1351 citations as recorded by crossref.

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28. Estimating Particulate Matter using satellite based aerosol optical depth and meteorological variables in Malaysia N. Kamarul Zaman et al. 10.1016/j.atmosres.2017.04.019
29. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
30. Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model A. Jones et al. 10.5194/acp-21-15901-2021
31. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Optical Properties Based on CMIP6 models L. Zhang et al. 10.1175/JCLI-D-21-0479.1
32. 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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37. 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
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40. Diurnal spatial distributions of aerosol optical and cloud micro-macrophysics properties in Africa based on MODIS observations D. Ntwali & H. Chen 10.1016/j.atmosenv.2018.03.054
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50. 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
51. 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
52. Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
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54. Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China L. Dong et al. 10.1016/j.atmosenv.2022.118969
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56. 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
57. 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
58. 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
59. 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
60. Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
61. 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
62. 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
63. 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
64. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China X. Tian et al. 10.3390/rs10122021
65. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
66. Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products A. Jia et al. 10.1029/2021JD035987
67. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
68. 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
69. 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
70. 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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72. Adaptive Aerosol Optical Depth Forecasting Model Using GNSS Observation Q. Zhao et al. 10.1109/TGRS.2021.3129159
73. 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
74. 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
75. 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
76. 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
77. 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
78. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
79. Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
80. Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
81. 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
82. 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
83. 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
84. 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
85. Dust Impacts of Rapid Agricultural Expansion on the Great Plains A. Lambert et al. 10.1029/2020GL090347
86. 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
87. 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
88. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. 10.1029/2022JD038384
89. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
90. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
91. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
92. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
93. 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
94. 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
95. 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
96. 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
97. 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
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146. 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
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149. Dual‐Isotope Constraints on Seasonally Resolved Source Fingerprinting of Black Carbon Aerosols in Sites of the Four Emission Hot Spot Regions of China W. Fang et al. 10.1029/2018JD028607
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153. Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. 10.5194/acp-19-12687-2019
154. Mitigating Satellite‐Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF‐Chem Model Over the Northern sub‐Saharan African Region J. Wang et al. 10.1002/2017JD026840
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158. Coupling meteorological variables with Moderate Resolution Imaging Spectroradiometer atmospheric products for estimating global solar radiation J. Chen et al. 10.1016/j.enconman.2019.112383
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554. Role of Aerosols in Spring Blooms in the Central Yellow Sea During the COVID-19 Lockdown by China J. Baek et al. 10.3389/fmars.2022.911819
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557. Climatological aspects of size-resolved column aerosol optical properties over a rural site in the southern peninsular India B. Madhavan et al. 10.1016/j.atmosres.2020.105345
558. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water Y. Wang et al. 10.3390/rs9060595
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565. The synoptic skill of aerosol optical depth and angstrom exponent levels over the Mediterranean Basin S. Bodenheimer et al. 10.1002/joc.6931
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567. Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015 L. He et al. 10.3390/rs9070746
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569. How Does COVID-19 Lockdown Impact Air Quality in India? Z. Hu et al. 10.3390/rs14081869
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571. 250-m Aerosol Retrieval from FY-3 Satellite in Guangzhou Z. Wang et al. 10.3390/rs13050920
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573. The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
574. Spatio-temporal distribution of aerosol optical depth and cloud properties over Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia B. Getachew et al. 10.1016/j.rsase.2020.100401
575. Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network L. Qi et al. 10.3390/rs14246341
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579. Satellite retrievals of dust aerosol over the Red Sea and the Persian Gulf (2005–2015) J. Banks et al. 10.5194/acp-17-3987-2017
580. Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions M. Tao et al. 10.3390/rs12030523
581. Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
