3121-2024
61. Detection of pollution outflow from Mexico City using CALIPSO lidar measurements J. Kar et al. https://doi.org/10.1016/j.rse.2015.08.009
62. An automatic observation-based aerosol typing method for EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-18-15879-2018
63. Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics D. Painemal et al. https://doi.org/10.5194/amt-12-2201-2019
64. Evaluation of Non-Spherical Particle Models for Mineral Dust in Multi-Wavelength Polarization Lidar Applications: Comparison of Spheroid, Super-Ellipsoid, and Irregular-Hexagonal Models L. Wang & D. Liu https://doi.org/10.3390/rs17233804
65. Properties of Cirrus Cloud Observed over Koror, Palau (7.3°N, 134.5°E), in Tropical Western Pacific Region X. Sun et al. https://doi.org/10.3390/rs16081448
66. Evolution of Aerosols in the Atmospheric Boundary Layer and Elevated Layers during a Severe, Persistent Haze Episode in a Central China Megacity Y. Zhang et al. https://doi.org/10.3390/atmos12020152
67. Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. https://doi.org/10.5194/amt-16-2055-2023
68. A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin https://doi.org/10.3390/atmos10030143
69. Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2021.145030
70. Three-Dimensional Physical and Optical Characteristics of Aerosols over Central China from Long-Term CALIPSO and HYSPLIT Data X. Lu et al. https://doi.org/10.3390/rs10020314
71. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. https://doi.org/10.3390/rs11050498
72. High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. https://doi.org/10.1029/2018JD028588
73. Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. https://doi.org/10.5194/amt-11-5701-2018
74. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. https://doi.org/10.5194/amt-15-4881-2022
75. Laboratory investigations of mineral dust near-backscattering depolarization ratios E. Järvinen et al. https://doi.org/10.1016/j.jqsrt.2016.02.003
76. Aerosols and lightning activity: The effect of vertical profile and aerosol type E. Proestakis et al. https://doi.org/10.1016/j.atmosres.2016.07.031
77. Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean A. Georgoulias et al. https://doi.org/10.5194/acp-16-13853-2016
78. Shortwave direct radiative effects of above-cloud aerosols over global oceans derived from 8 years of CALIOP and MODIS observations Z. Zhang et al. https://doi.org/10.5194/acp-16-2877-2016
79. Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. https://doi.org/10.5194/amt-17-2521-2024
80. 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. https://doi.org/10.5194/acp-21-15309-2021
81. Analysis of Aerosol Types and Vertical Distribution in Seven Typical Cities in East Asia Q. Tang et al. https://doi.org/10.3390/atmos15020195
82. Atmospheric scene classification using CALIPSO spaceborne lidar measurements in the Middle East and North Africa (MENA), and India F. Brakhasi et al. https://doi.org/10.1016/j.jag.2018.07.017
83. Polarimeter + Lidar–Derived Aerosol Particle Number Concentration J. Schlosser et al. https://doi.org/10.3389/frsen.2022.885332
84. Overview: Tropospheric profiling: state of the art and future challenges – introduction to the AMT special issue D. Cimini et al. https://doi.org/10.5194/amt-7-2981-2014
85. Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol Sampling Y. Hara et al. https://doi.org/10.3390/rs10060937
86. Optimizing CALIPSO Saharan dust retrievals V. Amiridis et al. https://doi.org/10.5194/acp-13-12089-2013
87. Phase matrix characterization of long-range-transported Saharan dust using multiwavelength-polarized polar imaging nephelometry E. Bazo et al. https://doi.org/10.5194/acp-25-6325-2025
88. Compact dual-wavelength depolarization lidar for aerosol characterization over the subtropical North Atlantic Y. González et al. https://doi.org/10.5194/amt-18-1885-2025
89. Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong–Hong Kong–Macao Greater Bay Area and the Northern South China Sea Q. Ma et al. https://doi.org/10.3390/rs14215464
90. Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions G. Neukermans et al. https://doi.org/10.1525/elementa.331
91. 基于机载高光谱分辨率激光雷达的气溶胶分类研究 姚. Yao Na et al. https://doi.org/10.3788/AOS230519
92. Observations of aerosol color ratio and depolarization ratio over Wuhan B. Liu et al. https://doi.org/10.1016/j.apr.2017.04.004
93. POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. https://doi.org/10.5194/amt-16-1951-2023
94. Tropospheric vertical profiling of the aerosol backscatter coefficient and the particle linear depolarization ratio for different aerosol mixtures during the PANACEA campaign in July 2019 at Volos, Greece M. Mylonaki et al. https://doi.org/10.1016/j.atmosenv.2021.118184
