88 citations as recorded by crossref.

1. A one-parameter family of clear-sky solar irradiance models adapted for different aerosol types R. Blaga et al. 10.1063/5.0038619
2. Variability of Major Aerosol Types in China Classified Using AERONET Measurements L. Zhang & J. Li 10.3390/rs11202334
3. In situ optical and microphysical properties of tropospheric aerosols in the Canadian High Arctic from 2016 to 2019 A. Vicente-Luis et al. 10.1016/j.atmosenv.2021.118254
4. Estimates of mass absorption cross sections of black carbon for filter-based absorption photometers in the Arctic S. Ohata et al. 10.5194/amt-14-6723-2021
5. Black Carbon Aerosol in Rome (Italy): Inference of a Long-Term (2001–2017) Record and Related Trends from AERONET Sun-Photometry Data A. Di Ianni et al. 10.3390/atmos9030081
6. Overview of the NOAA/ESRL Federated Aerosol Network E. Andrews et al. 10.1175/BAMS-D-17-0175.1
7. Impact of biogenic emissions of organic matter from a cool-temperate forest on aerosol optical properties A. Müller et al. 10.1016/j.atmosenv.2020.117413
8. Classification of aerosols over Saudi Arabia from 2004–2016 M. Ali et al. 10.1016/j.atmosenv.2020.117785
9. Polarization Measurements and Evaluation Based on Multidimensional Polarization Indices Applied in Analyzing Atmospheric Particulates R. Liao et al. 10.3390/app11135992
10. In situ identification of aerosol types in Athens, Greece, based on long-term optical and on online chemical characterization D. Kaskaoutis et al. 10.1016/j.atmosenv.2020.118070
11. Combination of PM optical and chemical properties to estimate the contribution of non-BC absorbers to light absorption at a remote site A. López-Caravaca et al. 10.1016/j.atmosres.2021.106000
12. Aerosol characteristics and types in the marine environments surrounding the East Mediterranean - Middle East (EMME) region during the AQABA campaign D. Kaskaoutis et al. 10.1016/j.atmosenv.2023.119633
13. Classifying aerosol type using in situ and satellite observations over a semi-arid station, Anantapur, from southern peninsular India S. Vadde et al. 10.1016/j.asr.2023.03.046
14. Analysis of Aerosol Types and Vertical Distribution in Seven Typical Cities in East Asia Q. Tang et al. 10.3390/atmos15020195
15. Improvements on Gaussian mixture model and its application in identifying aerosol types in two major cities in the Yangtze River Delta, China J. Wang et al. 10.1016/j.scitotenv.2024.172743
16. Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al. 10.1109/TGRS.2021.3138085
17. Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. 10.1016/j.atmosenv.2020.117959
18. Seasonal dynamics of airborne biomolecules influence the size distribution of Arctic aerosols E. Jang et al. 10.1016/j.ese.2024.100458
19. Intensive optical parameters of pollution sources identified by the positive matrix factorization technique S. Romano et al. 10.1016/j.atmosres.2020.105029
20. Multidecadal trend analysis of in situ aerosol radiative properties around the world M. Collaud Coen et al. 10.5194/acp-20-8867-2020
21. Multiple scattering correction factor estimation for aethalometer aerosol absorption coefficient measurement J. Kim et al. 10.1080/02786826.2018.1555368
22. Contribution of black carbon and desert dust to aerosol absorption in the atmosphere of the Eastern Arabian Peninsula M. Mahfouz et al. 10.1016/j.atmosenv.2024.120427
23. New insights from seasonal and weekly evolutions of aerosol absorption properties and their association with PM2.5 and NO2 concentrations at a central Mediterranean site D. Peccarrisi et al. 10.1016/j.apr.2024.102131
24. The Impact of Intense Winter Saharan Dust Events on PM and Optical Properties at Urban Sites in the Southeast of the Iberian Peninsula A. López-Caravaca et al. 10.3390/atmos12111469
25. Continuous light absorption photometer for long-term studies J. Ogren et al. 10.5194/amt-10-4805-2017
26. Development of a new correction algorithm applicable to any filter-based absorption photometer H. Li et al. 10.5194/amt-13-2865-2020
27. Aerosol classification in Europe, Middle East, North Africa and Arabian Peninsula based on AERONET Version 3 S. Logothetis et al. 10.1016/j.atmosres.2020.104893
28. A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
29. Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets C. Huang et al. 10.3390/rs13163116
30. Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics K. Li et al. 10.1016/j.isprsjprs.2022.09.001
31. Aerosol optical properties at seven AERONET sites over Middle East and Eastern Mediterranean Sea X. Xu et al. 10.1016/j.atmosenv.2020.117884
32. Towards a Multi-Instrumental Approach to Closing Aerosol Optical Extinction Profiles A. Szkop et al. 10.3390/atmos13091443
33. Impact of Types of Aerosol and Meteorological Conditions on Rain Rate Over India V. Raj et al. 10.1007/s00024-023-03393-w
34. Characterization of Polycyclic Aromatic Hydrocarbons (PAHs) associated with fine aerosols in ambient atmosphere of high-altitude urban environment in Sikkim Himalaya K. Sharma et al. 10.1016/j.scitotenv.2023.161987
35. Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Q. Chen et al. 10.3390/atmos11070703
36. Characteristics of Asian Dust Observed over the Yellow Sea during YES-AQ Campaign in March, 2021 based on Vessel and Aircraft Measurement J. Kim et al. 10.5572/KOSAE.2022.38.4.557
37. Long-term observation of columnar aerosol optical properties over the remote South China Sea S. Pani et al. 10.1016/j.scitotenv.2023.167113
38. Evaluation and comparison of VIIRS dark target and deep blue aerosol products over land Q. Wang et al. 10.1016/j.scitotenv.2023.161667
39. Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign S. Lee et al. 10.1016/j.atmosenv.2019.02.020
40. Comparison of two automated aerosol typing methods and their application to an EARLINET station K. Voudouri et al. 10.5194/acp-19-10961-2019
41. Contemporary sources dominate carbonaceous aerosol on the North Slope of Alaska C. Moffett et al. 10.1016/j.scitotenv.2022.154641
42. Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne F. Navas-Guzmán et al. 10.5194/acp-19-11651-2019
43. 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
44. Identification of key aerosol types and mixing states in the central Indian Himalayas during the GVAX campaign: the role of particle size in aerosol classification U. Dumka et al. 10.1016/j.scitotenv.2020.143188
45. From a polar to a marine environment: has the changing Arctic led to a shift in aerosol light scattering properties? D. Heslin-Rees et al. 10.5194/acp-20-13671-2020
46. Analysis of Long-Term Aerosol Optical Properties Combining AERONET Sunphotometer and Satellite-Based Observations in Hong Kong X. Yu et al. 10.3390/rs14205220
47. Climatology of aerosol properties at an atmospheric monitoring site on the northern California coast E. Boedicker et al. 10.5194/acp-23-9525-2023
48. The Solar Radiation Climate of Greece H. Kambezidis 10.3390/cli9120183
49. Global Gridded Aerosol Models Established for Atmospheric Correction Over Inland and Nearshore Coastal Waters D. Zhao et al. 10.1029/2023JD038815
50. A comparative time series analysis and modeling of aerosols in the contiguous United States and China X. Li et al. 10.1016/j.scitotenv.2019.07.072
51. An Exploratory Approach Using Regression and Machine Learning in the Analysis of Mass Absorption Cross Section of Black Carbon Aerosols: Model Development and Evaluation H. Li & A. May 10.3390/atmos11111185
52. Long-Term Variation of Aerosol Optical Properties Associated with Aerosol Types Over East Asia Using Aeronet and Satellite (Viirs, Omi) Data S. Eom et al. 10.2139/ssrn.4155134
53. Verification of aerosol classification methods through satellite and ground-based measurements over Harbin, Northeast China Q. Chen et al. 10.1016/j.atmosres.2018.09.022
54. Aerosol mass scattering efficiencies and single scattering albedo under high mass loading in Chiang Mai valley, Thailand S. Pani et al. 10.1016/j.atmosenv.2023.119867
55. Optical and microphysical properties of the columnar Aerosol burden over the Eastern Mediterranean: Discrimination of Aerosol types E. Tutsak & M. Koçak 10.1016/j.atmosenv.2020.117463
56. Comparison of Aerosol Properties in the Korean Peninsula Between AERONET Version 2 and 3 Data Set J. Lee et al. 10.1007/s13143-020-00221-2
57. Classification of MODIS fire emission data based on aerosol absorption Angstrom exponent retrieved from AERONET data S. Ningombam et al. 10.1016/j.scitotenv.2022.159898
58. Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019) S. Eom et al. 10.1016/j.atmosres.2022.106457
59. Aerosol properties, trends and classification of key types over the Middle East from satellite-derived atmospheric optical data S. Sabetghadam et al. 10.1016/j.atmosenv.2020.118100
