1550 citations as recorded by crossref.

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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
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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
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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
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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
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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
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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
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118. 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
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125. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
126. 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
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130. 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
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135. 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
136. 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
137. 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
138. 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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143. 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
144. Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
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149. 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
150. 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
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153. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
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156. 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
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158. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. 10.1002/2017JD027643
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681. Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties H. Wang et al. 10.1029/2019EA000903
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688. Polar Cloud Detection of FengYun-3D Medium Resolution Spectral Imager II Imagery Based on the Radiative Transfer Model S. Dong et al. 10.3390/rs15215221
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692. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. 10.1007/s00703-020-00760-3
693. Impacts of climate and synoptic fluctuations on dust storm activity over the Middle East S. Namdari et al. 10.1016/j.atmosenv.2017.11.016
694. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? U. Dumka et al. 10.3390/rs14030549
695. Solar UV radiation measurements in Marambio, Antarctica, during years 2017–2019 M. Aun et al. 10.5194/acp-20-6037-2020
696. Assessment and Improvement of MISR Angstrom Exponent and Single-Scattering Albedo Products Using AERONET Data in China Y. Si et al. 10.3390/rs9070693
697. High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. 10.1029/2018JD028588
698. Obtaining best parameterization scheme of RegCM 4.4 for aerosols and chemistry simulations over the CORDEX South Asia P. Ajay et al. 10.1007/s00382-018-4587-3
699. The Role of the Intertropical Discontinuity Region and the Heat Low in Dust Emission and Transport Over the Thar Desert, India: A Premonsoon Case Study U. Dumka et al. 10.1029/2019JD030836
700. Using infrared geostationary remote sensing to determine particulate matter ground-level composition and concentration M. Sowden & D. Blake 10.1007/s11869-021-01061-3
701. A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations L. Mei et al. 10.1080/01431161.2019.1601279
702. Remote Sensing Surveillance of NO2, SO2, CO, and AOD along the Suez Canal Pre- and Post-COVID-19 Lockdown Periods and during the Blockage G. Gamal et al. 10.3390/su15129362
703. Surface and Atmospheric Driven Variability of the Single‐Layer Urban Canopy Model Under Clear‐Sky Conditions Over London A. Tsiringakis et al. 10.1029/2019JD032167
704. Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
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706. Examining Intrinsic Aerosol‐Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. 10.1029/2017JD028232
707. High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth Observation Satellite I F. Bao et al. 10.1109/TGRS.2016.2568246
708. Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al. 10.1007/s41748-020-00181-7
709. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. 10.5194/acp-19-2965-2019
710. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
711. In situ identification of aerosol types in Athens, Greece, based on long-term optical and on online chemical characterization D. Kaskaoutis et al. 10.1016/j.atmosenv.2020.118070
712. New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals X. Yan et al. 10.1016/j.envpol.2021.116707
713. Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter A. van Donkelaar et al. 10.1289/ehp.1408646
714. Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions J. Carmona et al. 10.3390/rs13163102
715. Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. 10.1016/j.rse.2021.112541
716. Effects of COVID-19 lockdowns on fine particulate matter concentrations M. Hammer et al. 10.1126/sciadv.abg7670
717. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. 10.3390/rs10010137
718. Opportunistic experiments to constrain aerosol effective radiative forcing M. Christensen et al. 10.5194/acp-22-641-2022
719. Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci) T. Popp et al. 10.3390/rs8050421
720. The Canadian Optimized Statistical Smoke Exposure Model (Canossem): A Machine Learning Approach to Estimate National Daily Fine Particulate Matter (Pm2.5) Exposure N. Paul et al. 10.2139/ssrn.4098551
721. The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation S. Callewaert et al. 10.5194/amt-12-3673-2019
722. Recent reductions in aerosol emissions have increased Earth’s energy imbalance Ø. Hodnebrog et al. 10.1038/s43247-024-01324-8
723. Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes A. Sayer et al. 10.5194/amt-10-1425-2017
724. Changes in the shape of cloud ice water content vertical structure due to aerosol variations S. Massie et al. 10.5194/acp-16-6091-2016
725. A comparative time series analysis and modeling of aerosols in the contiguous United States and China X. Li et al. 10.1016/j.scitotenv.2019.07.072
726. Arctic amplification–induced decline in West and South Asia dust warrants stronger antidesertification toward carbon neutrality F. Wang et al. 10.1073/pnas.2317444121
727. The impact of three recent coal-fired power plant closings on Pittsburgh air quality: A natural experiment M. Russell et al. 10.1080/10962247.2016.1170738
728. Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni 10.1016/j.rsase.2020.100412
729. Comparison of hourly aerosol retrievals from JAXA Himawari/AHI in version 3.0 and a simple customized method W. Xu et al. 10.1038/s41598-020-77948-5
730. Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020 H. Yu et al. 10.5194/acp-21-12359-2021
731. Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak C. Tang et al. 10.1016/j.scitotenv.2023.164456
732. Validation of ESA Sentinel-2 L2A Aerosol Optical Thickness and Columnar Water Vapour during 2017–2018 M. Obregón et al. 10.3390/rs11141649
733. Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land S. Jin et al. 10.1109/TGRS.2020.3021021
734. Highly anomalous fire emissions from the 2019–2020 Australian bushfires F. Li et al. 10.1088/2515-7620/ac2e6f
735. Aerosol optical depth retrieval over land from OCEANSAT-2/ OCM- 2 data – A simple physics based approach M. Mehta et al. 10.1016/j.apr.2022.101339
736. Spatial variability of aerosols over Greek archaeological sites using Space-Borne Remote Sensing A. Sakka et al. 10.1016/j.culher.2020.07.001
737. Retrieval and validation of aerosol optical depth using GF-1 WFV cameras data X. Wang et al. 10.1016/j.asr.2019.10.023
738. Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped Residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data Y. Zhang et al. 10.3390/rs10111838
739. Is the Awareness of the Aerosol State Useful in Predicting Enhanced Lightning for Lightning-Producing Storms over Northern Alabama? T. Ren et al. 10.1175/JAMC-D-17-0182.1
740. Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States H. Lee et al. 10.1021/acs.est.6b01438
741. Infusing satellite data into aerosol forecast for near real-time episode detection and diagnosis in East Asia S. Chen et al. 10.1016/j.scitotenv.2022.158797
742. Radiometric calibration and reflectivity inversion of spaceborne LiDAR X. Huang et al. 10.1364/AO.558017
743. A key study on spatial source distribution of PM2.5 based on the airflow trajectory model C. Wang et al. 10.1080/01431161.2016.1251628
744. Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018 Q. Xiao et al. 10.5194/acp-21-9475-2021
745. Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate R. Séférian et al. 10.1029/2019MS001791
746. Increased aerosol content in the atmosphere over Ukraine during summer 2010 E. Galytska et al. 10.5194/amt-11-2101-2018
747. On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths D. Josset et al. 10.1109/TGRS.2018.2796850
748. Estimating the effective spatial resolution of the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS M. Campagnolo et al. 10.1016/j.rse.2015.12.033
749. Estimation of ultrahigh resolution PM2.5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals T. Zhang et al. 10.1016/j.rse.2018.06.030
750. Model-enforced post-process correction of satellite aerosol retrievals A. Lipponen et al. 10.5194/amt-14-2981-2021
751. 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 10.1109/JSTARS.2023.3281777
752. Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China Y. Che et al. 10.1016/j.isprsjprs.2018.09.004
753. Two decades of aerosol observations by AATSR, MISR, MODIS and MERRA-2 over India and Indian Ocean J. Kuttippurath & S. Raj 10.1016/j.rse.2021.112363
754. Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals G. Tuna Tuygun & T. Elbir 10.1007/s00477-023-02459-4
755. The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM2.5 Mass and Composition J. Belle et al. 10.3390/ijerph14101244
756. A Decade of Aerosol Optical Properties Measurements over Athens, Greece I. Raptis et al. 10.3390/atmos11020154
757. Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC4RS R. Spencer et al. 10.1029/2018JD028989
758. A review of biomass burning: Emissions and impacts on air quality, health and climate in China J. Chen et al. 10.1016/j.scitotenv.2016.11.025
