946 citations as recorded by crossref.

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48. 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
49. 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
50. 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
51. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. 10.1109/JSTARS.2017.2734331
52. Estimating Ground-Level PM2.5by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach T. Li et al. 10.1002/2017GL075710
53. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
54. Statistics and Meteorology of Air Pollution Episodes over the South African Highveld Based on Satellite–Model Datasets M. Jury 10.1175/JAMC-D-16-0354.1
55. Dust Impacts of Rapid Agricultural Expansion on the Great Plains A. Lambert et al. 10.1029/2020GL090347
56. 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
57. Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds D. Rosenfeld et al. 10.1126/science.aav0566
58. Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
59. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. 10.5194/amt-14-309-2021
60. Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. 10.1016/j.atmosenv.2020.117902
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64. 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
65. 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
66. Evaluation of MODIS Deep Blue Aerosol Algorithm in Desert Region of East Asia: Ground Validation and Intercomparison M. Tao et al. 10.1002/2017JD026976
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68. Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement A. Ayanlade et al. 10.1177/1759313118820306
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70. 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
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77. 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
78. 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
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86. 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
87. 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
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91. 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
92. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution A. Hossein Mardi et al. 10.1016/j.scitotenv.2018.03.148
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98. Mitigating Satellite-Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF-Chem Model Over the Northern sub-Saharan African Region J. Wang et al. 10.1002/2017JD026840
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102. Coupling meteorological variables with Moderate Resolution Imaging Spectroradiometer atmospheric products for estimating global solar radiation J. Chen et al. 10.1016/j.enconman.2019.112383
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148. 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
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389. 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
390. Constraining Uncertainty in Aerosol Direct Forcing D. Watson‐Parris et al. 10.1029/2020GL087141
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407. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
408. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
409. 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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443. Aerosol radiative forcing efficiency in the UV-B region over central Argentina G. Palancar et al. 10.1016/j.atmosres.2016.02.016
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470. Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014 W. Chen et al. 10.3390/rs8020110
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476. Impact of Covid-19 lockdown on air quality in the Poland, Eastern Europe M. Filonchyk et al. 10.1016/j.envres.2020.110454
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483. Possible Relationship of Weakened Aleutian Low with Air Quality Improvement in Seoul, South Korea H. Oh et al. 10.1175/JAMC-D-17-0308.1
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648. The Sensitivity of SeaWiFS Ocean Color Retrievals to Aerosol Amount and Type R. Kahn et al. 10.1175/JTECH-D-15-0121.1
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652. Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model J. Li et al. 10.3390/ijerph13080772
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681. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm Y. Wang et al. 10.3390/rs9040397
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684. Relationship Between MODIS-based Aerosol Optical Depth and PM10 over Sumatra to Overcome the Limitations of Air Quality Monitoring Data Availability S. Syafrijon et al. 10.13005/ojc/3404058
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692. Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
693. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
694. A simplified aerosol retrieval algorithm for Himawari-8 Advanced Himawari Imager over Beijing Z. Zhang et al. 10.1016/j.atmosenv.2018.11.023
695. UV Reflectance of the Ocean from DSCOVR/EPIC: Comparisons with a Theoretical Model and Aura/OMI Observations A. Vasilkov et al. 10.1175/JTECH-D-18-0150.1
696. 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
697. Climatology of aerosol optical depth over Eastern Europe based on 19 years (2000–2018) MODIS TERRA data M. Filonchyk et al. 10.1002/joc.6412
