1503 citations as recorded by crossref.

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21. An Evaluation of Two Decades of Aerosol Optical Depth Retrievals from MODIS over Australia M. Shaylor et al. 10.3390/rs14112664
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25. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
26. Scientific impact of MODIS C5 calibration degradation and C6+ improvements A. Lyapustin et al. 10.5194/amt-7-4353-2014
27. Population exposure across central India to PM2.5 derived using remotely sensed products in a three-stage statistical model P. Maheshwarkar & R. Sunder Raman 10.1038/s41598-020-79229-7
28. Improving the understanding between climate variability and observed extremes of global NO2 over the past 15 years W. Deng et al. 10.1088/1748-9326/abd502
29. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. 10.5194/gmd-9-671-2016
30. Estimating Particulate Matter using satellite based aerosol optical depth and meteorological variables in Malaysia N. Kamarul Zaman et al. 10.1016/j.atmosres.2017.04.019
31. Can MODIS detect trends in aerosol optical depth over land? X. Fan et al. 10.1007/s00376-017-7017-2
32. Exploring the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office's Unified Model A. Jones et al. 10.5194/acp-21-15901-2021
33. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Optical Properties Based on CMIP6 models L. Zhang et al. 10.1175/JCLI-D-21-0479.1
34. An Estimation Method for PM2.5 Based on Aerosol Optical Depth Obtained from Remote Sensing Image Processing and Meteorological Factors J. Gu et al. 10.3390/rs14071617
35. Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements A. Mhawish et al. 10.1016/j.rse.2022.113167
36. Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China L. Yang et al. 10.3390/rs14081935
37. Potential Impacts of Sahara Dust Aerosol on Rainfall Vertical Structure Over the Atlantic Ocean as Identified From EOF Analysis X. Dong et al. 10.1029/2018JD028500
38. Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. 10.16993/tellusb.1868
39. Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014 M. Bilal et al. 10.3390/rs11050486
40. Investigation of Aerosol Climatology, Optical Characteristics and Variability over Egypt Based on Satellite Observations and In-Situ Measurements I. Abou El-Magd et al. 10.3390/atmos11070714
41. Radiative impact of a heavy dust storm over India and surrounding oceanic regions S. Kedia et al. 10.1016/j.atmosenv.2018.05.005
42. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. 10.1016/j.atmosenv.2020.117768
43. Diurnal spatial distributions of aerosol optical and cloud micro-macrophysics properties in Africa based on MODIS observations D. Ntwali & H. Chen 10.1016/j.atmosenv.2018.03.054
44. Identification of dust aerosols, their sources, and the effect of soil moisture in Central Asia J. Liu et al. 10.1016/j.scitotenv.2023.161575
45. A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. 10.1016/j.rse.2023.113683
46. A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
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48. Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis B. Jiang et al. 10.1016/j.ecoinf.2024.102850
49. Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment D. Gong et al. 10.3390/su152115653
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51. Preliminary Retrieval and Validation of Aerosol Optical Depths from FY-4B Advanced Geostationary Radiation Imager Images D. Zhou et al. 10.3390/rs16020372
52. 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
53. National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD W. You et al. 10.3390/rs8030184
54. Trends in aerosol optical properties over Eastern Europe based on MODIS-Aqua M. Filonchyk et al. 10.1016/j.gsf.2020.03.014
55. Potential responses of vegetation to atmospheric aerosols in arid and semi-arid regions of Asia L. Jiao et al. 10.1007/s40333-021-0005-5
56. 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
57. Visibility, aerosol optical depth, and low-visibility events in Bangkok during the dry season and associated local weather and synoptic patterns N. Aman et al. 10.1007/s10661-022-09880-2
58. Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach J. Handschuh et al. 10.3390/rs15082064
59. Estimation and Validation of Collection 6 Moderate Resolution Imaging Spectroradiometer Aerosol Products for East Asia K. Lee 10.5572/ajae.2018.12.3.193
60. Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China L. Dong et al. 10.1016/j.atmosenv.2022.118969
61. Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020 P. Wang et al. 10.3390/atmos13121983
62. Evaluation of the NDVI-Based Pixel Selection Criteria of the MODIS C6 Dark Target and Deep Blue Combined Aerosol Product M. Bilal & J. Nichol 10.1109/JSTARS.2017.2693289
63. 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
64. Variability in the correlation between satellite-derived liquid cloud droplet effective radius and aerosol index over the northern Pacific Ocean S. Tan et al. 10.1080/16000889.2017.1391656
65. The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. 10.5194/acp-17-1511-2017
66. Precipitable water vapor over oceans from the Maritime Aerosol Network: Evaluation of global models and satellite products under clear sky conditions D. Pérez-Ramírez et al. 10.1016/j.atmosres.2018.09.007
67. Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
68. Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation X. Li et al. 10.1016/j.jclepro.2019.03.121
69. Trends in the types and absorption characteristics of ambient aerosols over the Indo-Gangetic Plain and North China Plain in last two decades S. Ramachandran & M. Rupakheti 10.1016/j.scitotenv.2022.154867
70. 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
71. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China X. Tian et al. 10.3390/rs10122021
72. Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters M. Bilal et al. 10.1016/j.atmosres.2016.11.009
73. Global Daily Actual and Snow‐Free Blue‐Sky Land Surface Albedo Climatology From 20‐Year MODIS Products A. Jia et al. 10.1029/2021JD035987
74. A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces J. Wei et al. 10.1002/2017JD026922
75. An Analysis of Environmental Effect on VIIRS Nighttime Light Monthly Composite Data at Multiple Scales in China M. Yuan et al. 10.1109/JSTARS.2022.3231960
76. 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
77. Large Air Quality and Public Health Impacts due to Amazonian Deforestation Fires in 2019 E. Butt et al. 10.1029/2021GH000429
78. Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning H. Andersen et al. 10.1080/16000889.2021.1971925
79. Adaptive Aerosol Optical Depth Forecasting Model Using GNSS Observation Q. Zhao et al. 10.1109/TGRS.2021.3129159
80. 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
81. A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula A. Alban et al. 10.1007/s41748-024-00398-w
82. 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
83. 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
84. 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
85. Variability of mineral dust deposition in the western Mediterranean basin and south-east of France J. Vincent et al. 10.5194/acp-16-8749-2016
86. 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
87. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
88. Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source Y. Jin et al. 10.3390/rs14143336
89. Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
90. Evaluation of WRF-Chem-RTFDDA dust forecasts over the MENA region using in-situ and remote-sensing observations D. Rostkier-Edelstein et al. 10.3389/fenvs.2022.981852
91. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
92. Statistics and Meteorology of Air Pollution Episodes over the South African Highveld Based on Satellite–Model Datasets M. Jury 10.1175/JAMC-D-16-0354.1
93. 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
94. Dust Impacts of Rapid Agricultural Expansion on the Great Plains A. Lambert et al. 10.1029/2020GL090347
95. Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. 10.5194/amt-12-1251-2019
96. Long-term Changes in Solar Radiation in Northern Eurasia during the Warm Season According to Measurements and Reconstruction Model E. Volpert & N. Chubarova 10.3103/S1068373921080021
97. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. 10.1029/2022JD038384
98. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
99. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
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101. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
102. Effects of COVID-19 pandemic lockdown: A satellite data-based appraisal of air quality in Guwahati, Assam J. Biswas & B. Pathak 10.1016/j.matpr.2022.06.218
103. 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
104. Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States C. Wang et al. 10.1016/j.scitotenv.2017.07.273
105. Source profiling of air pollution and its association with acute respiratory infections in the Himalayan-bound region of India M. Wani et al. 10.1007/s11356-021-15413-0
106. Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product H. Ștefănie et al. 10.3390/rs15123072
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108. Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
109. Characterization of temporal and spatial variability of aerosols from ground-based climatology: towards evaluation of satellite mission requirements C. Chen et al. 10.1016/j.jqsrt.2021.107627
110. Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
111. 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
112. Lidar Profiling of Aerosol Vertical Distribution in the Urbanized French Alpine Valley of Annecy and Impact of a Saharan Dust Transport Event P. Chazette & J. Totems 10.3390/rs15041070
113. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
114. Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison M. Tao et al. 10.1002/2017JD026976
115. CALIOP-Based Quantification of Central Asian Dust Transport Y. Han et al. 10.3390/rs14061416
116. Pre-seismic anomalies from optical satellite observations: a review Z. Jiao et al. 10.5194/nhess-18-1013-2018
117. Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement A. Ayanlade et al. 10.1177/1759313118820306
118. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations Q. Yang et al. 10.1016/j.envpol.2019.02.071
119. Status update: is smoke on your mind? Using social media to assess smoke exposure B. Ford et al. 10.5194/acp-17-7541-2017
120. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. 10.1016/j.rse.2024.114275
