48 citations as recorded by crossref.

1. Spaceborne LiDAR Systems: Evolution, Capabilities, and Challenges J. Bolcek et al. https://doi.org/10.3390/s25123696
2. The GSFC Lidar Observation and Validation Experiment (GLOVE) field campaign J. Yorks et al. https://doi.org/10.5194/essd-18-3833-2026
3. Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. https://doi.org/10.5194/acp-20-12955-2020
4. Locations for the best lidar view of mid-level and high clouds M. Tesche & V. Noel https://doi.org/10.5194/amt-15-4225-2022
5. 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
6. How atmospheric lidar grew up [Invited] G. Gimmestad https://doi.org/10.1364/AO.588731
7. Diurnal cycles of cloud cover and its vertical distribution over the Tibetan Plateau revealed by satellite observations, reanalysis datasets, and CMIP6 outputs Y. Zhao et al. https://doi.org/10.5194/acp-23-743-2023
8. Detection and Height Measurement of Tenuous Clouds and Blowing Snow in ICESat‐2 ATLAS Data U. Herzfeld et al. https://doi.org/10.1029/2021GL093473
9. Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign N. Midzak et al. https://doi.org/10.3389/frsen.2022.818605
10. Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network S. Sun-Mack et al. https://doi.org/10.5194/amt-17-3323-2024
11. The vertically time-dependent aerosol effect on marine water clouds H. Lu et al. https://doi.org/10.1016/j.jastp.2025.106453
12. Light-Scattering Properties for Aggregates of Atmospheric Ice Crystals within the Physical Optics Approximation D. Timofeev et al. https://doi.org/10.3390/atmos14060933
13. Assessment and Error Analysis of Terra‐MODIS and MISR Cloud‐Top Heights Through Comparison With ISS‐CATS Lidar A. Mitra et al. https://doi.org/10.1029/2020JD034281
14. Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. https://doi.org/10.3390/atmos12050606
15. The diurnal cycle and temperature dependence of crystal shapes in ice clouds from satellite lidar polarized measurements V. Noel et al. https://doi.org/10.5194/acp-26-5603-2026
16. Diurnal vertical distribution and transport of dust aerosol over and around Tibetan Plateau from lidar on International Space Station Z. Xiong et al. https://doi.org/10.1016/j.atmosres.2023.106939
17. Verification of Physical Optics Approximation by the Discrete Dipole Method in Calculations of Light Backscattering K. Salnikov et al. https://doi.org/10.1134/S1024856025701015
18. Sensitivities in Satellite Lidar‐Derived Estimates of Daytime Top‐of‐the‐Atmosphere Optically Thin Cirrus Cloud Radiative Forcing: A Case Study E. Dolinar et al. https://doi.org/10.1029/2020GL088871
19. Spatiotemporal distribution of dust aerosol optical properties from CALIPSO and CATS observations in Xinjiang, China G. Ren et al. https://doi.org/10.1016/j.jastp.2023.106006
20. A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection P. Selmer et al. https://doi.org/10.3390/rs16152735
21. An Investigation of Non‐Spherical Smoke Particles Using CATS Lidar N. Midzak et al. https://doi.org/10.1029/2023JD038805
22. Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data N. Roldán-Henao et al. https://doi.org/10.3390/rs16173252
23. Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. https://doi.org/10.1029/2021GL097006
24. Comparison of ISS–CATS and CALIPSO–CALIOP Characterization of High Clouds in the Tropics P. Sellitto et al. https://doi.org/10.3390/rs12233946
25. Diurnal variations of global clouds observed from the CATS spaceborne lidar and their links to large-scale meteorological factors J. Ge et al. https://doi.org/10.1007/s00382-021-05829-2
26. A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. https://doi.org/10.5194/acp-21-1427-2021
27. High-Extinction-Ratio Electro-Optic Modulator on Thin-Film Lithium Niobate Operating at 1064 nm Z. Su & L. Cai https://doi.org/10.3390/photonics13050505
28. Cloud Chamber Studies on the Linear Depolarisation Ratio of Small Cirrus Ice Crystals A. Hamel et al. https://doi.org/10.5194/acp-26-1277-2026
29. Factors influencing the relationships between hourly visibility and aerosol optical depth in China—implications for hourly aerosol optical depth retrievals using automatic visibility observations N. Shang et al. https://doi.org/10.1016/j.atmosenv.2025.121353
30. Statistics of Smoke Sphericity and Optical Properties Using Spaceborne Lidar Measurements N. Midzak et al. https://doi.org/10.3390/rs17030409
31. ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. https://doi.org/10.5194/amt-18-2021-2025
32. Cloud Occurrence Frequency at Puy de Dôme (France) Deduced from an Automatic Camera Image Analysis: Method, Validation, and Comparisons with Larger Scale Parameters J. Baray et al. https://doi.org/10.3390/atmos10120808
33. Derivation and validation of a refined dust product from Aeolus (L2A+) K. Rizos et al. https://doi.org/10.5194/amt-19-699-2026
34. Development of a compact space-borne Lidar for atmospheric aerosol and cloud detection J. Chen et al. https://doi.org/10.1016/j.atmosenv.2023.119915
35. Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements S. Palm et al. https://doi.org/10.3389/frsen.2021.716951
36. The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. https://doi.org/10.5194/essd-12-2183-2020
37. Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations S. Lei et al. https://doi.org/10.3390/rs15051223
38. 主被动星载大气探测载荷性能对比与分析 王. Wang Jingsong & 刘. Liu Dong https://doi.org/10.3788/AOS231153
39. Using Multitask Machine Learning to Type Clouds and Aerosols from Space-Based Photon-Counting Lidar Measurements C. Fuller et al. https://doi.org/10.3390/rs17162787
40. 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
41. 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. https://doi.org/10.1364/OE.518259
42. Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 Y. Shinozuka et al. https://doi.org/10.5194/acp-20-11491-2020
43. The diurnal cycle of the clouds extending above the tropical tropopause observed by spaceborne lidar T. Dauhut et al. https://doi.org/10.5194/acp-20-3921-2020
44. ICESat‐2 Atmospheric Channel Description, Data Processing and First Results S. Palm et al. https://doi.org/10.1029/2020EA001470
45. Improved Planetary Boundary Layer Sounding Using Hyperspectral Microwave and Backscatter Lidar Data Fusion A. Gambacorta et al. https://doi.org/10.1109/TGRS.2025.3630972
46. A guide to optimised spatiotemporal data co-location by mutual information maximisation A. Martin et al. https://doi.org/10.5194/amt-19-3511-2026
47. Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar M. McGill et al. https://doi.org/10.17159/sajs.2020/6398
48. Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign L. Wang et al. https://doi.org/10.5194/amt-16-4307-2023