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700. Aerosol meteorology of Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 2: Philippine receptor observations of fine-scale aerosol behavior J. Reid et al. 10.5194/acp-16-14057-2016
701. How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
702. Impact of mineral dust on shortwave and longwave radiation: evaluation of different vertically resolved parameterizations in 1-D radiative transfer computations M. Granados-Muñoz et al. 10.5194/acp-19-523-2019
703. Temporal‐Scale Analysis of Environmental Controls on Sea Spray Aerosol Production Over the South Pacific Gyre T. Dror et al. 10.1029/2018GL078707
704. Evaluating the potential for application of MODIS satellite data for urban air quality monitoring in Vietnam B. Hieu et al. 10.1088/1757-899X/869/2/022035
705. Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
706. Lightning and Associated Convection Features in the Presence of Absorbing Aerosols Over Northern Alabama T. Ren et al. 10.1029/2019JD031544
707. Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran M. Foroushani et al. 10.1007/s40333-020-0079-5
708. Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation R. Sullivan et al. 10.1002/2016JD025568
709. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
710. Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product E. Zhdanova et al. 10.5194/amt-13-877-2020
711. Tracking ambient PM2.5 build-up in Delhi national capital region during the dry season over 15 years using a high-resolution (1 km) satellite aerosol dataset S. Chowdhury et al. 10.1016/j.atmosenv.2019.02.029
712. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
713. Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
714. Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al. 10.5194/acp-19-13445-2019
715. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China A. Fan et al. 10.3390/rs9121269
716. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
717. A Physically Based PM<inline-formula> <tex-math notation="LaTeX">$_{\text{2.5}}$</tex-math> </inline-formula> Estimation Method Using AERONET Data in Beijing Area G. Chen et al. 10.1109/JSTARS.2018.2817243
718. 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
719. COVID-19 lockdown air quality change implications for solar energy generation over China K. Choi & H. Brindley 10.1088/1748-9326/abd42f
720. Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications P. deSouza et al. 10.5194/amt-13-5319-2020
721. Satellite Remote Sensing for Estimating PM2.5 and Its Components Y. Li et al. 10.1007/s40726-020-00170-4
722. 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
723. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
724. 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
725. Estimation of daily photosynthetically active radiation (PAR) in presence of low to high aerosol loads: application to OLCI-like satellite data T. Harmel & M. Chami 10.1364/OE.24.0A1390
726. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data K. Sun et al. 10.3390/rs9010089
727. Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing K. Cai et al. 10.3390/s18113950
728. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China? M. Tao et al. 10.3390/rs9080800
729. Investigating the relationship between aerosol and cloud optical properties inferred from the MODIS sensor in recent decades over East China J. Huang et al. 10.1016/j.atmosenv.2020.117812
730. Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China J. Wei & L. Sun 10.1109/JSTARS.2016.2595624
731. Daily Estimation of Ground-Level PM2.5 Concentrations over Beijing Using 3 km Resolution MODIS AOD Y. Xie et al. 10.1021/acs.est.5b01413
732. Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products J. Wei et al. 10.1016/j.atmosenv.2019.01.016
733. Microphysics and Radiation Effect of Dust on Saharan Air Layer: An HS3 Case Study Z. Tao et al. 10.1175/MWR-D-17-0279.1
734. Improving satellite-retrieved aerosol microphysical properties using GOCART data S. Li et al. 10.5194/amt-8-1157-2015
735. The Influence of Air-Sea Fluxes on Atmospheric Aerosols During the Summer Monsoon Over the Tropical Indian Ocean A. Zavarsky et al. 10.1002/2017GL076410
736. Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China H. Shang et al. 10.1002/2016JD025659
737. Aerosol Optical Depth from MODIS satellite data above the Pierre Auger Observatory N. Borodai et al. 10.1051/epjconf/201919702011
738. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index J. Sun et al. 10.5194/amt-11-5261-2018
739. Observed Covariations of Aerosol Optical Depth and Cloud Cover in Extratropical Cyclones C. Naud et al. 10.1002/2017JD027240
740. Orbital Observations of Dust Lofted by Daytime Convective Turbulence L. Fenton et al. 10.1007/s11214-016-0243-6
741. 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
742. 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
743. 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
744. Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
745. 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
746. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain J. Zhu et al. 10.3390/rs9050432
747. Spatial and temporal variability in dust storms in the Middle East, 2002–2018: three case studies in July 2009 N. Hamzeh et al. 10.1007/s12517-021-06859-0
748. 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
