254 citations as recorded by crossref.

1. Potential impact of aerosols on convective clouds revealed by Himawari-8 observations over different terrain types in eastern China T. Chen et al. https://doi.org/10.5194/acp-21-6199-2021
2. Trend Analysis of Aerosol Optical Depth and &#197ngstr&#246m Exponent Anomaly over East Africa J. Makokha et al. https://doi.org/10.4236/acs.2017.74043
3. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. https://doi.org/10.5194/acp-20-139-2020
4. Long-term (2008–2017) analysis of atmospheric composite aerosol and black carbon radiative forcing over a semi-arid region in southern India: Model results and ground measurement R. Kalluri et al. https://doi.org/10.1016/j.atmosenv.2020.117840
5. Development of an Algorithm to Retrieve Aerosol Optical Properties Over Water Using an Artificial Neural Network Radiative Transfer Scheme: First Result From GOSAT-2/CAI-2 C. Shi et al. https://doi.org/10.1109/TGRS.2020.3038892
6. Trends in aerosol optical properties over the Bohai Rim in Northeast China from 2004 to 2010 J. Xin et al. https://doi.org/10.1016/j.atmosenv.2011.08.052
7. Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm L. Li et al. https://doi.org/10.5194/essd-14-3439-2022
8. Column Integrated Water Vapor and Aerosol Load Characterization with the New ZEN-R52 Radiometer A. Almansa et al. https://doi.org/10.3390/rs12091424
9. Obtaining best parameterization scheme of RegCM 4.4 for aerosols and chemistry simulations over the CORDEX South Asia P. Ajay et al. https://doi.org/10.1007/s00382-018-4587-3
10. Estimating surface solar irradiance from satellites: Past, present, and future perspectives G. Huang et al. https://doi.org/10.1016/j.rse.2019.111371
11. Trend analysis of aerosol optical thickness and Ångström exponent derived from the global AERONET spectral observations J. Yoon et al. https://doi.org/10.5194/amt-5-1271-2012
12. A new zenith-looking narrow-band radiometer-based system (ZEN) for dust aerosol optical depth monitoring A. Almansa et al. https://doi.org/10.5194/amt-10-565-2017
13. Utilization of AERONET polarimetric measurements for improving retrieval of aerosol microphysics: GSFC, Beijing and Dakar data analysis A. Fedarenka et al. https://doi.org/10.1016/j.jqsrt.2016.03.021
14. 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
15. Retrieving radius, concentration, optical depth, and mass of different types of aerosols from high-resolution infrared nadir spectra L. Clarisse et al. https://doi.org/10.1364/AO.49.003713
16. An optimization approach for aerosol retrievals using simulated MISR radiances D. Diner et al. https://doi.org/10.1016/j.atmosres.2011.05.020
17. A CloudSat Perspective on the Cloud Climatology and Its Association with Aerosol Perturbations in the Vertical over Eastern China T. Chen et al. https://doi.org/10.1175/JAS-D-15-0309.1
18. Research on aerosol sources and chemical composition: Past, current and emerging issues A. Calvo et al. https://doi.org/10.1016/j.atmosres.2012.09.021
19. Indian dust-rain storm: Possible influences of dust ice nuclei on deep convective clouds T. Yuan et al. https://doi.org/10.1016/j.scitotenv.2021.146439
20. A Comparative Assessment of Multisensor Data Merging and Fusion Algorithms for High-Resolution Surface Reflectance Data X. Wei et al. https://doi.org/10.1109/JSTARS.2020.3008746
21. DGPF-RENet: A Low Data Dependence Network With Low Training Iterations for Hyperspectral Image Classification J. Zhan et al. https://doi.org/10.1109/TGRS.2023.3306891
22. A global survey of the effect of cloud contamination on the aerosol optical thickness and its long‐term trend derived from operational AVHRR satellite observations T. Zhao et al. https://doi.org/10.1002/jgrd.50278
23. Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. https://doi.org/10.1016/j.jqsrt.2014.01.003
24. Estimation of PM2.5 Using Multi-Angle Polarized TOA Reflectance Data from the GF-5B Satellite R. Zhang et al. https://doi.org/10.3390/rs16213944
25. On the relative stability of CERES reflected shortwave and MISR and MODIS visible radiance measurements during the Terra satellite mission J. Corbett & N. Loeb https://doi.org/10.1002/2015JD023484
26. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. https://doi.org/10.1080/10643389.2019.1665944
27. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements D. Giles et al. https://doi.org/10.5194/amt-12-169-2019
28. Relationship Between the Aerosol Loadings Over the Bay of Bengal and the Arabian Sea in the Early Summer and Asian Monsoon Rainfall Anomalies, and the Role of SST Anomalies in the Indian Ocean Y. Zhang et al. https://doi.org/10.1029/2022JD038112
29. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
30. Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China—Implications for PM2.5 Remote Sensing L. Qi et al. https://doi.org/10.3390/rs14122762
31. Decadal application of WRF/Chem for regional air quality and climate modeling over the U.S. under the representative concentration pathways scenarios. Part 1: Model evaluation and impact of downscaling K. Yahya et al. https://doi.org/10.1016/j.atmosenv.2016.12.029
32. Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean C. Shi et al. https://doi.org/10.5194/acp-19-2461-2019
33. Aerosol climatology characterization over Bangladesh using ground-based and remotely sensed satellite measurements S. Zaman et al. https://doi.org/10.1525/elementa.2021.000063
34. Satellite Aerosol Optical Depth Retrieval Based on Fully Connected Neural Network (FCNN) and a Combine Algorithm of Simplified Aerosol Retrieval Algorithm and Simplified and Robust Surface Reflectance Estimation (SREMARA) Y. Fan & L. Sun https://doi.org/10.1109/JSTARS.2023.3281777
35. 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
36. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. https://doi.org/10.3390/rs13142842
37. Aerosol Types and Their Climatology over the Dust Belt Region A. Samman & M. Butt https://doi.org/10.3390/atmos14111610
38. New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. https://doi.org/10.5194/amt-11-429-2018
39. Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach J. Wei et al. https://doi.org/10.1016/j.rse.2019.111221
40. Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain X. Fan et al. https://doi.org/10.3390/atmos10090480
41. Linkage of aerosol optical depth with rainfall and circulation parameters over the Eastern Gangetic Plains of India P. Sarthi et al. https://doi.org/10.1007/s12040-019-1204-8
42. Evaluation of MODIS DT, DB, and MAIAC Aerosol Products over Different Land Cover Types in the Yangtze River Delta of China J. Jiang et al. https://doi.org/10.3390/rs15010275
43. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison J. Wei et al. https://doi.org/10.1016/j.atmosenv.2018.12.004
44. Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches J. Wei et al. https://doi.org/10.1016/j.rse.2020.112005
45. Atmospheric turbidity determined by the annual cycle of the aerosol optical depth over north-center Spain from ground (AERONET) and satellite (MODIS) Y. Bennouna et al. https://doi.org/10.1016/j.atmosenv.2012.10.065
46. Haze Days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012 H. Chen & H. Wang https://doi.org/10.1002/2015JD023225
47. An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region M. Zhang et al. https://doi.org/10.3390/rs9111173
48. Machine learning-driven regional prediction of PM2.5 concentrations in the eastern mediterranean bridging spatial data gaps in air quality monitoring İ. Gürtepe et al. https://doi.org/10.1016/j.envsoft.2025.106586
49. Automatic radiometric normalization with genetic algorithms and a Kriging model S. Liu et al. https://doi.org/10.1016/j.cageo.2011.12.016
50. Characteristics of equivalent black carbon aerosols over Doon Valley in NW Indian Himalaya during COVID-19 lockdown 2020 C. Pandey & P. Negi https://doi.org/10.1007/s10661-022-09879-9
51. The optical properties of absorbing aerosols with fractal soot aggregates: Implications for aerosol remote sensing T. Cheng et al. https://doi.org/10.1016/j.jqsrt.2013.03.012
52. The role of satellite remote sensing in climate change studies J. Yang et al. https://doi.org/10.1038/nclimate1908
53. On the attribution of black and brown carbon light absorption using the Ångström exponent D. Lack & J. Langridge https://doi.org/10.5194/acp-13-10535-2013
54. Global trends of aerosol optical thickness using the ensemble empirical mode decomposition method Z. Zhang et al. https://doi.org/10.1002/joc.4637
55. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. https://doi.org/10.1002/2017JD026934
56. Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces J. Wei et al. https://doi.org/10.1109/TGRS.2019.2927432
57. Sensitivity of Scattering and Absorbing Aerosol to Top of Atmosphere Polarization Pattern H. Zhao et al. https://doi.org/10.1088/1755-1315/502/1/012023
58. Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring Z. Li et al. https://doi.org/10.3390/rs11020122
59. Validation of a modified AVHRR aerosol optical depth retrieval algorithm over Central Europe M. Riffler et al. https://doi.org/10.5194/amt-3-1255-2010
60. 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