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591. Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements I. Ocko & P. Ginoux 10.5194/acp-17-4451-2017
592. Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
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595. Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
596. Satellite AOD conversion into ground PM10, PM2.5 and PM1 over the Po valley (Milan, Italy) exploiting information on aerosol vertical profiles, chemistry, hygroscopicity and meteorology L. Ferrero et al. 10.1016/j.apr.2019.08.003
597. Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al. 10.2166/wcc.2021.336
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599. Enlarging Rainfall Area of Tropical Cyclones by Atmospheric Aerosols C. Zhao et al. 10.1029/2018GL079427
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601. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
602. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
603. Metal Concentrations and Source Apportionment of PM2.5 in Chiang Rai and Bangkok, Thailand during a Biomass Burning Season J. Kayee et al. 10.1021/acsearthspacechem.0c00140
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733. Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
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745. How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America T. Carter et al. 10.5194/acp-20-2073-2020
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751. The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
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754. Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images R. Paulino et al. 10.3390/rs14081829
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756. New seasonal pattern of pollution emerges from changing North American wildfires R. Buchholz et al. 10.1038/s41467-022-29623-8
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765. Planetary albedo decline over Northwest India contributing to near surface warming S. Sai Krishna et al. 10.1016/j.scitotenv.2021.151607
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767. Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
768. Validation of MODIS Aerosol Optical Depth Retrieval over Mountains in Central China Based on a Sun-Sky Radiometer Site of SONET Y. Ma et al. 10.3390/rs8020111
769. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals Y. Shi et al. 10.5194/acp-19-259-2019
770. Evaluating the use of satellite observations to supplement ground-level air quality data in selected cities in low- and middle-income countries M. Alvarado et al. 10.1016/j.atmosenv.2019.117016
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778. Global Distribution of Column Satellite Aerosol Optical Depth to Surface PM2.5 Relationships S. Christopher & P. Gupta 10.3390/rs12121985
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780. Population exposure to hazardous air quality due to the 2015 fires in Equatorial Asia P. Crippa et al. 10.1038/srep37074
781. Toward More Representative Gridded Satellite Products A. Povey & R. Grainger 10.1109/LGRS.2018.2881762
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785. Correcting MODIS aerosol optical depth products using a ridge regression model R. Hang et al. 10.1080/01431161.2018.1439597
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791. Estimating the Near-Ground PM2.5 Concentration over China Based on the CapsNet Model during 2018–2020 Q. Zeng et al. 10.3390/rs14030623
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803. Open cells exhibit weaker entrainment of free-tropospheric biomass burning aerosol into the south-east Atlantic boundary layer S. Abel et al. 10.5194/acp-20-4059-2020
804. Decadal-scale relationship between measurements of aerosols, land-use change, and fire over Southeast Asia J. Cohen et al. 10.5194/acp-17-721-2017
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810. On the negative polarization's effects at top of atmosphere W. Chen et al. 10.1016/j.atmosenv.2021.118425
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815. XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
816. Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean A. Georgoulias et al. 10.5194/acp-16-13853-2016
817. Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction B. Kianian et al. 10.3390/rs13010126
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821. An assessment of aerosol optical properties from remote-sensing observations and regional chemistry–climate coupled models over Europe L. Palacios-Peña et al. 10.5194/acp-18-5021-2018
822. An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region M. Zhang et al. 10.3390/rs9111173
823. Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. 10.5194/gmd-11-989-2018
824. Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. 10.1016/j.jqsrt.2018.07.003
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827. Surface ozone climatology of South Eastern Brazil and the impact of biomass burning events A. Targino et al. 10.1016/j.jenvman.2019.109645
828. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
829. First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
830. Characterization of released dust over open waters in the south of the Iran Plateau based on satellite and ground-based measurements F. Bayat & H. Khalesifard 10.1016/j.apr.2021.101208
831. Air Pollution Scenario over China during COVID-19 J. Nichol et al. 10.3390/rs12132100
832. Long-Term Variability of Dust Events in Southwestern Iran and Its Relationship with the Drought N. Hamzeh et al. 10.3390/atmos12101350
833. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
834. Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. 10.3390/rs13122319
835. Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India M. Pathakoti et al. 10.5194/acp-21-9047-2021
836. Impact of CALIPSO profile data assimilation on 3-D aerosol improvement in a size-resolved aerosol model H. Ye et al. 10.1016/j.atmosres.2021.105877
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838. Natural and Anthropogenic Aerosol Trends from Satellite and Surface Observations and Model Simulations over the North Atlantic Ocean from 2002 to 2012 A. Jongeward et al. 10.1175/JAS-D-15-0308.1
839. An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared H. Hsiao et al. 10.1002/advs.202201227
840. Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm S. Jin et al. 10.5194/amt-15-4323-2022
841. An assessment of the quality of aerosol retrievals over the Red Sea and evaluation of the climatological cloud-free dust direct radiative effect in the region H. Brindley et al. 10.1002/2015JD023282
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843. Investigating the Long-Term Variation Trends of Absorbing Aerosols over Asia by Using Multiple Satellites D. Li et al. 10.3390/rs14225832
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