1572 citations as recorded by crossref.

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20. An Estimation Method for PM2.5 Based on Aerosol Optical Depth Obtained from Remote Sensing Image Processing and Meteorological Factors J. Gu et al. 10.3390/rs14071617
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28. Visibility, aerosol optical depth, and low-visibility events in Bangkok during the dry season and associated local weather and synoptic patterns N. Aman et al. 10.1007/s10661-022-09880-2
29. Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China L. Dong et al. 10.1016/j.atmosenv.2022.118969
30. First retrieval of daily 160 m aerosol optical depth over urban areas using Gaofen-1/6 synergistic observations: Algorithm development and validation J. Dong et al. 10.1016/j.isprsjprs.2024.04.020
31. Investigations of MODIS AOD and cloud properties with CERES sensor based net cloud radiative effect and a NOAA HYSPLIT Model over Bangladesh for the period 2001–2016 M. Ali et al. 10.1016/j.atmosres.2018.09.001
32. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China X. Tian et al. 10.3390/rs10122021
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34. Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products A. Jia et al. 10.1029/2021JD035987
35. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
36. An Analysis of Environmental Effect on VIIRS Nighttime Light Monthly Composite Data at Multiple Scales in China M. Yuan et al. 10.1109/JSTARS.2022.3231960
37. Estimates of the aerosol indirect effect over the Baltic Sea region derived from 12 years of MODIS observations G. Saponaro et al. 10.5194/acp-17-3133-2017
38. Large Air Quality and Public Health Impacts due to Amazonian Deforestation Fires in 2019 E. Butt et al. 10.1029/2021GH000429
39. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
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41. Extreme dust storm over the eastern Mediterranean in September 2015: satellite, lidar, and surface observations in the Cyprus region R. Mamouri et al. 10.5194/acp-16-13711-2016
42. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
43. Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
44. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
45. City-level variations in aerosol optical properties and aerosol type identification derived from long-term MODIS/Aqua observations in the Sichuan Basin, China H. Cai et al. 10.1016/j.uclim.2021.100886
46. Dust Impacts of Rapid Agricultural Expansion on the Great Plains A. Lambert et al. 10.1029/2020GL090347
47. Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. 10.5194/amt-12-1251-2019
48. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. 10.1029/2022JD038384
49. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
50. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
51. Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. 10.1016/j.scitotenv.2022.159117
52. Source profiling of air pollution and its association with acute respiratory infections in the Himalayan-bound region of India M. Wani et al. 10.1007/s11356-021-15413-0
53. Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product H. Ștefănie et al. 10.3390/rs15123072
54. Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia J. Nichol & M. Bilal 10.3390/rs8040328
55. Characterization of temporal and spatial variability of aerosols from ground-based climatology: towards evaluation of satellite mission requirements C. Chen et al. 10.1016/j.jqsrt.2021.107627
56. Variability of surface solar radiation under clear skies over Qinghai-Tibet Plateau: Role of aerosols and water vapor L. Yu et al. 10.1016/j.atmosenv.2022.119286
57. Lidar Profiling of Aerosol Vertical Distribution in the Urbanized French Alpine Valley of Annecy and Impact of a Saharan Dust Transport Event P. Chazette & J. Totems 10.3390/rs15041070
58. Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison M. Tao et al. 10.1002/2017JD026976
59. Pre-seismic anomalies from optical satellite observations: a review Z. Jiao et al. 10.5194/nhess-18-1013-2018
60. Status update: is smoke on your mind? Using social media to assess smoke exposure B. Ford et al. 10.5194/acp-17-7541-2017
61. Satellite observations of smoke–cloud–radiation interactions over the Amazon rainforest R. Herbert & P. Stier 10.5194/acp-23-4595-2023
62. Aerosol Distributions and Transport over Southern Morocco from Ground-Based and Satellite Observations (2004–2020) T. Millet et al. 10.3390/atmos13060923
63. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
64. Impact of biomass burning on regional aerosol optical properties: A case study over northern India D. Shaik et al. 10.1016/j.jenvman.2019.04.025