61. Aerosol retrievals from channel-1 and -2 AVHRR radiances: Long-term trends updated and revisited M. Mishchenko et al. https://doi.org/10.1016/j.jqsrt.2012.05.006
62. Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: Application to Himawari-8 T. Su et al. https://doi.org/10.1016/j.rse.2020.112093
63. Aerosol retrievals derived from a low-cost Calitoo sun-photometer taken on board a research vessel R. García et al. https://doi.org/10.1016/j.atmosenv.2024.120888
64. Assessment of the aerosol optical depths measured by satellite-based passive remote sensors in the Alberta oil sands region C. Sioris et al. https://doi.org/10.5194/acp-17-1931-2017
65. Validation of MODIS and Deep Blue aerosol optical depth retrievals in an arid/semi-arid region of northwest China X. Li et al. https://doi.org/10.1016/j.partic.2011.08.002
66. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. https://doi.org/10.1029/2018JD029929
67. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
68. Revisiting AVHRR tropospheric aerosol trends using principal component analysis J. Li et al. https://doi.org/10.1002/2013JD020789
69. Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. https://doi.org/10.1002/2015JD024668
70. An assessment of the impact of Indian summer monsoon droughts on atmospheric aerosols and associated radiative forcing at a semi-arid station in peninsular India R. Kalluri et al. https://doi.org/10.1016/j.scitotenv.2021.152683
71. Aerosol seasonal variations over urban–industrial regions in Ukraine according to AERONET and POLDER measurements G. Milinevsky et al. https://doi.org/10.5194/amt-7-1459-2014
72. Delaying precipitation and lightning by air pollution over the Pearl River Delta. Part I: Observational analyses J. Guo et al. https://doi.org/10.1002/2015JD023257
73. Aerosol radiative effects over an urban location and a remote site in western India: Seasonal variability S. Ramachandran & S. Kedia https://doi.org/10.1016/j.atmosenv.2011.06.030
74. A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level K. Gobron et al. https://doi.org/10.1007/s10712-025-09922-7
75. A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. https://doi.org/10.5194/acp-13-2195-2013
76. Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach T. Zheng et al. https://doi.org/10.1016/j.atmosenv.2020.117451
77. Influence of observation angle change on satellite retrieval of aerosol optical depth L. Chen et al. https://doi.org/10.1080/16000889.2021.1940758
78. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. https://doi.org/10.1016/j.rse.2016.11.015
79. Changes in the diurnal variations of clouds and precipitation induced by anthropogenic aerosols over East China in August 2008 Y. Gao & M. Zhang https://doi.org/10.1016/j.apr.2017.11.013
80. Comparison of TOMS retrievals and UVMRP measurements of surface spectral UV radiation in the United States M. Xu et al. https://doi.org/10.5194/acp-10-8669-2010
81. Simultaneous determination of aerosol optical thickness and water-leaving radiance from multispectral measurements in coastal waters C. Shi & T. Nakajima https://doi.org/10.5194/acp-18-3865-2018
82. Multistatic aerosol–cloud lidar in space: A theoretical perspective M. Mishchenko et al. https://doi.org/10.1016/j.jqsrt.2016.07.015
83. The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions M. Ahmed et al. https://doi.org/10.3390/rs17142401
84. Advances in sunphotometer-measured aerosol optical properties and related topics in China: Impetus and perspectives X. Xia et al. https://doi.org/10.1016/j.atmosres.2020.105286
85. Change in diurnal variations of meteorological variables induced by anthropogenic aerosols over the North China Plain in summer 2008 Y. Gao et al. https://doi.org/10.1007/s00704-015-1403-4
86. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. https://doi.org/10.1029/2018JD029465
87. Study of Data-Merging and Interpolation Methods for Use in an Interactive Online Analysis System: MODIS Terra and Aqua Daily Aerosol Case V. Zubko et al. https://doi.org/10.1109/TGRS.2010.2050893
88. Integration of GEMS and MODIS AOD for enhanced long-term aerosol monitoring over East Asia H. Jeon et al. https://doi.org/10.1080/01431161.2026.2632162
89. Aerosol optical depth measurements in eastern China and a new calibration method K. Lee et al. https://doi.org/10.1029/2009JD012812
90. Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. https://doi.org/10.1016/j.scitotenv.2022.159117
91. Response of heterogeneous vegetation to aerosol radiative forcing over a northeast Indian station R. Latha et al. https://doi.org/10.1016/j.jenvman.2017.09.047
92. Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm J. Liu et al. https://doi.org/10.1016/j.atmosenv.2019.04.002
93. Surface Diffuse Solar Radiation Determined by Reanalysis and Satellite over East Asia: Evaluation and Comparison H. Jiang et al. https://doi.org/10.3390/rs12091387
94. Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. https://doi.org/10.1016/j.atmosenv.2023.120019
95. 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
96. Fire impact on aerosol distribution over ukraine from satellite and ground-based measurements A. Bovchaliuk https://doi.org/10.15407/knit2013.05.027
97. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. https://doi.org/10.5194/acp-14-6881-2014
98. Spatio‐temporal variations of black carbon and optical properties in a regional climate model R. Srivastava & S. Bran https://doi.org/10.1002/joc.4787
99. Little net clear-sky radiative forcing from recent regional redistribution of aerosols D. Murphy https://doi.org/10.1038/ngeo1740
100. An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development X. Yan et al. https://doi.org/10.1016/j.rse.2017.02.005
101. An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land J. Wei et al. https://doi.org/10.1029/2017JD027795
102. Validation and comparison of high-resolution MAIAC aerosol products over Central Asia X. Chen et al. https://doi.org/10.1016/j.atmosenv.2021.118273
103. Temporary reduction in fine particulate matter due to ‘anthropogenic emissions switch-off’ during COVID-19 lockdown in Indian cities P. Kumar et al. https://doi.org/10.1016/j.scs.2020.102382
104. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. https://doi.org/10.3390/rs13050844
105. Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. https://doi.org/10.1109/TGRS.2017.2727342
106. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al. https://doi.org/10.3390/rs8090765
107. Aerosol optical depth over Northeastern Brazil: A multi-platform intercomparison study G. Münchow et al. https://doi.org/10.1016/j.atmosres.2024.107864
108. Improved Aerosol Optical Depth and Ångstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model . Leiku Yang et al. https://doi.org/10.1109/LGRS.2014.2303317
109. Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. https://doi.org/10.1016/j.atmosenv.2022.119410
110. Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 N. Hsu et al. https://doi.org/10.5194/acp-12-8037-2012
111. Long-Term Aerosol Climate Data Record Derived from Operational AVHRR Satellite Observations P. Chan et al. https://doi.org/10.7167/2013/140791
112. Exploiting simultaneous observational constraints on mass and absorption to estimate the global direct radiative forcing of black carbon and brown carbon X. Wang et al. https://doi.org/10.5194/acp-14-10989-2014
113. Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery S. Lolli et al. https://doi.org/10.3390/atmos15060672
114. Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. https://doi.org/10.3389/fenvs.2021.770662
115. Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity A. Gumber et al. https://doi.org/10.5194/amt-16-2547-2023
116. Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes V. Martins et al. https://doi.org/10.3390/rs9040322
117. A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification X. Su et al. https://doi.org/10.1016/j.rse.2020.112221
118. Aircraft measurements of the vertical distribution and activation property of aerosol particles over the Loess Plateau in China J. Li et al. https://doi.org/10.1016/j.atmosres.2014.12.004
119. Vegetation fires in the himalayan region – Aerosol load, black carbon emissions and smoke plume heights K. Vadrevu et al. https://doi.org/10.1016/j.atmosenv.2011.11.009
120. Direct Radiative Forcing Induced by Light‐Absorbing Aerosols in Different Climate Regions Over East Asia X. Zhang et al. https://doi.org/10.1029/2019JD032228
121. Winter monsoon brings substantial terrestrial aerosols to Bay of Bengal and adjacent Indian Ocean: Insights from carbon and nitrogen isotopes Q. Lao et al. https://doi.org/10.1016/j.atmosenv.2024.120555
122. Variability of outdoor fine particulate (PM2.5) concentration in the Indian Subcontinent: A remote sensing approach S. Dey et al. https://doi.org/10.1016/j.rse.2012.08.021
123. Potential impacts of Arctic warming on Northern Hemisphere mid-latitude aerosol optical depth Y. Chen et al. https://doi.org/10.1007/s00382-019-04706-3
124. Sensitivity of aerosol radiative forcing to various aerosol parameters over the Bay of Bengal K. Eswaran et al. https://doi.org/10.1007/s12040-019-1200-z
125. Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations X. Wang et al. https://doi.org/10.5194/acp-16-12733-2016
126. Advances in the characterization of aerosol optical properties using long-term data from AERONET in Buenos Aires L. Cúneo et al. https://doi.org/10.1016/j.apr.2022.101360
127. Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets K. Hu et al. https://doi.org/10.1007/s11356-017-0715-6
128. Analysis of linear long-term trend of aerosol optical thickness derived from SeaWiFS using BAER over Europe and South China J. Yoon et al. https://doi.org/10.5194/acp-11-12149-2011
129. Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors M. Petrenko & C. Ichoku https://doi.org/10.5194/acp-13-6777-2013
130. Characterization of the aerosol vertical distributions and their impacts on warm clouds based on multi-year ARM observations Y. Lin et al. https://doi.org/10.1016/j.scitotenv.2023.166582
131. Exploiting TERRA-AQUA MODIS Relationship in the Reflective Solar Bands for Aerosol Retrieval X. Fan & Y. Liu https://doi.org/10.3390/rs8120996
132. Improved Aerosol Retrievals Over Complex Regions Using NPP Visible Infrared Imaging Radiometer Suite Observations Y. Yang et al. https://doi.org/10.1029/2019EA000574
133. Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. https://doi.org/10.3389/feart.2019.00152
134. Satellite monitoring of climatic factors regulating phytoplankton variability in the Arabian (Persian) Gulf N. Nezlin et al. https://doi.org/10.1016/j.jmarsys.2010.03.003
135. Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger https://doi.org/10.5194/amt-8-4699-2015
136. Multi-sensor Aerosol Products Sampling System (MAPSS) M. Petrenko et al. https://doi.org/10.5194/amt-5-913-2012
137. Status and Perspectives of the Validation and Evaluation of Wind-Blown Dust Models Using Three-Dimensional Air Quality Models H. Lee & S. Park https://doi.org/10.5572/KOSAE.2025.41.2.199
138. The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light A. Kokhanovsky et al. https://doi.org/10.5194/amt-3-909-2010
139. Temporal variation of aerosol optical depth and associated shortwave radiative forcing over a coastal site along the west coast of India H. Menon et al. https://doi.org/10.1016/j.scitotenv.2013.08.013
140. Improvement of aerosol optical depth retrieval using visibility data in China during the past 50 years J. Wu et al. https://doi.org/10.1002/2014JD021550
141. MODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north India K. Vadrevu et al. https://doi.org/10.1016/j.envpol.2011.03.001
142. Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. https://doi.org/10.5194/amt-13-593-2020
143. Satellite-based ground PM2.5 estimation using a gradient boosting decision tree T. Zhang et al. https://doi.org/10.1016/j.chemosphere.2020.128801
144. A practical set of miniaturized instruments for vertical profiling of aerosol physical properties H. Telg et al. https://doi.org/10.1080/02786826.2017.1296103
145. Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. https://doi.org/10.3390/rs12142330
146. A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong A. Tiwari et al. https://doi.org/10.1038/s41597-023-02193-0
147. MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products W. Zhang et al. https://doi.org/10.1007/s12524-020-01129-0
148. Fifteen-Year Global Time Series of Satellite-Derived Fine Particulate Matter B. Boys et al. https://doi.org/10.1021/es502113p
149. Effects of Anthropogenic Emission Control and Meteorology Changes on the Inter-Annual Variations of PM2.5–AOD Relationship in China L. Qi et al. https://doi.org/10.3390/rs14184683
150. Applying Advanced Ground-Based Remote Sensing in the Southeast Asian Maritime Continent to Characterize Regional Proficiencies in Smoke Transport Modeling J. Campbell et al. https://doi.org/10.1175/JAMC-D-15-0083.1
151. Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China X. Chen et al. https://doi.org/10.3390/rs12030467
152. Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. https://doi.org/10.2139/ssrn.4143337
153. Review of retrieval of aerosol optical depth to estimate particle concentration and its challenges based on spatiotemporal relationships by various spectroradiometer models C. Samuel et al. https://doi.org/10.1002/gj.4780
154. The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications G. Stephens et al. https://doi.org/10.3389/frsen.2021.664291
155. Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al. https://doi.org/10.1016/j.apr.2023.101948
