850 citations as recorded by crossref.

1. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
2. 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
3. An observational study of the effects of aerosols on diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei S. Zhou et al. 10.5194/acp-20-5211-2020
4. Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring C. Lin et al. 10.1016/j.atmosenv.2020.117410
5. The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates Y. Shinozuka et al. 10.5194/acpd-15-2745-2015
6. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
7. Future inhibition of ecosystem productivity by increasing wildfire pollution over boreal North America X. Yue et al. 10.5194/acp-17-13699-2017
8. 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
9. Estimates of African Dust Deposition Along the Trans‐Atlantic Transit Using the Decadelong Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI H. Yu et al. 10.1029/2019JD030574
10. Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Q. Chen et al. 10.3390/atmos11070703
11. Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends K. Casey et al. 10.5194/tc-11-1781-2017
12. 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
13. Aerosol meteorology of the Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 1: regional-scale phenomena J. Reid et al. 10.5194/acp-16-14041-2016
14. Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. 10.1080/15481603.2019.1703288
15. GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during DRAGON-NE Asia 2012 campaign M. Choi et al. 10.5194/amtd-8-9565-2015
16. Angular dependence of aerosol information content in CAPI/TanSat observation over land: Effect of polarization and synergy with A-train satellites X. Chen et al. 10.1016/j.rse.2017.05.007
17. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
18. Scientific impact of MODIS C5 calibration degradation and C6+ improvements A. Lyapustin et al. 10.5194/amt-7-4353-2014
19. 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
20. 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
21. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
22. 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
23. 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
24. 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
25. Radiative impact of a heavy dust storm over India and surrounding oceanic regions S. Kedia et al. 10.1016/j.atmosenv.2018.05.005
26. 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
27. 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
28. A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
29. Satellitendaten zur Erfassung gesundheitsrelevanter Umweltbedingungen: Beispiele und interdisziplinäre Potenziale H. Taubenböck et al. 10.1007/s00103-020-03177-w
30. Decadal evaluation of regional climate, air quality, and their interactions using WRF/Chem Version 3.6.1 K. Yahya et al. 10.5194/gmdd-8-6707-2015
31. 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
32. 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
33. 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
34. Trends in aerosol optical properties over Eastern Europe based on MODIS-Aqua M. Filonchyk et al. 10.1016/j.gsf.2020.03.014
35. 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
36. Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia K. Lee 10.5572/ajae.2018.12.3.193
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China X. Tian et al. 10.3390/rs10122021
44. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
45. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
46. 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
47. 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
48. 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
49. 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
50. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
51. Estimating Ground-Level PM2.5by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
52. Climatology of the aerosol optical depth by components from the Multiangle Imaging SpectroRadiometer (MISR) and a high-resolution chemistry transport model H. Lee et al. 10.5194/acpd-15-33897-2015
53. 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
54. 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
55. 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
56. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
57. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
58. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
59. 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
60. Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia J. Nichol & M. Bilal 10.3390/rs8040328
61. The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions Y. Wu et al. 10.1002/2016JD026355
62. Science impact of MODIS C5 calibration degradation and C6+ improvements A. Lyapustin et al. 10.5194/amtd-7-7281-2014
63. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
64. Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison M. Tao et al. 10.1002/2017JD026976
65. Pre-seismic anomalies from optical satellite observations: a review Z. Jiao et al. 10.5194/nhess-18-1013-2018
66. Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement A. Ayanlade et al. 10.1177/1759313118820306
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al. 10.3390/rs8090765
74. 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
75. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
76. 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
77. SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm L. She et al. 10.3390/rs9030253
78. Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China Y. Che et al. 10.5194/acp-16-9655-2016
79. Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations V. Sheel et al. 10.1002/joc.5367
80. 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
81. 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
82. Evaluation of MODIS columnar aerosol retrievals using AERONET in semi-arid Nevada and California, U.S.A., during the summer of 2012 S. Loría-Salazar et al. 10.1016/j.atmosenv.2016.08.070
83. Evaluation of the Aqua-MODIS C6 and C6.1 Aerosol Optical Depth Products in the Yellow River Basin, China M. Zhang et al. 10.3390/atmos10080426
84. 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
85. Increase of surface solar irradiance across East China related to changes in aerosol properties during the past decade J. Li et al. 10.1088/1748-9326/aaa35a
86. 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
87. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution A. Hossein Mardi et al. 10.1016/j.scitotenv.2018.03.148
88. 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
89. 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
90. 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
91. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
92. Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. 10.5194/acp-19-12687-2019
93. 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
94. Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
95. 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
96. 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
97. 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
98. A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X. Yan et al. 10.1016/j.atmosres.2018.02.021
99. 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
100. On the signature of the cirrus twilight zone U. Wollner et al. 10.1088/1748-9326/9/9/094010
101. Optimal estimation of spectral surface reflectance in challenging atmospheres D. Thompson et al. 10.1016/j.rse.2019.111258
102. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
103. The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates Y. Shinozuka et al. 10.5194/acp-15-7585-2015
104. Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017 T. Zielinski et al. 10.3390/atmos11010084
105. Evaluation of radiometric performance of MODIS visible bands using the Rayleigh scattering method S. Zhu et al. 10.1117/1.JRS.13.018503
106. Using Copernicus Atmosphere Monitoring Service Products to Constrain the Aerosol Type in the Atmospheric Correction Processor MAJA B. Rouquié et al. 10.3390/rs9121230
107. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
108. Assessment of the aerosol optical depths measured by satellite-based passive remote sensors in the Alberta oil sands region C. Sioris et al. 10.5194/acp-17-1931-2017
109. Aerosols impact on the convective and non-convective rain distribution over the Indian region: Results from WRF-Chem simulation S. Kedia et al. 10.1016/j.atmosenv.2019.01.020
110. Spatiotemporal Trends of Aerosols over Urban Regions in Pakistan and Their Possible Links to Meteorological Parameters G. Ali et al. 10.3390/atmos11030306
111. Satellite record of the transition of air quality over China L. Chen et al. 10.1080/20964471.2018.1514818
112. Verification of dust forecast over the Indian region with satellite and ground based observations P. Das et al. 10.1080/01431161.2016.1239285
113. Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al. 10.1029/2018JD028313
114. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
115. Seasonality of the mass concentration and chemical composition of aerosols around an urbanized basin in East Asia C. Chou et al. 10.1002/2016JD025728
116. Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. 10.5194/gmd-13-1179-2020
117. Large air quality and human health impacts due to Amazon forest and vegetation fires E. Butt et al. 10.1088/2515-7620/abb0db
118. Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
119. Performance of MODIS high-resolution MAIAC aerosol algorithm in China: Characterization and limitation M. Tao et al. 10.1016/j.atmosenv.2019.06.004
120. Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
121. The influence of simulated surface dust lofting and atmospheric loading on radiative forcing S. Saleeby et al. 10.5194/acp-19-10279-2019
122. Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models H. Lee et al. 10.5194/acp-16-6627-2016
123. Aerosol–Cloud–Meteorology Interaction Airborne Field Investigations: Using Lessons Learned from the U.S. West Coast in the Design of ACTIVATE off the U.S. East Coast A. Sorooshian et al. 10.1175/BAMS-D-18-0100.1
124. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
125. Retrieval of 500 m Aerosol Optical Depths from MODIS Measurements over Urban Surfaces under Heavy Aerosol Loading Conditions in Winter S. Jin et al. 10.3390/rs11192218
126. Mixing weight determination for retrieving optical properties of polluted dust with MODIS and AERONET data K. Chang et al. 10.1088/1748-9326/11/8/085002
127. 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
128. Evaluation of the multi-angle implementation of atmospheric correction (MAIAC) aerosol algorithm through intercomparison with VIIRS aerosol products and AERONET S. Superczynski et al. 10.1002/2016JD025720
129. Bias in modeled solar radiation by non-resolved intra-daily AOD variability J. Ruiz-Arias 10.1016/j.solener.2020.04.082
130. Changes in Earth’s Energy Budget during and after the “Pause” in Global Warming: An Observational Perspective N. Loeb et al. 10.3390/cli6030062
131. Validation of Himawari-8 aerosol optical depth retrievals over China Z. Zhang et al. 10.1016/j.atmosenv.2018.11.024
132. Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models R. Baró et al. 10.5194/acp-17-9677-2017
133. Assessment of Aerosol Radiative Forcing with 1-D Radiative Transfer Modeling in the U. S. South-East E. Alston & I. Sokolik 10.3390/atmos9070271
134. 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
135. Simulation of aerosol deposition flux over the Arabian Peninsula with CHIMERE-2017: Sensitivity to different dry deposition schemes S. Beegum et al. 10.1016/j.atmosres.2020.104949
136. Retrieval of Horizontal Visibility Using MODIS Data: A Deep Learning Approach B. Hu et al. 10.3390/atmos10120740
137. Long Temporal Analysis of 3-km MODIS Aerosol Product Over East China Q. Ma et al. 10.1109/JSTARS.2017.2650144
138. Large Contribution of Coarse Mode to Aerosol Microphysical and Optical Properties: Evidence from Ground-Based Observations of a Transpacific Dust Outbreak at a High-Elevation North American Site E. Kassianov et al. 10.1175/JAS-D-16-0256.1
139. 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
140. 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
141. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acp-15-10597-2015
142. Impact of Chinese air pollutants on a record-breaking PMs episode in the Republic of Korea for 11–15 January 2019 H. Oh et al. 10.1016/j.atmosenv.2020.117262