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122. Satellite observations of smoke–cloud–radiation interactions over the Amazon rainforest R. Herbert & P. Stier 10.5194/acp-23-4595-2023
123. Aerosol Distributions and Transport over Southern Morocco from Ground-Based and Satellite Observations (2004–2020) T. Millet et al. 10.3390/atmos13060923
124. Historical footprints and future projections of global dust burden from bias-corrected CMIP6 models J. Liu et al. 10.1038/s41612-023-00550-9
125. Evaluation and utilization of MODIS and CALIPSO aerosol retrievals over a complex terrain in Himalaya A. Kumar et al. 10.1016/j.rse.2017.12.019
126. Impact of atmospheric circulation types on southwest Asian dust and Indian summer monsoon rainfall D. Kaskaoutis et al. 10.1016/j.atmosres.2017.11.002
127. Impacts of Sun Glint Off Ice Clouds on DSCOVR EPIC Cloud Products T. Várnai et al. 10.1109/TGRS.2024.3400253
128. Implications of MODIS bow-tie distortion on aerosol optical depth retrievals, and techniques for mitigation A. Sayer et al. 10.5194/amt-8-5277-2015
129. 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
130. Cold-season atmospheric conditions associated with sudden changes in PM10 concentration over Seoul, Korea M. Cho et al. 10.1016/j.apr.2021.03.004
131. Ocean flux of salt, sulfate, and organic components to atmospheric aerosol L. Russell et al. 10.1016/j.earscirev.2023.104364
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133. Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean Z. Cao et al. 10.3390/toxics11100813
134. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al. 10.3390/rs8090765
135. SI-traceable solar irradiance measurements for aerosol optical depth retrieval N. Kouremeti et al. 10.1088/1681-7575/ac6cbb
136. 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
137. Estimation of particulate matter (PM2.5, PM10) concentration and its variation over urban sites in Bangladesh A. Gupta et al. 10.1007/s42452-020-03829-1
138. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
139. High-Resolution Satellite-Based PM2.5 Concentration Data Acquired During the COVID-19 Outbreak Throughout China: Model, Variations, and Reasons H. Guo et al. 10.1109/JSTARS.2021.3119383
140. Generation of typical meteorological years for 33 locations in Greece: adaptation to the needs of various applications H. Kambezidis et al. 10.1007/s00704-020-03264-7
141. A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method M. Tao et al. 10.1016/j.rse.2023.113763
142. Vertical Distribution and Transport of Aerosols during a Dust Event in Xinjiang, Northwest China M. Xu et al. 10.1007/s13351-023-2148-0
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146. Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China Y. Che et al. 10.5194/acp-16-9655-2016
147. 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
148. Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations V. Sheel et al. 10.1002/joc.5367
149. Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2) S. Tilmes et al. 10.5194/gmd-16-6087-2023
150. A critical view of long-term AVHRR aerosol data record in China: Retrieval frequency and heavy pollution M. Tao et al. 10.1016/j.atmosenv.2019.117246
151. Evaluating VIIRS EPS Aerosol Optical Depth in China: An intercomparison against ground-based measurements and MODIS C. Li et al. 10.1016/j.jqsrt.2018.12.002
152. 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
153. Evaluation of the Aqua-MODIS C6 and C6.1 Aerosol Optical Depth Products in the Yellow River Basin, China M. Zhang et al. 10.3390/atmos10080426
154. Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm T. Zhang et al. 10.1080/15481603.2022.2060596
155. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
156. Increase of surface solar irradiance across East China related to changes in aerosol properties during the past decade J. Li et al. 10.1088/1748-9326/aaa35a
157. Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. 10.5194/acp-20-12955-2020
158. Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm J. Liu et al. 10.1016/j.atmosenv.2019.04.002
159. Impact of atmospheric anthropogenic nitrogen on new production in the northern Indian Ocean: constrained based on satellite aerosol optical depth and particulate nitrogen levels V. Sarma et al. 10.1039/D2EM00234E
160. Temporal coherence in particulate matter in East Asian outflow regions: fingerprints of ENSO and Asian dust M. Kueh et al. 10.1038/s41612-023-00530-z
161. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution A. Hossein Mardi et al. 10.1016/j.scitotenv.2018.03.148
162. 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
163. Dual‐Isotope Constraints on Seasonally Resolved Source Fingerprinting of Black Carbon Aerosols in Sites of the Four Emission Hot Spot Regions of China W. Fang et al. 10.1029/2018JD028607
164. Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season W. Lassman et al. 10.1029/2022JD037062
165. Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models S. Park et al. 10.1016/j.scitotenv.2020.136516
166. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
167. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. 10.5194/acp-24-6275-2024
168. Investigation of CATS aerosol products and application toward global diurnal variation of aerosols L. Lee et al. 10.5194/acp-19-12687-2019
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546. Enhanced Atmospheric Pollutants Strengthened Winter Convective Mixing and Phytoplankton Blooms in the Northern Arabian Sea B. Sridevi & V. Sarma 10.1029/2021JG006527