156. Mapping PM2.5 concentration from the top-of-atmosphere reflectance of Himawari-8 via an ensemble stacking model X. Chen et al. https://doi.org/10.1016/j.atmosenv.2024.120560
157. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. https://doi.org/10.1016/j.envint.2020.106290
158. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance R. Levy et al. https://doi.org/10.5194/amt-8-4083-2015
159. Comparison of Artificial Intelligence and Physical Models for Forecasting Photosynthetically-Active Radiation L. Feng et al. https://doi.org/10.3390/rs10111855
160. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program J. Reid et al. https://doi.org/10.1016/j.atmosres.2012.06.005
161. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. https://doi.org/10.1007/s00376-017-7017-2
162. Sensor Noise Effects of the SWIR Bands on MODIS-Derived Ocean Color Products M. Wang & W. Shi https://doi.org/10.1109/TGRS.2012.2183376
163. Numerical, wind-tunnel, and atmospheric evaluation of a turbulent ground-based inlet sampling system R. Petersen et al. https://doi.org/10.1080/02786826.2019.1602718
164. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. https://doi.org/10.1029/2021JD035483
165. AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. https://doi.org/10.3390/rs15051343
166. Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014 M. Bilal et al. https://doi.org/10.3390/rs11050486
167. Toward unified satellite climatology of aerosol properties. M. Mishchenko et al. https://doi.org/10.1016/j.jqsrt.2009.11.003
168. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. https://doi.org/10.1109/TGRS.2023.3330544
169. Aerosol Characterization over Penang, Malaysia Using Aerosol Robotic Network (AERONET) A. Alias et al. https://doi.org/10.4028/www.scientific.net/AMM.661.81
170. The relation between columnar and surface aerosol optical properties in a background environment D. Szczepanik & K. Markowicz https://doi.org/10.1016/j.apr.2017.10.001
171. Effect of COVID-19 shutdown on aerosol direct radiative forcing over the Indo-Gangetic Plain outflow region of the Bay of Bengal A. Thomas et al. https://doi.org/10.1016/j.scitotenv.2021.146918
172. Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar J. Guo et al. https://doi.org/10.5194/acp-18-13329-2018
173. Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates Y. Yarragunta et al. https://doi.org/10.5194/acp-25-1685-2025
174. Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS A. Sayer et al. https://doi.org/10.5194/amt-5-1761-2012
175. Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces N. Karimi et al. https://doi.org/10.1016/j.apr.2019.01.008
176. Analysis of remotely sensed and surface data of aerosols and meteorology for the Mexico Megalopolis Area between 2003 and 2015 M. Mora et al. https://doi.org/10.1002/2017JD026739
177. Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert J. Boehmler et al. https://doi.org/10.3390/s18103504
178. Aluminum diffuser of Lambert scattering and high reflectivity based on abrasion and sodium hydroxide corrosion B. Li et al. https://doi.org/10.1080/09500340.2010.506249
179. Spatial Distribution and Impacts of Aerosols on Clouds Under Meiyu Frontal Weather Background Over Central China Based on Aircraft Observations J. Yang et al. https://doi.org/10.1029/2019JD031915
180. Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis K. Lee et al. https://doi.org/10.1007/s44273-024-00031-2
181. Spatial variability of aerosols over Greek archaeological sites using Space-Borne Remote Sensing A. Sakka et al. https://doi.org/10.1016/j.culher.2020.07.001
182. Effects of black carbon morphology on brown carbon absorption estimation: from numerical aspects J. Luo et al. https://doi.org/10.5194/gmd-14-2113-2021
183. Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013 H. Wang et al. https://doi.org/10.1016/j.agrformet.2016.06.004
184. Satellite-Based Estimation of Daily Ground-Level PM2.5 Concentrations over Urban Agglomeration of Chengdu Plain W. Han & L. Tong https://doi.org/10.3390/atmos10050245
185. A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. https://doi.org/10.1007/s13143-020-00215-0
186. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm Y. Wang et al. https://doi.org/10.3390/rs9040397
187. Spatial and temporal variations of satellite-based aerosol optical depth over Iran in Southwest Asia: Identification of a regional aerosol hot spot S. Sabetghadam et al. https://doi.org/10.1016/j.apr.2018.01.013
188. The main inherent uncertainty sources in trend estimation based on satellite remote sensing data J. Wen et al. https://doi.org/10.1007/s00704-022-04312-0