143. Aerosol optical depth trend over the Middle East K. Klingmüller et al. 10.5194/acp-16-5063-2016
144. The Uncharacteristic Occurrence of the June 2013 Biomass-Burning Haze Event in Southeast Asia: Effects of the Madden-Julian Oscillation and Tropical Cyclone Activity Y. Oozeer et al. 10.3390/atmos11010055
145. Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
146. Assessing the radiative impacts of an extreme desert dust outbreak and the potential improvements on short-term weather forecasts: The case of February 2015 A. Gkikas et al. 10.1016/j.atmosres.2019.04.020
147. Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols G. Wind et al. 10.5194/gmd-9-2377-2016
148. Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing Q. Xu et al. 10.1016/j.apr.2020.03.007
149. Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain N. Singh et al. 10.5194/acp-18-14197-2018
150. An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development X. Yan et al. 10.1016/j.rse.2017.02.005
151. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
152. Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning J. Fuchs et al. 10.5194/acp-18-16537-2018
153. Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea S. Park et al. 10.5194/acp-19-1097-2019
154. Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China W. Wang et al. 10.3390/rs9080858
155. Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors J. Principe & W. Takeuchi 10.1063/1.5059335
156. Aerosol Optical Depth Over the Nepalese Cryosphere Derived From an Empirical Model B. Bhattarai et al. 10.3389/feart.2019.00178
157. Results from the Fourth WMO Filter Radiometer Comparison for aerosol optical depth measurements S. Kazadzis et al. 10.5194/acp-18-3185-2018
158. AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season T. Eck et al. 10.1029/2018JD030182
159. A novel simplified method for surface albedo together with a look-up table to get an 18-year assessment of surface aerosol direct radiative effect in Central and East China Y. Shi et al. 10.1016/j.atmosenv.2020.117858
160. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. 10.1002/2017JD027643
161. Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017 A. Ansmann et al. 10.5194/acp-18-11831-2018
162. Nocturnal, seasonal and intra-annual variability of tropospheric aerosols observed using ground-based and space-borne lidars over a tropical location of India P. Prasad et al. 10.1016/j.atmosenv.2019.06.008
163. A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENμS and Sentinel-2 Images O. Hagolle et al. 10.3390/rs70302668
164. Diurnal and seasonal variability of PM2.5 and AOD in North China plain: Comparison of MERRA-2 products and ground measurements Z. Song et al. 10.1016/j.atmosenv.2018.08.012
165. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
166. Evaluation of Aerosol Optical Depth (AOD) and PM2.5 associations for air quality assessment Z. Yang et al. 10.1016/j.rsase.2020.100396
167. The impact of moderately absorbing aerosol on surface sensible, latent, and net radiative fluxes during the summer of 2015 in Central Europe K. Markowicz et al. 10.1016/j.jaerosci.2020.105627
168. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
169. Improving satellite-based PM2.5 estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting W. Yu et al. 10.1038/s41598-017-07478-0
170. Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales C. Bacour et al. 10.3390/rs11101166
171. Changes in the aerosol direct radiative forcing from 2001 to 2015: observational constraints and regional mechanisms F. Paulot et al. 10.5194/acp-18-13265-2018
172. Aerosol Optical Depth Retrieval From Landsat 8 OLI Images Over Urban Areas Supported by MODIS BRDF/Albedo Data X. Tian et al. 10.1109/LGRS.2018.2827200
173. Analysis of spatial-temporal heterogeneity in remotely sensed aerosol properties observed during 2005–2015 over three countries along the Gulf of Guinea Coast in Southern West Africa M. Aklesso et al. 10.1016/j.atmosenv.2018.03.062
174. Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces Y. Wang et al. 10.1016/j.atmosenv.2018.12.023
175. Aerosol monitoring in Siberia using an 808 nm automatic compact lidar G. Ancellet et al. 10.5194/amt-12-147-2019
176. Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol‐Cloud Interactions H. Bai et al. 10.1029/2019JD031598
177. Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach J. Wei et al. 10.1016/j.rse.2019.111221
178. Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain B. Priyadharshini et al. 10.1007/s11356-018-2290-x
179. An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data J. Liu et al. 10.1080/17538947.2015.1130087
180. The greening of Northwest Indian subcontinent and reduction of dust abundance resulting from Indian summer monsoon revival Q. Jin & C. Wang 10.1038/s41598-018-23055-5
181. Radiative characteristics of aerosol during extreme fire event over Siberia in summer 2012 T. Zhuravleva et al. 10.5194/amt-10-179-2017
182. Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC 4 RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States K. Kaku et al. 10.1029/2017JD028074
183. Regional transport of anthropogenic pollution and dust aerosols in spring to Tianjin — A coastal megacity in China X. Su et al. 10.1016/j.scitotenv.2017.01.016
184. Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images K. Omari et al. 10.1016/j.apr.2019.01.015
185. Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. 10.1016/j.atmosenv.2018.05.021
186. Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land A. Lipponen et al. 10.5194/amt-11-1529-2018
187. Performance of the NPP-VIIRS and aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin L. He et al. 10.3390/rs10010117
188. Satellite assessment of sea spray aerosol productivity: Southern Ocean case study M. Witek et al. 10.1002/2015JD023726
189. Aerosol optical depth distribution in extratropical cyclones over the Northern Hemisphere oceans C. Naud et al. 10.1002/2016GL070953
190. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan W. Wang et al. 10.3390/rs9050403
191. Aerosol Optical Thickness: Organic Composition, Associated Particle Water, and Aloft Extinction A. Christiansen et al. 10.1021/acsearthspacechem.8b00163
192. Comparison and evaluation of the MODIS Collection 6 aerosol data in China M. Tao et al. 10.1002/2015JD023360
193. Irrigation-Induced Environmental Changes around the Aral Sea: An Integrated View from Multiple Satellite Observations Q. Jin et al. 10.3390/rs9090900
194. Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
195. Impact of North American intense fires on aerosol optical properties measured over the European Arctic in July 2015 K. Markowicz et al. 10.1002/2016JD025310
196. Measurement-based climatology of aerosol direct radiative effect, its sensitivities, and uncertainties from a background southeast US site J. Sherman & A. McComiskey 10.5194/acp-18-4131-2018
197. Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region) U. Rizza et al. 10.1016/j.atmosres.2017.10.022
198. Air pollution inputs to the Mojave Desert by fusing surface mobile and airborne in situ and airborne and satellite remote sensing: A case study of interbasin transport with numerical model validation I. Leifer et al. 10.1016/j.atmosenv.2019.117184
199. Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China F. Yang et al. 10.3390/rs10050748
200. What temporal resolution is required for remote sensing of regional aerosol concentrations using the Himawari-8 geostationary satellite M. Sowden et al. 10.1016/j.atmosenv.2019.116914
201. The short-term variability of aerosols and their impact on cloud properties and radiative effect over the Indo-Gangetic Plain S. Pandey et al. 10.1016/j.apr.2019.12.017
202. Seasonal aerosol variations over a coastal city, Zhoushan, China from CALIPSO observations K. Reddy et al. 10.1016/j.atmosres.2018.11.011
203. Globally analysing spatiotemporal trends of anthropogenic PM2.5 concentration and population's PM2.5 exposure from 1998 to 2016 J. Li et al. 10.1016/j.envint.2019.04.026
204. Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. 10.3389/feart.2019.00152
205. Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations M. Alexandrov & A. Marshak 10.1175/JAS-D-18-0345.1
206. Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China Y. Han et al. 10.1016/j.scitotenv.2015.05.136
207. Regional and global temperature response to anthropogenic SO<sub>2</sub> emissions from China in three climate models M. Kasoar et al. 10.5194/acp-16-9785-2016
208. A new top-down approach for directly estimating biomass burning emissions and fuel consumption rates and totals from geostationary satellite fire radiative power (FRP) B. Mota & M. Wooster 10.1016/j.rse.2017.12.016
209. Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition-4.0 Data Product N. Loeb et al. 10.1175/JCLI-D-17-0208.1
210. Comparison of MODIS 3 km and 10 km resolution aerosol optical depth retrievals over land with airborne sunphotometer measurements during ARCTAS summer 2008 J. Livingston et al. 10.5194/acp-14-2015-2014
211. Spatio-temporal variations and trends of MODIS C6.1 Dark Target and Deep Blue merged aerosol optical depth over China during 2000–2017 G. Xie et al. 10.1016/j.atmosenv.2019.116846
212. Heavy aerosol loading over the Bohai Bay as revealed by ground and satellite remote sensing J. Zhang et al. 10.1016/j.atmosenv.2015.03.048
213. A Review of Satellite Constraints on Airborne Dust: What We Can Say, and What We Can't R. Kahn et al. 10.1051/e3sconf/20199901008
214. Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database K. Sun et al. 10.3390/rs11151772
215. Validation of MODIS-Aqua Aerosol Products C051 and C006 over the Beijing-Tianjin-Hebei Region 10.3390/atmos8090172
216. A novel retrieval of daytime atmospheric dust and volcanic ash heights through a synergy of AIRS infrared radiances and MODIS L2 optical depths S. DeSouza-Machado et al. 10.5194/amtd-8-443-2015
217. Estimating ground level PM2.5 concentrations and associated health risk in India using satellite based AOD and WRF predicted meteorological parameters S. Sahu et al. 10.1016/j.chemosphere.2020.126969
218. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
219. Application of spectral analysis techniques in the intercomparison of aerosol data. Part II: Using maximum covariance analysis to effectively compare spatiotemporal variability of satellite and AERONET measured aerosol optical depth J. Li et al. 10.1002/2013JD020537
220. MODIS 3 km and 10 km aerosol optical depth for China: Evaluation and comparison Q. He et al. 10.1016/j.atmosenv.2017.01.023
221. Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta During the 2014–2017 Period . Cheng et al. 10.3390/ijerph16193522
222. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
223. Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model M. Chin et al. 10.5194/acp-14-3657-2014
224. Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency J. Liu et al. 10.1109/JSTARS.2015.2438893
225. CESM/CAM5 improvement and application: comparison and evaluation of updated CB05_GE and MOZART-4 gas-phase mechanisms and associated impacts on global air quality and climate J. He et al. 10.5194/gmd-8-3999-2015
226. Characteristics of Ethiopia Air Chemistry and Its Meteorological Context M. Jury 10.1175/EI-D-17-0009.1
227. Influence of Spatial Resolution and Retrieval Frequency on Applicability of Satellite-Predicted PM2.5 in Northern China R. Li et al. 10.3390/rs12040736
228. Estimation of surface-level PM concentration from satellite observation taking into account the aerosol vertical profiles and hygroscopicity K. Kim et al. 10.1016/j.chemosphere.2015.09.040
229. Long-Term (2005–2017) View of Atmospheric Pollutants in Central China Using Multiple Satellite Observations R. Li et al. 10.3390/rs12061041
230. Seasonal impact of regional outdoor biomass burning on air pollution in three Indian cities: Delhi, Bengaluru, and Pune T. Liu et al. 10.1016/j.atmosenv.2017.10.024
231. Monthly analysis of PM ratio characteristics and its relation to AOD M. Sorek-Hamer et al. 10.1080/10962247.2016.1208121
232. Investigation of air quality over the largest city in central China using high resolution satellite derived aerosol optical depth data K. Sun et al. 10.1016/j.apr.2017.12.011
233. Impact of Aerosol Vertical Distribution on Aerosol Optical Depth Retrieval from Passive Satellite Sensors C. Li et al. 10.3390/rs12091524
