322 citations as recorded by crossref.

1. Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. https://doi.org/10.5194/acp-23-8623-2023
2. Aerosol models from the AERONET database: application to surface reflectance validation J. Roger et al. https://doi.org/10.5194/amt-15-1123-2022
3. Scattering and absorbing aerosols in the climate system J. Li et al. https://doi.org/10.1038/s43017-022-00296-7
4. Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.748362
5. Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. https://doi.org/10.1016/j.rse.2021.112717
6. Enhanced Aerosol Radiative Forcing in the Arctic Region from 2000 to 2022 K. Lee & K. Lee https://doi.org/10.5572/KOSAE.2023.39.6.1062
7. 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
8. Ground-based ultraviolet polarimetry for imaging the Babinet polarization neutral point C. DeLeon & M. Kupinski https://doi.org/10.1007/s10043-025-00958-z
9. Observations suggest that North African dust absorbs less solar radiation than models estimate A. Adebiyi et al. https://doi.org/10.1038/s43247-023-00825-2
10. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. https://doi.org/10.5194/essd-12-3573-2020
11. Aerosol variability over oceans using micro-pulse lidar and photometer: insights from TRANSAMA ship-based campaign M. Sanchez-Barrero et al. https://doi.org/10.5194/amt-19-507-2026
12. Reflectance Consistency Between MERSI-II and MODIS in Northeast China Under Varying Conditions R. Xie et al. https://doi.org/10.1109/JSTARS.2026.3673349
13. A physical knowledge-based machine learning method for near-real-time dust aerosol properties retrieval from the Himawari-8 satellite data J. Li et al. https://doi.org/10.1016/j.atmosenv.2022.119098
14. Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. https://doi.org/10.3390/rs13122319
15. Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al. https://doi.org/10.3390/rs14071693
16. Aerosol optical depth over Northeastern Brazil: A multi-platform intercomparison study G. Münchow et al. https://doi.org/10.1016/j.atmosres.2024.107864
17. A global aerosol model based on the analysis of 30-year ground measurements from AERONET (AEROEX model): Implications for satellite-derived aerosol retrievals M. Mishra et al. https://doi.org/10.1016/j.scitotenv.2025.180301
18. Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
19. Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al. https://doi.org/10.5194/gmd-18-6479-2025
20. Spring 2020 Atmospheric Aerosol Contamination over Kyiv City C. Zhang et al. https://doi.org/10.3390/atmos13050687
21. Development of Level 2 aerosol and surface products from cross-track scanning polarimeter POSP on board the GF-5(02) satellite C. Chen et al. https://doi.org/10.5194/essd-17-3497-2025
22. Improved simulations of biomass burning aerosol optical properties and lifetimes in the NASA GEOS Model during the ORACLES-I campaign S. Das et al. https://doi.org/10.5194/acp-24-4421-2024
23. The SMART-P Algorithm for Aerosol and Ocean Properties Part 1: Algorithm Theoretical Basis and Expected Accuracy of PolCube Aerosol Products S. Lee et al. https://doi.org/10.3390/rs18040560
24. High-Spectral-Resolution Retrieval of Ultraviolet and Visible Aerosol Optical Depth Using the Pandora Spectrometer S. Kim et al. https://doi.org/10.3390/rs18183088
25. Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. https://doi.org/10.1016/j.rse.2023.113982
26. 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. https://doi.org/10.1016/j.atmosres.2022.106457
27. Dust radiative effects and impact on energy production over the Mediterranean Basin D. Kouklaki et al. https://doi.org/10.5194/amt-19-5633-2026
28. Retrieval of global aerosol and surface properties from the Gaofen-5 Directional Polarimetric Camera measurements Z. Zhang et al. https://doi.org/10.5194/amt-19-2555-2026
29. Long range transport of Canadian wildfire smoke to Europe in 2023: aerosol properties and spectral features of smoke particles A. Masoom et al. https://doi.org/10.5194/acp-26-10801-2026
30. Global evaluation and uncertainty analysis of MODIS Deep Blue and MAIAC aerosol products over bright surfaces P. Zhang et al. https://doi.org/10.1016/j.atmosenv.2026.121991
31. A 25-year analysis of aerosol optical depth dynamics over Nigeria (2000–2024): spatial-temporal dynamics, seasonal regimes, and extreme event characterization E. Ekpe et al. https://doi.org/10.1007/s11869-026-02111-4
32. First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. https://doi.org/10.5194/acp-22-355-2022
33. The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager J. Czapla-Myers et al. https://doi.org/10.3390/rs16061101
34. Aerosol Optical Properties of Extreme Global Wildfires and Estimated Radiative Forcing With GCOM‐C SGLI K. Tanada et al. https://doi.org/10.1029/2022JD037914
35. Aerosol and ocean color retrievals from FastMAPOL/component algorithm using NASA’s PACE polarimetric measurements K. Aryal et al. https://doi.org/10.1364/OE.607432
36. Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. https://doi.org/10.1016/j.atmosenv.2023.119957
37. Retrieval of aerosol properties from zenith sky radiance measurements S. Herrero-Anta et al. https://doi.org/10.5194/amt-16-4423-2023
38. Anomalous Selective Absorption of Smoke Aerosol during Forest Fires in Alaska in July–August 2019 G. Gorchakov et al. https://doi.org/10.1134/S000143382306004X
39. Improving Spatial Coverage of Satellite Aerosol Classification Using a Random Forest Model W. Choi et al. https://doi.org/10.3390/rs13071268
40. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. https://doi.org/10.5194/gmd-17-795-2024
41. Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region U. Dumka et al. https://doi.org/10.3390/rs13163248
42. Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models Y. Chang et al. https://doi.org/10.5194/acp-25-6787-2025
43. Global Accuracy, Stability, and Consistency Assessment and Usage Recommendations of POLDER/PARASOL GRASP Aerosol Products X. Ma et al. https://doi.org/10.3390/rs18101633
44. Aerosol pollution across the Indo-Gangetic plain and the Himalayas: Seasonal patterns and implications for air quality and climate S. Ramachandran & M. Rupakheti https://doi.org/10.1007/s11869-026-01897-7
45. Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018 E. Kassianov et al. https://doi.org/10.1038/s41597-021-00866-2
46. Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) C. Warneke et al. https://doi.org/10.1029/2022JD037758
47. Lognormal mode dissociation method based on intrinsic characteristics of aerosol size distribution S. Chen et al. https://doi.org/10.1364/OE.531268
48. What caused record-breaking aerosol loading over the South China Sea in April 2023 S. Ravindra Babu & N. Lin https://doi.org/10.5194/acp-26-8961-2026
49. Data Processing and Quality Control of the CW193 Sun Photometer Network and Evaluation of Satellite Aerosol Products M. Song et al. https://doi.org/10.3390/rs18183225
50. Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India P. Khatri et al. https://doi.org/10.1186/s40645-025-00685-8
51. Spectral Aerosol Radiative Forcing and Efficiency of the La Palma Volcanic Plume over the Izaña Observatory R. García et al. https://doi.org/10.3390/rs15010173
52. Spectral calibration method of the field spectrometer using combined solar Fraunhofer lines and atmospheric absorption characteristics: case study at the Baotou RadCalNet site and implications for reflectance measurement Y. Zhao et al. https://doi.org/10.1364/AO.544936
53. Optical and physical characteristics of aerosols over Asia: AERONET, MERRA-2 and CAMS K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2024.120470
54. Fallowed agricultural lands dominate anthropogenic dust sources in California A. Adebiyi et al. https://doi.org/10.1038/s43247-025-02306-0
55. Observationally constrained regional variations of shortwave absorption by iron oxides emphasize the cooling effect of dust V. Obiso et al. https://doi.org/10.5194/acp-24-5337-2024
56. Spatiotemporal patterns of aerosol optical depth and PM2.5 concentrations derived from multi-source remote sensing Q. Mao & S. Liu https://doi.org/10.1016/j.jastp.2025.106689
57. A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method M. Tao et al. https://doi.org/10.1016/j.rse.2023.113763
58. Deep neural networks reveal organic pollutants’ dominance in global inflammatory bowel disease I. Khan et al. https://doi.org/10.1016/j.jes.2025.04.058
59. Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? D. Carrer et al. https://doi.org/10.3390/rs13163072
60. An ensemble machine learning method to retrieve aerosol parameters from ground-based Sun-sky photometer measurements Q. Li et al. https://doi.org/10.5194/amt-19-2507-2026
61. Aerosol characterisation based on EPS-SG/3MI – Preflight demonstration and extensive validation using PARASOL/POLDER-3 S. Jafariserajehlou et al. https://doi.org/10.1016/j.jqsrt.2026.110149
62. Comparison of the Performance of the GRASP and MERRA2 Models in Reproducing Tropospheric Aerosol Layers A. Fernandes et al. https://doi.org/10.3390/atmos14091409
63. 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
64. Employing relaxed smoothness constraints on imaginary part of refractive index in AERONET aerosol retrieval algorithm A. Sinyuk et al. https://doi.org/10.5194/amt-15-4135-2022
65. Inversion of Aerosol Particle Size Distribution Using an Improved Stochastic Particle Swarm Optimization Algorithm X. Nie & Q. Mao https://doi.org/10.3390/rs14164085
66. Increased aerosols can reverse Twomey effect in water clouds through radiative pathway P. Khatri et al. https://doi.org/10.1038/s41598-022-25241-y
67. Atmospheric aerosol size distribution impacts radiative effects over the Himalayas via modulating aerosol single-scattering albedo P. Tian et al. https://doi.org/10.1038/s41612-023-00368-5
68. Impact of Chemical Composition on Aerosol Scattering: Insights from the Surface Particulate Matter Network and Aerosol Robotic Network S. Eom et al. https://doi.org/10.1021/acs.est.5c09325
69. Remote sensing of aerosols over drylands: Challenges, uncertainties, and paths forward C. Chen et al. https://doi.org/10.1126/sciadv.aec4247
70. Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals A. Kumar & M. Mehta https://doi.org/10.1080/01431161.2024.2421947
71. Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. https://doi.org/10.1016/j.apenergy.2025.126062
72. Adaptation of the CIMEL-318T to shipborne use: 3 years of automated AERONET-compatible aerosol measurements on board the research vessel Marion Dufresne B. Torres et al. https://doi.org/10.5194/amt-18-4809-2025
73. Simultaneous retrieval of aerosol optical depth, spectral absorption and layer height from DSCOVR EPIC using MAIAC algorithm A. Lyapustin et al. https://doi.org/10.3389/frsen.2025.1677438
74. Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. https://doi.org/10.5194/amt-16-6051-2023
75. Implications of dust minerals on radiative transfer at regional scale, using the METAL-WRF model C. Spyrou et al. https://doi.org/10.5194/amt-18-7717-2025
76. Dust aerosol properties and radiative effects over the global oceans from synergistic spaceborne observations and modeling D. Li et al. https://doi.org/10.1016/j.rse.2026.115745
77. A Regional Aerosol Model for the Oceanic Area around Eastern China Based on Aerosol Robotic Network (AERONET) S. Chen et al. https://doi.org/10.3390/rs16061106
78. Optical and chemical properties of long-range transported aerosols using satellite and ground-based observations over seoul, South Korea G. Choo et al. https://doi.org/10.1016/j.atmosenv.2020.118024
79. Simulation and evaluation study of atmospheric aerosol nonsphericity as a function of particle size Q. Mao & X. Nie https://doi.org/10.1016/j.partic.2023.12.013
80. Influence of changes in anthropogenic and natural sources on global aerosol optical depth during COVID-19 lockdown: Ground-based observations, satellites, models S. Ramachandran & K. Ansari https://doi.org/10.1016/j.atmosenv.2024.120948
81. Rapid, accurate computation of narrow-band sky radiance in the 940 nm gas absorption region using the correlated k-distribution method for sun-photometer observations M. Momoi et al. https://doi.org/10.1186/s40645-022-00467-6
82. EPISODES OF VARIABILITY OF THE AEROSOL PARTICLES CONTENT AND PROPERTIES IN THE ATMOSPHERE OVER KYIV IN 2022 V. DANYLEVSKY https://doi.org/10.17721/BTSNUA.2025.71.5-14
83. Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation M. Herrera et al. https://doi.org/10.5194/amt-15-6075-2022
84. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. https://doi.org/10.5194/acp-24-6275-2024
85. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. https://doi.org/10.5194/amt-14-309-2021
86. 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
87. Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments L. Di Antonio et al. https://doi.org/10.5194/acp-23-12455-2023
88. Intensity-resolved classification of forest fire smoke via fused satellite and ground-based optical climatology Y. Ma et al. https://doi.org/10.1016/j.envres.2026.124710
89. Retrieval of aerosol properties using relative radiance measurements from an all-sky camera R. Román et al. https://doi.org/10.5194/amt-15-407-2022
90. A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode J. Reid et al. https://doi.org/10.3390/rs14132978
91. Long-term observation of columnar aerosol optical properties over the remote South China Sea S. Pani et al. https://doi.org/10.1016/j.scitotenv.2023.167113
92. Suitability of a group of spheroids with a lognormal shape distribution for modeling the scattering and polarimetric properties of irregular particles J. Luo et al. https://doi.org/10.1016/j.jqsrt.2025.109732
93. Aerosol Optical and Microphysical Characteristics Related to Vertical Distribution over Korea Using Aerosol Scale Height C. Kim et al. https://doi.org/10.3390/rs18213640
94. Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. https://doi.org/10.1080/17538947.2024.2344580
95. Temperature correction method and verification of the CW193 sun–sky photometer J. Zhu et al. https://doi.org/10.1364/OE.535213
96. Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data M. Cazorla et al. https://doi.org/10.1038/s41598-024-51247-9
97. MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. https://doi.org/10.5194/amt-17-471-2024
98. Volume-to-extinction ratio: an important property of dust A. Papetta et al. https://doi.org/10.5194/acp-26-2055-2026
99. ATMOSPHERIC AEROSOL OBSERVATION DATA AT KYIV AERONET SITE: CONTRIBUTION TO THE ACME PROJECT V. DANYLEVSKY et al. https://doi.org/10.17721/BTSNUA.2025.72.58-66
100. Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data S. Mukhopadhyay et al. https://doi.org/10.1016/j.atmosenv.2025.121530
101. Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar S. Wang et al. https://doi.org/10.3390/rs17162829
102. Enhanced radiative cooling by large aerosol particles from wildfire-driven thunderstorms Y. Li et al. https://doi.org/10.1126/sciadv.adw6526
103. Processing and Accuracy Assessment of MICROTOPS II Atmospheric Measurements for Absolute Radiometric Calibration of Optical Satellite Imagery J. Choi et al. https://doi.org/10.7780/kjrs.2026.42.2.2
104. Subseasonal and spatial variability of biomass burning aerosol radiative properties observed over the Southeast Atlantic during ORACLES 2016–2018 L. Mitchell et al. https://doi.org/10.5194/acp-26-13083-2026
105. Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. https://doi.org/10.1029/2020JD033651
106. Coupled Dynamics of Aerosols and Greenhouse Gases at the Socheongcho Ocean Research Station During High-Concentration Episodes S. Ahn et al. https://doi.org/10.3390/rs18050816
107. Event-specific Dust-to-Power screening of aerosol dimming and potential soiling-monitoring priorities for northern China photovoltaics Z. Xu et al. https://doi.org/10.1038/s44406-026-00051-7
108. Improved constraints on hematite refractive index for estimating climatic effects of dust aerosols L. Li et al. https://doi.org/10.1038/s43247-024-01441-4
109. Synergetic retrieval from multi-mission spaceborne measurements for enhanced aerosol and surface characterization P. Litvinov et al. https://doi.org/10.5194/amt-18-7679-2025
110. Seasonal comparisons of GEOS-Chem-TOMAS (GCT) simulations with AERONET-inversion retrievals over sites in the North American and European Arctic Y. AboEl-Fetouh et al. https://doi.org/10.1016/j.atmosenv.2021.118852
111. A deep learning-based imputation method for missing gaps in satellite aerosol products by fusing numerical model data N. Liu et al. https://doi.org/10.1016/j.atmosenv.2024.120440
112. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities P. Litvinov et al. https://doi.org/10.1016/j.rse.2024.114355
113. Features of the Extreme Fire Season of 2021 in Yakutia (Eastern Siberia) and Heavy Air Pollution Caused by Biomass Burning O. Tomshin & V. Solovyev https://doi.org/10.3390/rs14194980
114. Global insights on absorption characteristics of aerosols K. Ansari & S. Ramachandran https://doi.org/10.1016/j.scitotenv.2024.178178
115. A comparison of atmospheric aerosol absorption properties from the MERRA-2 reanalysis with AERONET V. Bakatsoula et al. https://doi.org/10.1016/j.atmosenv.2023.119997
116. Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano A. Bedoya-Velásquez et al. https://doi.org/10.3390/rs14225680
117. Weather specific evaluation of satellite retrieved aerosol optical depth over drylands of the Southwest United States H. Dhaliwal & S. Pal https://doi.org/10.1016/j.atmosres.2026.108932
118. MATCHA, a novel regional hydroclimate-chemical reanalysis: System description and evaluation C. Roychoudhury et al. https://doi.org/10.5194/essd-18-5209-2026
119. Emission-Intensity-Driven Evolution of Black Carbon Microphysics in Wildfire Smoke Revealed by Multiwavelength Remote Sensing J. Luo et al. https://doi.org/10.1109/TGRS.2026.3697773
120. Constraining the vertical profiles of aerosol component and heating rate over east Asia through assimilating CALIOP observations Y. Cheng et al. https://doi.org/10.5194/acp-26-14671-2026
121. Error characterization and analysis of aerosol products from the geostationary environment monitoring spectrometer (GEMS) G. Du et al. https://doi.org/10.1016/j.atmosres.2025.108682
122. Extended POLIPHON dust conversion factor dataset for lidar-derived cloud condensation nuclei and ice-nucleating particle concentration profiles Y. He et al. https://doi.org/10.5194/amt-18-5669-2025
123. Optical properties and shape-dependent retrievals of the imaginary part of the refractive index of freshly emitted Saharan dust J. Yus-Díez et al. https://doi.org/10.5194/acp-26-14531-2026