65. Cold-season atmospheric conditions associated with sudden changes in PM10 concentration over Seoul, Korea M. Cho et al. 10.1016/j.apr.2021.03.004
66. Ocean flux of salt, sulfate, and organic components to atmospheric aerosol L. Russell et al. 10.1016/j.earscirev.2023.104364
67. Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
68. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
69. Generation of typical meteorological years for 33 locations in Greece: adaptation to the needs of various applications H. Kambezidis et al. 10.1007/s00704-020-03264-7
70. A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method M. Tao et al. 10.1016/j.rse.2023.113763
71. Vertical Distribution and Transport of Aerosols during a Dust Event in Xinjiang, Northwest China M. Xu et al. 10.1007/s13351-023-2148-0
72. Aerosol Retrieval Algorithm for Sentinel-2 Images Over Complex Urban Areas Y. Yang et al. 10.1109/TGRS.2022.3158061
73. Detectability of the potential climate change effect on transboundary air pollution pathways in the downwind area of China Y. Cai et al. 10.1016/j.scitotenv.2024.173490
74. Evaluating VIIRS EPS Aerosol Optical Depth in China: An intercomparison against ground-based measurements and MODIS C. Li et al. 10.1016/j.jqsrt.2018.12.002
75. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
76. Impact of atmospheric anthropogenic nitrogen on new production in the northern Indian Ocean: constrained based on satellite aerosol optical depth and particulate nitrogen levels V. Sarma et al. 10.1039/D2EM00234E
77. Temporal coherence in particulate matter in East Asian outflow regions: fingerprints of ENSO and Asian dust M. Kueh et al. 10.1038/s41612-023-00530-z
78. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution A. Hossein Mardi et al. 10.1016/j.scitotenv.2018.03.148
79. Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season W. Lassman et al. 10.1029/2022JD037062
80. Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models S. Park et al. 10.1016/j.scitotenv.2020.136516
81. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
82. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. 10.5194/acp-24-6275-2024
83. Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. 10.5194/acp-19-12687-2019
84. Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
85. Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations L. She et al. 10.3390/rs12244125
86. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. 10.5194/acp-21-87-2021
87. Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions J. Ruiz-Arias et al. 10.1016/j.solener.2016.06.017
88. Evaluating temporal and spatial variability and trend of aerosol optical depth (550 nm) over Iran using data from MODIS on board the Terra and Aqua satellites A. Dadashi-Roudbari & M. Ahmadi 10.1007/s12517-020-5232-0
89. Carbonaceous aerosols remote sensing from geostationary satellite observation, Part I: Algorithm development using critical reflectance F. Bao et al. 10.1016/j.rse.2023.113459
90. A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X. Yan et al. 10.1016/j.atmosres.2018.02.021
91. Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product M. Filonchyk et al. 10.1007/s00704-018-2737-5
92. On the signature of the cirrus twilight zone U. Wollner et al. 10.1088/1748-9326/9/9/094010
93. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
94. Evaluation of radiometric performance of MODIS visible bands using the Rayleigh scattering method S. Zhu et al. 10.1117/1.JRS.13.018503
95. Using Copernicus Atmosphere Monitoring Service Products to Constrain the Aerosol Type in the Atmospheric Correction Processor MAJA B. Rouquié et al. 10.3390/rs9121230
96. PM2.5 surface concentrations in southern West African urban areas based on sun photometer and satellite observations J. Léon et al. 10.5194/acp-21-1815-2021
97. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
98. Türkiye’de Terra ve Aqua MODIS Uydularından Elde Edilen Aerosol Optik Derinliğinin Zamansal ve Mekansal Değişimi S. KARSLIOĞLU et al. 10.21205/deufmd.2022247027
99. Assessment of the aerosol optical depths measured by satellite-based passive remote sensors in the Alberta oil sands region C. Sioris et al. 10.5194/acp-17-1931-2017
100. Validation of OMI seasonal and spatio-temporal variations in aerosol-cloud interactions over Banizoumbou using AERONET data C. Anoruo 10.1016/j.jastp.2020.105457
101. An end-to-end calibration of the Mini-EUSO detector in space M. Battisti et al. 10.1016/j.astropartphys.2024.103057
102. Satellite record of the transition of air quality over China L. Chen et al. 10.1080/20964471.2018.1514818
103. An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image T. Wang et al. 10.1016/j.rse.2021.112412
104. Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
105. Present‐Day Patagonian Dust Emissions: Combining Surface Visibility, Mass Flux, and Reanalysis Data N. Cosentino et al. 10.1029/2020JD034459
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107. Simultaneous Use of Ground-Based and Satellite Observation to Evaluate Atmospheric Air Pollution over Amman, Jordan H. Panahifar et al. 10.3390/atmos14020274
108. Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. 10.5194/gmd-13-1179-2020
109. Trends in physical, optical and chemical columnar aerosol characteristics and radiative effects over South and East Asia: Satellite and ground-based observations S. Ramachandran & M. Rupakheti 10.1016/j.gr.2021.09.016
110. A new generation aerosol optical depth dataset based on AVHRR data over China from 1981 to 2000 Y. Che et al. 10.1016/j.rse.2025.114899
111. Long-term change in aerosol characteristics over Indo-Gangetic Basin: How significant is the impact of emerging anthropogenic activities? S. Kumar et al. 10.1016/j.uclim.2021.100880
112. Impacts of irregular and strategic lockdown on air quality over Indo-Pak Subcontinent: Pre-to-post COVID-19 analysis F. Saleem et al. 10.1016/j.chaos.2023.114255
113. Aerosols heat up the Himalayan climate S. Ramachandran et al. 10.1016/j.scitotenv.2023.164733
114. An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al. 10.1051/e3sconf/202457501008
115. Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. 10.3390/rs13153027
116. Aerosol–Cloud–Meteorology Interaction Airborne Field Investigations: Using Lessons Learned from the U.S. West Coast in the Design of ACTIVATE off the U.S. East Coast A. Sorooshian et al. 10.1175/BAMS-D-18-0100.1
117. Retrieval of 500 m Aerosol Optical Depths from MODIS Measurements over Urban Surfaces under Heavy Aerosol Loading Conditions in Winter S. Jin et al. 10.3390/rs11192218
118. Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data K. Chang et al. 10.1088/1748-9326/11/8/085002
119. Residential energy use emissions dominate health impacts from exposure to ambient particulate matter in India L. Conibear et al. 10.1038/s41467-018-02986-7
120. Response of enhanced vegetation index changes to latent/sensible heat flux and precipitation over Pakistan using remote sensing S. Tariq et al. 10.1007/s11356-022-20391-y
121. Estimating hourly full-coverage PM2.5 over China based on TOA reflectance data from the Fengyun-4A satellite F. Mao et al. 10.1016/j.envpol.2020.116119
122. A Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data L. She et al. 10.3390/rs14061411
123. Changes in Earth’s Energy Budget during and after the “Pause” in Global Warming: An Observational Perspective N. Loeb et al. 10.3390/cli6030062
124. Validation of Himawari-8 aerosol optical depth retrievals over China Z. Zhang et al. 10.1016/j.atmosenv.2018.11.024
125. Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models R. Baró et al. 10.5194/acp-17-9677-2017
126. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
127. Studying the Impact on Urban Health over the Greater Delta Region in Egypt Due to Aerosol Variability Using Optical Characteristics from Satellite Observations and Ground-Based AERONET Measurements W. Li et al. 10.3390/rs11171998
128. Simulation of aerosol deposition flux over the Arabian Peninsula with CHIMERE-2017: Sensitivity to different dry deposition schemes S. Beegum et al. 10.1016/j.atmosres.2020.104949
129. Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing–Jin–Ji Region Z. Wang et al. 10.3390/rs17081415
130. Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models X. Tian et al. 10.1109/TGRS.2020.3048109
131. 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. 10.3390/rs15010275
132. Retrieval of Horizontal Visibility Using MODIS Data: A Deep Learning Approach B. Hu et al. 10.3390/atmos10120740
133. Global evaluation of NOAA-20 VIIRS dark target aerosol products over land and ocean X. Pei et al. 10.1016/j.atmosenv.2024.120949
134. Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model Y. Chi et al. 10.3390/rs12223786
135. Influence of aerosols on clouds, precipitation and freezing level height over the foothills of the Himalayas during the Indian summer monsoon P. Adhikari & J. Mejia 10.1007/s00382-021-05710-2
136. Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET H. Che et al. 10.1016/j.chemosphere.2019.06.238
137. Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model T. Jiang et al. 10.1016/j.atmosres.2020.105146
138. A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al. 10.5194/acp-22-5071-2022