759. Forecasting dust impact on solar energy using remote sensing and modeling techniques A. Masoom et al. 10.1016/j.solener.2021.09.033
760. Retrieval of Aerosol Optical Depth over Arid Areas from MODIS Data X. Tian & L. Sun 10.3390/atmos7100134
761. Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis K. Lee et al. 10.1007/s44273-024-00031-2
762. Global maps of aerosol single scattering albedo using combined CERES-MODIS retrieval A. Devi & S. Satheesh 10.5194/acp-22-5365-2022
763. Long-term trends in air quality in major cities in the UK and India: a view from space K. Vohra et al. 10.5194/acp-21-6275-2021
764. Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey G. Tuna Tuygun & T. Elbir 10.1016/j.apr.2020.09.008
765. Assessment of the Coupled Model Intercomparison Project phase 6 (CMIP6) Model performance in simulating the spatial-temporal variation of aerosol optical depth over Eastern Central China X. Li et al. 10.1016/j.atmosres.2021.105747
766. Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017 H. Zhao et al. 10.1016/j.chemosphere.2019.125737
767. Long-term three-dimensional distribution and transport of Saharan dust: Observation from CALIPSO, MODIS, and reanalysis data A. Merdji et al. 10.1016/j.atmosres.2023.106658
768. Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season X. Ceamanos et al. 10.1038/s41598-023-39312-1
769. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
770. Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis M. Hilario et al. 10.1029/2020JD032614
771. Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Q. Chen et al. 10.3390/atmos11070703
772. GOCI-II geostationary satellite hourly aerosol optical depth obtained by data-driven methods: Validation and comparison Y. Fan et al. 10.1016/j.atmosenv.2023.119965
773. Estimating ground-level PM2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements Y. Zheng et al. 10.1016/j.atmosenv.2015.06.046
774. Chemically specific sampling bias: the ratio of PM2.5 to surface AOD on average and peak days in the U.S. S. Rosanka et al. 10.1039/D3EA00163F
775. Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. 10.1080/15481603.2019.1703288
776. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
777. A global perspective on CO2 satellite observations in high AOD conditions T. Virtanen et al. 10.5194/amt-18-929-2025
778. Improving the understanding between climate variability and observed extremes of global NO2 over the past 15 years W. Deng et al. 10.1088/1748-9326/abd502
779. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. 10.5194/gmd-9-671-2016
780. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
781. Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements A. Mhawish et al. 10.1016/j.rse.2022.113167
782. Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China L. Yang et al. 10.3390/rs14081935
783. Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. 10.16993/tellusb.1868
784. 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. 10.3390/rs11050486
785. Investigation of Aerosol Climatology, Optical Characteristics and Variability over Egypt Based on Satellite Observations and In-Situ Measurements I. Abou El-Magd et al. 10.3390/atmos11070714
786. Identification of dust aerosols, their sources, and the effect of soil moisture in Central Asia J. Liu et al. 10.1016/j.scitotenv.2023.161575
787. A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. 10.1016/j.rse.2023.113683
788. Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment D. Gong et al. 10.3390/su152115653
789. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
790. Preliminary Retrieval and Validation of Aerosol Optical Depths from FY-4B Advanced Geostationary Radiation Imager Images D. Zhou et al. 10.3390/rs16020372
791. Aerosol retrieval algorithm based on adaptive land–atmospheric decoupling for polarized remote sensing over land surfaces H. Wang et al. 10.1016/j.jqsrt.2018.08.011
792. National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD W. You et al. 10.3390/rs8030184
793. Trends in aerosol optical properties over Eastern Europe based on MODIS-Aqua M. Filonchyk et al. 10.1016/j.gsf.2020.03.014
794. Potential responses of vegetation to atmospheric aerosols in arid and semi-arid regions of Asia L. Jiao et al. 10.1007/s40333-021-0005-5
795. Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign B. Johnson et al. 10.5194/acp-16-14657-2016
796. Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
797. Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia K. Lee 10.5572/ajae.2018.12.3.193
798. Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020 P. Wang et al. 10.3390/atmos13121983
799. Evaluation of the NDVI-Based Pixel Selection Criteria of the MODIS C6 Dark Target and Deep Blue Combined Aerosol Product M. Bilal & J. Nichol 10.1109/JSTARS.2017.2693289
800. Variability in the correlation between satellite-derived liquid cloud droplet effective radius and aerosol index over the northern Pacific Ocean S. Tan et al. 10.1080/16000889.2017.1391656
801. The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. 10.5194/acp-17-1511-2017
802. Precipitable water vapor over oceans from the Maritime Aerosol Network: Evaluation of global models and satellite products under clear sky conditions D. Pérez-Ramírez et al. 10.1016/j.atmosres.2018.09.007
803. Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
804. Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation X. Li et al. 10.1016/j.jclepro.2019.03.121
805. Trends in the types and absorption characteristics of ambient aerosols over the Indo-Gangetic Plain and North China Plain in last two decades S. Ramachandran & M. Rupakheti 10.1016/j.scitotenv.2022.154867
806. Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions H. Zhu et al. 10.1016/j.isprsjprs.2025.03.009
807. Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al. 10.1029/2023JD039085
808. A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula A. Alban et al. 10.1007/s41748-024-00398-w
809. A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain L. Li et al. 10.1016/j.atmosres.2021.105958
810. Applying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaign P. Gupta et al. 10.5194/amt-12-6557-2019
811. A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements W. Wandji Nyamsi et al. 10.5194/amt-13-3061-2020
812. Variability of mineral dust deposition in the western Mediterranean basin and south-east of France J. Vincent et al. 10.5194/acp-16-8749-2016
813. Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
814. Evaluation of WRF-Chem-RTFDDA dust forecasts over the MENA region using in-situ and remote-sensing observations D. Rostkier-Edelstein et al. 10.3389/fenvs.2022.981852
815. Study of optical scattering properties and direct radiative effects of high-altitude cirrus clouds in Barcelona, Spain, with 4 years of lidar measurements C. Gil-Díaz et al. 10.5194/acp-25-3445-2025
816. Statistics and Meteorology of Air Pollution Episodes over the South African Highveld Based on Satellite–Model Datasets M. Jury 10.1175/JAMC-D-16-0354.1
817. Long-term Changes in Solar Radiation in Northern Eurasia during the Warm Season According to Measurements and Reconstruction Model E. Volpert & N. Chubarova 10.3103/S1068373921080021
818. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
819. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
820. Effects of COVID-19 pandemic lockdown: A satellite data-based appraisal of air quality in Guwahati, Assam J. Biswas & B. Pathak 10.1016/j.matpr.2022.06.218
821. Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States C. Wang et al. 10.1016/j.scitotenv.2017.07.273
822. Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
823. Spatiotemporal variability of aerosol-cloud interactions in Northwestern Pacific and impact on NPP X. Qiu et al. 10.1016/j.atmosenv.2025.121151
824. Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
825. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
826. CALIOP-Based Quantification of Central Asian Dust Transport Y. Han et al. 10.3390/rs14061416
827. Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement A. Ayanlade et al. 10.1177/1759313118820306
828. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations Q. Yang et al. 10.1016/j.envpol.2019.02.071
829. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. 10.1016/j.rse.2024.114275
830. Spatio-temporal variations in fine particulate matter and evaluation of associated health risk over Pakistan A. Mariam et al. 10.1002/ieam.4446
831. Analysis of the MODIS above-cloud aerosol retrieval algorithm using MCARS G. Wind et al. 10.5194/gmd-15-1-2022
832. Evaluation and utilization of MODIS and CALIPSO aerosol retrievals over a complex terrain in Himalaya A. Kumar et al. 10.1016/j.rse.2017.12.019
833. Impact of atmospheric circulation types on southwest Asian dust and Indian summer monsoon rainfall D. Kaskaoutis et al. 10.1016/j.atmosres.2017.11.002
834. Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
835. Implications of MODIS bow-tie distortion on aerosol optical depth retrievals, and techniques for mitigation A. Sayer et al. 10.5194/amt-8-5277-2015
836. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al. 10.3390/rs8090765
837. SI-traceable solar irradiance measurements for aerosol optical depth retrieval N. Kouremeti et al. 10.1088/1681-7575/ac6cbb
838. The regime of aerosol asymmetry parameter over Europe, the Mediterranean and the Middle East based on MODIS satellite data: evaluation against surface AERONET measurements M. Korras-Carraca et al. 10.5194/acp-15-13113-2015
839. Estimation of particulate matter (PM2.5, PM10) concentration and its variation over urban sites in Bangladesh A. Gupta et al. 10.1007/s42452-020-03829-1
840. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
841. High-Resolution Satellite-Based PM2.5 Concentration Data Acquired During the COVID-19 Outbreak Throughout China: Model, Variations, and Reasons H. Guo et al. 10.1109/JSTARS.2021.3119383
842. SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm L. She et al. 10.3390/rs9030253
843. Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China Y. Che et al. 10.5194/acp-16-9655-2016
844. Global validation and comparison of MODIS DT and POLDER-3 GRASP aerosol products over ocean X. Pei et al. 10.1016/j.atmosres.2022.106480
845. Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations V. Sheel et al. 10.1002/joc.5367
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951. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. 10.5194/acp-23-4391-2023
952. The Tibetan Plateau as dust aerosol transit station in middle troposphere over northern East Asia: A case study J. Cao & S. Chen 10.1016/j.atmosres.2022.106416