124. Compact dual-wavelength depolarization lidar for aerosol characterization over the subtropical North Atlantic Y. González et al. https://doi.org/10.5194/amt-18-1885-2025
125. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. https://doi.org/10.5194/acp-23-4391-2023
126. Anomalous Selective Absorption of Smoke Aerosol during Forest Fires in Alaska in July–August 2019 G. Gorchakov et al. https://doi.org/10.31857/S0002351523060044
127. Long-term trends in aerosol properties derived from AERONET measurements Z. Zhang et al. https://doi.org/10.5194/acp-25-4617-2025
128. Aerosol characterisation in the subtropical eastern North Atlantic region using long-term AERONET measurements Á. Barreto et al. https://doi.org/10.5194/acp-22-11105-2022
129. A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space L. Zhang et al. https://doi.org/10.3390/rs16244659
130. Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. https://doi.org/10.1016/j.atmosres.2021.105802
131. Aerosol Loading and Radiation Budget Perturbations in Densely Populated and Highly Polluted Indo‐Gangetic Plain by COVID‐19: Influences on Cloud Properties and Air Temperature P. Khatri et al. https://doi.org/10.1029/2021GL093796
132. Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations Y. Dong et al. https://doi.org/10.5194/essd-17-3873-2025
133. Retrieval of aerosol properties from aerosol optical depth measurements with high temporal resolution and spectral range A. Karanikolas et al. https://doi.org/10.5194/amt-18-7651-2025
134. Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments R. González et al. https://doi.org/10.3390/rs12223769
135. Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods M. Kim et al. https://doi.org/10.5194/amt-17-4317-2024
136. Type-based assessment of aerosol direct radiative effects: A proof-of-concept using GEOS-Chem and CATCH B. Sutherland & N. Meskhidze https://doi.org/10.1016/j.atmosres.2025.108036
137. Global aerosol models considering their spatial heterogeneities based on AERONET measurements S. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107521
138. Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters M. Montes et al. https://doi.org/10.3389/frsen.2022.860816
139. Retrieving BRDFs from UAV-based radiometers for fiducial reference measurements: caveats and recommendations S. Schunke et al. https://doi.org/10.3389/frsen.2023.1285800
140. Simultaneous Characterization of Wildfire Smoke and Surface Properties With Imaging Spectroscopy During the FIREX‐AQ Field Campaign P. Brodrick et al. https://doi.org/10.1029/2021JD034905
141. Absorbing Aerosol Optical Depth From OMI/TROPOMI Based on the GBRT Algorithm and AERONET Data in Asia D. Li et al. https://doi.org/10.1109/TGRS.2022.3231699
142. Ageing, Dilution and the Limits of Detection: A Canada-to-Romania Wildfire Smoke Transport Episode Observed with the RADO-Cluj ACTRIS National Facility and PACE Multi-Angle Polarimetry N. Ajtai et al. https://doi.org/10.3390/rs18213776
143. Feasibility analysis of AERONET lunar AOD for nighttime particulate matter estimation K. Kim et al. https://doi.org/10.1088/2515-7620/accfe9
144. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
145. Exceptional high AOD over Svalbard in summer 2019: a multi-instrumental approach S. Herrero-Anta et al. https://doi.org/10.5194/acp-26-1435-2026
146. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests H. Hashimoto et al. https://doi.org/10.1038/s41467-021-20994-y
147. A Contrast Minimization Approach to Remove Sun Glint in Landsat 8 Imagery F. Fell https://doi.org/10.3390/rs14184643
148. Aerosol characteristics over Indo-Gangetic Plain from ground-based AERONET and MERRA-2/CAMS model simulations K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2022.119434
149. Difference between global and regional aerosol model classifications and associated implications for spaceborne aerosol optical depth retrieval P. Zhou et al. https://doi.org/10.1016/j.atmosenv.2023.119674
150. Atmospheric dust and air quality over large-cities and megacities of the world E. Proestakis et al. https://doi.org/10.5194/acp-25-14777-2025
151. Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season U. Jeong et al. https://doi.org/10.5194/acp-22-11957-2022
152. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. https://doi.org/10.1021/acs.est.3c02111
153. The mineral aerosol profiling from infrared radiances version 5.1 algorithm and its evaluation S. Vandenbussche et al. https://doi.org/10.5194/amt-19-4889-2026
154. Aerosol properties and aerosol–radiation interactions in clear-sky conditions over Germany J. Witthuhn et al. https://doi.org/10.5194/acp-21-14591-2021
155. On the retrieval of cloud optical thickness from spectral radiances - An intercomparison of ground-based measurements in the Arctic F. Calì Quaglia et al. https://doi.org/10.1016/j.jqsrt.2026.109898
156. Global hourly seamless AOD through measurement-adjusted machine learning fusion of multi-satellite and reanalysis data Y. Ding et al. https://doi.org/10.1080/15481603.2025.2586203
157. Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions V. Salamalikis et al. https://doi.org/10.1016/j.renene.2021.02.025
158. A Modular Framework for All-Sky Radiance: Physically Based Simulation for Complex Cloud Conditions M. Yang et al. https://doi.org/10.1109/TGRS.2026.3687091
159. Diurnal coupling of total column nitrogen dioxide and aerosol optical depth: Insights from the Pandora Asia network S. Kim et al. https://doi.org/10.1016/j.rse.2026.115682
160. A Comparison of Multi-Angle Implementation of Atmospheric Correction and MOD09 Daily Surface Reflectance Products From MODIS A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.712093
161. Impact of military activity on atmospheric aerosol characteristics in Ukraine and Kyiv city X. Wei et al. https://doi.org/10.1016/j.apr.2025.102496
162. Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America R. Mishra et al. https://doi.org/10.1016/j.rse.2025.114837
163. Does total column ozone change during a solar eclipse? G. Bernhard et al. https://doi.org/10.5194/acp-25-819-2025
164. Spectral transformer with physics-informed regularization for high-resolution Landsat-8 AOD retrieval X. Xu et al. https://doi.org/10.1016/j.jqsrt.2026.110084