189. Aerosol optical depths over oceans: A view from MISR retrievals and collocated MAN and AERONET in situ observations M. Witek et al. https://doi.org/10.1002/2013JD020393
190. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. https://doi.org/10.1002/2017JD027412
191. Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms M. Bilal et al. https://doi.org/10.1016/j.rse.2014.07.015
192. Critical Corrections of MODIS Over-Land Aerosol Optical Depth Data From 2016 to 2017 for Near Real Time Applications X. Shen et al. https://doi.org/10.1109/JSTARS.2026.3678522
193. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko https://doi.org/10.1364/OE.25.00A134
194. Development of a hybrid algorithm for the simultaneous retrieval of aerosol optical thickness and fine-mode fraction from multispectral satellite observation combining radiative transfer and transfer learning approaches C. Tang et al. https://doi.org/10.1016/j.rse.2025.114619
195. Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. https://doi.org/10.1175/JCLI-D-19-0669.1
196. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. https://doi.org/10.5194/acp-22-14657-2022
197. Credibility and statistical characteristics of CAMSRA and MERRA-2 AOD reanalysis products over the Sichuan Basin during 2003–2018 H. Liu et al. https://doi.org/10.1016/j.atmosenv.2020.117980
198. A Linkage Between Aerosol Optical Depth (AOD) and Meteorological Drought over the Eastern Gangetic Plain of India P. Parth Sarthi et al. https://doi.org/10.1007/s41810-021-00113-6
199. Black carbon aerosols over urban and high altitude remote regions: Characteristics and radiative implications T. Rajesh & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2018.09.023
200. Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm H. Zhang et al. https://doi.org/10.5194/amt-13-5955-2020
201. Multiparameter Aerosol Simultaneous Retrieval Combining Satellite Remote Sensing and Atmospheric Simulation Using Space-Time Transformer (STTF) Model Y. Fan et al. https://doi.org/10.1109/TGRS.2025.3538164
202. Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree W. He et al. https://doi.org/10.1016/j.chemosphere.2022.134003
203. High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM) Q. Ye et al. https://doi.org/10.5194/gmd-14-7573-2021
204. Comparison and Analysis of CALIPSO Aerosol Optical Depth and AERONET Aerosol Optical Depth Products in Asia from 2006 to 2023 Y. Zhao et al. https://doi.org/10.3390/rs16234359
205. First surface-based estimation of the aerosol indirect effect over a site in southeastern China J. Liu & Z. Li https://doi.org/10.1007/s00376-017-7106-2
206. Modeling the feedback between aerosol and boundary layer processes: a case study in Beijing, China Y. Miao et al. https://doi.org/10.1007/s11356-015-5562-8
207. 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
208. Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval X. Yan et al. https://doi.org/10.1016/j.atmosenv.2020.117362
209. Using particle swarm optimization to improve visibility-aerosol optical depth retrieval method J. Wu et al. https://doi.org/10.1038/s41612-021-00207-5
210. Implications of multiple scattering on the assessment of black carbon aerosol radiative forcing V. Nair et al. https://doi.org/10.1016/j.jqsrt.2014.06.018
211. Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. https://doi.org/10.1029/2019JD031884
212. Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al. https://doi.org/10.1109/TGRS.2021.3138085
213. Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health Y. Tian et al. https://doi.org/10.3389/fpubh.2023.1270033
214. Aerosol optical depth trends over different regions of India S. Ramachandran et al. https://doi.org/10.1016/j.atmosenv.2011.11.017
215. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. https://doi.org/10.1021/acs.est.0c01764
216. Variability of aerosol properties over Eastern Europe observed from ground and satellites in the period from 2003 to 2011 A. Bovchaliuk et al. https://doi.org/10.5194/acp-13-6587-2013
217. Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite L. Li et al. https://doi.org/10.1029/2020JD032665
218. Modelling and Analysis of Aerosol and Cloud-Precipitable Water Inter-Hemispheric Interactions of Aerosol-Satellite Data Using Ground Observation C. Anoruo https://doi.org/10.1007/s41810-020-00078-y
219. The Black Array of Broadband Absolute Radiometers Earth Radiation Imager: Science Requirements, Instrument Design, and Concept of Operations O. Coddington et al. https://doi.org/10.1007/s00376-025-5049-6
220. Trends in aerosol optical properties over South Asia R. Srivastava https://doi.org/10.1002/joc.4710