95. Slant Visual Range Retrieval and Analysis With Multisource Satellite Observations and SBDART Model W. Chu et al. https://doi.org/10.1109/TGRS.2026.3682446
96. Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al. https://doi.org/10.3390/rs14205162
97. Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model M. Korras-Carraca et al. https://doi.org/10.1016/j.atmosres.2019.03.024
98. Variability in Dust Observed over China Using A-Train CALIOP Instrument H. Xu et al. https://doi.org/10.1155/2016/1246590
99. Amazonian Biomass Burning Enhances Tropical Andean Glaciers Melting N. Magalhães et al. https://doi.org/10.1038/s41598-019-53284-1
100. Observationally constrained aerosol–cloud semi-direct effects R. Allen et al. https://doi.org/10.1038/s41612-019-0073-9
101. Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO Z. Wang et al. https://doi.org/10.3390/rs13091811
102. Knowledge Mapping of Cloud-Aerosol LIDAR and Infrared Pathfinder Satellite Observations Aerosol Research: A Visual Analysis Using CiteSpace C. Hu et al. https://doi.org/10.34133/olar.0074
103. Seasonal Variations in High Arctic Free Tropospheric Aerosols Over Ny‐Ålesund, Svalbard, Observed by Ground‐Based Lidar T. Shibata et al. https://doi.org/10.1029/2018JD028973
104. Radiative signature of absorbing aerosol over the eastern Mediterranean basin A. Mishra et al. https://doi.org/10.5194/acp-14-7213-2014
105. The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau C. Xu et al. https://doi.org/10.5194/acp-15-12065-2015
106. Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
107. Aerosol Optical Thickness Measurement with Elevation-Scanning Lidar P. Ionov & A. Mollner https://doi.org/10.1175/JTECH-D-14-00183.1
108. Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP E. Proestakis et al. https://doi.org/10.5194/acp-18-1337-2018
109. Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems X. Deng et al. https://doi.org/10.1364/OE.524152
110. Aloft Transport of Haze Aerosols to Xuzhou, Eastern China: Optical Properties, Sources, Type, and Components K. Qin et al. https://doi.org/10.3390/rs14071589
111. Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations Y. Yang et al. https://doi.org/10.5194/acp-21-4849-2021
112. Observations of the spectral dependence of linear particle depolarization ratio of aerosols using NASA Langley airborne High Spectral Resolution Lidar S. Burton et al. https://doi.org/10.5194/acp-15-13453-2015
113. Optical properties of aerosol and cloud particles measured by a single-line-extracted pure rotational Raman lidar L. Peng et al. https://doi.org/10.1364/OE.427864
114. Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios Z. Li et al. https://doi.org/10.5194/amt-15-2745-2022
115. 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. https://doi.org/10.3390/atmos13010094
116. Utilizing The Synergy of Airborne Backscatter Lidar and In-Situ Measurements for Evaluating CALIPSO A. Tsekeri et al. https://doi.org/10.1051/epjconf/201611904007
117. Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning S. Zeng et al. https://doi.org/10.3390/atmos12010010
118. Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. https://doi.org/10.1002/2015JD024668
119. Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar Y. Noh et al. https://doi.org/10.5194/acp-17-6271-2017
120. Swelling of transported smoke from savanna fires over the Southeast Atlantic Ocean J. Kar et al. https://doi.org/10.1016/j.rse.2018.03.043
121. Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals N. Hannadige et al. https://doi.org/10.5194/amt-16-5749-2023
122. Mediterranean intense desert dust outbreaks and their vertical structure based on remote sensing data A. Gkikas et al. https://doi.org/10.5194/acp-16-8609-2016
123. Comparisons of the vertical distributions of aerosols in the CALIPSO and GEOS-Chem datasets in China S. Li et al. https://doi.org/10.1016/j.aeaoa.2019.100036
124. Short-Range High Spectral Resolution Lidar for Aerosol Sensing Using a Compact High-Repetition-Rate Fiber Laser M. Hoyos-Restrepo et al. https://doi.org/10.3390/rs17173084
125. Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based Lidar and CALIPSO satellite K. Qin et al. https://doi.org/10.1016/j.atmosenv.2016.06.042
126. Type-based assessment of aerosol direct radiative effects: A proof-of-concept using GEOS-Chem and CATCH B. Sutherland & N. Meskhidze https://doi.org/10.1016/j.atmosres.2025.108036
127. Spring 2018 Asian Dust Events: Sources, Transportation, and Potential Biogeochemical Implications J. Yoon et al. https://doi.org/10.3390/atmos10050276
128. Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations X. Chen et al. https://doi.org/10.1016/j.jes.2022.02.036
129. Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing A. Tsekeri et al. https://doi.org/10.5194/amt-10-83-2017
130. Identification of Aerosol Sources in Siberia and Study of Aerosol Transport at Regional Scale by Airborne and Space-Borne Lidar Measurement A. Zabukovec et al. https://doi.org/10.1051/epjconf/202023702014
131. Characterization of aerosol episodes in the greater Mediterranean Sea area from satellite observations (2000–2007) A. Gkikas et al. https://doi.org/10.1016/j.atmosenv.2015.11.056
132. Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination S. Zeng et al. https://doi.org/10.5194/amt-12-2261-2019
133. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. https://doi.org/10.5194/acp-19-11743-2019
134. Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study M. Oyola et al. https://doi.org/10.5194/acp-19-205-2019
135. Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. https://doi.org/10.3390/rs16152788
136. On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product S. Shin et al. https://doi.org/10.5194/acp-18-12735-2018
137. Tibetan Plateau Impacts on Global Dust Transport in the Upper Troposphere C. Xu et al. https://doi.org/10.1175/JCLI-D-17-0313.1
138. Aerosol impacts on cloud thermodynamic phase change over East Asia observed with CALIPSO and CloudSat measurements D. Zhang et al. https://doi.org/10.1002/2014JD022630
139. Towards an aerosol classification scheme for future EarthCARE lidar observations and implications for research needs S. Groß et al. https://doi.org/10.1002/asl2.524
140. Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. https://doi.org/10.3390/atmos10090482
141. Spring Dust Mass Flux over the Tibetan Plateau during 2007–19 and Connections with North Atlantic SST Variability C. Xu et al. https://doi.org/10.1175/JCLI-D-19-0481.1
142. Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols L. Liu & M. Mishchenko https://doi.org/10.1016/j.jqsrt.2020.106953
143. Review of airborne oceanic lidar remote sensing W. Chen et al. https://doi.org/10.1007/s44295-023-00007-y
144. Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. https://doi.org/10.1016/j.jqsrt.2020.106932
145. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. https://doi.org/10.5194/acp-18-2687-2018
146. Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. https://doi.org/10.3390/rs12020251
147. An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality Y. Wu et al. https://doi.org/10.1002/2016JD025319
148. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
149. Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China Y. Han et al. https://doi.org/10.1016/j.scitotenv.2015.05.136
150. Optical and microphysical characterization of aerosol layers over South Africa by means of multi-wavelength depolarization and Raman lidar measurements E. Giannakaki et al. https://doi.org/10.5194/acp-16-8109-2016
151. Vertical distribution of aerosols and association with atmospheric boundary layer structures during regional aerosol transport over central China X. Sun et al. https://doi.org/10.1016/j.envpol.2024.124967
152. Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products Y. Wang et al. https://doi.org/10.3390/rs14102342
153. Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. https://doi.org/10.3390/rs12223823
154. Lidar backscattering model for soot aerosols R. Ceolato et al. https://doi.org/10.1016/j.jqsrt.2025.109532
155. Seasonal aerosol variations over a coastal city, Zhoushan, China from CALIPSO observations K. Reddy et al. https://doi.org/10.1016/j.atmosres.2018.11.011
156. Investigating the Long-Term Variation Trends of Absorbing Aerosols over Asia by Using Multiple Satellites D. Li et al. https://doi.org/10.3390/rs14225832
157. Characterization of aerosol composition: Insights from SEM-EDX analysis and CALIPSO overpasses R. Rajan et al. https://doi.org/10.1016/j.asr.2024.07.058
158. Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. https://doi.org/10.5194/acp-17-5893-2017
159. Seasonal changes in black carbon footprint on the Antarctic Peninsula due to rising shipborne tourism and forest fires N. Magalhães et al. https://doi.org/10.1126/sciadv.adp1682
160. Assessing the depolarization capabilities of nonspherical particles in a super-ellipsoidal shape space L. Bi et al. https://doi.org/10.1364/OE.26.001726
161. Study of Persistent Pollution in Hefei during Winter Revealed by Ground-Based LiDAR and the CALIPSO Satellite Z. Fang et al. https://doi.org/10.3390/su13020875