165. Prediction of Circumsolar Irradiance and Its Impact on CSP Systems under Clear Skies E. Abreu et al. https://doi.org/10.3390/en16247950
166. Characterization of columnar aerosol over a background site in Central Asia D. Rupakheti et al. https://doi.org/10.1016/j.envpol.2022.120501
167. Modeling impacts of dust mineralogy on fast climate response Q. Song et al. https://doi.org/10.5194/acp-24-7421-2024
168. Vertical profile of the clear-sky aerosol direct radiative effect in an Alpine valley, by the synergy of ground-based measurements and radiative transfer simulations G. Fasano et al. https://doi.org/10.1007/s42865-021-00041-w
169. Columnar aerosol types and compositions over peninsular Southeast Asia based on long-term AERONET data S. Wang et al. https://doi.org/10.1007/s11869-021-01119-2
170. Evaluation of the vertically-resolved aerosol radiative effect on shortwave and longwave ranges using sun-sky photometer and ceilometer measurements E. Bazo et al. https://doi.org/10.1016/j.atmosres.2022.106517
171. Global Aerosol Retrieval Over Land Using the Chinese Satellite Polarimeter DPC-2/GF-5(02) Z. Zhang et al. https://doi.org/10.1109/TGRS.2025.3633391
172. Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar D. dos Santos Oliveira et al. https://doi.org/10.3390/rs15205010
173. Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. https://doi.org/10.5194/amt-16-2989-2023
174. Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations I. Konovalov et al. https://doi.org/10.5194/amt-14-6647-2021
175. The evolution of aerosol types and direct radiative forcing in Beijing-Tianjin-Hebei, China: A long-term analysis with a modified Gaussian mixture model J. Wang et al. https://doi.org/10.1016/j.atmosres.2026.109072
176. Source-dependent optical and mineral signatures of dust outbreaks over the Mediterranean A. Papetta et al. https://doi.org/10.5194/acp-26-12395-2026
177. Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. https://doi.org/10.1109/JSTARS.2021.3108669
178. Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. https://doi.org/10.1016/j.atmosenv.2022.119054
179. Where sky meets sea: Integrated aerosol and ocean color retrieval from PACE SPEXone multi-angle polarimetry M. Gao et al. https://doi.org/10.1016/j.rse.2026.115603
180. Ground-based MFRSR UV-Vis spectral retrievals of Saharan dust absorption at Izaña Observatory H. Jethva et al. https://doi.org/10.5194/amt-19-4335-2026
181. A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Y. Shi et al. https://doi.org/10.5194/amt-14-3449-2021
182. Advancing operational global aerosol forecasting with machine learning K. Gui et al. https://doi.org/10.1038/s41586-026-10234-y
183. Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. https://doi.org/10.1080/20964471.2024.2316730
184. The influence of scattering correction effect based on optical path distribution on CO2 retrieval Y. Jiang et al. https://doi.org/10.1515/phys-2025-0245
185. Fresh volcanic aerosols injected in the atmosphere during the volcano eruptive activity at the Cumbre Vieja area (La Palma, Canary Islands): Temporal evolution and vertical impact C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2023.119667
186. Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements S. Sayedain et al. https://doi.org/10.5194/amt-16-4115-2023
187. Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. https://doi.org/10.3390/rs13183626
188. Study on inversion of atmospheric aerosol nonsphericity based on satellite and ground observations X. Nie & Q. Mao https://doi.org/10.1016/j.atmosres.2022.106582
189. First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. https://doi.org/10.5194/amt-17-4369-2024
190. Microstructure and Absorption Capacity of Aerosol in Nonphotochemical Smog G. Gorchakov et al. https://doi.org/10.1134/S1028334X25609861
191. Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires D. Robbins et al. https://doi.org/10.5194/amt-17-3279-2024
192. An AI-based algorithm for retrieving aerosol optical depth and single scattering albedo using All-Sky Imager observations H. Ni et al. https://doi.org/10.5194/amt-19-5871-2026
193. First Ever Observations of Mineral Dust in Wintertime over Warsaw, Poland D. Szczepanik et al. https://doi.org/10.3390/rs14153788
194. Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment E. Kassianov et al. https://doi.org/10.3390/atmos12111412
195. Retrieval of aerosol single scattering albedo using joint satellite and surface visibility measurements Y. Dong et al. https://doi.org/10.1016/j.rse.2023.113654
196. Optimized retrievals of aerosol optical properties from directional polarimetric camera using optimal linear mixture of basis aerosol models supported by the non-negative matrix factorization S. Jin et al. https://doi.org/10.1016/j.rse.2026.115504
197. Efficient calculation of radiative intensity including the polarization effect in moderately thick atmospheres using a truncation approximation M. Momoi et al. https://doi.org/10.1016/j.jqsrt.2021.107976
198. Variations in major aerosol components from long-term measurement of columnar aerosol optical properties at a SKYNET site downwind of Seoul, Korea Y. Choi & Y. Ghim https://doi.org/10.1016/j.atmosenv.2020.117991
199. Characterization of Saharan and Middle Eastern dust aerosols and their associated shortwave direct radiative effects over Cyprus G. Charalampous et al. https://doi.org/10.5194/amt-19-5753-2026
200. Radiative effects of absorbing aerosol types over South Asia K. Ansari & S. Ramachandran https://doi.org/10.1016/j.scitotenv.2022.159969
201. Microwave radiometer, sun-photometer and GNSS multi-comparison of integrated water vapor in Southwestern Europe J. Vaquero-Martínez et al. https://doi.org/10.1016/j.atmosres.2023.106698
202. Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager M. Kim et al. https://doi.org/10.5194/amt-17-1913-2024
203. 基于AERONET的东沙海域气溶胶光学模型 陈. Chen Shunping et al. https://doi.org/10.3788/AOS230587
204. Aerosol composition, transport, and radiative impact derived from ground-based and satellite remote sensing in the Central Himalaya P. Singh et al. https://doi.org/10.1016/j.scitotenv.2025.180657
205. The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. https://doi.org/10.5194/amt-15-6865-2022
