901 citations as recorded by crossref.

1. Impact of Urban Growth on Air Quality in Indian Cities Using Hierarchical Bayesian Approach P. Misra et al. 10.3390/atmos10090517
2. Modulation of Atlantic aerosols by the Madden-Julian Oscillation B. Tian et al. 10.1029/2010JD015201
3. An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. 10.1109/JSTARS.2024.3408251
4. Long-term Aerosol Characteristics over Eastern, Southeastern, and South Coalfield Regions in India K. Soni et al. 10.1007/s11270-013-1832-6
5. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals Y. Shi et al. 10.5194/acp-19-259-2019
6. The main inherent uncertainty sources in trend estimation based on satellite remote sensing data J. Wen et al. 10.1007/s00704-022-04312-0
7. Daily and Hourly Surface PM2.5 Estimation From Satellite AOD H. Zhang & S. Kondragunta 10.1029/2020EA001599
8. Retrieval and Validation of AOD from Himawari-8 Data over Bohai Rim Region, China Q. Wang et al. 10.3390/rs12203425
9. Uncertainty and variability in satellite-based water vapor column, aerosol optical depth and Angström exponent, and its effect on radiative transfer simulations in the Iberian Peninsula R. Román et al. 10.1016/j.atmosenv.2014.02.027
10. Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land W. Zhang et al. 10.3390/rs11091108
11. Global satellite analysis of the relation between aerosols and short-lived trace gases J. Veefkind et al. 10.5194/acp-11-1255-2011
12. 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
13. Statistical variability comparison in MODIS and AERONET derived aerosol optical depth over Indo-Gangetic Plains using time series modeling K. Soni et al. 10.1016/j.scitotenv.2016.02.075
14. Satellite remote sensing of fine particulate matter (PM2.5) air quality over Beijing using MODIS Y. Guo et al. 10.1080/01431161.2014.958245
15. Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
16. 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
17. Remote sensing of atmospheric particulate mass of dry PM2.5 near the ground: Method validation using ground-based measurements Z. Li et al. 10.1016/j.rse.2015.11.019
18. Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements F. Zheng et al. 10.3390/atmos10040196
19. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. 10.5194/acp-18-2687-2018
20. Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS A. Sayer et al. 10.5194/amt-5-1761-2012
21. Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia Y. Kang et al. 10.1016/j.isprsjprs.2021.11.016
22. Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. 10.1080/17538947.2024.2344580
23. Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations T. Fan et al. 10.1002/joc.5490
24. Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
25. 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
26. Long term influence of groundwater preservation policy on stubble burning and air pollution over North-West India Y. Kant et al. 10.1038/s41598-022-06043-8
27. Aerosol dipole pattern over India: consequences on rainfall and relation with wind circulations N. Vissa & B. Tyagi 10.1007/s11600-021-00688-1
28. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. 10.5194/acp-15-6159-2015
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35. 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
36. Spatiotemporal variations and relationships of aerosol-radiation-ecosystem productivity over China during 2001–2014 W. Xue et al. 10.1016/j.scitotenv.2020.140324
37. A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa L. Yang et al. 10.1016/j.jag.2024.104068
38. 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
39. Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
40. The aerosol effect on direct normal irradiance in Europe under clear skies E. Nikitidou et al. 10.1016/j.renene.2014.02.034
41. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
42. A Decade of Aerosol Optical Properties Measurements over Athens, Greece I. Raptis et al. 10.3390/atmos11020154
43. Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes B. Zhao et al. 10.1088/1748-9326/aa6cb2
44. 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
45. Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. 10.1029/2021JD034809
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47. Aerosol Optical Properties over South Asia from Ground-Based Observations and Remote Sensing: A Review S. Ramachandran & S. Kedia 10.3390/cli1030084
48. Evaluation of spatio-temporal variability of Hamburg Aerosol Climatology against aerosol datasets from MODIS and CALIOP V. Pappas et al. 10.5194/acp-13-8381-2013
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51. Multi-sensor Aerosol Products Sampling System (MAPSS) M. Petrenko et al. 10.5194/amt-5-913-2012
52. Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? J. Xing et al. 10.5194/acp-15-9997-2015
53. A comparison study between AOD data from MODIS deep blue collections 51 and 06 and from AERONET over Saudi Arabia M. Almazroui 10.1016/j.atmosres.2019.03.040
54. An Improved Global Land Anthropogenic Aerosol Product Based on Satellite Retrievals From 2008 to 2016 C. Liang et al. 10.1109/LGRS.2020.2991730
55. Observed aerosol-induced radiative effect on plant productivity in the eastern United States S. Strada et al. 10.1016/j.atmosenv.2015.09.051
56. Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa A. Farahat 10.5194/angeo-37-49-2019
57. Distinguishing Emission-Associated Ambient Air PM2.5 Concentrations and Meteorological Factor-Induced Fluctuations Q. Zhong et al. 10.1021/acs.est.8b02685
58. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. 10.1029/2018JD029598
59. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
60. Long-term multidataset direct aerosol radiative forcing and its efficiencies: Intercomparisons and uncertainties X. Xu et al. 10.1016/j.atmosres.2021.105964
61. Analysis of influential factors for the relationship between PM<sub>2.5</sub> and AOD in Beijing C. Zheng et al. 10.5194/acp-17-13473-2017
62. An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
63. Impact of anomalous forest fire on aerosol radiative forcing and snow cover over Himalayan region K. Bali et al. 10.1016/j.atmosenv.2016.11.061
64. Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. 10.1016/j.envpol.2016.11.043
65. A nonlinear model for estimating ground-level PM10 concentration in Xi'an using MODIS aerosol optical depth retrieval W. You et al. 10.1016/j.atmosres.2015.09.008
66. Exploiting TERRA-AQUA MODIS Relationship in the Reflective Solar Bands for Aerosol Retrieval X. Fan & Y. Liu 10.3390/rs8120996
67. Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol I. Stachlewska et al. 10.3390/rs10030412
68. A 4-D climatology (1979–2009) of the monthly tropospheric aerosol optical depth distribution over the Mediterranean region from a comparative evaluation and blending of remote sensing and model products P. Nabat et al. 10.5194/amt-6-1287-2013
69. Population Exposure to Ambient PM_2.5 at the Subdistrict Level in China Y. Long et al. 10.2139/ssrn.2486602
70. Validation of POLDER-3/GRASP aerosol products using AERONET measurements over China Y. Tan et al. 10.1016/j.atmosenv.2019.116893
71. Impact of Snow Darkening by Deposition of Light-Absorbing Aerosols on Snow Cover in the Himalayas–Tibetan Plateau and Influence on the Asian Summer Monsoon: A Possible Mechanism for the Blanford Hypothesis W. Lau & K. Kim 10.3390/atmos9110438
72. Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management S. Popescu et al. 10.3389/fenvs.2024.1336088
73. Global observations of aerosol-cloud-precipitation-climate interactions D. Rosenfeld et al. 10.1002/2013RG000441
74. Reconciling satellite-derived atmospheric properties with fine-resolution land imagery: Insights for atmospheric correction P. Zelazowski et al. 10.1029/2010JD015488
75. 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
76. A geostatistical approach for producing daily Level-3 MODIS aerosol optical depth analyses J. Ruiz-Arias et al. 10.1016/j.atmosenv.2013.07.002
77. 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
78. A multi-model evaluation of aerosols over South Asia: common problems and possible causes X. Pan et al. 10.5194/acp-15-5903-2015
79. Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets B. Zhao et al. 10.5194/acp-18-11247-2018
80. An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3 B. Ge et al. 10.1016/j.rse.2020.111894
81. Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite observations C. Sarangi et al. 10.5194/acp-19-7105-2019
82. Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
83. A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. 10.3390/rs12101557
84. Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling B. Zou et al. 10.3390/rs9010001
85. A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China W. Song et al. 10.1016/j.rse.2014.08.008
86. Spatial distributions and seasonal cycles of aerosols in India and China seen in global climate-aerosol model S. Henriksson et al. 10.5194/acp-11-7975-2011
87. 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
88. Aerosol Retrieval Study from a Particulate Observing Scanning Polarimeter Onboard Gao-Fen 5B without Prior Surface Knowledge, Based on the Optimal Estimation Method Y. Fan et al. 10.3390/rs15020385
89. Intercomparison of CALIOP, MODIS, and AERONET aerosol optical depth over China during the past decade C. Liu et al. 10.1080/01431161.2018.1466070
90. 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
91. Assessment of aerosol burden over Ghana K. Fosu-Amankwah et al. 10.1016/j.sciaf.2021.e00971
92. Assessing the potential of MODIS/Terra version 5 images to improve near shore lake bathymetric surveys E. Ayana et al. 10.1016/j.jag.2014.10.016
93. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. 10.1029/2019JD032097
94. Spatial variation of aerosol optical properties around the high-alpine site Jungfraujoch (3580 m a.s.l.) P. Zieger et al. 10.5194/acp-12-7231-2012
95. 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
96. Constraining the instantaneous aerosol influence on cloud albedo E. Gryspeerdt et al. 10.1073/pnas.1617765114
97. Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. 10.1016/j.atmosres.2018.05.008
98. The empirical relationship between the PM2.5 concentration and aerosol optical depth over the background of North China from 2009 to 2011 J. Xin et al. 10.1016/j.atmosres.2013.11.001
99. Estimation of high-resolution land surface net shortwave radiation from AVIRIS data: Algorithm development and preliminary results T. He et al. 10.1016/j.rse.2015.03.021
100. Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. 10.1016/j.atmosres.2021.105802
101. Global trends of aerosol optical thickness using the ensemble empirical mode decomposition method Z. Zhang et al. 10.1002/joc.4637
102. Difference between global and regional aerosol model classifications and associated implications for spaceborne aerosol optical depth retrieval P. Zhou et al. 10.1016/j.atmosenv.2023.119674
103. Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. 10.1029/2019JD031884
104. Evaluation and Wind Speed Dependence of MODIS Aerosol Retrievals Over Open Ocean R. Kleidman et al. 10.1109/TGRS.2011.2162073
105. 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
106. Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns R. Field et al. 10.5194/acp-21-18333-2021
107. Evaluation of Polarized Remote Sensing of Aerosol Optical Thickness Retrieval over China H. Chen et al. 10.3390/rs71013711
108. Estimation of Surface Downward Shortwave Radiation over China from Himawari-8 AHI Data Based on Random Forest N. Hou et al. 10.3390/rs12010181
109. Potential sensitivity of photosynthesis and isoprene emission to direct radiative effects of atmospheric aerosol pollution S. Strada & N. Unger 10.5194/acp-16-4213-2016
110. Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia S. Park et al. 10.1016/j.agrformet.2017.09.009
111. An empirical equation to estimate mineral dust concentrations from visibility observations in Northern Africa C. Camino et al. 10.1016/j.aeolia.2014.11.002
112. Preliminary On-Orbit Performance Test of the First Polarimetric Synchronization Monitoring Atmospheric Corrector (SMAC) On-Board High-Spatial Resolution Satellite Gao Fen Duo Mo (GFDM) Z. Li et al. 10.1109/TGRS.2021.3110320
113. 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
114. A bibliometric and scientometric: analysis towards global pattern and trends related to aerosol and precipitation studies from 2002 to 2022 R. Kumar et al. 10.1007/s11869-022-01290-0
115. Spatiotemporal Investigations of Aerosol Optical Properties Over Bangladesh for the Period 2002–2016 M. Islam et al. 10.1007/s41748-019-00120-1
116. Remote Sensing of Aerosol Optical Depth Using an Airborne Polarimeter over North China H. Wang et al. 10.3390/rs9100979
117. Anthropogenically induced changes in twentieth century mineral dust burden and the associated impact on radiative forcing T. Stanelle et al. 10.1002/2014JD022062
118. 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
119. Evaluation of MAIAC aerosol retrievals over China Z. Zhang et al. 10.1016/j.atmosenv.2019.01.013
120. The optimization of XGBoost model and its application in PM 2.5 concentrations estimation based on MODIS data in the Guanzhong region, China H. Ma et al. 10.1080/01431161.2023.2184217
121. Estimating PM2.5 Concentrations Based on MODIS AOD and NAQPMS Data over Beijing–Tianjin–Hebei Q. Wang et al. 10.3390/s19051207
122. Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown S. Abbas et al. 10.1007/s11356-021-18071-4
123. Properties of aerosols and formation mechanisms over southern China during the monsoon season W. Chen et al. 10.5194/acp-16-13271-2016
124. Impact of urban pollution emitted in Warsaw on aerosol properties O. Zawadzka et al. 10.1016/j.atmosenv.2012.11.065
125. Particulate matter pollution in the coal-producing regions of the Appalachian Mountains: Integrated ground-based measurements and satellite analysis V. Aneja et al. 10.1080/10962247.2016.1245686
126. Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations P. Acharya et al. 10.1016/j.envres.2020.110514
127. Influence of aerosol and surface reflectance variability on hyperspectral observed radiance C. Bassani et al. 10.5194/amt-5-1193-2012
128. Impacts of water partitioning and polarity of organic compounds on secondary organic aerosol over eastern China J. Li et al. 10.5194/acp-20-7291-2020
129. Forest Fire Smoke Layers Observed in the Free Troposphere over Portugal with a Multiwavelength Raman Lidar: Optical and Microphysical Properties S. Nepomuceno Pereira et al. 10.1155/2014/421838
130. A multi-year study of lower tropospheric aerosol variability and systematic relationships from four North American regions J. Sherman et al. 10.5194/acp-15-12487-2015
131. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program J. Reid et al. 10.1016/j.atmosres.2012.06.005
132. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling H. Chang et al. 10.1038/jes.2013.90
133. Seasonal variability of atmospheric aerosol over the North Indian region during 2005–2009 S. Kumar et al. 10.1016/j.asr.2012.06.022
134. Satellite-based estimates of outdoor particulate pollution (PM10) for Agra City in northern India S. Chitranshi et al. 10.1007/s11869-014-0271-x
135. Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent S. Payra et al. 10.3389/fenvs.2023.1158641
136. The Climatology of Australian Aerosol R. Mitchell et al. 10.5194/acp-17-5131-2017
137. 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
138. 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
139. Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China F. Wang et al. 10.1016/j.atmosenv.2015.04.063
140. Retrieval and validation of aerosol optical depth using GF-1 WFV cameras data X. Wang et al. 10.1016/j.asr.2019.10.023
141. 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
142. 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
143. 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
144. Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India A. Misra et al. 10.5194/angeo-34-657-2016
145. Decadal climatological trends of aerosol optical parameters over three different environments in South Korea A. Panicker et al. 10.1002/joc.3557
146. Extension and statistical analysis of the GACP aerosol optical thickness record I. Geogdzhayev et al. 10.1016/j.atmosres.2015.05.013
147. Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data I. Geogdzhayev & M. Mishchenko 10.3390/rs71012588
148. Improving Remote Sensing of Aerosol Microphysical Properties by Near‐Infrared Polarimetric Measurements Over Vegetated Land: Information Content Analysis W. Hou et al. 10.1002/2017JD027388
149. An offline constrained data assimilation technique for aerosols: Improving GCM simulations over South Asia using observations from two satellite sensors A. Baraskar et al. 10.1016/j.atmosenv.2016.02.026
150. Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al. 10.1016/j.apr.2023.101948
151. Time series analysis of aerosol optical depth over New Delhi using Box–Jenkins ARIMA modeling approach K. Taneja et al. 10.1016/j.apr.2016.02.004
152. Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. 10.1038/s43247-024-01424-5
153. Exploring the relationship between high-resolution aerosol optical depth values and ground-level particulate matter concentrations in the Metropolitan Area of São Paulo A. Damascena et al. 10.1016/j.atmosenv.2020.117949
154. 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
155. 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
156. Dust Impacts on the 2012 Hurricane Nadine Track during the NASA HS3 Field Campaign E. Nowottnick et al. 10.1175/JAS-D-17-0237.1
157. Synergetic Aerosol Layer Observation After the 2015 Calbuco Volcanic Eruption Event F. J. S. Lopes et al. 10.3390/rs11020195
158. 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
159. Extremely high aerosol loading over Arabian Sea during June 2008: The specific role of the atmospheric dynamics and Sistan dust storms D. Kaskaoutis et al. 10.1016/j.atmosenv.2014.05.012
160. Development of an improved aerosol product over the Indian subcontinent: Blending model, satellite, and ground‐based estimates R. Singh et al. 10.1002/2016JD025335
161. Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 N. Hsu et al. 10.5194/acp-12-8037-2012
162. Using MODIS derived aerosol optical depth to estimate ground-level PM2.5 concentrations over Turkey Ö. Zeydan & Y. Wang 10.1016/j.apr.2019.05.005
163. 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
164. Estimation of high-resolution aerosol optical depth (AOD) from Landsat and Sentinel images using SEMARA model over selected locations in South Asia B. Gayen et al. 10.1016/j.atmosres.2023.107141
165. A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification X. Su et al. 10.1016/j.rse.2020.112221
166. A decadal satellite analysis of the origins and impacts of smoke in Colorado M. Val Martin et al. 10.5194/acp-13-7429-2013
167. A novel calibration approach of MODIS AOD data to predict PM<sub>2.5</sub> concentrations H. Lee et al. 10.5194/acp-11-7991-2011
168. 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
169. Intercomparison of column aerosol optical depths from CALIPSO and MODIS-Aqua C. Kittaka et al. 10.5194/amt-4-131-2011
170. Estimating the air quality and health impacts of biomass burning in northern South America using a chemical transport model K. Ballesteros-González et al. 10.1016/j.scitotenv.2020.139755
171. The regime of intense desert dust episodes in the Mediterranean based on contemporary satellite observations and ground measurements A. Gkikas et al. 10.5194/acp-13-12135-2013
172. Sensitivity analysis of Look-up table for satellite-based aerosol optical depth retrieval S. Amini et al. 10.1016/j.jaerosci.2021.105842
173. Optical Properties of the Urban Aerosol Particles Obtained from Ground Based Measurements and Satellite-Based Modelling Studies G. Mordas et al. 10.1155/2015/898376
174. Analysis of linear long-term trend of aerosol optical thickness derived from SeaWiFS using BAER over Europe and South China J. Yoon et al. 10.5194/acp-11-12149-2011
175. Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al. 10.3390/rs12142256
176. A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
177. 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
178. 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
179. Satellite-measured atmospheric aerosol content in Korea: anthropogenic signals from decadal records S. Park & J. Choi 10.1080/15481603.2016.1214351
180. Satellite‐retrieved direct radiative forcing of aerosols over North‐East India and adjoining areas: climatology and impact assessment J. Biswas et al. 10.1002/joc.5004
181. Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic K. Han et al. 10.1016/j.apr.2024.102329
182. Remote sensing of tropical ecosystems: Atmospheric correction and cloud masking matter T. Hilker et al. 10.1016/j.rse.2012.08.035
183. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements C. Ichoku & L. Ellison 10.5194/acp-14-6643-2014
184. Calibration of SpatioTemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks M. Bonas & S. Castruccio 10.1214/22-AOAS1683
185. Climatic analysis of satellite aerosol data on variations of submicron aerosols over East China C. Tan et al. 10.1016/j.atmosenv.2015.03.054
186. Fine resolution air quality dynamics related to socioeconomic and land use factors in the most polluted desert metropolitan in the American Southwest Y. Li & S. Myint 10.1016/j.scitotenv.2021.147713
187. The relative role of Amazonian and non-Amazonian fires in building up the aerosol optical depth in South America: A five year study (2005–2009) F. Castro Videla et al. 10.1016/j.atmosres.2012.10.026
188. 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
189. Dynamic and chemical controls on new particle formation occurrence and characteristics from in situ and satellite-based measurements R. Sullivan & S. Pryor 10.1016/j.atmosenv.2015.12.050
190. Effect of Wind Speed on Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth over the North Pacific L. Merkulova et al. 10.3390/atmos9020060
191. Comparative analysis of PM10 concentrations in Nukus and Tashkent, Uzbekistan: Ground observations, CAMS, and MERRA-2 reanalysis N. Rakhmatova et al. 10.1051/e3sconf/202457504008
192. Spectral Deconvolution Algorithm for Global Fine-Mode Aerosol Retrieval in the 1990s Using Dual-Angle Satellite Aerosol Data X. Yan et al. 10.1109/TGRS.2023.3332316
193. 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
194. Variability of aerosol optical depth and Angstrom wavelength exponent derived from AERONET observations in recent decades X. Xia 10.1088/1748-9326/6/4/044011
195. Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. 10.5194/amt-7-1185-2014
196. Spatial heterogeneity and estimation of PM10 concentration over Brahmaputra Valley using geographic weighted regression model assimilating surface, MODIS, and ERA-interim reanalysis data B. Paul et al. 10.1007/s11869-022-01160-9
197. 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
198. Dust Activities Induced by Nocturnal Low‐Level Jet Over the Taklimakan Desert From WRF‐Chem Simulation Z. Han et al. 10.1029/2021JD036114
199. Aerosol Optical Depth variability over the Arabian Peninsula as inferred from satellite measurements K. Kumar et al. 10.1016/j.atmosenv.2018.06.011
200. Satellite observed aerosol-induced variability in warm cloud properties under different meteorological conditions over eastern China F. Wang et al. 10.1016/j.atmosenv.2013.11.018
201. 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
202. Characterization of aerosol type based on aerosol optical properties over Baghdad, Iraq A. Al-Salihi 10.1007/s12517-018-3944-1
203. Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar J. Guo et al. 10.5194/acp-18-13329-2018
204. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
205. 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
206. Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm for Himawari-8 Data L. She et al. 10.3390/rs11232771
207. Climatology and model prediction of aerosol optical properties over the Indo-Gangetic Basin in north India A. Singh et al. 10.1007/s10661-022-10440-x
208. Spectral Cross-Calibration of VIIRS Enhanced Vegetation Index with MODIS: A Case Study Using Year-Long Global Data K. Obata et al. 10.3390/rs8010034
209. Characteristics of Atmospheric Aerosols Over the UAE Inferred From CALIPSO and Sun Photometer Aerosol Optical Depth N. Nelli et al. 10.1029/2020EA001360
210. Long-term climatology and spatial trends of absorption, scattering, and total aerosol optical depths over East Africa during 2001–2019 G. Khamala et al. 10.1007/s11356-022-20022-6
211. A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events J. Akinyoola et al. 10.1007/s41810-024-00223-x
212. Climatological aspects of aerosol optical properties in North China Plain based on ground and satellite remote-sensing data X. Xia et al. 10.1016/j.jqsrt.2013.06.024
213. Reducing the Uncertainties in Direct Aerosol Radiative Forcing R. Kahn 10.1007/s10712-011-9153-z
214. Implications of differences between recent anthropogenic aerosol emission inventories for diagnosed AOD and radiative forcing from 1990 to 2019 M. Lund et al. 10.5194/acp-23-6647-2023
215. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG H. Ding et al. 10.3390/rs14215591
216. An observationally constrained estimate of global dust aerosol optical depth D. Ridley et al. 10.5194/acp-16-15097-2016
217. Response of SO2 and particulate air pollution to local and regional emission controls: A case study in Maryland H. He et al. 10.1002/2015EF000330
218. Space-borne observations of aerosol - cloud relations for cloud systems of different heights S. Stathopoulos et al. 10.1016/j.atmosres.2016.09.005
219. Decreasing Aerosol Loading in the North American Monsoon Region A. Raman et al. 10.3390/atmos7020024
220. 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
221. Discussion on linear long-term trends in aerosol and cloud properties over India and its surrounding waters V. Sreekanth 10.1016/j.asr.2016.02.015
222. 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
223. Variability, predictability, and uncertainty in global aerosols inferred from gap-filled satellite observations and an econometric modeling approach X. Li et al. 10.1016/j.rse.2021.112501
224. The first estimates of global nucleation mode aerosol concentrations based on satellite measurements M. Kulmala et al. 10.5194/acp-11-10791-2011
225. Validation and Analysis of MAIAC AOD Aerosol Products in East Asia from 2011 to 2020 P. Wang et al. 10.3390/rs14225735
226. Tracking Smoke from a Prescribed Fire and Its Impacts on Local Air Quality Using Temporally Resolved GOES-16 ABI Aerosol Optical Depth (AOD) A. Huff et al. 10.1175/JTECH-D-20-0162.1
227. Retrieving High-Resolution Aerosol Optical Depth from GF-4 PMS Imagery in Eastern China Z. Sun et al. 10.3390/rs13183752
228. Aerosol optical thickness over Pearl River Delta region, China Z. Xiao et al. 10.1080/01431161.2016.1264024
229. Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
230. 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
231. The spatio-temporal characteristics of aerosol optical thickness as well as the relationship with PM2.5 in Xiamen city, China Z. Xiao et al. 10.1007/s10661-020-08622-6
232. Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al. 10.1016/j.rse.2021.112319
233. Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015 L. He et al. 10.3390/rs9070746
234. 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
235. Prediction of Solar Irradiance over the Arabian Peninsula: Satellite Data, Radiative Transfer Model, and Machine Learning Integration Approach S. Alwadei et al. 10.3390/app12020717
236. Estimating Air Particulate Matter Using MODIS Data and Analyzing Its Spatial and Temporal Pattern over the Yangtze Delta Region J. Xu et al. 10.3390/su8090932
