47 citations as recorded by crossref.

1. Determination of Lidar Ratio for Major Aerosol Types over Western North Pacific Based on Long-Term MPLNET Data S. Wang et al. 10.3390/rs12172769
2. Comparison study between nitrate and sulfate aerosols and their coating effect on the scattering properties of mineral aerosol C. Dai et al. 10.1038/s41598-024-71532-x
3. Global aerosol models considering their spatial heterogeneities based on AERONET measurements S. Wang et al. 10.1016/j.atmosres.2024.107521
4. Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. 10.5194/amt-12-3789-2019
5. Properties of Saharan Dust Versus Local Urban Dust—A Case Study D. Szczepanik et al. 10.1029/2021EA001816
6. Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun–sky photometer measurements J. Benavent-Oltra et al. 10.5194/acp-21-9269-2021
7. POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. 10.5194/amt-16-1951-2023
8. A case study on the vertical distribution and characteristics of aerosols using ground-based raman lidar, satellite and model over Western India S. Saha et al. 10.1080/01431161.2021.1938737
9. A Study on the Variation of Aerosol Lidar Ratio according to Aerosol Types on Korea Based on AERONET Sun/Sky Radiometer Data Y. Noh 10.5572/KOSAE.2020.36.1.084
10. Variability in lidar-derived particle properties over West Africa due to changes in absorption: towards an understanding I. Veselovskii et al. 10.5194/acp-20-6563-2020
11. Measuring air pollution from the 2021 Canary Islands volcanic eruption M. Filonchyk et al. 10.1016/j.scitotenv.2022.157827
12. Effect of nitrate coatings on the optical properties of mineral dust particles during the haze aging process X. Zhang et al. 10.1016/j.jqsrt.2021.107966
13. Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis A. Ansmann et al. 10.5194/amt-12-4849-2019
14. Investigations of aerosol types classification and PM2.5 concentrations: A case study of two major cities in Pakistan M. Zeeshan & K. Alam 10.1007/s11869-024-01616-0
15. Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing N. Sharma et al. 10.1016/j.jastp.2024.106366
16. Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. 10.1016/j.atmosenv.2023.119957
17. A Study on the Variation of Aerosol Optical Depth according to Aerosol Types in Northeast Asia using AErONET Sun/Sky radiometer Data Y. Noh 10.5572/KOSAE.2018.34.5.668
18. Optical and geometrical aerosol particle properties over the United Arab Emirates M. Filioglou et al. 10.5194/acp-20-8909-2020
19. Optical and chemical properties of long-range transported aerosols using satellite and ground-based observations over seoul, South Korea G. Choo et al. 10.1016/j.atmosenv.2020.118024
20. Classification of aerosol types using AERONET version 3 data over Kuwait City F. Khademi & A. Bayat 10.1016/j.atmosenv.2021.118716
21. Inversion and analysis of aerosol optical properties and lidar ratios based on sky-radiometer and Raman lidar measurements in Xi’an, China J. Liu et al. 10.3389/fenvs.2022.1039559
22. A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin 10.3390/atmos10030143
23. Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models R. Chipade & M. Pandya 10.5194/amt-16-5443-2023
24. Capability of Superspheroids for Modeling PARASOL Observations Under Dusty‐Sky Conditions W. Lin et al. 10.1029/2020JD033310
25. Lidar Ratio–Depolarization Ratio Relations of Atmospheric Dust Aerosols: The Super‐Spheroid Model and High Spectral Resolution Lidar Observations S. Kong et al. 10.1029/2021JD035629
26. Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data J. Shin et al. 10.3390/rs14184429
27. A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
28. Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. 10.3390/rs12020251
29. Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar H. Wang et al. 10.1016/j.atmosenv.2022.119358
30. A comparison of atmospheric aerosol absorption properties from the MERRA-2 reanalysis with AERONET V. Bakatsoula et al. 10.1016/j.atmosenv.2023.119997
31. Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. 10.3390/rs14061510
32. 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
33. Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions Y. Huang et al. 10.5194/acp-23-2557-2023
34. First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. 10.5194/acp-22-355-2022
35. Aerosol measurements with a shipborne Sun–sky–lunar photometer and collocated multiwavelength Raman polarization lidar over the Atlantic Ocean Z. Yin et al. 10.5194/amt-12-5685-2019
36. 3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)? M. Tesche et al. 10.5194/amt-12-4421-2019
37. Optimal use of the Prede POM sky radiometer for aerosol, water vapor, and ozone retrievals R. Kudo et al. 10.5194/amt-14-3395-2021
38. Spatio-temporal evolution of long-range transported mineral desert dust properties over rural and urban sites in Central Europe D. Szczepanik et al. 10.1016/j.scitotenv.2023.166173
39. Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
40. Complex refractive indices and single-scattering albedo of global dust aerosols in the shortwave spectrum and relationship to size and iron content C. Di Biagio et al. 10.5194/acp-19-15503-2019
41. 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. 10.1016/j.atmosres.2023.107043
42. Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. 10.3390/rs13061114
43. Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio Z. Zhang et al. 10.3390/rs14071554
44. An AERONET-based methodology to retrieve black carbon light absorption and comparison with MERRA-2 data N. Dehkhoda et al. 10.1016/j.apr.2023.101994
45. Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes S. Shin et al. 10.5194/amt-12-607-2019
46. Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia N. Dehkhoda et al. 10.3390/rs12213551
47. Classification of aerosol types in mega-city of Lahore (Pakistan) using ground-based remote sensing M. Khan et al. 10.1007/s11869-024-01511-8