206. Impact of synoptic meteorological conditions on air quality in three different case studies in Rome, Italy A. Di Bernardino et al. https://doi.org/10.1016/j.apr.2021.02.019
207. Seasonal aerosol variations at the Land-Ocean boundary: Insights from a global AERONET network analysis J. Zhao et al. https://doi.org/10.1016/j.envint.2026.110158
208. An emerging aerosol climatology via remote sensing over Metro Manila, the Philippines G. Lorenzo et al. https://doi.org/10.5194/acp-23-10579-2023
209. Regional validation of the solar irradiance tool SolaRes in clear-sky conditions, with a focus on the aerosol module T. Elias et al. https://doi.org/10.5194/amt-17-4041-2024
210. Synergetic Multi-Instrument and Modelling Approach for the Detailed Characterisation of Rapid Transitions Between Contrasting Aerosol Regimes L. Belegante et al. https://doi.org/10.3390/rs18193296
211. Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period R. Barragan et al. https://doi.org/10.3390/rs12223699
212. Development and Application of the ACRA24 Model: Assessing Aerosol Radiative Forcing and Absorptivity across Tropical, Arid, Temperate, and Continental Climates in the Northern Hemisphere O. Salhi et al. https://doi.org/10.3103/S0003701X25600456
213. Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun–sky photometer measurements J. Benavent-Oltra et al. https://doi.org/10.5194/acp-21-9269-2021
214. Radiative effects of biomass-burning aerosols on surface solar irradiance in southern Mexico: Evidence from BSRN–AERONET observations G. Carabalí et al. https://doi.org/10.1016/j.jastp.2026.106977
215. Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka P. Tiwari et al. https://doi.org/10.1038/s43247-025-02012-x
216. Small but Notable Influence of Numerical Diffusion on Super Coarse Dust Sedimentation: Insights from UNO3 vs. Upwind Schemes E. Drakaki et al. https://doi.org/10.3390/atmos16091086
217. Water vapour characteristics and radiative effects at high-altitude Himalayan sites U. Dumka et al. https://doi.org/10.1016/j.apr.2021.101303
218. The polarimetric characteristics of dust with irregular shapes: evaluation of the spheroid model for single particles J. Luo et al. https://doi.org/10.5194/amt-15-2767-2022
219. Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. https://doi.org/10.1016/j.rse.2022.113142
220. Columnar optical-radiative properties and components of aerosols in the Arctic summer from long-term AERONET measurements Y. Liang et al. https://doi.org/10.1016/j.scitotenv.2023.169052
221. A large reduction of direct aerosol cooling over Poland in the last decades K. Markowicz et al. https://doi.org/10.1002/joc.7488
222. Measurement report: Combined use of MAX-DOAS and AERONET ground-based measurements in Montevideo, Uruguay, for the detection of distant biomass burning M. Osorio et al. https://doi.org/10.5194/acp-24-7447-2024
223. Advanced Time series Multi-wavelength AOD Transformer (TMAT) model: joint retrieval of aerosol optical and microphysical properties using Himawari-8 AHI data L. She et al. https://doi.org/10.1016/j.jag.2026.105252
224. A regional case study of aerosol-induced radiative and precipitation responses in Mainland Southeast Asia S. Bran et al. https://doi.org/10.1016/j.atmosenv.2026.122184
225. Optically consistent multi-parameter aerosol retrieval from dual-satellite polarimetric observations enabled by physics-guided deep learning Z. Wang et al. https://doi.org/10.1016/j.rse.2026.115685
226. Impact of Vertical Profiles of Aerosols on the Photolysis Rates in the Lower Troposphere from the Synergy of Photometer and Ceilometer Measurements in Raciborz, Poland, for the Period 2015–2020 A. Pietruczuk et al. https://doi.org/10.3390/rs14051057
227. The Aerosol Optical Depth Retrieval from Wide-Swath Imaging of DaQi-1 over Beijing Z. Wang et al. https://doi.org/10.3390/atmos15121476
228. Characterization of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data B. Torres & D. Fuertes https://doi.org/10.5194/amt-14-4471-2021
229. CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties C. Herrero del Barrio et al. https://doi.org/10.1371/journal.pone.0311990
230. 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
231. Polarimetric coordinate validation for merging GRASP and AirMSPI FIREX-AQ observations C. DeLeon et al. https://doi.org/10.1016/j.jqsrt.2024.108910
232. Extreme wildfires over northern Greece during summer 2023 – Part A: Effects on aerosol optical properties and solar UV radiation K. Michailidis et al. https://doi.org/10.1016/j.atmosres.2024.107700
233. 20 years of columnar aerosol properties at Valencia area (Eastern Spain) by ground-based sun-photometry M. Garcia-Suñer et al. https://doi.org/10.1016/j.atmosres.2023.107198
234. Long-Term Trends in Aerosol Single Scattering Albedo Cause Bias in MODIS Aerosol Optical Depth Trends Z. Zhang et al. https://doi.org/10.1109/TGRS.2024.3424981
235. Impact of cloud presence on sky radiances and the retrieval of aerosol properties S. Herrero-Anta et al. https://doi.org/10.1016/j.atmosres.2025.107938
236. POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. https://doi.org/10.5194/amt-16-1951-2023
237. Atmospheric Aerosol Outbreak over Nicosia, Cyprus, in April 2019: Case Study Y. Yukhymchuk et al. https://doi.org/10.3390/atmos13121997
238. Remote sensing of local-dust across the Canadian Arctic S. Sayedain et al. https://doi.org/10.5194/amt-19-4553-2026
239. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison C. Chen et al. https://doi.org/10.1016/j.rse.2024.114374
240. Radiative and climate effects of aerosol scattering in long-wave radiation based on global climate modelling T. Drugé et al. https://doi.org/10.5194/acp-25-11651-2025
241. A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al. https://doi.org/10.5194/essd-18-507-2026
242. Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing C. Chen et al. https://doi.org/10.1038/s41467-022-35147-y
243. The retrieval of cloud properties based on spectral solar light diffuse transmittance measurements under optically thick cloud cover conditions A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2020.107008
244. Spatio-temporal variation of ultraviolet radiation (UVR) and its relationship with distinct aerosol types over the Indo-Gangetic Plain A. Mall & S. Singh https://doi.org/10.1016/j.apr.2026.103247