237. Aerosol effects on the UV irradiance in Santiago de Chile R. Cordero et al. 10.1016/j.atmosres.2014.07.002
238. Aerosol climatology and discrimination of aerosol types retrieved from MODIS, MISR and OMI over Durban (29.88°S, 31.02°E), South Africa K. Kumar et al. 10.1016/j.atmosenv.2015.06.058
239. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
240. Importance of different parameterization changes for the updated dust cycle modeling in the Community Atmosphere Model (version 6.1) L. Li et al. 10.5194/gmd-15-8181-2022
241. Analysis of aerosol effects on warm clouds over the Yangtze River Delta from multi-sensor satellite observations Y. Liu et al. 10.5194/acp-17-5623-2017
242. Seasonal aerosol variations over a coastal city, Zhoushan, China from CALIPSO observations K. Reddy et al. 10.1016/j.atmosres.2018.11.011
243. Temporal variability of atmospheric aerosol optical depth over European territory of Russia according to data of the ground-based and satellite observations: tendency of aerosol “enlightenment” I. Plakhina & N. Pankratova 10.1088/1755-1315/231/1/012042
244. Can satellite-derived aerosol optical depth quantify the surface aerosol radiative forcing? H. Xu et al. 10.1016/j.atmosres.2014.07.008
245. Aerosol-CCN characteristics and dynamics associated with a pre-monsoon dust storm over a high-altitude site in Western Ghats, India L. Parambil et al. 10.1007/s11356-023-30025-6
246. 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
247. Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al. 10.1109/JSTARS.2015.2481460
248. Temporal and spatial variability of aerosol optical depth over South India as inferred from MODIS T. Kiran Kumar et al. 10.1016/j.jastp.2012.12.010
249. Mapping PM2.5 concentration from the top-of-atmosphere reflectance of Himawari-8 via an ensemble stacking model X. Chen et al. 10.1016/j.atmosenv.2024.120560
250. 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
251. 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
252. Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models T. Fan et al. 10.5194/acp-18-1395-2018
253. 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
254. El Niño–Southern Oscillation correlated aerosol Ångström exponent anomaly over the tropical Pacific discovered in satellite measurements J. Li et al. 10.1029/2011JD015733
255. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
256. Validation of MODIS-Aqua Aerosol Products C051 and C006 over the Beijing-Tianjin-Hebei Region K. Wang et al. 10.3390/atmos8090172
257. Characterizing the Impact of Aerosols on Pre-Hurricane Sandy A. Fontenot et al. 10.1109/JSTARS.2018.2813095
258. An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework W. Hou et al. 10.1016/j.jqsrt.2016.01.019
259. Long-term statistical assessment of Aqua-MODIS aerosol optical depth over coastal regions: bias characteristics and uncertainty sources J. Anderson et al. 10.3402/tellusb.v65i0.20805
260. Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al. 10.1002/2015JD024668
261. Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data L. Mei et al. 10.5194/acp-12-9167-2012
262. EMAC model evaluation and analysis of atmospheric aerosol properties and distribution with a focus on the Mediterranean region A. de Meij et al. 10.1016/j.atmosres.2012.05.014
263. 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
264. Intercomparison of Multiple Satellite Aerosol Products against AERONET over the North China Plain X. Fan et al. 10.3390/atmos10090480
265. The Collection 6 MODIS aerosol products over land and ocean R. Levy et al. 10.5194/amt-6-2989-2013
266. Using satellite‐based measurements to explore spatiotemporal scales and variability of drivers of new particle formation R. Sullivan et al. 10.1002/2016JD025568
267. Retrieval of aerosol optical depth over bright land surfaces by coupling bidirectional reflectance distribution function model and aerosol retrieval model J. Guang et al. 10.1080/01431161.2011.642322
268. Developing and diagnosing climate change indicators of regional aerosol optical properties R. Sullivan et al. 10.1038/s41598-017-18402-x
269. 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
270. A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images Q. Wang et al. 10.1016/j.envint.2023.107841
271. PM2.5-Associated Health Impacts of Beehive Coke Oven Ban in China Y. Xu et al. 10.1021/acs.est.9b04282
272. Effective Radiative Forcing of the Internally Mixed Sulfate and Black Carbon Aerosol in the GFDL AM4 Model: The Role Played by Other Aerosol Species G. Govardhan et al. 10.1029/2023JD038481
273. A Machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements S. Logothetis et al. 10.3390/rs16071132
274. Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems X. Deng et al. 10.1364/OE.524152
275. 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
276. Elevated Black Carbon Concentrations and Atmospheric Pollution around Singrauli Coal-Fired Thermal Power Plants (India) Using Ground and Satellite Data R. Singh et al. 10.3390/ijerph15112472
277. Environmental impacts of shifts in energy, emissions, and urban heat island during the COVID-19 lockdown across Pakistan G. Ali et al. 10.1016/j.jclepro.2021.125806
278. Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite L. Xu et al. 10.3390/rs14174427
279. A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. 10.3390/rs8120998
280. The Aerosol Index and Land Cover Class Based Atmospheric Correction Aerosol Optical Depth Time Series 1982–2014 for the SMAC Algorithm E. Jääskeläinen et al. 10.3390/rs9111095
281. Retrieval of aerosol parameters from the oxygen A band in the presence of chlorophyll fluorescence A. Sanders & J. de Haan 10.5194/amt-6-2725-2013
282. Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey Ö. Zeydan et al. 10.1007/s11356-022-23553-0
283. Satellite remote sensing of fine particulate air pollutants over Indian mega cities V. Sreekanth et al. 10.1016/j.asr.2017.08.008
284. Quantitative Aerosol Optical Depth Detection during Dust Outbreaks from Meteosat Imagery Using an Artificial Neural Network Model S. Kolios & N. Hatzianastassiou 10.3390/rs11091022
285. Using satellite data to estimate particulate air quality in a subtropical city: an evaluation of accuracy and sampling issues M. Zhang et al. 10.1080/2150704X.2015.1035771
286. Disentangling temperature and water stress contributions to trends in isoprene emissions using satellite observations of formaldehyde, 2005–2016 S. Strada et al. 10.1016/j.atmosenv.2022.119530
287. Opposite eco-hydrological processes in flood and drought years caused comparable anomaly in dry-season canopy growth over southern Amazon H. Zhang & Y. Liu 10.1088/1748-9326/ac9852
288. General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) – integrating aerosol research from nano to global scales M. Kulmala et al. 10.5194/acp-11-13061-2011
289. Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula S. Albugami et al. 10.3390/rs10121993
290. Positive relationship between liquid cloud droplet effective radius and aerosol optical depth over Eastern China from satellite data J. Tang et al. 10.1016/j.atmosenv.2013.08.024
291. Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network Y. Choi et al. 10.1016/j.atmosres.2020.104997
292. Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. 10.1016/j.scitotenv.2021.148958
293. Operational AOD Retrieval at Subkilometer Resolution Using OceanSat‐2 OCM Over Land: SAER Algorithm, Uncertainties, Validation & Inter‐Sensor Comparison M. Mishra et al. 10.1029/2023EA002896
294. Improvement of aerosol optical depth retrieval from MODIS spectral reflectance over the global ocean using new aerosol models archived from AERONET inversion data and tri-axial ellipsoidal dust database J. Lee et al. 10.5194/acp-12-7087-2012
295. Aerosol Optical Depth Over India L. David et al. 10.1002/2017JD027719
296. Exploring the abnormal fluctuations of atmospheric aerosols before the 2008 Wenchuan and 2013 Lushan earthquakes Q. Liu et al. 10.1016/j.asr.2019.01.032
297. Studies of saharan dust intrusions over bucharest using ceilometer’s measurements and satellite data D. Urlea et al. 10.1051/epjconf/201817611004
298. Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region J. Zhou et al. 10.3390/rs15082172
299. 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
300. 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
301. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
302. Estimating PM2.5 concentration from satellite derived aerosol optical depth and meteorological variables using a combination model A. Chelani 10.1016/j.apr.2018.12.013
303. Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas H. Lin et al. 10.3390/rs13204140
304. 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
305. 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
306. JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
307. Estimating Aerosol Optical Depth Over the Broader Greek Area from MODIS Satellite G. Athanassiou et al. 10.1007/s11270-013-1605-2
308. Carbonaceous aerosol emission reduction over Shandong province and the impact of air pollution control as observed from synthetic satellite data R. Kalluri et al. 10.1016/j.atmosenv.2019.117150
309. Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia Z. ul-Haq et al. 10.1007/s00703-016-0485-6
310. Development of non-linear models predicting daily fine particle concentrations using aerosol optical depth retrievals and ground-based measurements at a municipality in the Brazilian Amazon region K. Gonçalves et al. 10.1016/j.atmosenv.2018.03.057
311. El Niño–Southern Oscillation (ENSO) effect on interannual variability in spring aerosols over East Asia A. Zhu et al. 10.5194/acp-21-5919-2021
312. Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis A. Asutosh et al. 10.1038/s41598-022-10017-1
313. Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm Y. Li et al. 10.3390/rs10121906
314. Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table J. Huttunen et al. 10.5194/acp-16-8181-2016
315. Clear sky irradiances using REST2 and MODIS X. Zhong & J. Kleissl 10.1016/j.solener.2015.03.046
316. Improving the Accuracy of Daily PM2.5 Distributions Derived from the Fusion of Ground-Level Measurements with Aerosol Optical Depth Observations, a Case Study in North China B. Lv et al. 10.1021/acs.est.5b05940
317. Aerosol types and radiative forcing estimates over East Asia R. Bhawar et al. 10.1016/j.atmosenv.2016.07.028
318. Remote sensing of atmospheric fine particulate matter (PM2.5) mass concentration near the ground from satellite observation Y. Zhang & Z. Li 10.1016/j.rse.2015.02.005
319. Forecasting ultrafine particle concentrations from satellite and in situ observations P. Crippa et al. 10.1002/2016JD026021
320. Investigations on Aerosol and Particulate Matter Dynamics During 2001–2021 Using Satellite, In Situ, and Reanalysis Datasets over the Mining-Dominated State Odisha, India P. Kumar et al. 10.1007/s41810-023-00208-2
321. Preliminary Assessment and Verification of the Langley Plots Calibration of the Sun Photometer at Mt Foyeding Observatory, Beijing Y. Zheng et al. 10.3390/rs14174321
322. A Study of Aerosol–Cloud Variability under Different Rainfall Scenarios over Western India and the Arabian Sea R. Srivastava et al. 10.1007/s00024-023-03305-y
323. High spatial–temporal image fusion model for retrieving aerosol optical depth based on top-of-atmosphere reflectance C. Huang et al. 10.1016/j.rsase.2024.101402
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. Abrupt emission reduction during COVID-19 intensified the spring 2020 rainfall over India A. Asutosh et al. 10.3389/fenvs.2022.911363
326. 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
327. Trends in MODIS and AERONET derived aerosol optical thickness over Northern Europe P. Glantz et al. 10.1080/16000889.2018.1554414
328. Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models X. Tian et al. 10.1109/TGRS.2020.3048109
329. Composite study of aerosol export events from East Asia and North America Y. Luan & L. Jaeglé 10.5194/acp-13-1221-2013
330. An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region M. Zhang et al. 10.3390/rs9111173
331. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson 10.1016/j.scitotenv.2023.165569
332. Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model T. Amnuaylojaroen & I. Levy 10.1155/2022/3190484
333. Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison T. Jiang et al. 10.3390/rs11091011
334. A Hybrid Approach to Estimate Spatially and Temporally Resolved Pm2.5 Distributions from Multi-Sourced Aod Data Q. Pu & Y. Eun-Hye 10.2139/ssrn.4094009
335. Estimating surface solar irradiance from satellites: Past, present, and future perspectives G. Huang et al. 10.1016/j.rse.2019.111371
336. 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
337. Variability of surface solar radiation under clear skies over Qinghai-Tibet Plateau: Role of aerosols and water vapor L. Yu et al. 10.1016/j.atmosenv.2022.119286
338. An accuracy assessment of the CALIOP/CALIPSO version 2/version 3 daytime aerosol extinction product based on a detailed multi-sensor, multi-platform case study M. Kacenelenbogen et al. 10.5194/acp-11-3981-2011
339. Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. 10.5194/amt-8-3647-2015
340. Investigating the Long-Term Variation Trends of Absorbing Aerosols over Asia by Using Multiple Satellites D. Li et al. 10.3390/rs14225832
341. Improved Himawari-8 10-minute scale aerosol optical depth product using deep neural network over Japan Y. Tan et al. 10.1016/j.apr.2023.102005
342. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China Y. Su et al. 10.1016/j.atmosenv.2021.118205
343. State of air pollutants and related health risk over Haryana India as viewed from satellite platform in COVID-19 lockdown scenario D. Singh et al. 10.1007/s41324-021-00410-9
344. Heating rate profiles and radiative forcing due to a dust storm in the Western Mediterranean using satellite observations C. Peris-Ferrús et al. 10.1016/j.atmosenv.2017.04.023