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571. 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
572. Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China J. Zhu et al. 10.5194/acp-19-14637-2019
573. CALIPSO inferred most probable heights of global dust and smoke layers J. Huang et al. 10.1002/2014JD022898
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606. 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
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614. Role of Aerosols in Spring Blooms in the Central Yellow Sea During the COVID-19 Lockdown by China J. Baek et al. 10.3389/fmars.2022.911819
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634. Spatio-temporal distribution of aerosol optical depth and cloud properties over Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia B. Getachew et al. 10.1016/j.rsase.2020.100401
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661. Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine A. Saim & M. Aly 10.1016/j.apr.2024.102226
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663. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
664. Metal Concentrations and Source Apportionment of PM2.5 in Chiang Rai and Bangkok, Thailand during a Biomass Burning Season J. Kayee et al. 10.1021/acsearthspacechem.0c00140
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873. Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager M. Kim et al. 10.5194/amt-17-1913-2024
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885. Open cells exhibit weaker entrainment of free-tropospheric biomass burning aerosol into the south-east Atlantic boundary layer S. Abel et al. 10.5194/acp-20-4059-2020
886. Decadal-scale relationship between measurements of aerosols, land-use change, and fire over Southeast Asia J. Cohen et al. 10.5194/acp-17-721-2017
887. The simulation of mineral dust in the United Kingdom Earth System Model UKESM1 S. Woodward et al. 10.5194/acp-22-14503-2022
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889. MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products W. Zhang et al. 10.1007/s12524-020-01129-0
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899. Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction B. Kianian et al. 10.3390/rs13010126
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905. An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region M. Zhang et al. 10.3390/rs9111173
906. Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller et al. 10.5194/gmd-11-989-2018
907. Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. 10.1016/j.jqsrt.2018.07.003
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914. Characterization of released dust over open waters in the south of the Iran Plateau based on satellite and ground-based measurements F. Bayat & H. Khalesifard 10.1016/j.apr.2021.101208
915. Air Pollution Scenario over China during COVID-19 J. Nichol et al. 10.3390/rs12132100
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918. Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. 10.3390/rs13122319
919. Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India M. Pathakoti et al. 10.5194/acp-21-9047-2021
920. Impact of CALIPSO profile data assimilation on 3-D aerosol improvement in a size-resolved aerosol model H. Ye et al. 10.1016/j.atmosres.2021.105877
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922. An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared H. Hsiao et al. 10.1002/advs.202201227
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924. An assessment of the quality of aerosol retrievals over the Red Sea and evaluation of the climatological cloud-free dust direct radiative effect in the region H. Brindley et al. 10.1002/2015JD023282
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931. High-Resolution Aerosol Optical Depth Retrieval in Urban Areas Based on Sentinel-2 Y. Chen et al. 10.14358/PERS.22-00122R2
932. Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. 10.1002/2016JD025797
933. Satellite remote sensing of fine particulate air pollutants over Indian mega cities V. Sreekanth et al. 10.1016/j.asr.2017.08.008
934. Prediction of abnormal proliferation risk of Phaeocystis globosa based on correlation mining of PC concentration indicator and meteorological factors along Qinzhou Bay, Guangxi H. Chen et al. 10.1016/j.seares.2023.102365
935. 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
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937. Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. 10.1016/j.atmosenv.2022.119569
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940. Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia E. Kang et al. 10.1016/j.atmosenv.2023.119951
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942. Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing D. Fu et al. 10.1038/s41598-018-28535-2
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944. Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. 10.5194/amt-12-3269-2019
945. 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
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947. Seasonal Tropospheric Aerosol Classification Using AERONET Spectral Absorption Properties in African Locations S. Aladodo et al. 10.1007/s41810-022-00140-x