245. Aerosols optical and radiative properties in Indonesia based on AERONET version 3 S. Kusumaningtyas et al. https://doi.org/10.1016/j.atmosenv.2022.119174
246. Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al. https://doi.org/10.1016/j.jqsrt.2025.109802
247. Global assessment of aerosol radiative effects: New insights from observations, reanalysis, and climate models K. Ansari et al. https://doi.org/10.1016/j.scitotenv.2025.180871
248. 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
249. Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations R. Kudo et al. https://doi.org/10.5194/amt-16-3835-2023
250. On the retrieval of cloud optical thickness from spectral radiances - A sensitivity study with high albedo surfaces F. Calì Quaglia et al. https://doi.org/10.1016/j.jqsrt.2024.109108
251. Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network M. Kim et al. https://doi.org/10.3390/rs15143621
252. Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. https://doi.org/10.5572/KOSAE.2025.41.2.254
253. Retrieving Nocturnal Aerosol Optical Depth Using Lunar Photometry: Algorithm Improvements and Evaluation J. Zhu et al. https://doi.org/10.1109/TGRS.2025.3642839
254. Sensitivity analysis of Look-up table for satellite-based aerosol optical depth retrieval S. Amini et al. https://doi.org/10.1016/j.jaerosci.2021.105842
255. A multilevel downscaling model for enhancing nocturnal aerosol optical depth reanalysis from CAMS over the Beijing-Tianjin-Hebei region, China S. Wang et al. https://doi.org/10.1016/j.eti.2025.104238
256. Intelligent Atmospheric Correction Algorithm for Polarization Ocean Color Satellite Measurements Over the Open Ocean X. He et al. https://doi.org/10.1109/TGRS.2023.3348159
257. Increased aerosol scattering contributes to the recent monsoon rainfall decrease over the Gangetic Plain T. Ying et al. https://doi.org/10.1016/j.scib.2023.08.052
258. Aerosol properties in the atmosphere of Natal/Brazil measured by an AERONET Sun-photometer D. Fortunato dos Santos Oliveira et al. https://doi.org/10.1007/s11356-020-11373-z
259. A comprehensive analysis of blue-to-red atmospheric signatures from all-sky imagery: CLARIS, an adaptive cloud-cover framework P. Valdelomar et al. https://doi.org/10.1016/j.atmosres.2026.109131
260. Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S. X. Ye et al. https://doi.org/10.3390/rs14236113
261. Extended aerosol optical depth (AOD) time series analysis in an Alpine valley: a comparative study from 2007 to 2023 J. Wagner et al. https://doi.org/10.5194/ar-2-153-2024
262. Feasibility of satellite vicarious calibration using HYPERNETS surface reflectances from Gobabeb and Princess Elisabeth Antarctica sites P. De Vis et al. https://doi.org/10.3389/frsen.2024.1323998
263. Effect of Shape and Sizes of Crystal Particles on Angular Distributions of Transmitted Solar Radiation in Two Sensing Geometries: Results of Numerical Simulation T. Zhuravleva https://doi.org/10.1134/S1024856021010127
264. Downscaling aerosol optical depth by fusing satellite retrieval and model simulation using artificial intelligence technology L. Sun et al. https://doi.org/10.1016/j.atmosres.2025.108411
265. Exploring biases in the GISS ModelE Earth system model brown carbon representation with in-situ flight observations M. DeLessio et al. https://doi.org/10.5194/acp-26-7325-2026
266. First assessment of Aeolus Standard Correct Algorithm particle backscatter coefficient retrievals in the eastern Mediterranean A. Gkikas et al. https://doi.org/10.5194/amt-16-1017-2023
267. Growth and Global Persistence of Stratospheric Sulfate Aerosols From the 2022 Hunga Tonga–Hunga Ha'apai Volcanic Eruption M. Boichu et al. https://doi.org/10.1029/2023JD039010
268. A global perspective on CO2 satellite observations in high AOD conditions T. Virtanen et al. https://doi.org/10.5194/amt-18-929-2025
269. Study on global atmospheric aerosol type identification from combined satellite and ground observations X. Nie et al. https://doi.org/10.1016/j.atmosenv.2025.121100
270. Selective Absorption of a Dust Haze in the Visible Spectrum over the Middle East in Spring 2022 G. Gorchakov et al. https://doi.org/10.1134/S1028334X2460525X
271. 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
272. Modeling coarse and giant desert dust particles E. Drakaki et al. https://doi.org/10.5194/acp-22-12727-2022
273. Atmospheric Correction of Coastal Waters Based on Satellite–AERONET-OC Matchups X. Li et al. https://doi.org/10.34133/remotesensing.0886
274. A decadal, hourly high-resolution satellite dataset of aerosol optical properties over East Asia J. Lee et al. https://doi.org/10.5194/essd-17-5761-2025
275. A Generalized Aerosol Algorithm for Multi‐Spectral Satellite Measurement With Physics‐Informed Deep Learning Method J. Jiang et al. https://doi.org/10.1029/2023GL106806
276. Sensitivity of global direct aerosol shortwave radiative forcing to uncertainties in aerosol optical properties J. Elsey et al. https://doi.org/10.5194/acp-24-4065-2024
277. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al. https://doi.org/10.5194/acp-26-2487-2026
278. 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
279. The extreme forest fires in California/Oregon in 2020: Aerosol optical and physical properties and comparisons of aged versus fresh smoke T. Eck et al. https://doi.org/10.1016/j.atmosenv.2023.119798
280. Investigating the Presence of Biomass Burning Events at Ny-Ålesund: Optical and Chemical Insights from Summer-Fall 2019 S. Pulimeno et al. https://doi.org/10.1016/j.atmosenv.2024.120336
281. Combined Characterization of Airborne Saharan Dust above Sofia, Bulgaria, during Blocking-Pattern Conditioned Dust Episode in February 2021 Z. Peshev et al. https://doi.org/10.3390/rs15153833
282. Interpretable machine learning quantifies composition and size influences on aerosol spectral absorption W. Wang et al. https://doi.org/10.5194/acp-26-6471-2026
283. Preliminary Retrieval and Validation of Aerosol Optical Depths from FY-4B Advanced Geostationary Radiation Imager Images D. Zhou et al. https://doi.org/10.3390/rs16020372