139. Retrieval of Atmospheric Aerosol Optical Depth From AVHRR Over Land With Global Coverage Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2021.3129853
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142. Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
143. Accounting for the aerosol type and additional satellite-borne aerosol products improves the prediction of PM2.5 concentrations S. Falah et al. 10.1016/j.envpol.2023.121119
144. Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product S. Go et al. 10.3390/rs12233987
145. Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
146. High-resolution estimation of PM2.5 concentrations across China using multiple machine learning approaches and model fusion L. Meng et al. 10.1016/j.apr.2024.102110
147. Interdecadal Changes in Aerosol Optical Depth over Pakistan Based on the MERRA-2 Reanalysis Data during 1980–2018 R. Khan et al. 10.3390/rs13040822
148. Influence of smoke aerosols on low-level clouds over the Indian region during winter A. Sarkar et al. 10.1016/j.atmosres.2022.106358
149. Increase in carbon monoxide (CO) and aerosol optical depth (AOD) observed by satellites in the Northern Hemisphere over the summers of 2008–2023, linked to an increase in wildfires A. Ehret et al. 10.5194/acp-25-6365-2025
150. On the cause-and-effect relations between aerosols, water vapor, and clouds over East Asia S. Stathopoulos et al. 10.1007/s00704-021-03563-7
151. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
152. Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems X. Deng et al. 10.1364/OE.524152
153. Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors J. Principe & W. Takeuchi 10.1063/1.5059335
154. Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties T. Fan et al. 10.1007/s00376-021-1119-6
155. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
156. Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements S. Kazadzis et al. 10.5194/acp-18-3185-2018
157. Spatio-temporal correspondence of aerosol optical depth between CMIP6 simulations and MODIS retrievals over India B. Jaisankar et al. 10.1007/s11356-024-32314-0
158. AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season T. Eck et al. 10.1029/2018JD030182
159. A novel simplified method for surface albedo together with a look-up table to get an 18-year assessment of surface aerosol direct radiative effect in Central and East China Y. Shi et al. 10.1016/j.atmosenv.2020.117858
160. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. 10.1002/2017JD027643
161. Improved Himawari-8 10-minute scale aerosol optical depth product using deep neural network over Japan Y. Tan et al. 10.1016/j.apr.2023.102005
162. Satellite data to support air quality assessment and management T. Holloway et al. 10.1080/10962247.2025.2484153
163. Reduction of surface radiative forcing observed from remote sensing data during global COVID-19 lockdown U. Mazhar et al. 10.1016/j.atmosres.2021.105729
164. In-flight radiometric and polarimetric calibration of the Directional Polarimetric Camera onboard the GaoFen-5 satellite over the ocean L. Qie et al. 10.1364/AO.422980
165. Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
166. Bayesian Aerosol Retrieval-Based PM2.5 Estimation through Hierarchical Gaussian Process Models J. Zhang et al. 10.3390/math10162878
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952. Employing relaxed smoothness constraints on imaginary part of refractive index in AERONET aerosol retrieval algorithm A. Sinyuk et al. 10.5194/amt-15-4135-2022
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959. Air pollution inputs to the Mojave Desert by fusing surface mobile and airborne in situ and airborne and satellite remote sensing: A case study of interbasin transport with numerical model validation I. Leifer et al. 10.1016/j.atmosenv.2019.117184
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981. Characteristics of Ethiopia Air Chemistry and Its Meteorological Context M. Jury 10.1175/EI-D-17-0009.1
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987. Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. 10.5194/acp-20-13145-2020
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999. Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements P. Kosmopoulos et al. 10.5194/amt-10-2435-2017
1000. Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. 10.1016/j.atmosenv.2023.120019
1001. Dust Activities Induced by Nocturnal Low‐Level Jet Over the Taklimakan Desert From WRF‐Chem Simulation Z. Han et al. 10.1029/2021JD036114
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1339. The health impacts of Indonesian peatland fires L. Hein et al. 10.1186/s12940-022-00872-w