60. Comparison of Physical, Optical, and Chemical Properties of Aerosols from Asian Dust and Haze Episodes Observed at Anmyeon-do in 2018~2021 M. Jeong et al. 10.5572/KOSAE.2024.40.2.171
61. Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. 10.3390/rs13061114
62. Mass absorption cross section of black carbon for Aethalometer in the Arctic M. Singh et al. 10.1080/02786826.2024.2316173
63. Retrieval of aerosol components directly from satellite and ground-based measurements L. Li et al. 10.5194/acp-19-13409-2019
64. Measurements of the Optical Scattering Properties of Single Suspended Particles and Implications for Atmospheric Studies: A Review W. Yao et al. 10.1007/s40726-024-00323-9
65. Satellite-Based Background Aerosol Optical Depth Determination via Global Statistical Analysis of Multiple Lognormal Distribution Q. Chen et al. 10.3390/rs16071210
66. Size-segregated aerosols over a high altitude Himalayan and a tropical urban metropolis in Eastern India: Chemical characterization, light absorption, role of meteorology and long range transport A. Ghosh et al. 10.1016/j.atmosenv.2021.118398
67. Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model W. Choi et al. 10.3390/rs13132464
68. Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019) A. Mhawish et al. 10.1016/j.rse.2021.112410
69. Evaluation of aerosol- and gas-phase tracers for identification of transported biomass burning emissions in an industrially influenced location in Texas, USA S. Shrestha et al. 10.5194/acp-23-10845-2023
70. Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems X. Deng et al. 10.1364/OE.524152
71. Investigation of aerosol–cloud interactions under different absorptive aerosol regimes using Atmospheric Radiation Measurement (ARM) southern Great Plains (SGP) ground-based measurements X. Zheng et al. 10.5194/acp-20-3483-2020
72. Climatological study for understanding the aerosol radiative effects at southwest Atlantic coast of Europe M. Sorribas et al. 10.1016/j.atmosenv.2019.02.017
73. An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
74. Comprehensive investigation of the atmospheric Modulation Transfer Function (MTF) for satellite imaging payloads: considering turbulence and aerosol effects over Tehran H. Hosseini & M. Khoshsima 10.1088/1402-4896/ad5518
75. Uncertainties Assessment of Regional Aerosol Classification Schemes in South America A. Scagliotti et al. 10.1007/s41748-024-00423-y
76. A Factor and Trends Analysis of Multidecadal Lower Tropospheric Observations of Arctic Aerosol Composition, Black Carbon, Ozone, and Mercury at Alert, Canada S. Sharma et al. 10.1029/2019JD030844
77. Long-term (2008–2018) aerosol properties and radiative effect at high-altitude sites over western trans-Himalayas U. Dumka et al. 10.1016/j.scitotenv.2020.139354
78. Seasonal Tropospheric Aerosol Classification Using AERONET Spectral Absorption Properties in African Locations S. Aladodo et al. 10.1007/s41810-022-00140-x
79. Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al. 10.1016/j.chemosphere.2024.141119
80. Role of sulphate and carbonaceous aerosols on the radiative effects of aerosols over a remote high-altitude site Lachung in the Eastern Himalayas B. Arun et al. 10.1016/j.atmosres.2021.105799
81. Effect of aerosol types from various sources at an urban location on spectral curvature of scattering and absorption coefficients D. Kaskaoutis et al. 10.1016/j.atmosres.2021.105865
82. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
83. Investigation of Two Optical Methods for Aerosol‐Type Classification Extended to a Northern Indian Ocean Site F. Höpner et al. 10.1029/2018JD029685
84. Classifying aerosol particles through the combination of optical and physical-chemical properties: Results from a wintertime campaign in Rome (Italy) S. Valentini et al. 10.1016/j.atmosres.2019.104799
85. Assessment of the COVID-19 Lockdown Effects on Spectral Aerosol Scattering and Absorption Properties in Athens, Greece D. Kaskaoutis et al. 10.3390/atmos12020231
86. Aerosol classification using fuzzy clustering over a tropical rural site A. Krishnaveni et al. 10.1016/j.atmosres.2022.106518
87. Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. 10.1016/j.atmosres.2024.107523
88. Optical properties of PM2.5 particles: Results from a monitoring campaign in southeastern Italy S. Romano et al. 10.1016/j.atmosenv.2019.01.037