234. Role of atmospheric nutrient pollution in stimulating phytoplankton growth in small area and shallow depth water bodies: Arabian Gulf and the sea of Oman A. Farahat & A. Abuelgasim 10.1016/j.atmosenv.2019.117045
235. Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective J. Chowdhary et al. 10.3389/feart.2019.00100
236. Evaluation of VIIRS Land Aerosol Model Selection with AERONET Measurements W. Wang et al. 10.3390/ijerph14091016
237. A First-Order Assessment of Direct Aerosol Radiative Effect in the Southeastern U.S. Using over a Decade Long Multisatellite Data Record E. Alston & I. Sokolik 10.4137/ASWR.S39226
238. Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer measurements over East Asia Q. Xiao et al. 10.5194/acpd-15-20709-2015
239. Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate M. Christensen et al. 10.5194/acp-17-13151-2017
240. Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014–2017 K. Qin et al. 10.1016/j.atmosenv.2018.09.054
241. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
242. Simultaneous determination of aerosol optical depth and exponent of the Junge power law from MODIS shortwave infrared bands over Qinghai Lake L. Zhu et al. 10.1364/AO.57.006497
243. Retrieving near-global aerosol loading over land and ocean from AVHRR N. Hsu et al. 10.1002/2017JD026932
244. Testing the two-layer model for correcting near-cloud reflectance enhancement using LES/SHDOM-simulated radiances G. Wen et al. 10.1002/2016JD025021
245. New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product M. Bilal et al. 10.1016/j.rse.2017.05.028
246. 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
247. New Regression Method to Merge Different MODIS Aerosol Products Based on NDVI Datasets W. Xu et al. 10.3390/atmos10060303
248. Assessment of satellite-based aerosol optical depth using continuous lidar observation C. Lin et al. 10.1016/j.atmosenv.2016.06.012
249. An observationally constrained estimate of global dust aerosol optical depth D. Ridley et al. 10.5194/acp-16-15097-2016
250. High Spatial Resolution PM2.5 Retrieval Using MODIS and Ground Observation Station Data Based on Ensemble Random Forest X. Chen et al. 10.1109/ACCESS.2019.2908975
251. Evaluation of MODIS C6 and C6.1 Dark Target AOD products over Turkey based on NDVI and aerosol type G. Tuna Tuygun et al. 10.1016/j.apr.2020.07.003
252. Spatial distribution and temporal variation of aerosol optical depth and radiative effect in South China and its adjacent area M. Zhang et al. 10.1016/j.atmosenv.2018.06.028
253. Detection of aerosol pollution sources during sandstorms in Northwestern China using remote sensed and model simulated data M. Filonchyk et al. 10.1016/j.asr.2017.11.037
254. Study of Aerosols’ Characteristics and Dynamics over the Kingdom of Saudi Arabia Using a Multisensor Approach Combined with Ground Observations A. Farahat et al. 10.1155/2015/247531
255. Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan M. Awais et al. 10.1016/j.jastp.2018.04.008
256. Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency A. Sayer et al. 10.1002/2015JD023878
257. Mapping the Twilight Zone—What We Are Missing between Clouds and Aerosols K. Schwarz et al. 10.3390/rs9060577
258. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acpd-15-13551-2015
259. Inter-annual and seasonal variations in optical and physical characteristics of columnar aerosols over the Pokhara Valley in the Himalayan foothills S. Ramachandran & M. Rupakheti 10.1016/j.atmosres.2020.105254
260. Evaluation of the representativeness of ground-based visibility for analysing the spatial and temporal variability of aerosol optical thickness in China Z. Zhang et al. 10.1016/j.atmosenv.2016.09.060
261. Global Dimming and Brightening Features during the First Decade of the 21st Century N. Hatzianastassiou et al. 10.3390/atmos11030308
262. Estimating PM2.5 Concentrations Based on MODIS AOD and NAQPMS Data over Beijing–Tianjin–Hebei Q. Wang et al. 10.3390/s19051207
263. Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms N. Benas et al. 10.5194/acp-20-457-2020
264. Characterization of satellite-based proxies for estimating nucleation mode particles over South Africa A. Sundström et al. 10.5194/acp-15-4983-2015
265. An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern United States: observational-based analysis of surface temperature J. Zhang et al. 10.5194/acp-16-6475-2016
266. Improved MODIS Dark Target aerosol optical depth algorithm over land: angular effect correction Y. Wu et al. 10.5194/amt-9-5575-2016
267. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
268. Spatial Particulate Fields during High Winds in the Imperial Valley, California F. Freedman et al. 10.3390/atmos11010088
269. High-Resolution Satellite-Derived PM2.5 from Optimal Estimation and Geographically Weighted Regression over North America A. van Donkelaar et al. 10.1021/acs.est.5b02076
270. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
271. The Variations and Trends of MODIS C5 & C6 Products’ Errors in the Recent Decade over the Background and Urban Areas of North China Q. Zhang et al. 10.3390/rs8090754
272. Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. 10.1175/JCLI-D-19-0669.1
273. Characteristics of Haze Episode in 2019 December by Using Satellite and Ground Measurements with Trajectory Model K. Lee & S. Park 10.5572/KOSAE.2020.36.1.128
274. Multi-Sensor Observation of a Saharan Dust Outbreak over Transylvania, Romania in April 2019 N. Ajtai et al. 10.3390/atmos11040364
275. MODIS Collection 6 MAIAC algorithm A. Lyapustin et al. 10.5194/amt-11-5741-2018
276. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China H. Kang et al. 10.1016/j.atmosres.2018.09.012
277. Inter-comparison of multi-satellites and Aeronet AOD over Indian Region R. Mangla et al. 10.1016/j.atmosres.2020.104950
278. WRF-Chem model simulations of a dust outbreak over the central Mediterranean and comparison with multi-sensor desert dust observations U. Rizza et al. 10.5194/acp-17-93-2017
279. Combined use of satellite and surface observations to study aerosol optical depth in different regions of China M. Filonchyk et al. 10.1038/s41598-019-42466-6
280. Declining Summertime Local‐Scale Precipitation Frequency Over China and the United States, 1981–2012: The Disparate Roles of Aerosols J. Guo et al. 10.1029/2019GL085442
281. Aerosol Optical Properties and Direct Radiative Effects over Central China M. Zhang et al. 10.3390/rs9100997
282. Using the Gaofen-4 geostationary satellite to retrieve aerosols with high spatiotemporal resolution X. Chen et al. 10.1117/1.JRS.12.042606
283. Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China J. Wu et al. 10.3390/rs11192223
284. Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
285. Exploration of Machine Learning Techniques in Emulating a Coupled Soil–Canopy–Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From Satellite Observations H. Shi et al. 10.1109/TGRS.2019.2921392
286. Prediction of PM2.5 daily concentrations for grid points throughout a vast area using remote sensing data and an improved dynamic spatial panel model M. Fu et al. 10.1016/j.atmosenv.2020.117667
287. A comparative study of aerosol microphysical properties retrieved from ground-based remote sensing and aircraft in situ measurements during a Saharan dust event M. Granados-Muñoz et al. 10.5194/amt-9-1113-2016
288. A Geostatistics-Based Method to Determine the Pixel Distance in a Structure Function Model for Aerosol Optical Depth Inversion G. Zhou et al. 10.3390/atmos8010006
289. Forecasting ultrafine particle concentrations from satellite and in situ observations P. Crippa et al. 10.1002/2016JD026021
290. Five Years of Dust Episodes at the Southern Italy GAW Regional Coastal Mediterranean Observatory: Multisensors and Modeling Analysis C. Calidonna et al. 10.3390/atmos11050456
291. Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations J. Bright & C. Gueymard 10.1016/j.solener.2019.03.043
292. An Effective and Efficient Enhanced Fixed Rank Smoothing Method for the Spatiotemporal Fusion of Multiple-Satellite Aerosol Optical Depth Products B. Zou et al. 10.3390/rs12071102
293. Non-Monotonic Aerosol Effect on Precipitation in Convective Clouds over Tropical Oceans H. Liu et al. 10.1038/s41598-019-44284-2
294. Estimation of nighttime aerosol optical thickness from Suomi-NPP DNB observations over small cities in Korea G. Choo & M. Jeong 10.7780/kjrs.2016.32.2.1
295. Aerosol optical depth in a western Mediterranean site: An assessment of different methods A. Sanchez-Romero et al. 10.1016/j.atmosres.2016.02.002
296. Spatiotemporal prediction of continuous daily PM2.5 concentrations across China using a spatially explicit machine learning algorithm Y. Zhan et al. 10.1016/j.atmosenv.2017.02.023
297. Improving the image fusion procedure for high-spatiotemporal aerosol optical depth retrieval: a case study of urban area in Taiwan C. Huang et al. 10.1117/1.JRS.12.042605
298. Climate Forcing and Trends of Organic Aerosols in the Community Earth System Model (CESM2) S. Tilmes et al. 10.1029/2019MS001827
299. Global Sources of Fine Particulate Matter: Interpretation of PM2.5 Chemical Composition Observed by SPARTAN using a Global Chemical Transport Model C. Weagle et al. 10.1021/acs.est.8b01658
300. Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought R. Field et al. 10.1073/pnas.1524888113
301. Trends in MODIS and AERONET derived aerosol optical thickness over Northern Europe P. Glantz et al. 10.1080/16000889.2018.1554414
302. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. 10.3390/rs11050498
303. A new method of satellite-based haze aerosol monitoring over the North China Plain and a comparison with MODIS Collection 6 aerosol products X. Yan et al. 10.1016/j.atmosres.2015.12.003
304. Abrupt cloud clearing of marine stratocumulus in the subtropical southeast Atlantic S. Yuter et al. 10.1126/science.aar5836
305. Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products J. Wei et al. 10.5194/acp-19-7183-2019
306. MODIS 3 km aerosol product: algorithm and global perspective L. Remer et al. 10.5194/amtd-6-69-2013
307. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale . Hatzianastassiou et al. 10.3390/atmos10110671
308. A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
309. Review: Strategies for using satellite-based products in modeling PM2.5 and short-term pollution episodes M. Sorek-Hamer et al. 10.1016/j.envint.2020.106057
310. Role of the Madden-Julian Oscillation in the Transport of Smoke From Sumatra to the Malay Peninsula During Severe Non-El Niño Haze Events S. Koplitz et al. 10.1029/2018JD028533
311. On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. 10.1016/j.rse.2020.111731
312. Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables A. Mhawish et al. 10.1021/acs.est.0c01769
313. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements D. Giles et al. 10.5194/amt-12-169-2019
314. Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China J. Zhu et al. 10.5194/acp-19-14637-2019
315. Oceanic Aerosol Loading Derived From MISR's 4.4 km (V23) Aerosol Product M. Witek et al. 10.1029/2019JD031065
316. CALIPSO inferred most probable heights of global dust and smoke layers J. Huang et al. 10.1002/2014JD022898
317. Contrast in column-integrated aerosol optical properties during heating and non-heating seasons at Urumqi — Its causes and implications X. Li et al. 10.1016/j.atmosres.2017.03.008
318. A Global Survey of Apparent Aerosol‐Cloud Interaction Signals L. Oreopoulos et al. 10.1029/2019JD031287
319. Asian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysis D. Kim et al. 10.1029/2019JD030822
320. Estimation of global horizontal irradiance using satellite-derived data across Middle East-North Africa: The role of aerosol optical properties and site-adaptation methodologies I. Vamvakas et al. 10.1016/j.renene.2020.05.004
321. 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/acpd-15-17651-2015
322. Estimating PM2.5Concentrations in the Conterminous United States Using the Random Forest Approach X. Hu et al. 10.1021/acs.est.7b01210
323. Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces J. Wei et al. 10.1109/TGRS.2019.2927432
324. On the influence of the diurnal variations of aerosol content to estimate direct aerosol radiative forcing using MODIS data H. Xu et al. 10.1016/j.atmosenv.2016.06.067
325. Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi-scale Air Quality aerosol predictions over the contiguous United States T. Chai et al. 10.1002/2016JD026295
326. Associations of long-term exposure to ambient PM2.5 with mortality in Chinese adults: A pooled analysis of cohorts in the China-PAR project X. Yang et al. 10.1016/j.envint.2020.105589
327. Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia Z. ul-Haq et al. 10.1007/s00703-016-0485-6
328. Transport Patterns, Size Distributions, and Depolarization Characteristics of Dust Particles in East Asia in Spring 2018 Y. Tian et al. 10.1029/2019JD031752
329. Remote sensing of two exceptional winter aerosol pollution events and representativeness of ground-based measurements A. Baron et al. 10.5194/acp-20-6749-2020
330. Saharan Dust Modeling Over the Mediterranean Basin and Central Europe: Does the Resolution Matter? L. Palacios-Peña et al. 10.3389/feart.2019.00290
331. An example of aerosol pattern variability over bright surface using high resolution MODIS MAIAC: The eastern and western areas of the Dead Sea and environs L. Sever et al. 10.1016/j.atmosenv.2017.06.047
332. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water Y. Wang et al. 10.3390/rs9060595
333. Characterization of satellite based proxies for estimating nucleation mode particles over South Africa A. Sundström et al. 10.5194/acpd-14-25825-2014
334. Study of satellite retrieved aerosol optical depth spatial resolution effect on particulate matter concentration prediction J. Strandgren et al. 10.5194/acpd-14-25869-2014
335. A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China J. Wei et al. 10.1109/TGRS.2019.2892813
336. Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling L. Li et al. 10.1016/j.rse.2019.111584
337. Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015 L. He et al. 10.3390/rs9070746
338. A Simplified Method for Retrieving Aerosol Optical Thickness Using Visibility Data Between 1980 and 2014, A Case Study in China Z. Zhang & M. Wong 10.1109/JSTARS.2017.2723043
339. Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products T. Toth et al. 10.5194/amt-11-499-2018
340. Aerosol model evaluation using two geostationary satellites over East Asia in May 2016 D. Goto et al. 10.1016/j.atmosres.2018.10.016
341. The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
342. 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
343. Constraining Uncertainty in Aerosol Direct Forcing D. Watson‐Parris et al. 10.1029/2020GL087141
344. 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
345. Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions M. Tao et al. 10.3390/rs12030523
346. MODIS Collection 6 aerosol products: Comparison between Aqua's e-Deep Blue, Dark Target, and “merged” data sets, and usage recommendations A. Sayer et al. 10.1002/2014JD022453
347. Spatial variability of the aerosol optical thickness over Southern Ocean and coastal Antarctica: Comparison with MODIS and MERRA-2 aerosol products K. Hareef baba shaeb et al. 10.1016/j.dsr2.2020.104776
348. PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003–2015 Y. Chen et al. 10.1007/s11783-019-1202-8
349. Monitoring the Impacts of Wildfires on Forest Ecosystems and Public Health in the Exo-Urban Environment Using High-Resolution Satellite Aerosol Products from the Visible Infrared Imaging Radiometer Suite (VIIRS) A. Huff et al. 10.4137/EHI.S19590
350. Ground-based High Spectral Resolution Lidar observation of aerosol vertical distribution in the summertime Southeast United States J. Reid et al. 10.1002/2016JD025798
351. A 13-year climatological study on the variations of aerosol and cloud properties over Kazakhstan from remotely sensed satellite observations K. Kumar et al. 10.1016/j.jastp.2018.06.014
352. 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
353. Satellite Observations of Cloud-Related Variations in Aerosol Properties T. Várnai & A. Marshak 10.3390/atmos9110430
354. Assessment of MODIS thermal emissive bands calibration performance using deep convective clouds T. Chang et al. 10.1117/1.JRS.13.044526
355. 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
356. 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
357. Enlarging Rainfall Area of Tropical Cyclones by Atmospheric Aerosols C. Zhao et al. 10.1029/2018GL079427
358. Known and unknown unknowns: the application of ensemble techniques to uncertainty estimation in satellite remote sensing data A. Povey & R. Grainger 10.5194/amtd-8-8509-2015
359. Size-resolved particulate matter concentrations derived from 4.4 km-resolution size-fractionated Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depth over Southern California M. Franklin et al. 10.1016/j.rse.2017.05.002
360. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
361. 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
362. Simulating Multi-Directional Narrowband Reflectance of the Earth’s Surface Using ADAM (A Surface Reflectance Database for ESA’s Earth Observation Missions) C. Bacour et al. 10.3390/rs12101679
363. Surface albedo and reflectance: Review of definitions, angular and spectral effects, and intercomparison of major data sources in support of advanced solar irradiance modeling over the Americas C. Gueymard et al. 10.1016/j.solener.2019.02.040
364. An experimental study on the characteristic pattern of internal solitary waves in optical remote-sensing images M. Zhang et al. 10.1080/01431161.2019.1597308
365. Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al. 10.1109/JSTARS.2015.2481460
366. New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data X. Yan et al. 10.1016/j.envint.2020.106060
367. The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua S. Platnick et al. 10.1109/TGRS.2016.2610522
368. Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. 10.1002/2015JD024668
369. Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar M. McGill et al. 10.17159/sajs.2020/6398
370. Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 Y. Che et al. 10.5194/amt-12-4091-2019
371. Classification of key aerosol types and their frequency distributions based on satellite remote sensing data at an industrially polluted city in the Yangtze River Delta, China K. Kumar et al. 10.1002/joc.5178
372. Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. 10.1029/2019JD031884
373. A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations C. Wang et al. 10.5194/amt-13-2257-2020
374. Constraining the aerosol influence on cloud fraction E. Gryspeerdt et al. 10.1002/2015JD023744
375. Seasonal variation in particle contribution and aerosol types in Shanghai based on satellite data from MODIS and CALIOP Q. Liu et al. 10.1016/j.partic.2019.10.001
376. Controlling factors analysis for the Himawari-8 aerosol optical depth accuracy from the standpoint of size distribution, solar zenith angles and scattering angles M. Zhang et al. 10.1016/j.atmosenv.2020.117501
377. A nonparametric approach to filling gaps in satellite-retrieved aerosol optical depth for estimating ambient PM2.5 levels R. Zhang et al. 10.1016/j.envpol.2018.09.052
378. Assessing the effect of long-range pollutant transportation on air quality in Seoul using the conditional potential source contribution function method U. Jeong et al. 10.1016/j.atmosenv.2016.11.017
379. Retrieving the height of smoke and dust aerosols by synergistic use of VIIRS, OMPS, and CALIOP observations J. Lee et al. 10.1002/2015JD023567
380. Fast yet accurate computation of radiances in shortwave infrared satellite remote sensing channels N. Chen et al. 10.1364/OE.25.00A649
381. Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing W. Chen et al. 10.3390/rs9050496
382. Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model D. Fu et al. 10.1016/j.apr.2019.11.020
383. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance R. Levy et al. 10.5194/amt-8-4083-2015
384. Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF‐Chem Parameterizations P. Crippa et al. 10.1029/2018JD029900
385. Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. 10.1016/j.rse.2017.01.007
386. Assessment of satellite-estimated near-surface sulfate and nitrate concentrations and their precursor emissions over China from 2006 to 2014 Y. Si et al. 10.1016/j.scitotenv.2019.02.180
387. Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States J. Belle & Y. Liu 10.3390/rs8100815
388. Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions X. Yang et al. 10.1016/j.atmosenv.2019.117068
389. Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert J. Boehmler et al. 10.3390/s18103504
390. Air quality trends of the Kathmandu Valley: A satellite, observation and modeling perspective P. Mahapatra et al. 10.1016/j.atmosenv.2018.12.043
391. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
392. Aerosol radiative forcing efficiency in the UV-B region over central Argentina G. Palancar et al. 10.1016/j.atmosres.2016.02.016
393. Weekday AOD smaller than weekend AOD in eastern China on the basis of the MODIS AOD product J. Song et al. 10.1007/s00704-017-2142-5
394. Neural network for aerosol retrieval from hyperspectral imagery S. Mauceri et al. 10.5194/amt-12-6017-2019
395. Spatial characteristics and temporal evolution of the relationship between PM2.5 and aerosol optical depth over the eastern USA during 2003–2017 Q. Jin et al. 10.1016/j.atmosenv.2020.117718
396. New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
397. Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia Q. Xiao et al. 10.5194/acp-16-1255-2016
398. Exploring the spatial-temporal characteristics of the aerosol optical depth (AOD) in Central Asia based on the moderate resolution imaging spectroradiometer (MODIS) D. Wang et al. 10.1007/s10661-020-08299-x
399. Climatology and trends of aerosol optical depth over the Mediterranean basin during the last 12 years (2002–2014) based on Collection 006 MODIS-Aqua data A. Floutsi et al. 10.1016/j.scitotenv.2016.01.192
400. Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing–Tianjin–Hebei Region, China L. Li et al. 10.3390/rs10122006
401. Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. 10.3390/rs12142330
402. Recent changes of trans-boundary air pollution over the Yellow Sea: Implications for future air quality in South Korea P. Bhardwaj et al. 10.1016/j.envpol.2019.01.048
403. Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis Z. Zhang et al. 10.3390/rs12152420
404. Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain K. Vinjamuri et al. 10.1016/j.envpol.2019.113377
405. Intercomparison of CALIOP, MODIS, and AERONET aerosol optical depth over China during the past decade C. Liu et al. 10.1080/01431161.2018.1466070
406. Critical evaluation of cloud contamination in the MISR aerosol products using MODIS cloud mask products Y. Shi et al. 10.5194/amt-7-1791-2014
407. The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. 10.5194/gmd-11-2333-2018
408. Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns G. de Leeuw et al. 10.5194/acp-18-1573-2018
409. Investigating horizontal and vertical pollution gradients in the atmosphere associated with an urban location in complex terrain, Reno, Nevada, USA A. Pierce et al. 10.1016/j.atmosenv.2018.09.063
410. Observationally constrained analysis of sea salt aerosol in the marine atmosphere H. Bian et al. 10.5194/acp-19-10773-2019
411. Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model D. Goto et al. 10.5194/gmd-13-3731-2020
412. Evaluating the representation of aerosol optical properties using an online coupled model over the Iberian Peninsula L. Palacios-Peña et al. 10.5194/acp-17-277-2017
413. Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. 10.5194/amt-12-3595-2019
414. Incorporation of advanced aerosol activation treatments into CESM/CAM5: model evaluation and impacts on aerosol indirect effects B. Gantt et al. 10.5194/acp-14-7485-2014
415. Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014 W. Chen et al. 10.3390/rs8020110
416. Exploration of the potential for using Spark-I observations to derive atmospheric parameters X. Chen et al. 10.1080/01431161.2017.1416694
417. Effect of Wind Speed on Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth over the North Pacific L. Merkulova et al. 10.3390/atmos9020060
418. Systematic satellite observations of the impact of aerosols from passive volcanic degassing on local cloud properties S. Ebmeier et al. 10.5194/acp-14-10601-2014
419. Spatio-Temporal Variation in AOD and Correlation Analysis with PAR and NPP in China from 2001 to 2017 X. Li et al. 10.3390/rs12060976
420. Multi-satellite retrieval of single scattering albedo using the OMI–MODIS algorithm K. Eswaran et al. 10.5194/acp-19-3307-2019
421. Satellite observation of pollutant emissions from gas flaring activities near the Arctic C. Li et al. 10.1016/j.atmosenv.2016.03.019