948. 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
949. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. 10.1002/2016JD025469
950. Impacts of 3D Aerosol, Cloud, and Water Vapor Variations on the Recent Brightening during the South Asian Monsoon Season Z. Pan et al. 10.3390/rs10040651
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952. An Operational Atmospheric Correction Framework for Multi-Source Medium-High-Resolution Remote Sensing Data of China H. Zhang et al. 10.3390/rs14215590
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955. Temporal and spatial variations in dust activity in Australia based on remote sensing and reanalysis datasets Y. Che et al. 10.5194/acp-24-4105-2024
956. Predicting Daily Urban Fine Particulate Matter Concentrations Using a Random Forest Model C. Brokamp et al. 10.1021/acs.est.7b05381
957. Daily Fine Resolution Estimates of the Influence of Wildfires on Fine Particulate Matter in California, 2011–2020 C. Jones-Ngo et al. 10.3390/atmos15060680
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959. The climate impact of aerosols on the lightning flash rate: is it detectable from long-term measurements? Q. Wang et al. 10.5194/acp-18-12797-2018
960. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison C. Chen et al. 10.1016/j.rse.2024.114374
961. Consistent signal of aerosol indirect and semi-direct effect on water clouds in the oceanic regions adjacent to the Indian subcontinent S. Rao & S. Dey 10.1016/j.atmosres.2019.104677
962. Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model T. Zhang et al. 10.3390/ijerph13100974
963. Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3 L. Sogacheva et al. 10.5194/amt-15-5289-2022
964. Remote sensing of aerosols due to biomass burning over Kanpur, Sao-Paulo, Ilorin and Canberra S. Tariq et al. 10.1007/s10874-022-09444-1
965. Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. 10.1029/2021MS002584
966. Assessment of PM2.5 concentrations over bright surfaces using MODIS satellite observations M. Sorek-Hamer et al. 10.1016/j.rse.2015.03.014
967. 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
968. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison J. Wei et al. 10.1016/j.atmosenv.2018.12.004
969. 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
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972. Geographical coverage analysis and usage suggestions of temporal averaged aerosol optical depth product from GOES-R satellite data X. Jiang et al. 10.1080/01431161.2024.2331978
973. 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
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976. Quantifying the impact of terrain–wind–governed close-effect on atmospheric polluted concentrations L. Wu et al. 10.1016/j.jclepro.2022.132995
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978. 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
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980. The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year X. Zhang et al. 10.3390/ijerph17249333
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983. Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning T. Liang et al. 10.3390/rs14051053
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987. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.8b06392
988. A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
989. Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods M. Kim et al. 10.5194/amt-17-4317-2024
990. Impact of Desert Dust on Air Quality: What is the Meaningfulness of Daily PM Standards in Regions Close to the Sources? The Example of Southern Tunisia C. Bouet et al. 10.3390/atmos10080452
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992. Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
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995. Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS) S. Garrigues et al. 10.5194/acp-23-10473-2023
996. Revisiting the Impact of Sea Salt on Climate Sensitivity F. Paulot et al. 10.1029/2019GL085601
997. Characterization of a Regional Dust Storm Using RAMAN Lidar Over the Western Indian Region K. Shukla et al. 10.1007/s12524-023-01778-x
998. Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1 G. Dai et al. 10.5194/amt-17-1879-2024
999. GOES-16 ABI solar reflective channel validation for earth science application J. McCorkel et al. 10.1016/j.rse.2019.111438
1000. Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. 10.3390/rs12020251
1001. Analysis of global three-dimensional aerosol structure with spectral radiance matching D. Liu et al. 10.5194/amt-12-6541-2019
1002. Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks H. Andersen et al. 10.5194/acp-17-9535-2017
1003. Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees J. Wei et al. 10.5194/acp-20-3273-2020
1004. Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP<sup>2</sup>Ex aircraft campaign: chemical composition, size distributions, and the impact of convection M. Hilario et al. 10.5194/acp-21-3777-2021
1005. Cross-Border Sand and Dust Storms between Mongolia and Northern China in Spring and Their Driving Weather Systems A. Borjigin et al. 10.3390/rs16122164
1006. Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran H. Panahifar et al. 10.1038/s41598-020-76947-w
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