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1342. Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP) S. Shrestha et al. 10.3390/atmos9100405
1343. Estimation of PM_2.5 Concentrations over Beijing with MODIS AODs Using an Artificial Neural Network H. Lyu et al. 10.2151/sola.2018-003
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1345. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 2. Bias Correction With Satellite Data for Rural Areas H. Zhang et al. 10.1029/2021JD035563
1346. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm Y. Wang et al. 10.3390/rs9040397
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1348. Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar Z. Wang et al. 10.3390/rs13163326
1349. A theoretical study of the effect of subsurface oceanic bubbles on the enhanced aerosol optical depth band over the southern oceans as detected from MODIS and MISR M. Christensen et al. 10.5194/amt-8-2149-2015
1350. Assessment of dominating aerosol properties and their long-term trend in the Pan-Third Pole region: A study with 10-year multi-sensor measurements T. Wang et al. 10.1016/j.atmosenv.2020.117738
1351. Development of an infrared pollution index to identify ground-level compositional, particle size, and humidity changes using Himawari-8 M. Sowden et al. 10.1016/j.atmosenv.2020.117435
1352. Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al. 10.5194/amt-17-2739-2024
1353. Aerosol Optical Depth Over India L. David et al. 10.1002/2017JD027719
1354. Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. 10.5194/acp-22-3553-2022
1355. Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
1356. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond 10.1016/j.atmosenv.2021.118832
1357. Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS D. Fu et al. 10.1016/j.atmosenv.2022.119080
1358. A simplified aerosol retrieval algorithm for Himawari-8 Advanced Himawari Imager over Beijing Z. Zhang et al. 10.1016/j.atmosenv.2018.11.023
1359. Development of an aerosol optical depth retrieval algorithm based on an improved scattering angle scheme for Advanced Himawari Imager observations J. Jin et al. 10.1016/j.atmosres.2025.107944
1360. Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research J. le Roux et al. 10.3390/rs13152981
1361. Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images L. Sun et al. 10.3390/rs8010023
1362. Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties S. Shi et al. 10.1109/TGRS.2018.2835508
1363. Climatology of aerosol optical depth over Eastern Europe based on 19 years (2000–2018) MODIS TERRA data M. Filonchyk et al. 10.1002/joc.6412
1364. High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS P. Gupta et al. 10.3390/rs12172847
1365. Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions P. Gupta et al. 10.5194/amt-11-3145-2018
1366. Evaluating the potential for application of MODIS satellite data for urban air quality monitoring in Vietnam B. Hieu et al. 10.1088/1757-899X/869/2/022035
1367. Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran M. Foroushani et al. 10.1007/s40333-020-0079-5
1368. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
1369. Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product E. Zhdanova et al. 10.5194/amt-13-877-2020
1370. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
1371. The observational evidence of association between types of aerosol mode-cloud-precipitation interaction over Iran M. Rezaei et al. 10.1016/j.apr.2023.101760
1372. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China A. Fan et al. 10.3390/rs9121269
1373. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
1374. Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021 M. Rahman et al. 10.3390/rs15205069
1375. Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications P. deSouza et al. 10.5194/amt-13-5319-2020
1376. Satellite Remote Sensing for Estimating PM2.5 and Its Components Y. Li et al. 10.1007/s40726-020-00170-4
1377. Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder L. Liang et al. 10.1038/s41597-023-02696-w
1378. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
1379. Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis S. Falah et al. 10.1016/j.atmosenv.2021.118659
1380. Estimation of daily photosynthetically active radiation (PAR) in presence of low to high aerosol loads: application to OLCI-like satellite data T. Harmel & M. Chami 10.1364/OE.24.0A1390
1381. Change in precipitation pattern over South Asia in response to the trends in regional warming and free-tropospheric aerosol loading S. Jana et al. 10.1038/s41598-024-64842-7
1382. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China? M. Tao et al. 10.3390/rs9080800
