49 citations as recorded by crossref.

1. A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals I. Binietoglou et al. https://doi.org/10.5194/amt-8-3577-2015
2. Variability of Biomass Burning Aerosols Layers and Near Ground J. Vasilescu et al. https://doi.org/10.1051/epjconf/201611924004
3. Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during the July 2012 ChArMEx/EMEP campaign M. Granados-Muñoz et al. https://doi.org/10.5194/acp-16-7043-2016
4. Biomass burning aerosol over Romania using dispersion model and Calipso data V. Nicolae et al. https://doi.org/10.1051/epjconf/201817604012
5. Identification of long-range transport of aerosols over Austria using EARLINET lidar measurements T. Camelia et al. https://doi.org/10.1051/epjconf/201817605053
6. Ground based and airborne atmospheric measurements near bucharest A. Nemuc et al. https://doi.org/10.1051/epjconf/201817608009
7. The KALION Automated Aerosol Type Classification and Mass Concentration Calculation Algorithm H. Yeo et al. https://doi.org/10.7780/kjrs.2016.32.2.5
8. 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. https://doi.org/10.5194/acp-19-13097-2019
9. Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania L. Mărmureanu et al. https://doi.org/10.3390/atmos11040385
10. Aerosol Typing Based on Multiwavelength Lidar Observations and Meteorological Model Data M. Mylonaki et al. https://doi.org/10.1051/epjconf/202023708003
11. Spatiotemporal Variability of Urban Air Pollution in Bucharest City A. Ilie et al. https://doi.org/10.3390/atmos14121759
12. Iberulite fall and formation mechanism during a Sahara dust event in Switzerland in February 2021 B. Grobety et al. https://doi.org/10.5194/ar-4-485-2026
13. Airborne forward-pointing UV Rayleigh lidar for remote clear air turbulence detection: system design and performance P. Vrancken et al. https://doi.org/10.1364/AO.55.009314
14. Soil dust aerosol in the atmosphere: sources, quantities, properties (overview) A. Romanovskaya & I. Savin https://doi.org/10.19047/0136-1694-2021-109-36-95
15. Aerosol Types Identification over the Arabian Peninsula Using AERONET Products: Evaluation with Multisource Datasets M. Assiri https://doi.org/10.1007/s41748-024-00389-x
16. Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. https://doi.org/10.3390/atmos10090482
17. Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer D. Wang et al. https://doi.org/10.1364/OE.393625
18. 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
19. Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. https://doi.org/10.5194/acp-21-2211-2021
20. 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
21. Spatial-temporal characteristics of particulate matters and different formation mechanisms of four typical haze cases in a mountain city H. Lu et al. https://doi.org/10.1016/j.atmosenv.2021.118868
22. Examining the characteristics of aerosols: a statistical analysis based on a decade of lidar and photometer observations at the Eastern border of ACTRIS D. Nicolae et al. https://doi.org/10.5194/amt-19-1179-2026
23. Beam diameter thresholds as applying light depolarization for effective submicron and micron root mean square roughness evaluation L. Liu & K. Nonaka https://doi.org/10.1364/AO.56.007024
24. Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing P. Tian et al. https://doi.org/10.5194/acp-17-2509-2017
25. Investigating the size, shape and surface roughness dependence of polarization lidars with light-scattering computations on real mineral dust particles: Application to dust particles' external mixtures and dust mass concentration retrievals T. Mehri et al. https://doi.org/10.1016/j.atmosres.2017.11.027
26. Exceptional wildfire smoke over Greece in summer 2023: a synergistic study of aerosol optical-microphysical and UVB radiative impacts M. Gidarakou et al. https://doi.org/10.5194/acp-26-4313-2026
27. Experimental techniques for the calibration of lidar depolarization channels in EARLINET L. Belegante et al. https://doi.org/10.5194/amt-11-1119-2018
28. EARLINET Single Calculus Chain – overview on methodology and strategy G. D'Amico et al. https://doi.org/10.5194/amt-8-4891-2015
29. Aerosol Field Influence on the Retrieval of the Ozone Vertical Column Densities from Pandora 2S Measurements A. Dandocsi et al. https://doi.org/10.1051/epjconf/202023703002
30. Study on the Angle and Wavelength Dependent Scattering Signals Characteristics according to the Total Aerosol Mass Concentration Changes Y. Noh et al. https://doi.org/10.5572/KOSAE.2023.39.1.94
31. Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR W. Chen et al. https://doi.org/10.1007/s11769-022-1303-3
32. Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET A. Chaikovsky et al. https://doi.org/10.5194/amt-9-1181-2016
33. EARLINET Single Calculus Chain – technical – Part 1: Pre-processing of raw lidar data G. D'Amico et al. https://doi.org/10.5194/amt-9-491-2016
34. Nocturnal, seasonal and intra-annual variability of tropospheric aerosols observed using ground-based and space-borne lidars over a tropical location of India P. Prasad et al. https://doi.org/10.1016/j.atmosenv.2019.06.008
35. Saharan dust and biomass burning aerosols during ex-hurricane Ophelia: observations from the new UK lidar and sun-photometer network M. Osborne et al. https://doi.org/10.5194/acp-19-3557-2019
36. A compact Raman converter for UV-VIS spectrometers P. Bisson & J. Whitten https://doi.org/10.1063/1.4921235
37. Orange Snow—A Saharan Dust Intrusion over Romania During Winter Conditions L. Mărmureanu et al. https://doi.org/10.3390/rs11212466
38. Enhanced Bottom-of-the-Atmosphere Cooling and Atmosphere Heating Efficiency by Mixed-Type Aerosols: A Classification Based on Aerosol Nonsphericity P. Tian et al. https://doi.org/10.1175/JAS-D-17-0019.1
39. Study of mineral dust entrainment in the planetary boundary layer by lidar depolarisation technique J. Bravo-Aranda et al. https://doi.org/10.3402/tellusb.v67.26180
40. Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover M. Adam et al. https://doi.org/10.3390/rs14194734
41. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. https://doi.org/10.1016/j.earscirev.2023.104634
42. Multiyear Aerosol Study Based on Lidar&Sunphotometer Measurements in Romania A. Nemuc et al. https://doi.org/10.1051/epjconf/201611924001
43. Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting T. Wang et al. https://doi.org/10.3390/rs13061099
44. EARLINET instrument intercomparison campaigns: overview on strategy and results U. Wandinger et al. https://doi.org/10.5194/amt-9-1001-2016
45. Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator J. Bravo-Aranda et al. https://doi.org/10.5194/amt-9-4935-2016
46. About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler https://doi.org/10.5194/amt-9-4181-2016
47. Optical, size and mass properties of mixed type aerosols in Greece and Romania as observed by synergy of lidar and sunphotometers in combination with model simulations: A case study A. Papayannis et al. https://doi.org/10.1016/j.scitotenv.2014.08.101
48. Light depolarization in off-specular reflection on submicro rough metal surfaces with imperfectly random roughness L. Liu et al. https://doi.org/10.1063/1.4908172
49. A neural network aerosol-typing algorithm based on lidar data D. Nicolae et al. https://doi.org/10.5194/acp-18-14511-2018