345. Spatial and temporal variations of AOD over land at the global scale B. Li et al. 10.1080/01431161.2011.605088
346. Assessment and application of MODIS ocean and land algorithms for the characterization of aerosol properties over a Mediterranean coastal site S. Segura et al. 10.1016/j.atmosres.2015.01.019
347. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
348. Particulate Matter and Ammonia Pollution in the Animal Agricultural-Producing Regions of North Carolina: Integrated Ground-Based Measurements and Satellite Analysis R. Wiegand et al. 10.3390/atmos13050821
349. Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
350. Intercomparison and assessment of long-term (2004–2013) multiple satellite aerosol products over two contrasting sites in South Africa A. Adesina et al. 10.1016/j.jastp.2016.09.001
351. Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale P. Crippa et al. 10.5194/acp-16-397-2016
352. 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
353. Variation of aerosol parameters (AI, AOD) and SO2 over Indo-Gangetic basin during COVID-19 outbreaks A. Kumar et al. 10.1007/s12648-023-02802-z
354. Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: validation W. Su et al. 10.5194/amt-8-3297-2015
355. A low-cost monitor for measurement of fine particulate matter and aerosol optical depth – Part 2: Citizen-science pilot campaign in northern Colorado B. Ford et al. 10.5194/amt-12-6385-2019
356. An aerosol climatology for a rapidly growing arid region (southern Arizona): Major aerosol species and remotely sensed aerosol properties A. Sorooshian et al. 10.1029/2011JD016197
357. Development of empirical angular distribution models for smoke aerosols: Methods F. Patadia et al. 10.1029/2010JD015033
358. Optimizing CALIPSO Saharan dust retrievals V. Amiridis et al. 10.5194/acp-13-12089-2013
359. 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
360. 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
361. Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
362. Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. 10.3390/atmos13091439
363. Evaluation and comparison of MODIS aerosol optical depth retrieval algorithms over Brazil A. Rudke et al. 10.1016/j.atmosenv.2023.120130
364. Optimal estimation for global ground‐level fine particulate matter concentrations A. van Donkelaar et al. 10.1002/jgrd.50479
365. Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period D. Lawand et al. 10.3389/fenvs.2022.838778
366. Distributions and regional budgets of aerosols and their precursors simulated with the EMAC chemistry-climate model A. Pozzer et al. 10.5194/acp-12-961-2012
367. 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
368. Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR Y. Qin et al. 10.1109/TGRS.2015.2433911
369. 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
370. Long Temporal Analysis of 3-km MODIS Aerosol Product Over East China Q. Ma et al. 10.1109/JSTARS.2017.2650144
371. 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
372. Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison Y. Zhang et al. 10.5194/amt-14-1655-2021
373. Extending 3D near-cloud corrections from shorter to longer wavelengths A. Marshak et al. 10.1016/j.jqsrt.2014.05.022
374. Evaluation of multi-temporal and multi-sensor atmospheric correction strategies for land-cover accounting and monitoring in Ireland C. Raab et al. 10.1080/2150704X.2015.1076950
375. National Civil Space Infrastructure Satellite Aerosol Product Validation Network (SIAVNET) measurements: Supporting satellite aerosol product validation for different surface types over China T. Cheng et al. 10.1016/j.atmosres.2022.106508
376. Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models Z. Zang et al. 10.3390/rs13142779
377. Evaluation of aerosol microphysical, optical and radiative properties measured with a multiwavelength photometer Y. Zheng et al. 10.5194/amt-15-2139-2022
378. Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 Q. Chen et al. 10.3390/atmos11070703
379. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
380. Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites P. Gupta et al. 10.5194/amt-17-5455-2024
381. Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China Y. Che et al. 10.5194/acp-16-9655-2016
382. Aerosol Retrieval Algorithm for Sentinel-2 Images Over Complex Urban Areas Y. Yang et al. 10.1109/TGRS.2022.3158061
383. Validation and expected error estimation of Suomi‐NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET J. Huang et al. 10.1002/2016JD024834
384. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
385. Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light M. Witek et al. 10.1109/TGRS.2017.2727342
386. Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network M. Kim et al. 10.3390/rs15143621
387. Spatial variability of the atmosphere over southern England, and its effect on scene-based atmospheric corrections R. Wilson et al. 10.1080/01431161.2014.939781
388. The fate of saharan dust across the atlantic and implications for a central american dust barrier E. Nowottnick et al. 10.5194/acp-11-8415-2011
389. Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening? Y. Zhang et al. 10.1016/j.rse.2016.12.018
390. Contrasting trends of mass and optical properties of aerosols over the Northern Hemisphere from 1992 to 2011 K. Wang et al. 10.5194/acp-12-9387-2012
391. Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
392. CALIOP and AERONET aerosol optical depth comparisons: One size fits none A. Omar et al. 10.1002/jgrd.50330
393. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis G. de Leeuw et al. 10.1016/j.rse.2013.04.023
394. Nesting Elterman Model and Spatiotemporal Linear Mixed-Effects Model to Predict the Daily Aerosol Optical Depth over the Southern Central Hebei Plain, China F. Li et al. 10.3390/su15032609
395. Exceptionally active agricultural fire season in mid‐eastern China in June 2012 and its impact on the atmospheric environment X. Xia et al. 10.1002/jgrd.50770
396. An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al. 10.5194/gmd-9-1489-2016
397. Assessment of smoke shortwave radiative forcing using empirical angular distribution models F. Patadia & S. Christopher 10.1016/j.rse.2013.08.034
398. Estimating PM2.5 in Xi'an, China using aerosol optical depth: A comparison between the MODIS and MISR retrieval models W. You et al. 10.1016/j.scitotenv.2014.11.024
399. General Comparison of FY-4A/AGRI With Other GEO/LEO Instruments and Its Potential and Challenges in Non-meteorological Applications P. Zhang et al. 10.3389/feart.2018.00224
400. High-resolution dust modelling over complex terrains in West Asia S. Basart et al. 10.1016/j.aeolia.2016.09.005
401. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
402. Role of sea-surface wind and transport on enhanced aerosol optical depth observed over the Arabian Sea P. Sivaprasad & C. Babu 10.1080/01431161.2012.657373
403. Validation and Accuracy Analysis of Global MODIS Aerosol Products over Land Q. Wang et al. 10.3390/atmos8080155
404. Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images L. Xu et al. 10.1109/JSTARS.2024.3444493
405. Long-Term Evaluation of Aerosol Optical Properties in the Levantine Region: A Comparative Analysis of AERONET and Aqua/MODIS A. Isik et al. 10.3390/rs16142651
406. 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
407. An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model F. Li et al. 10.1016/j.chemosphere.2024.142820
408. Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors T. Su et al. 10.5194/acp-18-15921-2018
409. Simultaneous Use of Ground-Based and Satellite Observation to Evaluate Atmospheric Air Pollution over Amman, Jordan H. Panahifar et al. 10.3390/atmos14020274
410. A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR S. Bevan et al. 10.1016/j.rse.2011.05.024
411. Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment K. Li et al. 10.1016/j.jenvman.2021.114121
412. 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
413. Aerosol Optical Depth of the Main Aerosol Species over Italian Cities Based on the NASA/MERRA-2 Model Reanalysis U. Rizza et al. 10.3390/atmos10110709
414. Long‐term trends in aerosol optical properties and their relationship with cloud properties over southern India and Sri Lanka N. Chathurangika et al. 10.1002/joc.7799
415. Evaluation and comparison of MODIS and MISR aerosol products with ground-based monitoring stations in the Amazon Basin V. Schumacher et al. 10.1016/j.atmosenv.2024.120597
416. Optical and physical characteristics of aerosols over Asia: AERONET, MERRA-2 and CAMS K. Ansari & S. Ramachandran 10.1016/j.atmosenv.2024.120470
417. Evaluation of aerosol optical depths and clear-sky radiative fluxes of the CERES Edition 4.1 SYN1deg data product D. Fillmore et al. 10.5194/acp-22-10115-2022
418. Long-Term Trends in Aerosol Single Scattering Albedo Cause Bias in MODIS Aerosol Optical Depth Trends Z. Zhang et al. 10.1109/TGRS.2024.3424981
419. Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000–2025 Y. Zhang et al. 10.3390/rs12162518
420. Aerosol retrieval from space – how does geometry of acquisition impact our ability to characterize aerosol properties B. Fougnie et al. 10.1016/j.jqsrt.2020.107304
421. 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
422. 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
423. Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
424. 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
425. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al. 10.3390/rs8090765
426. The implication of atmospheric aerosols on rainfall over Malawi, Southeast Africa M. Nyasulu et al. 10.1007/s10584-023-03667-1
427. Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: methodology W. Su et al. 10.5194/amt-8-611-2015
428. Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz 10.3390/rs6087182
429. Intercomparison of Aerosol Optical Thickness Derived from MODIS and in Situ Ground Datasets over Jaipur, a Semi-arid Zone in India S. Payra et al. 10.1021/acs.est.5b02225
430. An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF A. Bozzo et al. 10.5194/gmd-13-1007-2020
431. Systematic Changes in Cloud Radiative Forcing with Aerosol Loading for Deep Clouds in the Tropics J. Peng et al. 10.1175/JAS-D-15-0080.1
432. Aerosol and monsoon climate interactions over Asia Z. Li et al. 10.1002/2015RG000500
433. A statistical model to evaluate the effectiveness of PM2.5 emissions control during the Beijing 2008 Olympic Games Y. Liu et al. 10.1016/j.envint.2012.02.003
434. Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations O. Torres et al. 10.5194/amt-6-3257-2013
435. 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
436. Microphysical and radiative effects of aerosols on warm clouds during the Amazon biomass burning season as observed by MODIS: impacts of water vapor and land cover J. Ten Hoeve et al. 10.5194/acp-11-3021-2011
437. Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval K. Ristovski et al. 10.1109/TGRS.2011.2166120
438. Estimation of the Land Surface Albedo Changes in the Broader Mediterranean Area, Based on 12 Years of Satellite Observations N. Benas & N. Chrysoulakis 10.3390/rs71215816
439. Biomass Burning Aerosols Observed in Northern Finland during the 2010 Wildfires in Russia T. Mielonen et al. 10.3390/atmos4010017
440. Effective aerosol optical depth from pyranometer measurements of surface solar radiation (global radiation) at Thessaloniki, Greece A. Lindfors et al. 10.5194/acp-13-3733-2013
441. First retrieval of daily 160 m aerosol optical depth over urban areas using Gaofen-1/6 synergistic observations: Algorithm development and validation J. Dong et al. 10.1016/j.isprsjprs.2024.04.020
442. Evaluation of MODIS combined DT and DB AOD retrievals and their association with meteorological variables over Qena, Egypt M. Elshora 10.1007/s10661-023-11118-8
443. Validation of MERIS/AATSR synergy algorithm for aerosol retrieval against globally distributed AERONET observations and comparison with MODIS aerosol product N. Benas et al. 10.1016/j.atmosres.2013.05.011
444. Aerosol characteristics over Delhi national capital region: a satellite view P. Srivastava et al. 10.1080/01431161.2014.934404
445. 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
446. The composition and variability of atmospheric aerosol over Southeast Asia during 2008 W. Trivitayanurak et al. 10.5194/acp-12-1083-2012
447. 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
448. Rapid changes of dust geochemistry in the Saharan Air Layer linked to sources and meteorology S. Rodríguez et al. 10.1016/j.atmosenv.2019.117186
449. Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe M. Granados-Muñoz et al. 10.5194/acp-19-13157-2019
450. Exploiting satellite observations for global surface albedo trends monitoring N. Chrysoulakis et al. 10.1007/s00704-018-2663-6
451. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. 10.1016/j.earscirev.2023.104634
452. The Seasonal Variations of Aerosols over East Asia as Jointly Inferred from MODIS and OMI L. Qi et al. 10.1080/16742834.2011.11446952
453. Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
454. Impact of aerosols on ice crystal size B. Zhao et al. 10.5194/acp-18-1065-2018
455. Uncertainty of Remote Sensing Data in Monitoring Vegetation Phenology: A Comparison of MODIS C5 and C6 Vegetation Index Products on the Tibetan Plateau Z. Zheng & W. Zhu 10.3390/rs9121288
456. Maritime-Continental Contrasts in the Properties of Low-Level Clouds: A Case Study of the Summer of the 2003 Yamase, Japan, Cloud Event N. Eguchi et al. 10.1155/2014/548091
457. Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia J. Nichol & M. Bilal 10.3390/rs8040328
458. Biotic stress accelerates formation of climate-relevant aerosols in boreal forests J. Joutsensaari et al. 10.5194/acp-15-12139-2015
459. Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China X. Chen et al. 10.5194/essd-14-5233-2022