1383. Investigating the relationship between aerosol and cloud optical properties inferred from the MODIS sensor in recent decades over East China J. Huang et al. 10.1016/j.atmosenv.2020.117812
1384. Aerosol Optical Depth Retrieval Over Land from Particulate Observing Scanning Polarimeter (POSP) Using a New Look-Up Table (LUT) Method Z. Ji et al. 10.1007/s41810-024-00236-6
1385. Microphysics and Radiation Effect of Dust on Saharan Air Layer: An HS3 Case Study Z. Tao et al. 10.1175/MWR-D-17-0279.1
1386. Aerosol Optical Depth from MODIS satellite data above the Pierre Auger Observatory N. Borodai et al. 10.1051/epjconf/201919702011
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1388. Exploring the effect of waterbodies coupled with other environmental parameters to model PM2.5 over Delhi-NCT in northwest India B. Gayen et al. 10.1016/j.apr.2022.101614
1389. Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine J. Wei et al. 10.1016/j.rse.2024.114404
1390. Particulate matter variability in Kathmandu based on in-situ measurements, remote sensing, and reanalysis data S. Becker et al. 10.1016/j.atmosres.2021.105623
1391. Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
1392. Characterisation of dust aerosols and their absorbing efficiency over South Asia using infrared observations from INSAT-3D Imager C. Lima et al. 10.1080/01431161.2024.2431176
1393. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
1394. Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
1395. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain J. Zhu et al. 10.3390/rs9050432
1396. Spatial and temporal variability in dust storms in the Middle East, 2002–2018: three case studies in July 2009 N. Hamzeh et al. 10.1007/s12517-021-06859-0
1397. Assimilation of INSAT-3D imager retrieved aerosol optical depth for enhanced dust storm prediction using WRF-Chem model A. Khan et al. 10.1088/2515-7620/ad9712
1398. Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques H. Cămărășan et al. 10.3390/atmos16060743
1399. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
1400. Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation M. Grzegorski et al. 10.3390/rs14010085
1401. Satellite-Based Spatiotemporal Trends in PM 2.5 Concentrations: China, 2004–2013 Z. Ma et al. 10.1289/ehp.1409481
1402. Improved simulations of biomass burning aerosol optical properties and lifetimes in the NASA GEOS Model during the ORACLES-I campaign S. Das et al. 10.5194/acp-24-4421-2024
1403. Investigating the frequency and interannual variability in global above-cloud aerosol characteristics with CALIOP and OMI R. Alfaro-Contreras et al. 10.5194/acp-16-47-2016
1404. Satellite-Derived Correlation of SO2, NO2, and Aerosol Optical Depth with Meteorological Conditions over East Asia from 2005 to 2015 C. Lin et al. 10.3390/rs11151738
1405. Simultaneous Monitoring of Wildfire and Smoke Using Geostationary Satellite Infrared Channel Observations K. Lee et al. 10.5572/KOSAE.2024.40.3.337
1406. Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation Y. Wang et al. 10.1016/j.isprsjprs.2019.08.017
1407. On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties V. Arya et al. 10.1007/s12040-020-01526-6
1408. Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay Y. Xie et al. 10.1109/TGRS.2023.3304129
1409. Mapping PM2.5 concentration from the top-of-atmosphere reflectance of Himawari-8 via an ensemble stacking model X. Chen et al. 10.1016/j.atmosenv.2024.120560
1410. The Global Atmosphere‐aerosol Model ICON‐A‐HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness M. Salzmann et al. 10.1029/2021MS002699
1411. Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
1412. Dust emission and transport in Northwest China: WRF-Chem simulation and comparisons with multi-sensor observations J. Zhao et al. 10.1016/j.atmosres.2020.104978
1413. Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment M. Luffarelli et al. 10.3390/rs15215109
1414. Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
1415. Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
1416. Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
1417. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
1418. Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
1419. Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. 10.1029/2022JD037417
1420. Results From the Deep Convective Clouds-Based Response Versus Scan-Angle Characterization for the MODIS Reflective Solar Bands A. Angal et al. 10.1109/TGRS.2017.2759660
1421. Estimation of Net Surface Shortwave Radiation From Remotely Sensed Data Under Dust Aerosol Conditions Y. Sun & B. Tang 10.1109/ACCESS.2021.3069791