162. Airborne Lidar Observations of a Spring Phytoplankton Bloom in the Western Arctic Ocean J. Churnside et al. https://doi.org/10.3390/rs13132512
163. Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. https://doi.org/10.1002/2017JD026913
164. Dust Monitoring and Three-Dimensional Transport Characteristics of Dust Aerosol in Beijing, Tianjin, and Hebei S. Zhang et al. https://doi.org/10.3390/atmos15101212
165. Looking Into CALIPSO Climatological Products: Evaluation and Suggestions from EARLINET N. Papagiannopoulos et al. https://doi.org/10.1051/epjconf/201611904006
166. Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al. https://doi.org/10.5194/amt-18-6765-2025
167. Optical and Microphysical Properties of Aged Biomass Burning Aerosols and Mixtures, Based on 9-Year Multiwavelength Raman Lidar Observations in Athens, Greece M. Mylonaki et al. https://doi.org/10.3390/rs13193877
168. Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. https://doi.org/10.1002/2016JD025797
169. Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system L. Lei et al. https://doi.org/10.5194/amt-15-2465-2022
170. On the representativeness of the ground-based lidar observations for satellite calibration/validation – the example of the archipelago of Cabo Verde A. Floutsi et al. https://doi.org/10.5194/amt-19-1901-2026
171. Observations and hypotheses related to low to middle free tropospheric aerosol, water vapor and altocumulus cloud layers within convective weather regimes: a SEAC4RS case study J. Reid et al. https://doi.org/10.5194/acp-19-11413-2019
172. Evaluating CALIPSO's 532 nm lidar ratio selection algorithm using AERONET sun photometers in Brazil F. Lopes et al. https://doi.org/10.5194/amt-6-3281-2013
173. Spatio-temporal Characteristics of Atmospheric Pollution and Cause Analysis of Haze Events in Sichuan Basin, China X. Wang et al. https://doi.org/10.1007/s11769-021-1209-5
174. Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. https://doi.org/10.3390/rs16173225
175. Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. https://doi.org/10.1016/j.rse.2018.12.022
176. Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-17-4137-2024
177. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. https://doi.org/10.5194/amt-11-6107-2018
178. Analysis of a warehouse fire smoke plume over Paris with an N2 Raman lidar and an optical thickness matching algorithm X. Shang et al. https://doi.org/10.5194/amt-11-6525-2018
179. Evaluation of CALIOP 532 nm aerosol optical depth over opaque water clouds Z. Liu et al. https://doi.org/10.5194/acp-15-1265-2015
180. Looking through the haze: evaluating the CALIPSO level 2 aerosol optical depth using airborne high spectral resolution lidar data R. Rogers et al. https://doi.org/10.5194/amt-7-4317-2014
181. Linear segmentation algorithm for detecting layer boundary with lidar F. Mao et al. https://doi.org/10.1364/OE.21.026876
182. Multi‐Year CALIPSO Observations of Ubiquitous Elevated Aerosol Layer in the Free Troposphere Over South Asia: Sources and Formation Mechanism G. Kumar et al. https://doi.org/10.1029/2021JD036277
183. Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. https://doi.org/10.1016/j.rse.2021.112619
184. Characterization of vertical distribution and radiative forcing of ambient aerosol over the Yangtze River Delta during 2013–2015 T. Sun et al. https://doi.org/10.1016/j.scitotenv.2018.09.262
185. The potential of elastic and polarization lidars to retrieve extinction profiles E. Giannakaki et al. https://doi.org/10.5194/amt-13-893-2020
186. CALIOP near-real-time backscatter products compared to EARLINET data T. Grigas et al. https://doi.org/10.5194/acp-15-12179-2015
187. Classification and source analysis of low-altitude aerosols in Beijing using fluorescence–Mie polarization lidar Y. Zhang et al. https://doi.org/10.1016/j.optcom.2020.126417
188. Analysis of Dust Aerosol Retrievals Using Satellite Data in Central Asia L. Li & I. Sokolik https://doi.org/10.3390/atmos9080288
189. Aerosol and cloud characteristics during two extreme periods over Kerala J. Priya & V. Krishnakumar https://doi.org/10.1007/s00703-026-01185-0
190. Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART, and CALIPSO and implications for deposition freezing over wintertime Siberia L. Zamora et al. https://doi.org/10.5194/acp-22-12269-2022
191. Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia X. Yang et al. https://doi.org/10.5194/acp-21-3803-2021
192. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. https://doi.org/10.1002/2017JD027643
193. Effect of Spectral Variability of Aerosol Optical Properties on Direct Aerosol Radiative Effect S. Kato et al. https://doi.org/10.3389/frsen.2022.904505