460. Radiative Effect and Mixing Processes of a Long-Lasting Dust Event over Athens, Greece, during the COVID-19 Period P. Kokkalis et al. 10.3390/atmos12030318
461. Sensors and systems for air quality assessment monitoring and management: A review D. Singh et al. 10.1016/j.jenvman.2021.112510
462. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
463. AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
464. Impact of pollution on the optical properties of trans‐Pacific East Asian dust from satellite and ground‐based measurements B. Yi et al. 10.1002/2014JD021721
465. Model‐based estimation of sampling‐caused uncertainty in aerosol remote sensing for climate research applications I. Geogdzhayev et al. 10.1002/qj.2305
466. 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
467. Aerosol Shortwave Radiative Heating and Cooling by the 2017 and 2023 Chilean Wildfire Smoke Plumes M. de Graaf et al. 10.1029/2023GL104387
468. Using MODIS to retrieve the AOT over the region of Baikal P. Wei et al. 10.1088/1755-1315/17/1/012038
469. Scientific impact of MODIS C5 calibration degradation and C6+ improvements A. Lyapustin et al. 10.5194/amt-7-4353-2014
470. 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
471. Accuracy assessment of Terra-MODIS aerosol optical depth retrievals S. Safarpour et al. 10.1088/1755-1315/20/1/012059
472. Long-term trends of aerosol and cloud fraction over Eastern China based on ground-based observations T. Yang et al. 10.1016/j.atmosenv.2023.119954
473. 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
474. Regional climate feedback of anthropogenic aerosols over Europe using RegCM3 P. Zanis et al. 10.3354/cr01070
475. Retrieval of nighttime aerosol optical depth by simultaneous consideration of artificial and natural light sources Y. Meng et al. 10.1016/j.scitotenv.2023.166354
476. Aerosol effects on cloud cover as evidenced by ground‐based and space‐based observations at five rural sites in the United States J. Ten Hoeve & J. Augustine 10.1002/2015GL066873
477. 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
478. A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain L. Li et al. 10.1016/j.atmosres.2021.105958
479. Spatiotemporal dynamics and exposure analysis of daily PM2.5 using a remote sensing-based machine learning model and multi-time meteorological parameters B. Chen et al. 10.1016/j.apr.2020.10.005
480. Effects of Forbush decreases on clouds determined from PATMOS-x H. Matsumoto et al. 10.1016/j.jastp.2022.105845
481. Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al. 10.1029/2023JD039085
482. Contrasting seasonal pattern between ground-based PM2.5 and MODIS satellite-based aerosol optical depth (AOD) at an urban site in Hanoi, Vietnam N. Luong et al. 10.1007/s11356-021-16464-z
483. Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD W. You et al. 10.1007/s11356-015-6027-9
484. A gap-filling hybrid approach for hourly PM2.5 prediction at high spatial resolution from multi-sourced AOD data Q. Pu & E. Yoo 10.1016/j.envpol.2022.120419
485. Soluble iron dust export in the high altitude Saharan Air Layer L. Ravelo-Pérez et al. 10.1016/j.atmosenv.2016.03.030
486. 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
487. 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
488. Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
489. Aerosol–Cloud–Rainfall Properties Inferred from Satellite Observations Over Different Regions of the Indian Subcontinent: Variability, Trends and Relationships During the Summer Monsoon P. Leena et al. 10.1007/s00024-021-02892-y
490. Fast retrieval of aerosol optical depth and its sensitivity to surface albedo using remote sensing data F. Seidel et al. 10.1016/j.atmosres.2011.03.006
491. Aerosols characteristics, trends and their climatic implications over Northeast India and adjoining South Asia P. Dahutia et al. 10.1002/joc.5240
492. 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
493. The “APEC Blue” phenomenon: Regional emission control effects observed from space K. Huang et al. 10.1016/j.atmosres.2015.04.018
494. Spatio-temporal variability of aerosols over East China inferred by merged visibility-GEOS-Chem aerosol optical depth J. Lin & J. Li 10.1016/j.atmosenv.2016.02.037
495. Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India M. Sai Suman et al. 10.5194/amt-7-907-2014
496. 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
497. Satellite-Derived Aerosol–Cloud Relationships Under Anthropogenic Polluted Conditions of Arabian Sea C. Lima et al. 10.1109/TGRS.2021.3137089
498. Estimates of the aerosol indirect effect over the Baltic Sea region derived from 12 years of MODIS observations G. Saponaro et al. 10.5194/acp-17-3133-2017
499. Spatial features of rain frequency change and pollution and associated aerosols Y. Lin et al. 10.5194/acp-11-7715-2011
500. Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS J. Wei et al. 10.1016/j.atmosenv.2017.11.048
501. Single Scattering Albedo of High Loading Aerosol Estimated Across East Asia From S-NPP VIIRS F. Bao et al. 10.1109/TGRS.2021.3076796
502. Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea P. Ettehadi Osgouei et al. 10.1016/j.atmosenv.2021.118784
503. 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
504. DOĞU AKDENİZ HAVZASINDA SICAKLIK, YAĞIŞ VE AEROSOL DEĞİŞİMİNİN İNCELENMESİ K. OĞUZ & B. AKIN 10.21923/jesd.464737
505. Aerosol properties in the atmosphere of Natal/Brazil measured by an AERONET Sun-photometer D. Fortunato dos Santos Oliveira et al. 10.1007/s11356-020-11373-z
506. Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
507. Analysis of Atmospheric Aerosol Changes in the Qinghai-Tibetan Plateau Region during 2009–2019 Using a New Fusion Algorithm Z. Zhao & H. Tonooka 10.3390/atmos15060712
508. On the aerosol weekly cycle spatiotemporal variability over Europe A. Georgoulias & K. Kourtidis 10.5194/acp-11-4611-2011
509. Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
510. Evaluation and analysis of long-term MODIS MAIAC aerosol products in China G. Huang et al. 10.1016/j.scitotenv.2024.174983
511. Multi-Scale Observations of Atmosphere Environment and Aerosol Properties over North China during APEC Meeting Periods X. Wei et al. 10.3390/atmos7010004
512. Spatiotemporal Variation in Absorption Aerosol Optical Depth over China M. Mao et al. 10.3390/atmos15091099
513. Aerosol Optical Depth Over the Nepalese Cryosphere Derived From an Empirical Model B. Bhattarai et al. 10.3389/feart.2019.00178
514. Application of global dust detection index (GDDI) for sand and dust storm monitoring over Kingdom of Saudi Arabia E. Alghamdi et al. 10.1007/s11069-024-06725-8
515. Climatological variations in aerosol optical depth and aerosol type identification in Liaoning of Northeast China based on MODIS data from 2002 to 2019 H. Zhao et al. 10.1016/j.scitotenv.2021.146810
516. An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals E. Hyer et al. 10.5194/amt-4-379-2011
517. Comparison of aerosol optical depth of UV-B monitoring and research program (UVMRP), AERONET and MODIS over continental united states H. Tang et al. 10.1007/s11707-013-0376-9
518. Aerosol data assimilation and forecasting experiments using aircraft and surface observations during CalNex Z. Zang et al. 10.3402/tellusb.v68.29812
519. Aerosol optical depth (AOD) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the western United States H. Zhang et al. 10.5194/amt-6-471-2013
520. Identification of aerosol types over an urban site based on air-mass trajectory classification G. Pawar et al. 10.1016/j.atmosres.2015.04.022
521. Attribution of aerosol radiative forcing over India during the winter monsoon to emissions from source categories and geographical regions S. Verma et al. 10.1016/j.atmosenv.2011.05.048
522. A Novel Aerosol Load Index Using MODIS Visible Bands: Applied to South-West Part of Iran S. Bahramvash Shams & A. Mohammadzadeh 10.1109/JSTARS.2014.2381269
523. Linear and wavelet analysis of aerosol optical depth (AOD) and prevailing meteorological factors during summer (2003–2016) over Turkey using Remote Sensing S. Tariq et al. 10.1007/s11869-023-01422-0
524. 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
525. 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
526. Improving retrievals of regional fine particulate matter concentrations from Moderate Resolution Imaging Spectroradiometer (MODIS) and Ozone Monitoring Instrument (OMI) multisatellite observations A. Strawa et al. 10.1080/10962247.2013.822838
527. Study of aerosol optical depth using satellite data (MODIS Aqua) over Indian Territory and its relation to particulate matter concentration N. Shaw & A. Gorai 10.1007/s10668-018-0198-8
528. Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al. 10.1029/2022JD038007
529. Long-term trends in air quality in major cities in the UK and India: a view from space K. Vohra et al. 10.5194/acp-21-6275-2021
530. Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau Y. Hu et al. 10.5194/acp-24-85-2024
531. Retrieval of Atmospheric Aerosol Optical Depth From AVHRR Over Land With Global Coverage Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2021.3129853
532. Satellite remote sensing of dust aerosol indirect effects on cloud formation over Eastern Asia S. Ou et al. 10.1080/01431161.2012.700135
533. 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
534. 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
535. Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
536. Long-term variations in aerosol optical properties, types, and radiative forcing in the Sichuan Basin, Southwest China Z. Shu et al. 10.1016/j.scitotenv.2021.151490
537. A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent G. Barik et al. 10.1016/j.jastp.2020.105478
538. An overview of regional and local characteristics of aerosols in South Africa using satellite, ground, and modeling data S. Hersey et al. 10.5194/acp-15-4259-2015
539. Theoretical Uncertainty Analysis of Satellite Retrieved Aerosol Optical Depth Associated with Surface Albedo and Aerosol Optical Properties J. Huang et al. 10.3390/rs13030344
540. Reducing multisensor monthly mean aerosol optical depth uncertainty: 2. Optimal locations for potential ground observation deployments J. Li et al. 10.1002/2016JD026308
541. Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product S. Go et al. 10.3390/rs12233987
542. Global validation and comparison of MODIS DT and POLDER-3 GRASP aerosol products over ocean X. Pei et al. 10.1016/j.atmosres.2022.106480
543. Mesoscale modeling and satellite observation of transport and mixing of smoke and dust particles over northern sub‐Saharan African region Z. Yang et al. 10.1002/2013JD020644
544. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
545. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
546. Assessment of Aerosol Radiative Forcing with 1-D Radiative Transfer Modeling in the U. S. South-East E. Alston & I. Sokolik 10.3390/atmos9070271
547. Estimation of Surface Reflectance by Utilizing Single Visible Reflectance from COMS Meteorological Imager - Analysis of BAOD correction effect - M. Kim et al. 10.7780/kjrs.2014.30.5.8
548. Variations in particulate matter over Indo-Gangetic Plains and Indo-Himalayan Range during four field campaigns in winter monsoon and summer monsoon: Role of pollution pathways A. Sen et al. 10.1016/j.atmosenv.2016.12.054
549. 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
550. 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
551. Dust aerosol radiative effects during summer 2012 simulated with a coupled regional aerosol–atmosphere–ocean model over the Mediterranean P. Nabat et al. 10.5194/acp-15-3303-2015
552. Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration X. Xu et al. 10.1002/2015JD023113
553. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
554. Spatiotemporal Analysis of MODIS Aerosol Optical Depth Data in the Philippines from 2010 to 2020 N. Caido et al. 10.3390/atmos13060939
555. Long-term spatial and temporal variations of aerosol optical depth during 2000–2020 over Zambia, southcentral Africa B. Musonda et al. 10.1007/s11869-021-01091-x
556. 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
557. Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt P. Kosmopoulos et al. 10.3390/rs10121870
558. Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm H. Zhang et al. 10.5194/amt-13-5955-2020
559. Seasonal climatology and relationship between AOD and cloud properties inferred from the MODIS over Malawi, Southeast Africa M. Nyasulu et al. 10.1016/j.apr.2020.07.023
560. Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey G. Tuna Tuygun & T. Elbir 10.1016/j.apr.2020.09.008
561. Recent improvements of the Meteorological Radiation Model for solar irradiance estimates under all-sky conditions H. Kambezidis et al. 10.1016/j.renene.2016.02.060
562. High-resolution spatiotemporal mapping of PM2.5 concentrations at Mainland China using a combined BME-GWR technique L. Xiao et al. 10.1016/j.atmosenv.2017.10.062
563. 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
564. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
565. The empirical relationship between PM2.5 and AOD in Nanjing of the Yangtze River Delta P. Shao et al. 10.1016/j.apr.2016.09.001
566. Multiyear applications of WRF/Chem over continental U.S.: Model evaluation, variation trend, and impacts of boundary conditions K. Yahya et al. 10.1002/2015JD023819
567. Satellite observation of abnormal yellow haze clouds over East China during summer agricultural burning season M. Tao et al. 10.1016/j.atmosenv.2013.07.033
568. Aerosol optical depth retrieval over land from OCEANSAT-2/ OCM- 2 data – A simple physics based approach M. Mehta et al. 10.1016/j.apr.2022.101339
569. Aerosol optical depth trend over the Middle East K. Klingmüller et al. 10.5194/acp-16-5063-2016
570. The influence and contribution of fine mode particles to aerosol optical properties during haze events at the foothills of Himalaya-Karakorum region S. Mohyuddin et al. 10.1016/j.atmosenv.2022.119388