953. Multi-Satellite Detection of Long-Range Transport and Transformation of Atmospheric Emissions from the Hunga Tonga-Hunga Ha’apai Volcano Q. Liu et al. 10.3390/rs15102661
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965. Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database K. Sun et al. 10.3390/rs11151772
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967. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
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972. Characteristics of Ethiopia Air Chemistry and Its Meteorological Context M. Jury 10.1175/EI-D-17-0009.1
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978. 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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990. 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
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997. Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm H. Zhang et al. 10.5194/amt-13-5955-2020
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1002. Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
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1350. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
1351. 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
1352. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China A. Fan et al. 10.3390/rs9121269
1353. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
1354. 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
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1356. Satellite Remote Sensing for Estimating PM2.5 and Its Components Y. Li et al. 10.1007/s40726-020-00170-4
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1365. 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
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1372. 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
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1375. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain J. Zhu et al. 10.3390/rs9050432
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1380. 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
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1384. 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
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1392. 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
1393. Surface Reflectance and Aerosol Retrieval from SPOT-VGT and PROBA-V in the Mission Exploitation Platform Environment M. Luffarelli et al. 10.3390/rs15215109
1394. Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
1395. Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
1396. 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
1397. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
1398. Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
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1400. 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
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1402. 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
1403. 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
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1405. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
1406. 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
1407. 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
1408. 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
1409. 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
1410. 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
1411. 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
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1413. 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
1414. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
1415. 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
1416. 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
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1418. Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
1419. Analysis and Validation of the Aerosol Optical Depth of MODIS Products in Gansu Province, Northwest China F. Huang et al. 10.3390/rs15122972
1420. 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
1421. 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
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1424. 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
1425. Spatial downscaling of surface ozone concentration calculation from remotely sensed data based on mutual information X. Wang et al. 10.3389/fenvs.2022.925979
1426. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
1427. The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj 10.3389/feart.2021.727169
1428. 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
1429. 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
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1432. 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
1433. High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images H. Lin et al. 10.1016/j.atmosenv.2021.118591
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1435. 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
1436. 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
1437. 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
1438. 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
1439. MISR empirical stray light corrections in high-contrast scenes J. Limbacher & R. Kahn 10.5194/amt-8-2927-2015
