1483 citations as recorded by crossref.

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27. Population exposure across central India to PM2.5 derived using remotely sensed products in a three-stage statistical model P. Maheshwarkar & R. Sunder Raman 10.1038/s41598-020-79229-7
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30. 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
31. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
32. 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
33. 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
34. 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
35. 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
36. 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
37. Potential Impacts of Sahara Dust Aerosol on Rainfall Vertical Structure Over the Atlantic Ocean as Identified From EOF Analysis X. Dong et al. 10.1029/2018JD028500
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39. 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
40. 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
41. Radiative impact of a heavy dust storm over India and surrounding oceanic regions S. Kedia et al. 10.1016/j.atmosenv.2018.05.005
42. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. 10.1016/j.atmosenv.2020.117768
43. 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
44. 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
45. 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
46. A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
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48. Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment D. Gong et al. 10.3390/su152115653
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50. Preliminary Retrieval and Validation of Aerosol Optical Depths from FY-4B Advanced Geostationary Radiation Imager Images D. Zhou et al. 10.3390/rs16020372
51. 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
52. 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
53. Trends in aerosol optical properties over Eastern Europe based on MODIS-Aqua M. Filonchyk et al. 10.1016/j.gsf.2020.03.014
54. 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
55. 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
56. 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
57. Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
58. Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia K. Lee 10.5572/ajae.2018.12.3.193
59. Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China L. Dong et al. 10.1016/j.atmosenv.2022.118969
60. Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020 P. Wang et al. 10.3390/atmos13121983
61. 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
62. 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
63. 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
64. 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
65. 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
66. Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
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68. 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
69. 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
70. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China X. Tian et al. 10.3390/rs10122021
71. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
72. Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products A. Jia et al. 10.1029/2021JD035987
73. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
74. 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
75. 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
76. Large Air Quality and Public Health Impacts due to Amazonian Deforestation Fires in 2019 E. Butt et al. 10.1029/2021GH000429
77. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
78. Adaptive Aerosol Optical Depth Forecasting Model Using GNSS Observation Q. Zhao et al. 10.1109/TGRS.2021.3129159
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
87. Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
88. Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
89. 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
90. 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
91. 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
92. 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
93. Dust Impacts of Rapid Agricultural Expansion on the Great Plains A. Lambert et al. 10.1029/2020GL090347
94. 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
95. 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
96. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. 10.1029/2022JD038384
97. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
98. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
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102. 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
103. 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
104. 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
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108. 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
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111. 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
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113. Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison M. Tao et al. 10.1002/2017JD026976
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118. Status update: is smoke on your mind? Using social media to assess smoke exposure B. Ford et al. 10.5194/acp-17-7541-2017
119. 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
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122. Aerosol Distributions and Transport over Southern Morocco from Ground-Based and Satellite Observations (2004–2020) T. Millet et al. 10.3390/atmos13060923
123. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
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125. 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
126. Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
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130. Ocean flux of salt, sulfate, and organic components to atmospheric aerosol L. Russell et al. 10.1016/j.earscirev.2023.104364
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135. 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
136. 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
137. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
138. 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
139. 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
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146. 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
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149. A critical view of long-term AVHRR aerosol data record in China: Retrieval frequency and heavy pollution M. Tao et al. 10.1016/j.atmosenv.2019.117246
150. 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
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156. Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. 10.5194/acp-20-12955-2020
157. Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm J. Liu et al. 10.1016/j.atmosenv.2019.04.002
158. 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
159. 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
160. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution A. Hossein Mardi et al. 10.1016/j.scitotenv.2018.03.148
161. GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia M. Choi et al. 10.5194/amt-11-385-2018
162. 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
163. 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
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165. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
166. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. 10.5194/acp-24-6275-2024
167. Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. 10.5194/acp-19-12687-2019
168. 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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