571. Visibility-derived aerosol optical depth over global land from 1959 to 2021 H. Hao et al. 10.5194/essd-16-3233-2024
572. Development and implementation of a remote-sensing and in situ data-assimilating version of CMAQ for operational PM2.5 forecasting. Part 1: MODIS aerosol optical depth (AOD) data-assimilation design and testing J. McHenry et al. 10.1080/10962247.2015.1096862
573. 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
574. Assessment of the relative influences of long-range transport, fossil fuel and biomass burning from aerosol pollution under restricted anthropogenic emissions: A national scenario in India M. Dutta & A. Chatterjee 10.1016/j.atmosenv.2021.118423
575. A modeling approach to determine how much UV radiation is available across the UK and Ireland for health risk and benefit studies A. Kazantzidis et al. 10.1039/c5pp00008d
576. Parameterization of clear-sky surface irradiance and its implications for estimation of aerosol direct radiative effect and aerosol optical depth X. Xia 10.1038/srep14376
577. City-level variations in aerosol optical properties and aerosol type identification derived from long-term MODIS/Aqua observations in the Sichuan Basin, China H. Cai et al. 10.1016/j.uclim.2021.100886
578. Verification of dust forecast over the Indian region with satellite and ground based observations P. Das et al. 10.1080/01431161.2016.1239285
579. 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
580. A MODIS-based modeling scheme for the estimation of downward surface shortwave radiation under cloud-free conditions E. Javadnia et al. 10.1007/s12517-017-3187-6
581. Aerosol vertical distribution, optical properties and dust transport in the Western Mediterranean basin (case study: Summer, 2012) J. Benkhalifa et al. 10.1016/j.apr.2019.02.013
582. Cyclone contribution to dust transport over the Mediterranean region E. Flaounas et al. 10.1002/asl.584
583. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
584. Increased aerosol content in the atmosphere over Ukraine during summer 2010 E. Galytska et al. 10.5194/amt-11-2101-2018
585. Spatial variability of aerosols over Greek archaeological sites using Space-Borne Remote Sensing A. Sakka et al. 10.1016/j.culher.2020.07.001
586. Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations V. Sheel et al. 10.1002/joc.5367
587. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes P. Xian et al. 10.5194/acp-22-9949-2022
588. 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
589. Global evidence of aerosol-induced invigoration in marine cumulus clouds A. Douglas & T. L'Ecuyer 10.5194/acp-21-15103-2021
590. Estimation of atmospheric aerosol composition from ground‐based remote sensing measurements of Sun‐sky radiometer Y. Xie et al. 10.1002/2016JD025839
591. Advanced Libya-4 radiometric and atmospheric characterization utilizing moderate resolution imaging spectroradiometer and visible infrared imaging radiometer suite full-scan reflective solar band measurements D. Doelling et al. 10.1117/1.JRS.18.034511
592. Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. 10.1016/j.scitotenv.2019.136443
593. Study of MODIS derived AOD at three different locations in the Indo Gangetic Plain: Kanpur, Gandhi College and Nainital P. Choudhry et al. 10.5194/angeo-30-1479-2012
594. On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China A. Sundström et al. 10.5194/acp-15-505-2015
595. A satellite-derived, ground-measurement-independent monthly PM2.5 mass concentration dataset over China during 2000–2015 Y. Zhang et al. 10.1080/20964471.2021.1918908
596. Global observations of cloud‐sensitive aerosol loadings in low‐level marine clouds H. Andersen et al. 10.1002/2016JD025614
597. An Evaluation of Two Decades of Aerosol Optical Depth Retrievals from MODIS over Australia M. Shaylor et al. 10.3390/rs14112664
598. 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
599. Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona S. Lolli et al. 10.5194/acp-23-12887-2023
600. Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model Y. Zhou et al. 10.1029/2020EA001222
601. Retrieval of Aerosol Optical Depth Using the Empirical Orthogonal Functions (EOFs) Based on PARASOL Multi-Angle Intensity Data Y. Zhang et al. 10.3390/rs9060578
602. Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations Y. Cheng et al. 10.1029/2022GL099908
603. Statistical data fusion of multi-sensor AOD over the Continental United States S. Jinnagara Puttaswamy et al. 10.1080/10106049.2013.827750
604. A new indicator on the impact of large-scale circulation on wintertime particulate matter pollution over China B. Jia et al. 10.5194/acp-15-11919-2015
605. Landsat 8-based inversion methods for aerosol optical depths in the Beijing area Y. Ou et al. 10.1016/j.apr.2016.09.004
606. The environmental impact of the Puyehue–Cordon Caulle 2011 volcanic eruption on Buenos Aires G. Raga et al. 10.5194/nhess-13-2319-2013
607. A global study of NDVI difference among moderate-resolution satellite sensors X. Fan & Y. Liu 10.1016/j.isprsjprs.2016.09.008
608. Public health impacts of the severe haze in Equatorial Asia in September–October 2015: demonstration of a new framework for informing fire management strategies to reduce downwind smoke exposure S. Koplitz et al. 10.1088/1748-9326/11/9/094023
609. An intercomparison of AOD-converted PM2.5 concentrations using different approaches for estimating aerosol vertical distribution T. Su et al. 10.1016/j.atmosenv.2017.07.054
610. A method to estimate concentrations of surface-level particulate matter using satellite-based aerosol optical thickness J. Tao et al. 10.1007/s11430-012-4503-3
611. Novel Decomposition Scheme for Characterizing Urban Air Quality with MODIS P. Misra et al. 10.3390/rs9080812
612. Dust concentration over a semi-arid region: Parametric study and establishment of new empirical models N. Najafpour et al. 10.1016/j.atmosres.2020.104995
613. Multi-instrumental observation of an exceptionally strong Saharan dust outbreak over Portugal J. Preißler et al. 10.1029/2011JD016527
614. Estimation of Land Surface Incident Shortwave Radiation From Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method Y. Zhang et al. 10.1109/TGRS.2020.3038829
615. MAIAC AOD profiling over the Persian Gulf: A seasonal-independent machine learning approach M. Pashayi et al. 10.1016/j.apr.2024.102128
616. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
617. Aerosol optical properties over Delhi during a dust event in summer 2014: plausible implications D. Sethi et al. 10.1007/s12648-021-02092-3
618. Assessment of the Level-3 MODIS daily aerosol optical depth in the context of surface solar radiation and numerical weather modeling J. Ruiz-Arias et al. 10.5194/acp-13-675-2013
619. Impact of aerosol layering, complex aerosol mixing, and cloud coverage on high-resolution MAIAC aerosol optical depth measurements: Fusion of lidar, AERONET, satellite, and ground-based measurements I. Rogozovsky et al. 10.1016/j.atmosenv.2020.118163
620. Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints A. Douglas & T. L'Ecuyer 10.5194/acp-19-6251-2019
621. Assessment of two intense dust storm characteristics over Indo – Gangetic basin and their radiative impacts: A case study S. Tiwari et al. 10.1016/j.atmosres.2019.05.011
622. Comparison of three different methodologies for the identification of high atmospheric turbidity episodes D. Mateos et al. 10.1016/j.atmosres.2019.104835
623. Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. 10.1016/j.scitotenv.2022.159117
624. 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
625. Trends of Aerosol Optical Thickness Using VIIRS S-NPP during Fog Episodes in Pakistan and India M. Umar et al. 10.3390/atmos12020242
626. Long-term validation and error analysis of DB and MAIAC aerosol products over bright surface of China W. Ji et al. 10.1016/j.atmosres.2023.107106
627. Evaluating the assumptions of surface reflectance and aerosol type selection within the MODIS aerosol retrieval over land: the problem of dust type selection T. Mielonen et al. 10.5194/amt-4-201-2011
628. Statistical intercomparison and validation of multisensory aerosol optical depth retrievals over three AERONET sites in Kenya, East Africa R. Boiyo et al. 10.1016/j.atmosres.2017.07.012
629. Trends in aerosol optical properties over the Bohai Rim in Northeast China from 2004 to 2010 J. Xin et al. 10.1016/j.atmosenv.2011.08.052
630. Inversion of Aerosol Optical Depth: Incorporating Multimodel Approach X. Sun et al. 10.1109/TGRS.2024.3397315
631. 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
632. A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
633. Aerosol optical depth climatology over Central Asian countries based on Aqua-MODIS Collection 6.1 data: Aerosol variations and sources D. Rupakheti et al. 10.1016/j.atmosenv.2019.03.020
634. Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations V. Martins et al. 10.1016/j.atmosres.2019.04.005
635. Recent Decadal Aerosol Trends over Oceanic Regions Surrounding Indian Landmass M. Mehta & R. Khushboo 10.1007/s41810-022-00157-2
636. Revisiting the relationship between Atlantic dust and tropical cyclone activity using aerosol optical depth reanalyses: 2003–2018 P. Xian et al. 10.5194/acp-20-15357-2020
637. An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database H. Zhang et al. 10.1002/2016JD024859
638. Meteorological parameters and gaseous pollutant concentrations as predictors of daily continuous PM2.5 concentrations using deep neural network in Beijing–Tianjin–Hebei, China X. Wang & W. Sun 10.1016/j.atmosenv.2019.05.004
639. Two decades of high-resolution aerosol product over the Sierra Nevada Mountain region (SE Spain): Spatio-temporal distribution and impact on ecosystems A. del Águila et al. 10.1016/j.atmosres.2024.107515
640. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? U. Dumka et al. 10.3390/rs14030549
641. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
642. The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015 J. Flemming et al. 10.5194/acp-17-1945-2017
643. High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images H. Lin et al. 10.1016/j.atmosenv.2021.118591
644. Spatial regression with an informatively missing covariate: Application to mapping fine particulate matter N. Grantham et al. 10.1002/env.2499
645. Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. 10.1016/j.isprsjprs.2024.06.022
646. 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
647. Long-Term Aerosol Trends and Variability over Central Saudi Arabia Using Optical Characteristics from Solar Village AERONET Measurements M. Al Otaibi et al. 10.3390/atmos10120752
648. 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
649. Calibration of the degree of linear polarization measurements of the polarized Sun-sky radiometer based on the POLBOX system Z. Li et al. 10.1364/AO.57.001011
650. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
651. Effects of crop residue burning on aerosol properties, plume characteristics, and long‐range transport over northern India D. Kaskaoutis et al. 10.1002/2013JD021357
652. Modeling the South American regional smoke plume: aerosol optical depth variability and surface shortwave flux perturbation N. Rosário et al. 10.5194/acp-13-2923-2013
653. Use of spaceborne lidar for the evaluation of thin cirrus contamination and screening in the Aqua MODIS Collection 5 aerosol products J. Huang et al. 10.1002/jgrd.50504
654. Validation of satellite and model aerosol optical depth and precipitable water vapour observations with AERONET data over Pune, India K. Vijayakumar et al. 10.1080/01431161.2018.1476789
655. Two decades of aerosol observations by AATSR, MISR, MODIS and MERRA-2 over India and Indian Ocean J. Kuttippurath & S. Raj 10.1016/j.rse.2021.112363
656. Dust storm induced severe cooling in the northern Arabian Sea during winter 2022 S. Nukapothula et al. 10.1016/j.dsr.2023.104047
657. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
658. Enhancing vulnerability assessment through spatially explicit modeling of mountain social-ecological systems exposed to multiple environmental hazards S. Pirasteh et al. 10.1016/j.scitotenv.2024.172744
659. Aerosol's optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study T. Saeed et al. 10.5194/acp-14-3751-2014
660. Trend analysis in aerosol optical depths and pollutant emission estimates between 2000 and 2009 A. de Meij et al. 10.1016/j.atmosenv.2012.01.059
661. 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
662. Aerosol Optical Depth Retrieval Over South Asia Using FY-4A/AGRI Data Y. Xie et al. 10.1109/TGRS.2021.3124421
663. Assessment of long-term trends in chlorophyll-a and sea surface temperature in the Arabian Sea and their association with aerosols using remote sensing Y. Sun et al. 10.1016/j.ocecoaman.2023.106716
664. Cloud and aerosol classification for 2.5 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets Y. Wang et al. 10.5194/amt-8-5133-2015
665. Evaluation and improvement of MODIS aerosol optical depth products over China Y. Li et al. 10.1016/j.atmosenv.2019.117251
666. 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
667. High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS P. Gupta et al. 10.3390/rs12172847
668. Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification Q. Pu & E. Yoo 10.1016/j.envpol.2021.116574
669. 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
670. The response of clouds and aerosols to cosmic ray decreases J. Svensmark et al. 10.1002/2016JA022689
671. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data K. Sun et al. 10.3390/rs9010089
672. MODIS aerosol optical depth observations over urban areas in Pakistan: quantity and quality of the data for air quality monitoring P. Gupta et al. 10.5094/APR.2013.005
673. Spatial variations and trends in AOD climatology over East Africa during 2002–2016: a comparative study using three satellite data sets R. Boiyo et al. 10.1002/joc.5446