1440. 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
1441. A New Chemistry-Climate Model GRIMs-CCM: Model Evaluation of Interactive Chemistry-Meteorology Simulations S. Lee et al. 10.1007/s13143-022-00281-6
1442. 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
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1450. The Influences of Indian Monsoon Phases on Aerosol Distribution and Composition over India P. Khan et al. 10.3390/rs16173171
1451. 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
1452. 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
1453. Satellites See the World’s Atmosphere S. Ackerman et al. 10.1175/AMSMONOGRAPHS-D-18-0009.1
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1457. 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
1458. 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
1459. 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
1460. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
1461. 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
1462. 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
1463. 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
1464. Evaluating Aerosol Optical Depth From Himawari‐8 With Sun Photometer Network W. Wang et al. 10.1029/2018JD028599
1465. 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
1466. 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
1467. 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
1468. 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
1469. Retrievals of aerosol layer height during dust events over the taklimakan and gobi desert S. Chen et al. 10.1016/j.jqsrt.2020.107198
1470. An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends V. Sawyer et al. 10.3389/fenvs.2025.1602145
1471. Monitoring and tracking the trans-Pacific transport of aerosols using multi-satellite aerosol optical depth composites A. Naeger et al. 10.5194/amt-9-2463-2016
1472. Aerosol Optical Depth over the Andhra Pradesh State in South India from Reanalysis Data: Spatiotemporal Variabilities and Machine Learning Approach P. Althaf et al. 10.1007/s41748-024-00465-2
1473. Comparison of total ozone column observations from space-borne Ozone Monitoring Instrument with ground-based Dobson Ozone Spectrophotometer measurements at an urban location in Indo-Gangetic Basin Z. Ul-Haq et al. 10.1080/01431161.2017.1387306
1474. Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. 10.5194/amt-11-5813-2018
1475. Leveraging spatial textures, through machine learning, to identify aerosols and distinct cloud types from multispectral observations W. Marais et al. 10.5194/amt-13-5459-2020
1476. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
1477. Observational Constraints on the Aerosol Optical Depth–Surface PM2.5 Relationship during Alaskan Wildfire Seasons T. Zhao et al. 10.1021/acsestair.4c00120
1478. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area X. Tian & Z. Gao 10.3390/atmos10090548
1479. Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
1480. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. 10.1029/2019JD032097
1481. AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. 10.3390/rs15051343
1482. Recent Increase in Winter Hazy Days over Central India and the Arabian Sea A. Thomas et al. 10.1038/s41598-019-53630-3
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1484. Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission X. Ye et al. 10.1016/j.scitotenv.2022.161055
1485. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
1486. Use of A Neural Network-Based Ocean Body Radiative Transfer Model for Aerosol Retrievals from Multi-Angle Polarimetric Measurements C. Fan et al. 10.3390/rs11232877
1487. Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange‐1 point X. Xu et al. 10.1002/2017GL073939
1488. Differences between the MODIS Collection 6 and 5.1 aerosol datasets over the greater Mediterranean region A. Georgoulias et al. 10.1016/j.atmosenv.2016.10.014
1489. Research agenda for the Russian Far East and utilization of multi-platform comprehensive environmental observations T. Petäjä et al. 10.1080/17538947.2020.1826589
1490. Impact of vegetation greening on TOA clear-sky shortwave radiation in Northwest India M. Mishra et al. 10.1007/s00382-024-07321-z
1491. Regional sulfate drives long-term rise in AOD over megacity Kolkata, India P. Rawat et al. 10.1016/j.atmosenv.2019.04.031
1492. Pollution Trends in China from 2000 to 2017: A Multi-Sensor View from Space J. Li 10.3390/rs12020208
1493. An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data Y. Si et al. 10.1109/TGRS.2024.3367883
1494. Investigating the applicability of a simple iterative approach for aerosol optical depth (AOD) retrieval over diverse land surface types from Landsat 8 and Sentinel 2 using visible and near-infrared (VNIR) spectral bands A. Kumar & M. Mehta 10.1016/j.atmosenv.2023.120082
1495. MODIS high-resolution MAIAC aerosol product: Global validation and analysis W. Qin et al. 10.1016/j.atmosenv.2021.118684
1496. An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India J. Singh et al. 10.1007/s10661-022-10573-z
1497. Which dual-band infrared indices are optimum for identifying aerosol compositional change using Himawari-8 data? M. Sowden & D. Blake 10.1016/j.atmosenv.2020.117620
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