422. Validation of MODIS C6 Aerosol Optical Depth in China T. Zhang et al. 10.1088/1757-899X/780/4/042045
423. Albedo of Black Carbon‐Contaminated Snow Across Northwestern China and the Validation With Model Simulation T. Shi et al. 10.1029/2019JD032065
424. Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land J. Wei et al. 10.1016/j.atmosenv.2019.03.001
425. Subgrid-scale variability in clear-sky relative humidity and forcing by aerosol–radiation interactions in an atmosphere model P. Petersik et al. 10.5194/acp-18-8589-2018
426. Possible Relationship of Weakened Aleutian Low with Air Quality Improvement in Seoul, South Korea H. Oh et al. 10.1175/JAMC-D-17-0308.1
427. Evaluation of MODIS aerosol retrieval algorithms over the Beijing‐Tianjin‐Hebei region during low to very high pollution events M. Bilal & J. Nichol 10.1002/2015JD023082
428. A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
429. An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land J. Wei et al. 10.1029/2017JD027795
430. Has China been exporting less particulate air pollution over the past decade? J. Zhang et al. 10.1002/2017GL072617
431. Validation of POLDER GRASP aerosol optical retrieval over China using SONET observations Y. Wei et al. 10.1016/j.jqsrt.2020.106931
432. Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET G. Huang et al. 10.1029/2019EA001041
433. Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products F. Bao et al. 10.1021/acs.est.0c00816
434. Long-term AOD trend assessment over the Eastern Mediterranean region: A comparative study including a new merged aerosol product A. Shaheen et al. 10.1016/j.atmosenv.2020.117736
435. Validation of the Atmospheric Boundary Layer Height Estimated from the MODIS Atmospheric Profile Data at an Equatorial Site S. Onyango et al. 10.3390/atmos11090908
436. Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. 10.1109/TGRS.2017.2727342
437. Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics D. Painemal et al. 10.5194/amt-12-2201-2019
438. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
439. Variation of the aerosol optical properties and validation of MODIS AOD products over the eastern edge of the Tibetan Plateau based on ground-based remote sensing in 2017 Y. You et al. 10.1016/j.atmosenv.2019.117257
440. 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
441. Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing, China Q. Pu & E. Yoo 10.1080/13658816.2019.1664742
442. MODIS AOD sampling rate and its effect on PM2.5 estimation in North China Z. Song et al. 10.1016/j.atmosenv.2019.04.020
443. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance R. Levy et al. 10.5194/amtd-8-6877-2015
444. Spatiotemporal Investigations of Aerosol Optical Properties Over Bangladesh for the Period 2002–2016 M. Islam et al. 10.1007/s41748-019-00120-1
445. Characterization of Subgrid-Scale Variability in Particulate Matter with Respect to Satellite Aerosol Observations M. Franklin et al. 10.3390/rs10040623
446. Remote Sensing of Aerosol Optical Depth Using an Airborne Polarimeter over North China H. Wang et al. 10.3390/rs9100979
447. Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study E. Jäkel et al. 10.5194/amt-8-5237-2015
448. Large-scale hazes over Eurasia in July 2016: Siberian smoke haze evolution G. Gorchakov et al. 10.1088/1755-1315/231/1/012019
449. 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
450. Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces M. Bilal et al. 10.3390/rs10030475
451. A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products H. Xu et al. 10.1016/j.atmosenv.2015.05.023
452. The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
453. Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
454. Comparison and evaluation of MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) aerosol product over South Asia A. Mhawish et al. 10.1016/j.rse.2019.01.033
455. Evaluation and Comparison of MODIS Collection 6.1 and Collection 6 Dark Target Aerosol Optical Depth over Mainland China Under Various Conditions Including Spatiotemporal Distribution, Haze Effects, and Underlying Surface Y. Huang et al. 10.1029/2019EA000809
456. From Tropospheric Folding to Khamsin and Foehn Winds: How Atmospheric Dynamics Advanced a Record-Breaking Dust Episode in Crete S. Solomos et al. 10.3390/atmos9070240
457. Improved aerosol correction for OMI tropospheric NO<sub>2</sub> retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. 10.5194/amt-12-1-2019
458. Description and applications of a mobile system performing on-road aerosol remote sensing and in situ measurements I. Popovici et al. 10.5194/amt-11-4671-2018
459. 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
460. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals Y. Shi et al. 10.5194/acp-19-259-2019
461. 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
462. Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces N. Karimi et al. 10.1016/j.apr.2019.01.008
463. A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images D. Wang et al. 10.3390/rs8060489
464. Application of spectral analysis techniques to the intercomparison of aerosol data – Part 4: Synthesized analysis of multisensor satellite and ground-based AOD measurements using combined maximum covariance analysis J. Li et al. 10.5194/amt-7-2531-2014
465. Global Distribution of Column Satellite Aerosol Optical Depth to Surface PM2.5 Relationships S. Christopher & P. Gupta 10.3390/rs12121985
466. Population exposure to hazardous air quality due to the 2015 fires in Equatorial Asia P. Crippa et al. 10.1038/srep37074
467. Toward More Representative Gridded Satellite Products A. Povey & R. Grainger 10.1109/LGRS.2018.2881762
468. Correcting MODIS aerosol optical depth products using a ridge regression model R. Hang et al. 10.1080/01431161.2018.1439597
469. New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. 10.5194/amt-11-429-2018
470. On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. 10.5194/acp-18-7961-2018
471. Study of aerosol microphysical properties profiles retrieved from ground-based remote sensing and aircraft in-situ measurements during a Saharan dust event M. Granados-Muñoz et al. 10.5194/amtd-8-9289-2015
472. How much of the global aerosol optical depth is found in the boundary layer and free troposphere? Q. Bourgeois et al. 10.5194/acp-18-7709-2018
473. Validation and Accuracy Analysis of Global MODIS Aerosol Products over Land Q. Wang et al. 10.3390/atmos8080155
474. A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
475. Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model T. Dai et al. 10.1007/s00376-014-4098-z
476. Implications of MODIS bowtie distortion on aerosol optical depth retrievals, and techniques for mitigation A. Sayer et al. 10.5194/amtd-8-8727-2015
477. Interannual variation of the East Asia Jet Stream and its impact on the horizontal distribution of aerosol in boreal spring S. Lee et al. 10.1016/j.atmosenv.2020.117296
478. 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
479. 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
480. GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign M. Choi et al. 10.5194/amt-9-1377-2016
481. MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products W. Zhang et al. 10.1007/s12524-020-01129-0
482. Spatiotemporal evolution of the remotely sensed global continental PM2.5 concentration from 2000-2014 based on Bayesian statistics J. Li et al. 10.1016/j.envpol.2018.03.050
483. Spatiotemporal patterns of PM10 concentrations over China during 2005–2016: A satellite-based estimation using the random forests approach G. Chen et al. 10.1016/j.envpol.2018.07.012
484. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations L. Sogacheva et al. 10.5194/acp-18-16631-2018
485. XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
486. 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
487. Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. 10.1016/j.jqsrt.2014.01.003
488. Development of an improved aerosol product over the Indian subcontinent: Blending model, satellite, and ground-based estimates R. Singh et al. 10.1002/2016JD025335
489. 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
490. An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region M. Zhang et al. 10.3390/rs9111173
491. 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
492. 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
493. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
494. Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural Network X. Ni et al. 10.3390/atmos9030105
495. Surface ozone climatology of South Eastern Brazil and the impact of biomass burning events A. Targino et al. 10.1016/j.jenvman.2019.109645
496. Air Pollution Scenario over China during COVID-19 J. Nichol et al. 10.3390/rs12132100
497. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
498. In situ measured seasonal characteristics of near‐surface aerosols over Bay of Bengal and MODIS‐retrieved columnar properties: A multicampaign analysis S. Aryasree et al. 10.1002/2015JD023418
499. 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
500. 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
501. Evaluating the relative importance of northern African mineral dust sources using remote sensing N. Bakker et al. 10.5194/acp-19-10525-2019
502. Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. 10.1002/2016JD025797
503. Satellite remote sensing of fine particulate air pollutants over Indian mega cities V. Sreekanth et al. 10.1016/j.asr.2017.08.008
504. CESM/CAM5 improvement and application: comparison and evaluation of updated CB05_GE and MOZART-4 gas-phase mechanisms and associated impacts on global air quality and climate J. He et al. 10.5194/gmdd-8-7189-2015
505. Assessment of regional aerosol radiative effects under the SWAAMI campaign – Part 1: Quality-enhanced estimation of columnar aerosol extinction and absorption over the Indian subcontinent H. Pathak et al. 10.5194/acp-19-11865-2019
506. Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing D. Fu et al. 10.1038/s41598-018-28535-2
507. Evaluation of MAIAC aerosol retrievals over China Z. Zhang et al. 10.1016/j.atmosenv.2019.01.013
508. Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. 10.5194/amt-12-3269-2019
509. Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China N. Liu et al. 10.5194/acp-19-8243-2019
510. Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF-Chem simulation with multiple observations Z. Hu et al. 10.5194/gmd-9-1725-2016
511. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. 10.1002/2016JD025469
512. Impacts of 3D Aerosol, Cloud, and Water Vapor Variations on the Recent Brightening during the South Asian Monsoon Season Z. Pan et al. 10.3390/rs10040651
513. Investigating the frequency and trends in global above-cloud aerosol characteristics with CALIOP and OMI R. Alfaro-Contreras et al. 10.5194/acpd-15-4173-2015
514. Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor 10.1029/2019JD031137
515. Predicting Daily Urban Fine Particulate Matter Concentrations Using a Random Forest Model C. Brokamp et al. 10.1021/acs.est.7b05381
516. Estimation of ground-level dry PM2.5 concentrations at 3 km resolution over Beijing using Geostationary Ocean Colour Imager J. Wang & Z. Li 10.1080/2150704X.2020.1795298
517. The climate impact of aerosols on the lightning flash rate: is it detectable from long-term measurements? Q. Wang et al. 10.5194/acp-18-12797-2018
518. Consistent signal of aerosol indirect and semi-direct effect on water clouds in the oceanic regions adjacent to the Indian subcontinent S. Rao & S. Dey 10.1016/j.atmosres.2019.104677
519. Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model T. Zhang et al. 10.3390/ijerph13100974
520. Assessment of PM2.5 concentrations over bright surfaces using MODIS satellite observations M. Sorek-Hamer et al. 10.1016/j.rse.2015.03.014
521. Retrieval of Aerosol Optical Depth from the Himawari-8 Advanced Himawari Imager data: Application over Beijing in the summer of 2016 L. Wang et al. 10.1016/j.atmosenv.2020.117788
522. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison J. Wei et al. 10.1016/j.atmosenv.2018.12.004
523. Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation F. Patadia et al. 10.5194/amt-11-3205-2018
524. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method X. Chen et al. 10.1016/j.rse.2020.112006
525. Development of an operational land water mask for MODIS Collection 6, and influence on downstream data products M. Carroll et al. 10.1080/17538947.2016.1232756