674. Characteristic dissimilarities during high aerosol loading days between western and eastern Indo-Gangetic Plain K. Shukla et al. 10.1016/j.atmosenv.2021.118837
675. The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS L. Kong et al. 10.1016/j.envpol.2016.05.085
676. Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran A. Rashki et al. 10.1016/j.scitotenv.2013.06.045
677. Assessment of atmospheric aerosols from two reanalysis products over Australia S. Mukkavilli et al. 10.1016/j.atmosres.2018.08.026
678. A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment Y. Shi et al. 10.5194/amt-4-2823-2011
679. Development of a Practical Atmospheric Correction Algorithm for Inland and Nearshore Coastal Waters D. Zhao et al. 10.1109/TGRS.2021.3092839
680. Aerosol optical depth retrieval from visibility in China during 1973–2014 Z. Zhang et al. 10.1016/j.atmosenv.2017.09.004
681. Characterisation of aerosol constituents from wildfires using satellites and model data: a case study in Knysna, South Africa L. Shikwambana et al. 10.1080/01431161.2019.1573338
682. 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
683. Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran S. Bamehr & S. Sabetghadam 10.1007/s11356-020-11003-8
684. Estimation of High-Resolution Surface Shortwave Radiative Fluxes Using SARA AOD over the Southern Great Plains E. Javadnia et al. 10.3390/rs9111146
685. 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
686. Retrieval of Aerosol Fine-Mode Fraction from Intensity and Polarization Measurements by PARASOL over East Asia Y. Zhang et al. 10.3390/rs8050417
687. Improved retrieval of PM2.5 from satellite data products using non-linear methods M. Sorek-Hamer et al. 10.1016/j.envpol.2013.08.002
688. 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
689. 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
690. Prognosis of boundary layer assimilative capacity over a landlocked urban district in India: A prelude to exposure risk assessment N. Kumar & A. Middey 10.1016/j.uclim.2021.101076
691. An algorithm for hyperspectral remote sensing of aerosols: 2. Information content analysis for aerosol parameters and principal components of surface spectra W. Hou et al. 10.1016/j.jqsrt.2017.01.041
692. Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia N. Zaman et al. 10.3390/app11167326
693. 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
694. Satellite-based estimate of the variability of warm cloud properties associated with aerosol and meteorological conditions Y. Liu et al. 10.5194/acp-18-18187-2018
695. Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data G. Huang et al. 10.1109/JSTARS.2015.2396491
696. Validation of the improved GOES-16 aerosol optical depth product over North America D. Fu et al. 10.1016/j.atmosenv.2023.119642
697. Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
698. Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
699. Lidar signal simulation for the evaluation of aerosols in chemistry transport models S. Stromatas et al. 10.5194/gmd-5-1543-2012
700. Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide I. Konovalov et al. 10.5194/acp-17-4513-2017
701. Inter-comparison of multi-satellites and Aeronet AOD over Indian Region R. Mangla et al. 10.1016/j.atmosres.2020.104950
702. Estimation of pan-European, daily total, fine-mode and coarse-mode Aerosol Optical Depth at 0.1° resolution to facilitate air quality assessments Z. Chen et al. 10.1016/j.scitotenv.2024.170593
703. Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
704. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area X. Tian & Z. Gao 10.3390/atmos10090548
705. 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
706. African desert dust influences migrations and fisheries of the Atlantic skipjack-tuna S. Rodríguez et al. 10.1016/j.atmosenv.2023.120022
707. Population Exposure to Ambient PM2.5 at the Subdistrict Level in China Y. Long et al. 10.3390/ijerph15122683
708. Analysis of fine-mode aerosol retrieval capabilities by different passive remote sensing instrument designs K. Knobelspiesse et al. 10.1364/OE.20.021457
709. Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. 10.5194/acp-22-3553-2022
710. Retrieval and Validation of Atmospheric Aerosol Optical Depth From AVHRR Over China L. Gao et al. 10.1109/TGRS.2016.2574756
711. China Collection 2.0: The aerosol optical depth dataset from the synergetic retrieval of aerosol properties algorithm Y. Xue et al. 10.1016/j.atmosenv.2014.06.019
712. A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation M. Cao et al. 10.1109/TGRS.2023.3307934
713. Validation of Himawari-8 aerosol optical depth retrievals over China Z. Zhang et al. 10.1016/j.atmosenv.2018.11.024
714. Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China Y. Che et al. 10.1016/j.isprsjprs.2018.09.004
715. 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
716. 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
717. Monitoring temporal–spatial variations of AOD over the Yangtze River Delta, China X. Wang et al. 10.1007/s00477-018-1575-4
718. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
719. 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
720. Variability of Major Aerosol Types in China Classified Using AERONET Measurements L. Zhang & J. Li 10.3390/rs11202334
721. Statistical analysis of single-track instrument sampling in spaceborne aerosol remote sensing for climate research I. Geogdzhayev et al. 10.1016/j.jqsrt.2013.02.003
722. 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
723. Sensitivity of the WRF-Chem (V3.6.1) model to different dust emission parametrisation: assessment in the broader Mediterranean region E. Flaounas et al. 10.5194/gmd-10-2925-2017
724. Meteorological regimes modulating dust outbreaks in southwest Asia: The role of pressure anomaly and Inter-Tropical Convergence Zone on the 1–3 July 2014 case D. Kaskaoutis et al. 10.1016/j.aeolia.2015.06.006
725. Characterizing regional aerosol pollution in central China based on 19 years of MODIS data: Spatiotemporal variation and aerosol type discrimination L. Shen et al. 10.1016/j.envpol.2020.114556
726. Role of surface wind and vegetation cover in multi-decadal variations of dust emission in the Sahara and Sahel D. Kim et al. 10.1016/j.atmosenv.2016.10.051
727. Grid-cell aerosol direct shortwave radiative forcing calculated using the SBDART model with MODIS and AERONET observations: An application in winter and summer in eastern China Y. Fu et al. 10.1007/s00376-017-6226-z
728. 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
729. AOD trends during 2001–2010 from observations and model simulations A. Pozzer et al. 10.5194/acp-15-5521-2015
730. Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS D. Fu et al. 10.1016/j.atmosenv.2022.119080
731. Can MERRA-2 Reanalysis Data Reproduce the Three-Dimensional Evolution Characteristics of a Typical Dust Process in East Asia? A Case Study of the Dust Event in May 2017 W. Yao et al. 10.3390/rs12060902
732. 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
733. Evaluation of the sectional aerosol microphysics module SALSA implementation in ECHAM5-HAM aerosol-climate model T. Bergman et al. 10.5194/gmd-5-845-2012
734. Constraints on aerosol sources using GEOS‐Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data X. Xu et al. 10.1002/jgrd.50515
735. Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China D. Li et al. 10.3390/rs12060978
736. Satellite-based identification of aerosol particle species using a 2D-space aerosol classification model Q. Mao et al. 10.1016/j.atmosenv.2019.117057
737. Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model Y. Chi et al. 10.3390/rs12223786
738. Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger 10.5194/amt-8-4699-2015
739. Long-term (2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta N. Kang et al. 10.1016/j.atmosres.2016.06.008
740. Assessment of OMI near‐UV aerosol optical depth over Central and East Asia W. Zhang et al. 10.1002/2015JD024103
741. Analysis of Surface Reflectance Retrieval Over Four Typical Surfaces Via Gaofen-1 Satellite WFV4 Imagery H. Guo et al. 10.1007/s12524-019-01068-5
742. Testing the two‐layer model for correcting near‐cloud reflectance enhancement using LES/SHDOM‐simulated radiances G. Wen et al. 10.1002/2016JD025021
743. A high resolution satellite view of the aerosol weekly cycle variability over Central Europe A. Georgoulias & K. Kourtidis 10.1016/j.atmosres.2012.01.003
744. Enhanced atmospheric pollution due to the Uttarakhand fire event of April 2016 and its radiative impact D. Lawand et al. 10.1007/s11869-022-01234-8
745. An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data Y. Si et al. 10.1109/TGRS.2024.3367883
746. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
747. Satellite observations of cloud regime development: the role of aerosol processes E. Gryspeerdt et al. 10.5194/acp-14-1141-2014
748. A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation B. Ge et al. 10.1109/TGRS.2018.2854743
749. Spatiotemporal distribution of aerosols over the Indian subcontinent and its dependence on prevailing meteorological conditions S. Nizar & B. Dodamani 10.1007/s11869-019-00677-w
750. Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe P. Glantz & M. Tesche 10.5194/amt-5-1727-2012
751. Regional and monthly and clear-sky aerosol direct radiative effect (and forcing) derived from the GlobAEROSOL-AATSR satellite aerosol product G. Thomas et al. 10.5194/acp-13-393-2013
752. Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI J. Dim et al. 10.1155/2013/508064
753. Declining pre-monsoon dust loading over South Asia: Signature of a changing regional climate S. Pandey et al. 10.1038/s41598-017-16338-w
754. A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches X. Yan et al. 10.5194/essd-14-1193-2022
755. Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust B. Cvetkovic et al. 10.3390/atmos13091345
756. Satellite perspective of aerosol intercontinental transport: From qualitative tracking to quantitative characterization H. Yu et al. 10.1016/j.atmosres.2012.12.013
757. Model-enforced post-process correction of satellite aerosol retrievals A. Lipponen et al. 10.5194/amt-14-2981-2021
758. Connecting Indonesian Fires and Drought With the Type of El Niño and Phase of the Indian Ocean Dipole During 1979–2016 X. Pan et al. 10.1029/2018JD028402
759. Systematic variations of cloud top temperature and precipitation rate with aerosols over the global tropics F. Niu & Z. Li 10.5194/acp-12-8491-2012
760. Correlation analysis between regional carbon monoxide and black carbon from satellite measurements J. Mok et al. 10.1016/j.atmosres.2017.04.004
761. Atmospheric circulation evolution related to desert‐dust episodes over the Mediterranean A. Gkikas et al. 10.1002/qj.2466
762. Characteristics of atmospheric aerosol optical depth variation in China during 1993–2012 X. Xu et al. 10.1016/j.atmosenv.2015.08.042
763. A study on the potential applications of satellite data in air quality monitoring and forecasting C. Li et al. 10.1016/j.atmosenv.2011.04.032
764. An Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by Means of SEVIRI Data F. Marchese et al. 10.3390/rs9060537
765. 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
766. Evaluation of convective storms using spaceborne radars over the Indo‐Gangetic Plains and western coast of India R. Mangla et al. 10.1002/met.1917
767. The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth J. Redemann et al. 10.5194/acp-12-3025-2012
768. 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
769. New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over Ocean* M. Alexandrov et al. 10.1175/JAS-D-15-0130.1
770. Estimating ground-level PM10 concentration in northwestern China using geographically weighted regression based on satellite AOD combined with CALIPSO and MODIS fire count W. You et al. 10.1016/j.rse.2015.07.020
771. Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity A. Gumber et al. 10.5194/amt-16-2547-2023
772. Smoke aerosol properties and ageing effects for northern temperate and boreal regions derived from AERONET source and age attribution T. Nikonovas et al. 10.5194/acp-15-7929-2015
773. 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
774. Comparison and evaluation of the MODIS Collection 6 aerosol data in China M. Tao et al. 10.1002/2015JD023360
775. Aerosol-type retrieval and uncertainty quantification from OMI data A. Kauppi et al. 10.5194/amt-10-4079-2017
776. Reduction of solar photovoltaic resources due to air pollution in China X. Li et al. 10.1073/pnas.1711462114
777. An assessment of the spatio-temporal dynamics of Landsat-derived aerosol concentration in relation with land cover and road networks in the Lagos megacity E. Ayodele et al. 10.1007/s11356-022-25042-w
778. Effect of Ocean Warming on Cloud Properties Over India and Adjoining Oceanic Regions R. Shah & R. Srivastava 10.1007/s00024-020-02607-9
779. 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
780. 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
781. Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm X. Su et al. 10.1016/j.envint.2022.107343
782. Quality Assessment and Application Scenario Analysis of AGRI Land Aerosol Product from the Geostationary Satellite Fengyun-4B in China N. Wang et al. 10.3390/s24165309
783. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. 10.3390/rs13142842
784. MAC‐v1: A new global aerosol climatology for climate studies S. Kinne et al. 10.1002/jame.20035
785. Atmospheric Correction of Multispectral VNIR Remote Sensing Data: Algorithm and Inter‐sensor Comparison of Aerosol and Surface Reflectance Products M. Mishra et al. 10.1029/2019EA000710
786. 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
787. Validation of MODIS aerosol optical depth product over China using CARSNET measurements Y. Xie et al. 10.1016/j.atmosenv.2011.08.002
788. Lightning activity and aerosols in the Mediterranean region E. Proestakis et al. 10.1016/j.atmosres.2015.11.010
789. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. 10.5194/acp-21-357-2021
790. Estimation and inter-comparison of dust aerosols based on MODIS, MISR and AERONET retrievals over Asian desert regions A. Habib et al. 10.1016/j.jes.2018.04.019
791. 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
792. A robust calibration approach for PM<sub>10</sub> prediction from MODIS aerosol optical depth X. Yap & M. Hashim 10.5194/acp-13-3517-2013
793. Global association of aerosol with flash density of intense lightning O. Altaratz et al. 10.1088/1748-9326/aa922b
794. Aerosol optical and physical properties during winter monsoon pollution transport in an urban environment S. Verma et al. 10.1007/s11356-013-2383-5
795. Atmospherically resistant vegetation water indices using the 970-nm water absorption feature Q. Jiao et al. 10.1117/1.JRS.14.034504
796. Study of continuous air pollution in winter over Wuhan based on ground-based and satellite observations B. Liu et al. 10.1016/j.apr.2017.08.004
797. Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5 Y. Xu et al. 10.1016/j.envpol.2018.08.029
798. Validation and comparison of high-resolution MAIAC aerosol products over Central Asia X. Chen et al. 10.1016/j.atmosenv.2021.118273
799. 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
800. 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
801. Typical types and formation mechanisms of haze in an Eastern Asia megacity, Shanghai K. Huang et al. 10.5194/acp-12-105-2012
802. Estimation of all-sky instantaneous surface incident shortwave radiation from Moderate Resolution Imaging Spectroradiometer data using optimization method Y. Zhang et al. 10.1016/j.rse.2018.02.052
803. Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade E. Alston et al. 10.5194/amt-5-1667-2012
804. Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite L. Li et al. 10.1029/2020JD032665
805. 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
806. Validation of POLDER GRASP aerosol optical retrieval over China using SONET observations Y. Wei et al. 10.1016/j.jqsrt.2020.106931
807. Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential J. Ruiz-Arias et al. 10.1038/srep30546
808. 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
809. Optical-microphysical properties of Saharan dust aerosols and composition relationship using a multi-wavelength Raman lidar, in situ sensors and modelling: a case study analysis A. Papayannis et al. 10.5194/acp-12-4011-2012
810. Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images R. Paulino et al. 10.3390/rs14081829
811. Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. 10.1016/j.rse.2024.114115
812. The inter-comparison of MODIS, MISR and GOCART aerosol products against AERONET data over China T. Cheng et al. 10.1016/j.jqsrt.2012.06.016
813. 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
814. AOD Trends over Megacities Based on Space Monitoring Using MODIS and MISR P. Alpert et al. 10.4236/ajcc.2012.13010
815. 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
816. Spatial and temporal variations of satellite-based aerosol optical depth over Iran in Southwest Asia: Identification of a regional aerosol hot spot S. Sabetghadam et al. 10.1016/j.apr.2018.01.013
817. Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula A. Zhu et al. 10.5194/acp-22-15425-2022
818. Exploring the effect of waterbodies coupled with other environmental parameters to model PM2.5 over Delhi-NCT in northwest India B. Gayen et al. 10.1016/j.apr.2022.101614
819. 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
820. Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties H. Wang et al. 10.1029/2019EA000903
821. Annual and Seasonal Variations in Aerosol Optical Characteristics in the Huai River Basin, China from 2007 to 2021 X. Deng et al. 10.3390/rs16091571
822. Direct radiative effects of tropospheric aerosols on changes of global surface soil moisture S. Liu et al. 10.1007/s10584-016-1611-7
823. Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region U. Dumka et al. 10.3390/rs13163248
824. Evaluation of the MODIS C6 Aerosol Optical Depth Products over Chongqing, China G. Shi et al. 10.3390/atmos8110227
825. Long-Term, High-Resolution Survey of Atmospheric Aerosols over Egypt with NASA’s MODIS Data M. Shokr et al. 10.3390/rs9101027
826. 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
827. Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. 10.1002/2016JD025797
828. Retrieval of high-resolution aerosol optical depth (AOD) using Landsat 8 imageries over different LULC classes over a city along Indo-Gangetic Plain, India R. Singh et al. 10.1007/s10661-024-12631-0
829. First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
830. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
831. 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
832. Observationally-constrained estimates of global fine-mode AOD K. Lee & C. Chung 10.5194/acp-13-2907-2013
833. Study of aerosol optical properties during long-range transport of biomass burning from Canada to Central Europe in July 2013 K. Markowicz et al. 10.1016/j.jaerosci.2016.08.006
834. Time series model prediction and trend variability of aerosol optical depth over coal mines in India K. Soni et al. 10.1007/s11356-014-3561-9
835. Concentration of particulate matter and atmospheric pollutants in the residential area of Kathmandu Valley: A case study of March–April 2021 forest fire events J. Khadgi et al. 10.1016/j.envpol.2024.125280
836. Characterization of aerosol episodes in the greater Mediterranean Sea area from satellite observations (2000–2007) A. Gkikas et al. 10.1016/j.atmosenv.2015.11.056
837. Assessment of AOD variability over Saudi Arabia using MODIS Deep Blue products M. Butt et al. 10.1016/j.envpol.2017.07.104
838. Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures R. Meng et al. 10.3390/rs71115224
839. Evaluation of Moderate-Resolution Imaging Spectroradiometer (MODIS) Deep Blue Aerosol Products Using Ground-Based Measurements over Beijing S. Yang et al. 10.2151/sola.2011-034
840. Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors M. Petrenko & C. Ichoku 10.5194/acp-13-6777-2013
841. 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
842. Trends in aerosol optical properties over Eastern Europe based on MODIS-Aqua M. Filonchyk et al. 10.1016/j.gsf.2020.03.014
843. Changing aerosol loadings over Central Himalayan region (2007–2016) – A satellite perspective M. Mehta et al. 10.1016/j.atmosenv.2019.03.024
844. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
845. MODIS 3 km aerosol product: algorithm and global perspective L. Remer et al. 10.5194/amt-6-1829-2013
846. Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia M. Marvin et al. 10.5194/acp-24-3699-2024
847. Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
848. The spatiotemporal and dependency analysis of selected meteorological parameters and normalized difference vegetation index with aerosol optical depth over east Africa G. Khamala et al. 10.1016/j.heliyon.2024.e39961
849. PM<sub>2.5</sub> surface concentrations in southern West African urban areas based on sun photometer and satellite observations J. Léon et al. 10.5194/acp-21-1815-2021
850. Retrieval uncertainty and consistency of Suomi-NPP VIIRS Deep Blue and Dark Target aerosol products under diverse aerosol loading scenarios over South Asia K. Aditi et al. 10.1016/j.envpol.2023.121913
851. Recent global aerosol optical depth variations and trends — A comparative study using MODIS and MISR level 3 datasets M. Mehta et al. 10.1016/j.rse.2016.04.004
852. 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
853. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. 10.5194/acp-17-6423-2017
854. Spatial and temporal variability in desert dust and anthropogenic pollution in Iraq, 1997–2010 A. Chudnovsky et al. 10.1080/10962247.2016.1153528
855. Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India V. Sharma et al. 10.2478/jlecol-2022-0019
856. 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
857. Chemical characteristics of particulate matters and their emission sources over Varanasi during winter season V. Pratap et al. 10.1007/s10874-020-09405-6
858. Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. 10.1016/j.rse.2020.112226
859. Particulate matter variability in Kathmandu based on in-situ measurements, remote sensing, and reanalysis data S. Becker et al. 10.1016/j.atmosres.2021.105623
860. Do spaceborne aerosol observations limit the accuracy of modeled surface solar irradiance? J. Ruiz‐Arias et al. 10.1002/2014GL062309
861. Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. 10.3390/rs13153027
862. NASA A-Train and Terra observations of the 2010 Russian wildfires J. Witte et al. 10.5194/acp-11-9287-2011
863. Impact of dust storm on phytoplankton bloom over the Arabian Sea: a case study during March 2012 K. Bali et al. 10.1007/s11356-019-04602-7
864. MODIS 3 km aerosol product: applications over land in an urban/suburban region L. Munchak et al. 10.5194/amt-6-1747-2013
865. Aerosols and lightning activity: The effect of vertical profile and aerosol type E. Proestakis et al. 10.1016/j.atmosres.2016.07.031
866. Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations H. Lee et al. 10.1016/j.envres.2012.06.011
867. Statistical analysis of aerosols over the Gangetic–Himalayan region using ARIMA model based on long-term MODIS observations K. Soni et al. 10.1016/j.atmosres.2014.05.025
868. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China A. Fan et al. 10.3390/rs9121269
869. 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
870. Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China X. Yan et al. 10.1016/j.atmosenv.2017.09.023
871. The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
872. Fusion of Mobile In situ and Satellite Remote Sensing Observations of Chemical Release Emissions to Improve Disaster Response I. Leifer et al. 10.3389/fenvs.2016.00059
873. Composite Aerosol Optical Depth Mapping over Northeast Asia from GEO-LEO Satellite Observations S. Ahn et al. 10.3390/rs13061096
874. Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area V. Boulisset et al. 10.3390/rs16010140
875. Impacts of Aerosol Loading in the Hindu Kush Himalayan Region Based on MERRA-2 Reanalysis Data S. Ningombam et al. 10.3390/atmos12101290
876. Impact of sensor degradation on the MODIS NDVI time series D. Wang et al. 10.1016/j.rse.2011.12.001
877. A study of urban pollution and haze clouds over northern China during the dusty season based on satellite and surface observations M. Tao et al. 10.1016/j.atmosenv.2013.10.010
878. Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data H. Bibi et al. 10.1016/j.atmosenv.2015.04.013
879. Classification of dust days by satellite remotely sensed aerosol products M. Sorek-Hamer et al. 10.1080/01431161.2012.748991
880. Impact of Two Intense Dust Storms on Aerosol Characteristics and Radiative Forcing over Patiala, Northwestern India D. Sharma et al. 10.1155/2012/956814
881. The effect of the dynamic surface bareness on dust source function, emission, and distribution D. Kim et al. 10.1029/2012JD017907
882. Investigating aerosol properties in Peninsular Malaysia via the synergy of satellite remote sensing and ground-based measurements K. Kanniah et al. 10.1016/j.atmosres.2013.11.018
883. Biomass burning aerosols observed in Eastern Finland during the Russian wildfires in summer 2010 – Part 2: Remote sensing T. Mielonen et al. 10.1016/j.atmosenv.2011.07.016
884. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
885. Short period PM2.5 prediction based on multivariate linear regression model R. Zhao et al. 10.1371/journal.pone.0201011
886. Estimating spatio-temporal resolved PM10 aerosol mass concentrations using MODIS satellite data and land use regression over Lombardy, Italy F. Nordio et al. 10.1016/j.atmosenv.2013.03.043
887. An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land J. Wei et al. 10.1029/2017JD027795
888. Intercomparison and Validation of Satellite and Ground-Based Aerosol Optical Depth (AOD) Retrievals over Six AERONET Sites in West Africa K. Ogunjobi & P. Awoleye 10.1007/s41810-019-00040-7
889. Utilization of satellite observation of ozone and aerosols in providing initial and boundary condition for regional air quality studies A. Pour-Biazar et al. 10.1029/2010JD015200
890. Comprehensive study on AOD trends over the Indian subcontinent: a statistical approach A. Srivastava & S. Saran 10.1080/01431161.2017.1323284
891. Improving the CALIOP aerosol optical depth using combined MODIS-CALIOP observations and CALIOP integrated attenuated total color ratio M. Oo & R. Holz 10.1029/2010JD014894
892. Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network R. Kahn et al. 10.1029/2010JD014601
893. Inter-comparison and performance evaluation of chemistry transport models over Indian region G. Govardhan et al. 10.1016/j.atmosenv.2015.10.065
894. Performance of WRF-Chem over Indian region: Comparison with measurements G. Govardhan et al. 10.1007/s12040-015-0576-7
895. A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products J. Zhang & J. Reid 10.5194/acp-10-10949-2010
896. Long-term (1995–2018) aerosol optical depth derived using ground based AERONET and SKYNET measurements from aerosol aged-background sites S. Ningombam et al. 10.1016/j.apr.2018.10.008
897. An evaluation of satellite aerosol products against sunphotometer measurements F. Bréon et al. 10.1016/j.rse.2011.06.017
898. A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces M. Bilal et al. 10.1016/j.rse.2013.04.014
899. Relationships between mineral dust and cloud properties in the West African Sahel L. Klüser & T. Holzer-Popp 10.5194/acp-10-6901-2010
900. Observation operator for the assimilation of aerosol type resolving satellite measurements into a chemical transport model M. Schroedter-Homscheidt et al. 10.5194/acp-10-10435-2010
901. Response to “Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET” R. Kahn et al. 10.1016/j.jqsrt.2010.11.001