284. Enhanced net CO2 exchange of a semideciduous forest in the southern Amazon due to diffuse radiation from biomass burning S. Rodrigues et al. https://doi.org/10.5194/bg-21-843-2024
285. Intercomparison of aerosol optical depth retrievals from GAW-PFR and SKYNET sun photometer networks and the effect of calibration A. Karanikolas et al. https://doi.org/10.5194/amt-17-6085-2024
286. A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications O. Dubovik et al. https://doi.org/10.3389/frsen.2021.706851
287. Statistical Approach to the Synergy of Data from Caliop and Ground-Based Radiometric Stations for Studying Altitude Profiles of Aerosol Parameters A. Chaikovsky et al. https://doi.org/10.1007/s10812-024-01729-5
288. Numerical neural network approach to simultaneous material classification and sizing of aerosolized particles M. Geisler et al. https://doi.org/10.1016/j.jqsrt.2021.107982
289. Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing M. Parmar et al. https://doi.org/10.1016/j.atmosenv.2024.120661
290. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. https://doi.org/10.1016/j.rse.2024.114275
291. Pretrained Deep Learning Framework for Assessing Aerosol Pollution and Radiative Forcing from Satellite Polarization Measurements Z. Ji et al. https://doi.org/10.1021/acsestair.5c00445
292. Aerosol optical depth retrieval from Geostationary Environment Monitoring Spectrometer (GEMS): Advancing the first hyperspectral geostationary air quality mission using deep learning H. Choi et al. https://doi.org/10.1016/j.scitotenv.2025.180535
293. Characterization of aerosol optical depth (AOD) anomalies in September and October 2022 over Skukuza in South Africa M. Ranaivombola et al. https://doi.org/10.5194/acp-25-3519-2025
294. Retrieval of Aged Biomass-Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer M. López-Cayuela et al. https://doi.org/10.3390/rs14153619
295. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. https://doi.org/10.5194/acp-22-1395-2022
296. Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. https://doi.org/10.5194/amt-17-3121-2024
297. Diurnal and nocturnal aerosol properties by AERONET sun-sky-lunar photometer measurements along four years M. Perrone et al. https://doi.org/10.1016/j.atmosres.2021.105889
298. Air Pollution and Health Burden in India Quantified Using the AEIM-India Emission Inventory M. Lund et al. https://doi.org/10.1021/acsestair.5c00171
299. Twilight Near-Infrared Radiometry for Stratospheric Aerosol Layer Height L. Mukherjee et al. https://doi.org/10.3390/rs17122071
300. Atmospheric processing and aerosol aging responsible for observed increase in absorptivity of long-range-transported smoke over the southeast Atlantic A. Fakoya et al. https://doi.org/10.5194/acp-25-7879-2025
301. Version 2 of hourly aerosol optical centroid height (AOCH) data product from EPIC/DSCOVR in deep space Z. Lu et al. https://doi.org/10.1016/j.rse.2026.115623
302. A review of coarse mineral dust in the Earth system A. Adebiyi et al. https://doi.org/10.1016/j.aeolia.2022.100849
303. Joint Diagnostics of Circumsolar Sky Brightness Using Coronagraphic Measurements and Aerosol Optical Inversions at Maunaloa T. Schad et al. https://doi.org/10.3847/1538-4357/ae4ec2
304. Impact of Brown Carbon on the Simulation of Optical Properties over East Asia in a Chemistry–climate Model S. Yang et al. https://doi.org/10.1007/s13143-026-00438-7
305. Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
306. Interpolation uncertainty of atmospheric temperature profiles A. Fassò et al. https://doi.org/10.5194/amt-13-6445-2020
307. Retrieval of Long-Term (1980–2024) Time Series of PM10 Concentration by an Empirical Method: The Paris, Cairo, and New Delhi Case Studies A. Khaled et al. https://doi.org/10.3390/atmos16111272
308. Quantitative analysis of the Martian atmospheric dust cycle: Transported mass, surface dust lifting and sedimentation rates M. López-Cayuela et al. https://doi.org/10.1016/j.icarus.2023.115854
309. Canadian Wildfire Smoke Episode over Europe in October 2023: Lidar, Sun-Photometer, and Model Characterization of Smoke Layers Observed Above Sofia, Bulgaria T. Evgenieva et al. https://doi.org/10.3390/rs17162899
310. Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. https://doi.org/10.5194/acp-23-14841-2023
311. Columnar Aerosol Optical Property Characterization and Aerosol Typing Based on Ground-Based Observations in a Rural Site in the Central Yangtze River Delta Region Y. Xie et al. https://doi.org/10.3390/rs14020406
312. A methodology for realistic estimation of the aerosol impact on the solar potential R. Blaga et al. https://doi.org/10.1016/j.solener.2024.112425
313. Validation of aerosol chemical composition and optical properties provided by Copernicus Atmosphere Monitoring Service (CAMS) using ground-based global data A. Amarillo et al. https://doi.org/10.1016/j.atmosenv.2024.120683
314. Employing smoothness of the time series of sky radiances measured in the solar aureole for cloud screening A. Sinyuk et al. https://doi.org/10.5194/amt-19-6125-2026
315. Development of an Automated Solar-Tracking and Control System for MICROTOPS II Observations and Field-Transfer Validation Against an AERONET CIMEL CE-318 for CAS500-4 D. Kim et al. https://doi.org/10.3390/rs18213677
316. Relative sky radiance from multi-exposure all-sky camera images J. Antuña-Sánchez et al. https://doi.org/10.5194/amt-14-2201-2021
317. Accuracy of SeaHawk-HawkEye Ocean color CubeSat remote sensing reflectance products in globally distributed aquatic sites S. Kolluru et al. https://doi.org/10.1016/j.rse.2025.115111
318. Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles H. Hashimoto et al. https://doi.org/10.5194/essd-18-397-2026
319. Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations A. Lopatin et al. https://doi.org/10.5194/amt-14-2575-2021
320. Relationship between the sub-micron fraction (SMF) and fine-mode fraction (FMF) in the context of AERONET retrievals N. O'Neill et al. https://doi.org/10.5194/amt-16-1103-2023
321. Machine learning-driven characterization and prescription of aerosol optical properties for atmospheric models N. do Rosário et al. https://doi.org/10.5194/gmd-19-2691-2026
322. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. https://doi.org/10.5194/acp-23-8187-2023