40 citations as recorded by crossref.

1. Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET) Automatic Precipitation Detection Algorithm S. Lolli et al. 10.3390/rs12010071
2. Evaluation of Aerosol Typing with Combination of Remote Sensing Techniques with In Situ Data during the PANACEA Campaigns in Thessaloniki Station, Greece K. Voudouri et al. 10.3390/rs14205076
3. Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. 10.5194/amt-16-6025-2023
4. Deriving Aerosol Absorption Properties from Solar Ultraviolet Radiation Spectral Measurements at Thessaloniki, Greece I. Fountoulakis et al. 10.3390/rs11182179
5. Three-wavelength polarization Scheimpflug lidar system developed for remote sensing of atmospheric aerosols Z. Kong et al. 10.1364/AO.58.008612
6. Numerical investigation on the accuracy of size information of fractal soot aerosols retrieved by lidar: Optical property, morphology effect, and parameterization scheme J. Liu et al. 10.1016/j.jqsrt.2022.108435
7. Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm J. Hofer et al. 10.5194/acp-20-9265-2020
8. Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products Y. Wang et al. 10.3390/rs14102342
9. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station K. Voudouri et al. 10.3390/rs12233969
10. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
11. Does the Intra-Arctic Modification of Long-Range Transported Aerosol Affect the Local Radiative Budget? (A Case Study) K. Nakoudi et al. 10.3390/rs12132112
12. Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment I. Veselovskii et al. 10.5194/amt-13-6691-2020
13. DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
14. Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm K. Ohneiser et al. 10.5194/acp-20-8003-2020
15. PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy S. Pignatti et al. 10.3390/rs14091985
16. Geometrical and Microphysical Properties of Clouds Formed in the Presence of Dust above the Eastern Mediterranean E. Marinou et al. 10.3390/rs13245001
17. Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements T. Liu et al. 10.5194/acp-21-5377-2021
18. Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. 10.5194/acp-21-2211-2021
19. Aerosol particle depolarization ratio at 1565 nm measured with a Halo Doppler lidar V. Vakkari et al. 10.5194/acp-21-5807-2021
20. Classification and source analysis of low-altitude aerosols in Beijing using fluorescence–Mie polarization lidar Y. Zhang et al. 10.1016/j.optcom.2020.126417
21. Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. 10.5194/amt-16-2055-2023
22. Radiative impacts of the Australian bushfires 2019–2020 – Part 2: Large-scale and in-vortex radiative heating P. Sellitto et al. 10.5194/acp-23-15523-2023
23. Characterization of forest fire and Saharan desert dust aerosols over south-western Europe using a multi-wavelength Raman lidar and Sun-photometer V. Salgueiro et al. 10.1016/j.atmosenv.2021.118346
24. Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. 10.3390/atmos10090482
25. Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe M. Mytilinaios et al. 10.5194/acp-23-5487-2023
26. Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust M. Gidarakou et al. 10.3390/atmos15020190
27. Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations B. De Rosa et al. 10.3390/rs14194984
28. HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
29. Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain L. Wang et al. 10.3390/s19143186
30. Optical and geometrical aerosol particle properties over the United Arab Emirates M. Filioglou et al. 10.5194/acp-20-8909-2020
31. Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al. 10.3390/rs12060965
32. Classification of atmospheric aerosols and clouds by use of dual-polarization lidar measurements S. Qi et al. 10.1364/OE.430456
33. Potential of Polarization Lidar to Profile the Urban Aerosol Phase State during Haze Episodes W. Tan et al. 10.1021/acs.estlett.9b00695
34. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
35. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. 10.5194/acp-19-13097-2019
36. Comparison of two automated aerosol typing methods and their application to an EARLINET station K. Voudouri et al. 10.5194/acp-19-10961-2019
37. HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
38. Aerosol Typing Based on Multiwavelength Lidar Observations and Meteorological Model Data M. Mylonaki et al. 10.1051/epjconf/202023708003
39. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. 10.5194/acp-20-10775-2020
40. Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke M. Haarig et al. 10.5194/acp-18-11847-2018