1422. Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model P. Kim et al. 10.5194/acp-15-10411-2015
1423. Clouds and the Earth’s Radiant Energy System (CERES) Cloud Radiative Swath (CRS) Edition 4 Data Product R. Scott et al. 10.1175/JTECH-D-22-0021.1
1424. Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region M. Ahmad et al. 10.1016/j.scitotenv.2019.134356
1425. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
1426. A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data Z. Ma et al. 10.1016/j.rse.2021.112827
1427. Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum J. Zhang et al. 10.5194/gmd-14-27-2021
1428. Impacts of dust aerosol and adjacency effects on the accuracy of Landsat 8 and RapidEye surface reflectances R. Houborg & M. McCabe 10.1016/j.rse.2017.03.013
1429. Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America H. Jethva et al. 10.5194/amt-12-4291-2019
1430. Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. 10.1016/j.isprsjprs.2024.06.022
1431. Two decades of high-resolution aerosol product over the Sierra Nevada Mountain region (SE Spain): Spatio-temporal distribution and impact on ecosystems A. del Águila et al. 10.1016/j.atmosres.2024.107515
1432. Investigation on spatiotemporal distribution of aerosol optical properties over two oceanic regions surrounding Indian subcontinent during summer monsoon season C. Vachaspati et al. 10.1007/s11356-018-2682-y
1433. Lower tropospheric ozone over the North China Plain: variability and trends revealed by IASI satellite observations for 2008–2016 G. Dufour et al. 10.5194/acp-18-16439-2018
1434. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
1435. Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar A. de Oliveira et al. 10.3390/atmos10100594
1436. Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. 10.1126/sciadv.ado0885
1437. Seasonal evolution of aerosol loading and its vertical distribution in northeastern China from long-term satellite observations and model reanalysis H. Zhao et al. 10.1016/j.atmosenv.2023.119720
1438. Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
1439. Analysis and Validation of the Aerosol Optical Depth of MODIS Products in Gansu Province, Northwest China F. Huang et al. 10.3390/rs15122972
1440. Impact of California Fires on Local and Regional Air Quality: The Role of a Low‐Cost Sensor Network and Satellite Observations P. Gupta et al. 10.1029/2018GH000136
1441. Evaluating the consistency between Sentinel-2 and Planet constellations at field scale: illustration over winter wheat Y. Ma et al. 10.1007/s11119-025-10226-4
1442. Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S. X. Ye et al. 10.3390/rs14236113
1443. Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8 Y. Xie et al. 10.1109/TGRS.2019.2944949
1444. Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia S. Park et al. 10.1016/j.atmosenv.2023.119916
1445. Spatial downscaling of surface ozone concentration calculation from remotely sensed data based on mutual information X. Wang et al. 10.3389/fenvs.2022.925979
1446. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
1447. The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj 10.3389/feart.2021.727169
1448. PM2.5 mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models H. Chu & M. Bilal 10.1007/s11356-018-3763-7
1449. Long-term study of desert dust deposition effects on phytoplankton biomass in the Persian Gulf using Google Earth Engine H. Asgari & A. Soleimany 10.1016/j.marpolbul.2023.115564
1450. Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016 B. Pan et al. 10.1016/j.atmosenv.2020.118082
1451. An Ensemble Machine-Learning Model To Predict Historical PM2.5Concentrations in China from Satellite Data Q. Xiao et al. 10.1021/acs.est.8b02917
1452. The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean S. Gassó & O. Torres 10.5194/amt-9-3031-2016
1453. High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images H. Lin et al. 10.1016/j.atmosenv.2021.118591
1454. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM2.5 concentrations in Taiwan from 2005 to 2015 C. Jung et al. 10.1016/j.envpol.2017.11.016
1455. A study of 15-year aerosol optical thickness and direct shortwave aerosol radiative effect trends using MODIS, MISR, CALIOP and CERES R. Alfaro-Contreras et al. 10.5194/acp-17-13849-2017
1456. Improving aerosol retrieval from FY-3D/MERSI by parameterizing a binary quadratic spectral surface reflectance model with urban percentage and vegetation index W. Ji et al. 10.1016/j.atmosres.2025.108291
1457. Large contrast in the vertical distribution of aerosol optical properties and radiative effects across the Indo-Gangetic Plain during the SWAAMI–RAWEX campaign A. Vaishya et al. 10.5194/acp-18-17669-2018