526. An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: Application and validation in Asia X. Yan et al. 10.1016/j.rse.2018.12.012
527. Impact of precursor gases and meteorological variables on satellite-estimated near-surface sulfate and nitrate concentrations over the North China Plain Y. Si et al. 10.1016/j.atmosenv.2018.11.030
528. Impact and Suggestion of Column-to-Surface Vertical Correction Scheme on the Relationship between Satellite AOD and Ground-Level PM2.5 in China W. Gong et al. 10.3390/rs9101038
529. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.8b06392
530. Impact of Desert Dust on Air Quality: What is the Meaningfulness of Daily PM Standards in Regions Close to the Sources? The Example of Southern Tunisia C. Bouet et al. 10.3390/atmos10080452
531. Estimation of PM<sub>10</sub> concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign S. Seo et al. 10.5194/acp-15-319-2015
532. Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
533. Bayesian geostatistical modelling of PM10 and PM2.5 surface level concentrations in Europe using high-resolution satellite-derived products A. Beloconi et al. 10.1016/j.envint.2018.08.041
534. Evaluation of Himawari-8 version 2.0 aerosol products against AERONET ground-based measurements over central and northern China L. Wang et al. 10.1016/j.atmosenv.2020.117357
535. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. 10.1029/2019GL085601
536. GOES-16 ABI solar reflective channel validation for earth science application J. McCorkel et al. 10.1016/j.rse.2019.111438
537. Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. 10.3390/rs12020251
538. Analysis of global three-dimensional aerosol structure with spectral radiance matching D. Liu et al. 10.5194/amt-12-6541-2019
539. Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks H. Andersen et al. 10.5194/acp-17-9535-2017
540. Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees J. Wei et al. 10.5194/acp-20-3273-2020
541. Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter B. Ford & C. Heald 10.5194/acpd-15-25329-2015
542. Evaluation of satellite-based aerosol datasets and the CAMS reanalysis over the ocean utilizing shipborne reference observations J. Witthuhn et al. 10.5194/amt-13-1387-2020
543. Interannual and Seasonal Variations in the Atmospheric Aerosol Optical Depth in the Region of Tomsk (1995–2018) D. Kabanov et al. 10.1134/S1024856019060071
544. Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations C. Gueymard & D. Yang 10.1016/j.atmosenv.2019.117216
545. The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 A. Sinyuk et al. 10.5194/amt-13-3375-2020
546. Identifying sources of dust aerosol using a new framework based on remote sensing and modelling O. Rahmati et al. 10.1016/j.scitotenv.2020.139508
547. Spatial Variability of AERONET Aerosol Optical Properties and Satellite Data in South Korea during NASA DRAGON-Asia Campaign H. Lee & Y. Son 10.1021/acs.est.5b04831
548. Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information G. Chen et al. 10.1016/j.envpol.2017.10.011
549. Simulating effects of aerosols on rainfall in southern Africa S. Henriksson et al. 10.1007/s11869-018-0619-8
550. Long term analysis of the columnar and surface aerosol relationship at an urban European coastal site S. Segura et al. 10.1016/j.atmosenv.2017.08.012
551. Comparison of aerosol optical depth from satellite (MODIS), sun photometer and broadband pyrheliometer ground-based observations in Cuba J. Antuña-Marrero et al. 10.5194/amt-11-2279-2018
552. Impact of the choice of the satellite aerosol optical depth product in a sub-regional dust emission inversion J. Escribano et al. 10.5194/acp-17-7111-2017
553. Does the modern-era retrospective analysis for research and applications-2 aerosol reanalysis introduce an improvement in the simulation of surface solar radiation over China? F. Feng & K. Wang 10.1002/joc.5881
554. Caribbean Air Chemistry and Dispersion Conditions M. Jury 10.3390/atmos8080151
555. Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach T. Zheng et al. 10.1016/j.atmosenv.2020.117451
556. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
557. Development of a model for particulate matter pollution in Australia with implications for other satellite-based models G. Pereira et al. 10.1016/j.envres.2017.07.044
558. Aerosol contamination survey during dust storm process in Northwestern China using ground, satellite observations and atmospheric modeling data M. Filonchyk et al. 10.1007/s00704-017-2362-8
559. Artificial bias typically neglected in comparisons of uncertain atmospheric data M. Pitkänen et al. 10.1002/2016GL070852
560. A theoretical study of the effect of subsurface oceanic bubbles on the enhanced aerosol optical depth band over the southern oceans as detected from MODIS M. Christensen et al. 10.5194/amtd-7-12795-2014
561. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. 10.5194/acp-18-14889-2018
562. Analysis of AOD from MODIS-Merged DT–DB Products Over the Arabian Peninsula M. Ali & M. Assiri 10.1007/s41748-019-00108-x
563. Clear-Sky Surface Solar Radiation and the Radiative Effect of Aerosol and Water Vapor Based on Simulations and Satellite Observations over Northern China G. Zhang & Y. Ma 10.3390/rs12121931
564. Spatio-temporal variations in PM<sub>10</sub> concentrations over Seoul estimated using multiple empirical models together with AERONET and MODIS data collected during the DRAGON-Asia campaign S. Seo et al. 10.5194/acpd-14-21709-2014
565. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
566. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
567. Fifteen-Year Global Time Series of Satellite-Derived Fine Particulate Matter B. Boys et al. 10.1021/es502113p
568. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. 10.5194/gmd-13-2981-2020
569. Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia Y. Ma et al. 10.1016/j.atmosres.2018.12.024
570. Above-cloud aerosol optical depth from airborne observations in the southeast Atlantic S. LeBlanc et al. 10.5194/acp-20-1565-2020
571. Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China D. Li et al. 10.3390/rs12060978
572. A practical set of miniaturized instruments for vertical profiling of aerosol physical properties H. Telg et al. 10.1080/02786826.2017.1296103
573. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
574. The Sensitivity of SeaWiFS Ocean Color Retrievals to Aerosol Amount and Type R. Kahn et al. 10.1175/JTECH-D-15-0121.1
575. Radiative characteristics of near-surface aerosols at a tropical site: An estimation based on concurrent measurements of their physico-chemical characteristics S. Aryasree et al. 10.1007/s12040-020-01444-7
576. Evaluation and improvement of MODIS aerosol optical depth products over China Y. Li et al. 10.1016/j.atmosenv.2019.117251
577. Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes? H. Jia et al. 10.5194/acp-19-8879-2019
578. Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model J. Li et al. 10.3390/ijerph13080772
579. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
580. Observed aerosol-induced radiative effect on plant productivity in the eastern United States S. Strada et al. 10.1016/j.atmosenv.2015.09.051
581. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. 10.1029/2018JG004974
582. Sensitivity Analysis Method for Spectral Band Adjustment between Hyperspectral Sensors: A Case Study Using the CLARREO Pathfinder and HISUI K. Obata 10.3390/rs11111367
583. Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM2.5 concentrations at 1 km resolution in the Eastern United States D. Goldberg et al. 10.1016/j.atmosenv.2018.11.049
584. Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring Z. Li et al. 10.3390/rs11020122
585. Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
586. Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5 T. Li et al. 10.1016/j.isprsjprs.2020.06.019
587. Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
588. Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data M. Garay et al. 10.5194/acp-17-5095-2017
589. Analysis of remotely sensed and surface data of aerosols and meteorology for the Mexico Megalopolis Area between 2003 and 2015 M. Mora et al. 10.1002/2017JD026739
590. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning R. Houborg & M. McCabe 10.1016/j.isprsjprs.2017.10.004
591. Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger 10.5194/amt-8-4699-2015
592. Three-dimensional dust aerosol distribution and extinction climatology over northern Africa simulated with the ALADIN numerical prediction model from 2006 to 2010 M. Mokhtari et al. 10.5194/acp-15-9063-2015
593. Detection of cloud cover using dynamic thresholds and radiative transfer models from the polarization satellite image C. Li et al. 10.1016/j.jqsrt.2018.10.026
594. A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. 10.5194/amt-12-1739-2019
595. Retrieval of black carbon aerosol surface concentration using satellite remote sensing observations F. Bao et al. 10.1016/j.rse.2019.03.036
596. Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP) S. Shrestha et al. 10.3390/atmos9100405
597. Estimation of PM_2.5 Concentrations over Beijing with MODIS AODs Using an Artificial Neural Network H. Lyu et al. 10.2151/sola.2018-003
598. Evaluation of MODIS Collection 6 aerosol retrieval algorithms over Indo-Gangetic Plain: Implications of aerosols types and mass loading A. Mhawish et al. 10.1016/j.rse.2017.09.016
599. Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 1: Sensitivity of the AOD distribution to the representation time scale J. Ruiz-Arias et al. 10.1016/j.solener.2016.06.026
600. Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations T. Wu et al. 10.3390/atmos8100201
601. Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets Y. Wang et al. 10.5194/amt-13-575-2020
602. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm Y. Wang et al. 10.3390/rs9040397
603. Estimation of aerosol properties over the Chinese desert region with MODIS AOD assimilation in a global model X. Yin et al. 10.1016/j.accre.2016.04.001
604. Variations and photochemical transformations of atmospheric constituents in North China J. Bai et al. 10.1016/j.atmosenv.2018.07.004
605. Relationship Between MODIS-based Aerosol Optical Depth and PM10 over Sumatra to Overcome the Limitations of Air Quality Monitoring Data Availability S. Syafrijon et al. 10.13005/ojc/3404058
606. A theoretical study of the effect of subsurface oceanic bubbles on the enhanced aerosol optical depth band over the southern oceans as detected from MODIS and MISR M. Christensen et al. 10.5194/amt-8-2149-2015
607. Assessment of dominating aerosol properties and their long-term trend in the Pan-Third Pole region: A study with 10-year multi-sensor measurements T. Wang et al. 10.1016/j.atmosenv.2020.117738
608. Development of an infrared pollution index to identify ground-level compositional, particle size, and humidity changes using Himawari-8 M. Sowden et al. 10.1016/j.atmosenv.2020.117435
609. Impact of the Dust Aerosol Model on the VIIRS Aerosol Optical Depth (AOD) Product across China Y. Wang et al. 10.3390/rs12060991
610. Adaption of the MODIS aerosol retrieval algorithm by airborne spectral surface reflectance measurements over urban areas: a case study E. Jäkel et al. 10.5194/amtd-8-7335-2015
611. Aerosol Optical Depth Over India L. David et al. 10.1002/2017JD027719
612. A New Satellite-Based Global Climatology of Dust Aerosol Optical Depth K. Voss & A. Evan 10.1175/JAMC-D-19-0194.1
613. Overview of atmospheric aerosol studies in Malaysia: Known and unknown K. Kanniah et al. 10.1016/j.atmosres.2016.08.002
614. Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
615. Variability of mineral dust deposition in the western Mediterranean basin and South-East of France J. Vincent et al. 10.5194/acpd-15-34673-2015
616. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
617. A simplified aerosol retrieval algorithm for Himawari-8 Advanced Himawari Imager over Beijing Z. Zhang et al. 10.1016/j.atmosenv.2018.11.023
618. UV Reflectance of the Ocean from DSCOVR/EPIC: Comparisons with a Theoretical Model and Aura/OMI Observations A. Vasilkov et al. 10.1175/JTECH-D-18-0150.1
619. Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan G. Ali et al. 10.1016/j.jastp.2018.12.008
620. Climatology of aerosol optical depth over Eastern Europe based on 19 years (2000–2018) MODIS TERRA data M. Filonchyk et al. 10.1002/joc.6412
621. High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS P. Gupta et al. 10.3390/rs12172847
622. Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions P. Gupta et al. 10.5194/amt-11-3145-2018