221. Spatiotemporal analysis of sand and dust emission point sources detected from satellite imagery in Syria, Jordan, and Iraq R. Al Zubi et al. https://doi.org/10.1016/j.scitotenv.2024.175157
222. Long-term trends in global land aerosol optical depth and teleconnection with sea surface temperature during 2000–2023 Y. Ding et al. https://doi.org/10.1016/j.atmosres.2025.108496
223. Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine J. Wei et al. https://doi.org/10.1016/j.rse.2024.114404
224. An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai S. Kabir et al. https://doi.org/10.1016/j.eswa.2022.117905
225. Evaluating the Performance of MODIS and MERRA-2 AOD Retrievals Using AERONET Observations in the Dust Belt Region A. Samman & M. Butt https://doi.org/10.3390/earth6040115
226. Derivation of tropospheric aerosol properties from satellite observations D. Tanré https://doi.org/10.1016/j.crte.2010.02.003
227. Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia K. Lee https://doi.org/10.5572/ajae.2018.12.3.193
228. Bayesian Geostatistics Using Predictive Stacking L. Zhang et al. https://doi.org/10.1080/01621459.2025.2566449
229. Review of aerosol optical depth retrieval using visibility data S. Zhang et al. https://doi.org/10.1016/j.earscirev.2019.102986
230. Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia Z. ul-Haq et al. https://doi.org/10.1007/s00703-016-0485-6
231. 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
232. Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. https://doi.org/10.3390/rs14153697
233. An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: Application and validation in Asia X. Yan et al. https://doi.org/10.1016/j.rse.2018.12.012
234. Evaluation of the hourly ERA5 radiation product and its relationship with aerosols over China Z. Li et al. https://doi.org/10.1016/j.atmosres.2023.106941
235. Uncertainty Evaluation of an In-Flight Absolute Radiometric Calibration Using a Statistical Monte Carlo Method W. Chen et al. https://doi.org/10.1109/TGRS.2014.2366779
236. Suomi‐NPP VIIRS aerosol algorithms and data products J. Jackson et al. https://doi.org/10.1002/2013JD020449
237. Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees J. Wei et al. https://doi.org/10.5194/acp-20-3273-2020
238. Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. https://doi.org/10.1016/j.rse.2023.113878
239. Satellite based remote sensing of weather and climate: recent achievements and future perspectives B. Thies & J. Bendix https://doi.org/10.1002/met.288
240. Radiative forcing in the ACCMIP historical and future climate simulations D. Shindell et al. https://doi.org/10.5194/acp-13-2939-2013
241. Atmospheric aerosol radiative forcing over a semi-continental location Tripura in North-East India: Model results and ground observations P. Dhar et al. https://doi.org/10.1016/j.scitotenv.2016.11.200
242. Evaluation of MODIS C6 and C6.1 Dark Target AOD products over Turkey based on NDVI and aerosol type G. Tuna Tuygun et al. https://doi.org/10.1016/j.apr.2020.07.003
243. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. https://doi.org/10.1016/j.atmosenv.2020.117768
244. Can Air Quality Data Predict Stunting Prevalence? G. Perdananugraha et al. https://doi.org/10.1007/s44408-026-00104-7
245. A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China J. Wei et al. https://doi.org/10.1109/TGRS.2019.2892813
246. Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. https://doi.org/10.5194/amt-7-1185-2014
247. A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products J. Zhang & J. Reid https://doi.org/10.5194/acp-10-10949-2010
248. The influence of dust on extreme precipitation at a large city in North China T. Feng et al. https://doi.org/10.1016/j.scitotenv.2023.165890
249. A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces M. Bilal et al. https://doi.org/10.1016/j.rse.2013.04.014
250. Access, Visualization, and Interoperability of Air Quality Remote Sensing Data Sets via the Giovanni Online Tool A. Prados et al. https://doi.org/10.1109/JSTARS.2010.2047940
251. Retrieval of aerosol optical depth in the visible range with a Brewer spectrophotometer in Athens H. Diémoz et al. https://doi.org/10.5194/amt-9-1871-2016
252. Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. https://doi.org/10.3390/atmos14081266
253. Evaluation of sun glint models using MODIS measurements H. Zhang & M. Wang https://doi.org/10.1016/j.jqsrt.2009.10.001
254. Aerosol and monsoon climate interactions over Asia Z. Li et al. https://doi.org/10.1002/2015RG000500