1458. Can We Detect the Brownness or Greenness of the Congo Rainforest Using Satellite-Derived Surface Albedo? A Study on the Role of Aerosol Uncertainties S. Moparthy et al. 10.3390/su11051410
1459. MISR empirical stray light corrections in high-contrast scenes J. Limbacher & R. Kahn 10.5194/amt-8-2927-2015
1460. Top-of-atmosphere hyper and multispectral signatures of submerged plastic litter with changing water clarity and depth S. Garaba & T. Harmel 10.1364/OE.451415
1461. A New Chemistry-Climate Model GRIMs-CCM: Model Evaluation of Interactive Chemistry-Meteorology Simulations S. Lee et al. 10.1007/s13143-022-00281-6
1462. Impact of mineral dust photocatalytic heterogeneous chemistry on the formation of the sulfate and nitrate: A modelling study over East Asia X. Li et al. 10.1016/j.atmosenv.2023.120166
1463. In-Flight Relative Radiometric Calibration of a Wide Field of View Directional Polarimetric Camera Based on the Rayleigh Scattering over Ocean S. Zhu et al. 10.3390/rs14051211
1464. Terra and Aqua MODIS TEB intercomparison using Himawari-8/AHI as reference T. Chang et al. 10.1117/1.JRS.13.017501
1465. Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol‐cloud interactions J. He et al. 10.1002/2014MS000360
1466. Trends and Variability in Aerosol Optical Depth over North China from MODIS C6 Aerosol Products during 2001–2016 P. Wang et al. 10.3390/atmos8110223
1467. Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations D. Ahn et al. 10.1186/s40645-019-0277-y
1468. Spatial Variation and Relation of Aerosol Optical Depth with LULC and Spectral Indices V. Sharma et al. 10.3390/atmos13121992
1469. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. 10.1002/2015JD024729
1470. The Influences of Indian Monsoon Phases on Aerosol Distribution and Composition over India P. Khan et al. 10.3390/rs16173171
1471. Variability in air-pollutants, aerosols, and associated meteorology over peninsular India and neighboring ocean regions during COVID-19 lockdown to unlock phases A. Sarkar et al. 10.1016/j.apr.2021.101231
1472. Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
1473. Satellites See the World’s Atmosphere S. Ackerman et al. 10.1175/AMSMONOGRAPHS-D-18-0009.1
1474. Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. 10.3390/rs10040573
1475. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation L. She et al. 10.3390/rs10040490
1476. Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin S. Karami et al. 10.1016/j.aeolia.2021.100679
1477. Multiconstituent Data Assimilation With WRF‐Chem/DART: Potential for Adjusting Anthropogenic Emissions and Improving Air Quality Forecasts Over Eastern China C. Ma et al. 10.1029/2019JD030421
1478. Transport of aerosols over the French Riviera – link between ground-based lidar and spaceborne observations P. Chazette et al. 10.5194/acp-19-3885-2019
1479. Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends P. Colarco et al. 10.5194/amt-7-2313-2014
1480. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
1481. Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data X. Ceamanos et al. 10.5194/amt-16-2575-2023
1482. April 2008 Saharan dust event: Its contribution to PM10 concentrations over the Anatolian Peninsula and relation with synoptic conditions B. Kabatas et al. 10.1016/j.scitotenv.2018.03.150
1483. Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF S. Rémy et al. 10.5194/gmd-15-4881-2022
1484. Evaluating Aerosol Optical Depth From Himawari‐8 With Sun Photometer Network W. Wang et al. 10.1029/2018JD028599
1485. Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness K. YUMIMOTO et al. 10.2151/jmsj.2018-035
1486. Urban PM2.5 concentration monitoring: A review of recent advances in ground-based, satellite, model, and machine learning integration S. Lolli 10.1016/j.uclim.2025.102566
1487. Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea W. Li et al. 10.3390/rs9080778
1488. Impact of Assimilating GEMS Aerosol Optical Depth on Asian Dust Storm Prediction: Comparative Assessment with MODIS Observation E. Lee et al. 10.1007/s13143-025-00407-6
1489. Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020 X. Lu et al. 10.1016/j.rse.2022.113238
1490. Decadal variations in natural and anthropogenic aerosol optical depth over the Bay of Bengal: the influence of pollutants from Indo-GangeticPlain K. Yadav et al. 10.1007/s11356-021-14703-x
1491. Retrievals of aerosol layer height during dust events over the taklimakan and gobi desert S. Chen et al. 10.1016/j.jqsrt.2020.107198
1492. An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends V. Sawyer et al. 10.3389/fenvs.2025.1602145
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