623. Aerosol meteorology of Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 2: Philippine receptor observations of fine-scale aerosol behavior J. Reid et al. 10.5194/acp-16-14057-2016
624. How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
625. Impact of mineral dust on shortwave and longwave radiation: evaluation of different vertically resolved parameterizations in 1-D radiative transfer computations M. Granados-Muñoz et al. 10.5194/acp-19-523-2019
626. Temporal‐Scale Analysis of Environmental Controls on Sea Spray Aerosol Production Over the South Pacific Gyre T. Dror et al. 10.1029/2018GL078707
627. Evaluating the potential for application of MODIS satellite data for urban air quality monitoring in Vietnam B. Hieu et al. 10.1088/1757-899X/869/2/022035
628. Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
629. Lightning and Associated Convection Features in the Presence of Absorbing Aerosols Over Northern Alabama T. Ren et al. 10.1029/2019JD031544
630. Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran M. Foroushani et al. 10.1007/s40333-020-0079-5
631. Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation R. Sullivan et al. 10.1002/2016JD025568
632. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
633. Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product E. Zhdanova et al. 10.5194/amt-13-877-2020
634. Tracking ambient PM2.5 build-up in Delhi national capital region during the dry season over 15 years using a high-resolution (1 km) satellite aerosol dataset S. Chowdhury et al. 10.1016/j.atmosenv.2019.02.029
635. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
636. Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
637. Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al. 10.5194/acp-19-13445-2019
638. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China A. Fan et al. 10.3390/rs9121269
639. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
640. A Physically Based PM<inline-formula> <tex-math notation="LaTeX">$_{\text{2.5}}$</tex-math> </inline-formula> Estimation Method Using AERONET Data in Beijing Area G. Chen et al. 10.1109/JSTARS.2018.2817243
641. The value of satellite observations in the analysis and short-range prediction of Asian dust A. Benedetti et al. 10.5194/acp-19-987-2019
642. Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets K. Hu et al. 10.1007/s11356-017-0715-6
643. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
644. Historical (1850–2014) Aerosol Evolution and Role on Climate Forcing Using the GISS ModelE2.1 Contribution to CMIP6 S. Bauer et al. 10.1029/2019MS001978
645. Estimation of daily photosynthetically active radiation (PAR) in presence of low to high aerosol loads: application to OLCI-like satellite data T. Harmel & M. Chami 10.1364/OE.24.0A1390
646. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data K. Sun et al. 10.3390/rs9010089
647. Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing K. Cai et al. 10.3390/s18113950
648. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China? M. Tao et al. 10.3390/rs9080800
649. Investigating the relationship between aerosol and cloud optical properties inferred from the MODIS sensor in recent decades over East China J. Huang et al. 10.1016/j.atmosenv.2020.117812
650. Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China J. Wei & L. Sun 10.1109/JSTARS.2016.2595624
651. Daily Estimation of Ground-Level PM2.5 Concentrations over Beijing Using 3 km Resolution MODIS AOD Y. Xie et al. 10.1021/acs.est.5b01413
652. Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products J. Wei et al. 10.1016/j.atmosenv.2019.01.016
653. 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
654. Improving satellite-retrieved aerosol microphysical properties using GOCART data S. Li et al. 10.5194/amt-8-1157-2015
655. The Influence of Air-Sea Fluxes on Atmospheric Aerosols During the Summer Monsoon Over the Tropical Indian Ocean A. Zavarsky et al. 10.1002/2017GL076410
656. Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China H. Shang et al. 10.1002/2016JD025659
657. Aerosol Optical Depth from MODIS satellite data above the Pierre Auger Observatory N. Borodai et al. 10.1051/epjconf/201919702011
658. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index J. Sun et al. 10.5194/amt-11-5261-2018
659. Observed Covariations of Aerosol Optical Depth and Cloud Cover in Extratropical Cyclones C. Naud et al. 10.1002/2017JD027240
660. MISR calibration issues in high-contrast scenes, and empirical corrections J. Limbacher & R. Kahn 10.5194/amtd-8-2521-2015
661. Orbital Observations of Dust Lofted by Daytime Convective Turbulence L. Fenton et al. 10.1007/s11214-016-0243-6
662. Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter B. Ford & C. Heald 10.5194/acp-16-3499-2016
663. Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products J. Wei et al. 10.1016/j.scitotenv.2019.07.326
664. Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
665. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain J. Zhu et al. 10.3390/rs9050432
666. Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP E. Proestakis et al. 10.5194/acp-18-1337-2018
667. A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid M. Bilal et al. 10.3390/rs10030463
668. Saharan dust and biomass burning aerosols during ex-hurricane Ophelia: observations from the new UK lidar and sun-photometer network M. Osborne et al. 10.5194/acp-19-3557-2019
669. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
670. Improved Aerosol Optical Depth and Ångstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model . Leiku Yang et al. 10.1109/LGRS.2014.2303317
671. Satellite-Based Spatiotemporal Trends in PM 2.5 Concentrations: China, 2004–2013 Z. Ma et al. 10.1289/ehp.1409481
672. Aqua and Terra MODIS RSB Calibration Comparison Using BRDF Modeled Reflectance T. Chang et al. 10.1109/TGRS.2016.2641258
673. Investigating the frequency and interannual variability in global above-cloud aerosol characteristics with CALIOP and OMI R. Alfaro-Contreras et al. 10.5194/acp-16-47-2016
674. The climatology of dust events over the European continent using data of the BSC-DREAM8b model F. Mandija et al. 10.1016/j.atmosres.2018.03.006
675. MISR Radiance Anomalies Induced by Stratospheric Volcanic Aerosols D. Wu et al. 10.3390/rs10121875
676. 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
677. PM&lt;sub&gt;2.5&lt;/sub&gt; ∕ PM&lt;sub&gt;10&lt;/sub&gt; ratio prediction based on a long short-term memory neural network in Wuhan, China X. Wu et al. 10.5194/gmd-13-1499-2020
678. Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation Y. Wang et al. 10.1016/j.isprsjprs.2019.08.017
679. Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods Y. Choi et al. 10.1029/2019MS001890
680. Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia J. Nam et al. 10.1007/s11869-017-0517-5
681. Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
682. Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
683. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
684. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.5b05833
685. 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
686. Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging Y. Wang et al. 10.1016/j.atmosenv.2020.117548
687. 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
688. A surface reflectance scheme for retrieving aerosol optical depth over urban surfaces in MODIS Dark Target retrieval algorithm P. Gupta et al. 10.5194/amt-9-3293-2016
689. Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region M. Ahmad et al. 10.1016/j.scitotenv.2019.134356
690. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
691. Reconstruction of historical aerosol optical depth time series over Romania during summertime A. Dumitrescu et al. 10.1002/joc.5118
692. Estimating ground-level PM2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model Y. Guo et al. 10.1016/j.rse.2017.06.001
693. 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
694. Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. 10.5194/amt-11-925-2018
695. 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
696. Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties H. Wang et al. 10.1029/2019EA000903
697. Investigation on spatiotemporal distribution of aerosol optical properties over two oceanic regions surrounding Indian subcontinent during summer monsoon season C. Vachaspati et al. 10.1007/s11356-018-2682-y
698. 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
699. 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
700. Evaluation of the MODIS C6 Aerosol Optical Depth Products over Chongqing, China G. Shi et al. 10.3390/atmos8110227
701. Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data A. Beloconi et al. 10.1016/j.rse.2015.10.017
702. 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
703. Observation-Based Study on Aerosol Optical Depth and Particle Size in Partly Cloudy Regions T. Várnai et al. 10.1002/2017JD027028
704. Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8 Y. Xie et al. 10.1109/TGRS.2019.2944949
705. 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
706. 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
707. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
708. Solar UV radiation measurements in Marambio, Antarctica, during years 2017–2019 M. Aun et al. 10.5194/acp-20-6037-2020
709. Assessment and Improvement of MISR Angstrom Exponent and Single-Scattering Albedo Products Using AERONET Data in China Y. Si et al. 10.3390/rs9070693
710. 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
711. High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. 10.1029/2018JD028588
712. 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
713. An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data Q. Xiao et al. 10.1021/acs.est.8b02917
714. 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
715. 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
716. 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
717. 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
718. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM2.5 concentrations in Taiwan from 2005 to 2015 C. Jung et al. 10.1016/j.envpol.2017.11.016
719. Effect of dust loadings, meteorological conditions, and local emissions on aerosol mixing and loading variability over highly urbanized semiarid countries: United Arab Emirates case study A. Abuelgasim & A. Farahat 10.1016/j.jastp.2020.105215
720. 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
721. Examining Intrinsic Aerosol-Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. 10.1029/2017JD028232
722. 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
723. 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
724. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
725. 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
726. 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
727. MISR empirical stray light corrections in high-contrast scenes J. Limbacher & R. Kahn 10.5194/amt-8-2927-2015
728. 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
729. Terra and Aqua MODIS TEB intercomparison using Himawari-8/AHI as reference T. Chang et al. 10.1117/1.JRS.13.017501
730. Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions J. He et al. 10.1002/2014MS000360
731. Trends and Variability in Aerosol Optical Depth over North China from MODIS C6 Aerosol Products during 2001–2016 P. Wang et al. 10.3390/atmos8110223
732. Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations D. Ahn et al. 10.1186/s40645-019-0277-y
733. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. 10.3390/rs10010137
734. Using MODIS cloud regimes to sort diagnostic signals of aerosol-cloud-precipitation interactions L. Oreopoulos et al. 10.1002/2016JD026120
735. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. 10.1002/2015JD024729
736. 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
737. 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
738. Satellites See the World’s Atmosphere S. Ackerman et al. 10.1175/AMSMONOGRAPHS-D-18-0009.1
739. Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. 10.3390/rs10040573
740. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation L. She et al. 10.3390/rs10040490
741. 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
742. 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
743. 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
744. 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
745. 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
746. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
747. 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
748. 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
749. Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni 10.1016/j.rsase.2020.100412
750. Evaluating Aerosol Optical Depth From Himawari‐8 With Sun Photometer Network W. Wang et al. 10.1029/2018JD028599
751. Validation of ESA Sentinel-2 L2A Aerosol Optical Thickness and Columnar Water Vapour during 2017–2018 M. Obregón et al. 10.3390/rs11141649
752. 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
753. 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
754. Spatial variability of aerosols over Greek archaeological sites using Space-Borne Remote Sensing A. Sakka et al. 10.1016/j.culher.2020.07.001
755. Retrieval and validation of aerosol optical depth using GF-1 WFV cameras data X. Wang et al. 10.1016/j.asr.2019.10.023
756. 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
757. 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
758. 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
759. 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
760. Retrievals of aerosol layer height during dust events over the taklimakan and gobi desert S. Chen et al. 10.1016/j.jqsrt.2020.107198
761. 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
762. 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
763. 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
764. Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. 10.5194/amt-11-5813-2018
765. Increased aerosol content in the atmosphere over Ukraine during summer 2010 E. Galytska et al. 10.5194/amt-11-2101-2018
766. 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
767. 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
768. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
769. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area X. Tian & Z. Gao 10.3390/atmos10090548
770. Recent Increase in Winter Hazy Days over Central India and the Arabian Sea A. Thomas et al. 10.1038/s41598-019-53630-3
771. Aerosol optical depth retrieval from visibility in China during 1973–2014 Z. Zhang et al. 10.1016/j.atmosenv.2017.09.004
772. 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
773. Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China Y. Che et al. 10.1016/j.isprsjprs.2018.09.004
774. 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
775. 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
776. The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM2.5 Mass and Composition J. Belle et al. 10.3390/ijerph14101244
777. A Decade of Aerosol Optical Properties Measurements over Athens, Greece I. Raptis et al. 10.3390/atmos11020154
778. Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC 4 RS R. Spencer et al. 10.1029/2018JD028989
779. Regional sulfate drives long-term rise in AOD over megacity Kolkata, India P. Rawat et al. 10.1016/j.atmosenv.2019.04.031
780. Pollution Trends in China from 2000 to 2017: A Multi-Sensor View from Space J. Li 10.3390/rs12020208
781. 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
782. Retrieval of Aerosol Optical Depth over Arid Areas from MODIS Data X. Tian & L. Sun 10.3390/atmos7100134
783. 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
784. Validation of POLDER-3/GRASP aerosol products using AERONET measurements over China Y. Tan et al. 10.1016/j.atmosenv.2019.116893
785. Aerosols characteristics, trends and their climatic implications over Northeast India and adjoining South Asia P. Dahutia et al. 10.1002/joc.5240
786. An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska A. McPhetres & S. Aggarwal 10.3390/rs10091384
787. Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
788. Anthropogenic aerosol emissions mapping and characterization by imaging spectroscopy – application to a metallurgical industry and a petrochemical complex Y. Philippets et al. 10.1080/01431161.2018.1513665
789. Long-term characteristics of satellite-based PM2.5 over East China Q. He et al. 10.1016/j.scitotenv.2017.09.027
790. MODIS 3 km aerosol product: applications over land in an urban/suburban region L. Munchak et al. 10.5194/amt-6-1747-2013
791. Opposite Aerosol Index‐Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans X. Ma et al. 10.1029/2018GL077562
792. A parameterization scheme of aerosol vertical distribution for surface-level visibility retrieval from satellite remote sensing Q. He et al. 10.1016/j.rse.2016.03.016
793. Retrieval and Validation of Aerosol Optical Properties Using Japanese Next Generation Meteorological Satellite, Himawari-8 H. Lim et al. 10.7780/kjrs.2016.32.6.12
794. Satellite-based identification of aerosol particle species using a 2D-space aerosol classification model Q. Mao et al. 10.1016/j.atmosenv.2019.117057
795. A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation B. Ge et al. 10.1109/TGRS.2018.2854743
796. Turbidity coefficients from normal direct solar irradiance in Central Spain J. Bilbao et al. 10.1016/j.atmosres.2014.02.007
797. Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential J. Ruiz-Arias et al. 10.1038/srep30546
798. Application of spectral analysis techniques to the intercomparison of aerosol data – Part 4: Combined maximum covariance analysis to bridge the gap between multi-sensor satellite retrievals and ground-based measurements J. Li et al. 10.5194/amtd-7-3503-2014
799. Review of aerosol optical depth retrieval using visibility data S. Zhang et al. 10.1016/j.earscirev.2019.102986
800. Improved estimation of PM2.5 using Lagrangian satellite-measured aerosol optical depth R. Saunders et al. 10.1016/j.atmosenv.2014.03.060
801. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
802. Atmospheric transparency over central Yakutia from the sun photometer data in 2004—2014 M. Vasiliev et al. 10.3103/S1068373917110024
803. Satellite-based high-resolution PM2.5 estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model Q. He & B. Huang 10.1016/j.envpol.2018.01.053
804. Estimating surface visibility at Hong Kong from ground-based LIDAR, sun photometer and operational MODIS products M. Shahzad et al. 10.1080/10962247.2013.801372
805. AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
806. Multi-satellite aerosol observations in the vicinity of clouds T. Várnai et al. 10.5194/acp-13-3899-2013
807. Improvement of snow/haze confusion data gaps in MODIS Dark Target aerosol retrievals in East China X. Zhang et al. 10.1016/j.atmosres.2020.105063
808. Retrieval of dust storm aerosols using an integrated Neural Network model F. Xiao et al. 10.1016/j.cageo.2015.02.016
809. Spatio-temporal variability of Suomi-NPP VIIRS-derived aerosol optical thickness over China in 2013 F. Meng et al. 10.1016/j.rse.2015.03.005
810. Long-Term Analysis of Aerosol Optical Depth over the Huaihai Economic Region (HER): Possible Causes and Implications Y. Shen et al. 10.3390/atmos9030093
811. A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions A. Chudnovsky et al. 10.5194/acp-13-10907-2013
812. A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. 10.1007/s13143-020-00215-0
813. Satellite-based assessment of direct aerosol radiative forcing using a look-up table established through AERONET observations Q. Mao et al. 10.1016/j.infrared.2019.103017
814. Spatiotemporal coherence of mean and extreme aerosol particle events over eastern North America as observed from satellite R. Sullivan et al. 10.1016/j.atmosenv.2015.04.026
815. Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images L. Sun et al. 10.3390/rs8010023
816. The October 2017 red sun phenomenon over the UK D. Moore 10.1002/wea.3440
817. Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET J. Huang et al. 10.1002/2016JD024834
818. Comparison between MODIS-derived day and night cloud cover and surface observations over the North China Plain X. Zhang et al. 10.1007/s00376-017-7070-x
819. Suomi-NPP VIIRS aerosol algorithms and data products J. Jackson et al. 10.1002/2013JD020449
820. Application of Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) and Weather Research Forecasting (WRF) model meteorological data for assessment of fine particulate matter (PM2.5) over India Y. Sathe et al. 10.1016/j.apr.2018.08.016
821. Impact of Moderate Resolution Imaging Spectroradiometer (MODIS) cloud mask interpretation on cloud amount estimation A. Kotarba 10.1002/2015JD023277
822. Estimating urban ground-level PM10 using MODIS 3km AOD product and meteorological parameters from WRF model S. Ghotbi et al. 10.1016/j.atmosenv.2016.06.057
823. Multi-decadal variations of atmospheric aerosols from 1980 to 2009: sources and regional trends T. Diehl et al. 10.5194/acpd-13-19751-2013
824. How well do satellite AOD observations represent the spatial and temporal variability of PM 2.5 concentration for the United States? J. Li et al. 10.1016/j.atmosenv.2014.12.010
825. Long-time series aerosol optical depth retrieval from AVHRR data over land in North China and Central Europe Y. Xue et al. 10.1016/j.rse.2017.06.036
826. Spatiotemporal patterns of aerosol optical depth throughout China from 2003 to 2016 Q. He et al. 10.1016/j.scitotenv.2018.10.307
827. Application of spectral analysis techniques in the intercomparison of aerosol data: Part III. Using combined PCA to compare spatiotemporal variability of MODIS, MISR, and OMI aerosol optical depth J. Li et al. 10.1002/2013JD020538
828. Mapping PM2.5 concentration at high resolution using a cascade random forest based downscaling model: Evaluation and application Q. Yang et al. 10.1016/j.jclepro.2020.123887
829. Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach Q. Yang et al. 10.1016/j.isprsjprs.2020.05.018
830. Three-dimensional structure of aerosol in China: A perspective from multi-satellite observations J. Guo et al. 10.1016/j.atmosres.2016.05.010
831. Toward the next generation of air quality monitoring: Particulate Matter J. Engel-Cox et al. 10.1016/j.atmosenv.2013.08.016
832. Incorporation of advanced aerosol activation treatments into CESM/CAM5: model evaluation and impacts on aerosol indirect effects B. Gantt et al. 10.5194/acpd-13-32291-2013
833. The Impact of Winter Heating on Air Pollution in China Q. Xiao et al. 10.1371/journal.pone.0117311
834. Impact of Southeast Asian smoke on aerosol properties in Southwest China: First comparison of model simulations with satellite and ground observations J. Zhu et al. 10.1002/2016JD025793
835. Comparison of MODIS 3 km and 10 km resolution aerosol optical depth retrievals over land with airborne sunphotometer measurements during ARCTAS summer 2008 J. Livingston et al. 10.5194/acpd-13-15007-2013
836. Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data A. Sayer et al. 10.1002/jgrd.50600
837. MODIS 3 km aerosol product: algorithm and global perspective L. Remer et al. 10.5194/amt-6-1829-2013
838. A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database L. Sun et al. 10.1002/2015JD024722
839. Spatial-temporal characteristics of aerosol loading over the Yangtze River Basin during 2001-2015 M. Zhang et al. 10.1002/joc.5324
840. Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. 10.5467/JKESS.2018.39.2.119
841. Aerosol optical depth retrieval over snow using AATSR data L. Mei et al. 10.1080/01431161.2013.786197
842. Study of aerosol optical properties at Kunming in southwest China and long-range transport of biomass burning aerosols from North Burma J. Zhu et al. 10.1016/j.atmosres.2015.10.012
843. MODIS 3 km aerosol product: applications over land in an urban/suburban region L. Munchak et al. 10.5194/amtd-6-1683-2013
844. Spatial boundaries of Aerosol Robotic Network observations over the Mediterranean basin A. Mishra et al. 10.1002/2015GL067630
845. Optimal estimation for global ground-level fine particulate matter concentrations A. van Donkelaar et al. 10.1002/jgrd.50479
846. Preliminary evaluation of S-NPP VIIRS aerosol optical thickness H. Liu et al. 10.1002/2013JD020360
847. Aerosol radiative effects from observations and modelling over the Yangtze River Basin, China from 2001 to 2015 L. Yu et al. 10.1002/joc.6033
848. Temporal Variability and Characterization of Aerosols across the Pakistan Region during the Winter Fog Periods M. Khokhar et al. 10.3390/atmos7050067
849. Fine particulate matter predictions using high resolution Aerosol Optical Depth (AOD) retrievals A. Chudnovsky et al. 10.1016/j.atmosenv.2014.02.019
850. Validation of MODIS C6 AOD products retrieved by the Dark Target method in the Beijing–Tianjin–Hebei urban agglomeration, China J. Zhang et al. 10.1007/s00376-016-6217-5