159 citations as recorded by crossref.

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3. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. https://doi.org/10.1002/2016JD025592
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6. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. https://doi.org/10.5194/acp-16-177-2016
7. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. https://doi.org/10.1016/j.rse.2020.111759
8. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. https://doi.org/10.5194/amt-11-2257-2018
9. Black Carbon and Brown Carbon and Selective Smoke Aerosol Absorption during Massive Wildfires in Alaska in 2019 and Canada in 2023 G. Gorchakov et al. https://doi.org/10.1134/S1024856025700058
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11. Potential drivers and consequences of regional phosphate depletion in the western subtropical North Pacific Z. Yuan et al. https://doi.org/10.1002/lol2.10314
12. Use of Decision Theory to Predict Dust Storms over New Delhi, India N. Desouza et al. https://doi.org/10.4236/ns.2014.68057
13. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. https://doi.org/10.5194/acp-15-10597-2015
14. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. https://doi.org/10.1029/2019EA000702
15. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. https://doi.org/10.5194/acp-21-357-2021
16. Effect of aerosol vertical distribution on aerosol-radiation interaction: A theoretical prospect A. Mishra et al. https://doi.org/10.1016/j.heliyon.2015.e00036
17. Factors for inconsistent aerosol single scattering albedo between SKYNET and AERONET P. Khatri et al. https://doi.org/10.1002/2015JD023976
18. Terrestrial aerosol retrieval over Beijing from Chinese GF-1 data based on the blue/red correlation. Y. Zhang et al. https://doi.org/10.1080/2150704X.2020.1856959
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23. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. https://doi.org/10.3390/rs14112625
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25. Primary Evaluation of the GCOM-C Aerosol Products at 380 nm Using Ground-Based Sky Radiometer Observations H. Hoque et al. https://doi.org/10.3390/rs12162661
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27. A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm H. Jethva et al. https://doi.org/10.5194/amt-11-5837-2018
28. Investigation on the role of aerosols on precipitation enhancement over Kerala during August 2018 M. Jasmine et al. https://doi.org/10.1016/j.atmosenv.2022.119101
29. Consistency of aerosols above clouds characterization from A-Train active and passive measurements L. Deaconu et al. https://doi.org/10.5194/amt-10-3499-2017
30. Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India M. Gogoi et al. https://doi.org/10.5194/acp-23-8059-2023
31. Simulation and analysis of synoptic scale dust storms over the Arabian Peninsula S. Beegum et al. https://doi.org/10.1016/j.atmosres.2017.09.003
32. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. https://doi.org/10.5194/acp-22-12167-2022
33. Optical and radiative properties of aerosols over Abu Dhabi in the United Arab Emirates S. Beegum et al. https://doi.org/10.1007/s12040-016-0759-x
34. Implications of MODIS impression of aerosol loading over urban and rural settlements in Nigeria: Possible links to energy consumption patterns in the country N. Onyeuwaoma et al. https://doi.org/10.5094/APR.2015.054
35. Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model W. Choi et al. https://doi.org/10.3390/rs13132464
36. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. https://doi.org/10.3390/rs10010137
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43. Planetary boundary layer height from CALIOP compared to radiosonde over China W. Zhang et al. https://doi.org/10.5194/acp-16-9951-2016
44. What factors control the trend of increasing AAOD over the United States in the last decade? L. Zhang et al. https://doi.org/10.1002/2016JD025472
45. Improving Spatial Coverage of Satellite Aerosol Classification Using a Random Forest Model W. Choi et al. https://doi.org/10.3390/rs13071268
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47. First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. https://doi.org/10.1109/TGRS.2020.3044050
48. The COVID-19 lockdown: a unique perspective into heterogeneous impacts of transboundary pollution on snow and ice darkening across the Himalayas Z. Hou et al. https://doi.org/10.1093/pnasnexus/pgad172
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50. Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. https://doi.org/10.5194/amt-12-3269-2019
51. Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. https://doi.org/10.1016/j.scitotenv.2021.148958
52. Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al. https://doi.org/10.5194/acp-24-10543-2024
53. Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations Y. Yu et al. https://doi.org/10.1029/2018GL078324
54. Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data X. Jiang et al. https://doi.org/10.1038/s41612-024-00690-6
55. Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment S. Bibi et al. https://doi.org/10.1016/j.atmosenv.2016.11.052
56. A Climatological Assessment of Intense Desert Dust Episodes over the Broader Mediterranean Basin Based on Satellite Data M. Gavrouzou et al. https://doi.org/10.3390/rs13152895
57. Global changes in aerosol single scattering albedo during COVID-19 K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2024.120649
58. Application of spectral analysis techniques to the intercomparison of aerosol data – Part 4: Synthesized analysis of multisensor satellite and ground-based AOD measurements using combined maximum covariance analysis J. Li et al. https://doi.org/10.5194/amt-7-2531-2014
59. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. https://doi.org/10.1080/10643389.2019.1665944
60. TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. https://doi.org/10.5194/amt-13-6789-2020
61. Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products X. Xi et al. https://doi.org/10.5194/acp-25-7403-2025
62. Dust Aerosol Optical Centroid Height (AOCH) Over Bright Surface: First Retrieval From TROPOMI Oxygen A and B Absorption Bands X. Chen et al. https://doi.org/10.1109/LGRS.2025.3601046
63. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. https://doi.org/10.5194/acp-21-6895-2021
64. Aerosol contamination survey during dust storm process in Northwestern China using ground, satellite observations and atmospheric modeling data M. Filonchyk et al. https://doi.org/10.1007/s00704-017-2362-8
65. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement X. Chen et al. https://doi.org/10.3390/rs9020183
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67. A First Approach to Aerosol Classification Using Space-Borne Measurement Data: Machine Learning-Based Algorithm and Evaluation W. Choi et al. https://doi.org/10.3390/rs13040609
68. Retrieving the height of smoke and dust aerosols by synergistic use of VIIRS, OMPS, and CALIOP observations J. Lee et al. https://doi.org/10.1002/2015JD023567
69. Interpreting the ultraviolet aerosol index observed with the OMI satellite instrument to understand absorption by organic aerosols: implications for atmospheric oxidation and direct radiative effects M. Hammer et al. https://doi.org/10.5194/acp-16-2507-2016
70. On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties V. Arya et al. https://doi.org/10.1007/s12040-020-01526-6
71. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. https://doi.org/10.3390/toxics11100813
72. Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions S. Falah et al. https://doi.org/10.3390/rs14153667
73. Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain K. Vinjamuri et al. https://doi.org/10.1016/j.envpol.2019.113377
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75. Remote sensing of air pollution due to forest fires and dust storm over Balochistan (Pakistan) S. Tariq et al. https://doi.org/10.1016/j.apr.2023.101674
76. Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis V. Buchard et al. https://doi.org/10.5194/acp-15-5743-2015
77. Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager S. Go et al. https://doi.org/10.3390/rs9040378
78. Solar UV Irradiance in a Changing Climate: Trends in Europe and the Significance of Spectral Monitoring in Italy I. Fountoulakis et al. https://doi.org/10.3390/environments7010001
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80. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals Y. Shi et al. https://doi.org/10.5194/acp-19-259-2019
81. Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF-Chem simulation with multiple observations Z. Hu et al. https://doi.org/10.5194/gmd-9-1725-2016
82. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. https://doi.org/10.5194/amt-13-755-2020
83. Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements A. Mhawish et al. https://doi.org/10.1016/j.rse.2022.113167
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85. Análise da Espessura ótica dos Aerossóis do Sensor OMI na America do Sul P. Calado et al. https://doi.org/10.1590/0102-77863550105
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89. GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia M. Choi et al. https://doi.org/10.5194/amt-11-385-2018
90. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. https://doi.org/10.5194/acp-19-14585-2019
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101. Identification of NO2 and SO2 Pollution Hotspots and Sources in Jiangsu Province of China Y. Wang et al. https://doi.org/10.3390/rs13183742
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108. Biomass Burning Over the United States East Coast and Western North Atlantic Ocean: Implications for Clouds and Air Quality A. Mardi et al. https://doi.org/10.1029/2021JD034916
109. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. https://doi.org/10.5194/acp-20-2031-2020
110. Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments V. Kayetha et al. https://doi.org/10.5194/amt-15-845-2022
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114. Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products P. Colarco et al. https://doi.org/10.5194/amt-10-4121-2017
115. The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation S. Callewaert et al. https://doi.org/10.5194/amt-12-3673-2019
116. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. https://doi.org/10.5194/acp-18-14889-2018
117. Sensitivity of formaldehyde (HCHO) column measurements from a geostationary satellite to temporal variation of the air mass factor in East Asia H. Kwon et al. https://doi.org/10.5194/acp-17-4673-2017
118. Generation of Hypothetical Radiances for Missing Green and Red Bands in Geostationary Environment Monitoring Spectrometer H. Ryu et al. https://doi.org/10.1109/JSTARS.2023.3280905
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122. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. https://doi.org/10.1016/j.rse.2021.112617
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126. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. https://doi.org/10.5194/acp-18-12551-2018
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132. Radiative effect of dust aerosols on cloud microphysics and meso-scale dynamics during monsoon breaks over Arabian sea G. Harikishan et al. https://doi.org/10.1016/j.atmosenv.2015.01.037
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134. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.645794
135. Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea J. Mok et al. https://doi.org/10.5194/amt-11-2295-2018
136. Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. https://doi.org/10.3390/atmos12050606
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