749. A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid M. Bilal et al. 10.3390/rs10030463
750. Saharan dust and biomass burning aerosols during ex-hurricane Ophelia: observations from the new UK lidar and sun-photometer network M. Osborne et al. 10.5194/acp-19-3557-2019
751. Aerosol-induced atmospheric heating rate decreases over South and East Asia as a result of changing content and composition S. Ramachandran et al. 10.1038/s41598-020-76936-z
752. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
753. 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
754. Satellite-Based Spatiotemporal Trends in PM 2.5 Concentrations: China, 2004–2013 Z. Ma et al. 10.1289/ehp.1409481
755. Aqua and Terra MODIS RSB Calibration Comparison Using BRDF Modeled Reflectance T. Chang et al. 10.1109/TGRS.2016.2641258
756. Investigating the frequency and interannual variability in global above-cloud aerosol characteristics with CALIOP and OMI R. Alfaro-Contreras et al. 10.5194/acp-16-47-2016
757. The climatology of dust events over the European continent using data of the BSC-DREAM8b model F. Mandija et al. 10.1016/j.atmosres.2018.03.006
758. MISR Radiance Anomalies Induced by Stratospheric Volcanic Aerosols D. Wu et al. 10.3390/rs10121875
759. Satellite-Derived Correlation of SO2, NO2, and Aerosol Optical Depth with Meteorological Conditions over East Asia from 2005 to 2015 C. Lin et al. 10.3390/rs11151738
760. PM&lt;sub&gt;2.5&lt;/sub&gt; ∕ PM&lt;sub&gt;10&lt;/sub&gt; ratio prediction based on a long short-term memory neural network in Wuhan, China X. Wu et al. 10.5194/gmd-13-1499-2020
761. Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation Y. Wang et al. 10.1016/j.isprsjprs.2019.08.017
762. Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications K. Choi et al. 10.1016/j.renene.2021.03.127
763. Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods Y. Choi et al. 10.1029/2019MS001890
764. On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties V. Arya et al. 10.1007/s12040-020-01526-6
765. Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia J. Nam et al. 10.1007/s11869-017-0517-5
766. 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
767. Dust emission and transport in Northwest China: WRF-Chem simulation and comparisons with multi-sensor observations J. Zhao et al. 10.1016/j.atmosres.2020.104978
768. Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
769. Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. 10.3390/rs10020197
770. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors A. van Donkelaar et al. 10.1021/acs.est.5b05833
771. Results From the Deep Convective Clouds-Based Response Versus Scan-Angle Characterization for the MODIS Reflective Solar Bands A. Angal et al. 10.1109/TGRS.2017.2759660
772. Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging Y. Wang et al. 10.1016/j.atmosenv.2020.117548
773. Air pollution in the Gobi Desert region: Analysis of dust‐storm events M. Filonchyk et al. 10.1002/qj.3961
774. Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model P. Kim et al. 10.5194/acp-15-10411-2015
775. 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
776. Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region M. Ahmad et al. 10.1016/j.scitotenv.2019.134356
777. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China W. Xue et al. 10.1016/j.scitotenv.2019.134577
778. Reconstruction of historical aerosol optical depth time series over Romania during summertime A. Dumitrescu et al. 10.1002/joc.5118
779. Estimating ground-level PM2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model Y. Guo et al. 10.1016/j.rse.2017.06.001
780. Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum J. Zhang et al. 10.5194/gmd-14-27-2021
781. 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
782. Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. 10.5194/amt-11-925-2018
783. 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
784. Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties H. Wang et al. 10.1029/2019EA000903
785. 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
786. Lower tropospheric ozone over the North China Plain: variability and trends revealed by IASI satellite observations for 2008–2016 G. Dufour et al. 10.5194/acp-18-16439-2018
787. Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar A. de Oliveira et al. 10.3390/atmos10100594
788. Evaluation of the MODIS C6 Aerosol Optical Depth Products over Chongqing, China G. Shi et al. 10.3390/atmos8110227
789. Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data A. Beloconi et al. 10.1016/j.rse.2015.10.017
790. Impact of California Fires on Local and Regional Air Quality: The Role of a Low‐Cost Sensor Network and Satellite Observations P. Gupta et al. 10.1029/2018GH000136
791. Observation-Based Study on Aerosol Optical Depth and Particle Size in Partly Cloudy Regions T. Várnai et al. 10.1002/2017JD027028
792. Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8 Y. Xie et al. 10.1109/TGRS.2019.2944949
793. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. 10.1007/s00703-020-00760-3
794. Impacts of climate and synoptic fluctuations on dust storm activity over the Middle East S. Namdari et al. 10.1016/j.atmosenv.2017.11.016
795. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
796. Solar UV radiation measurements in Marambio, Antarctica, during years 2017–2019 M. Aun et al. 10.5194/acp-20-6037-2020
797. Assessment and Improvement of MISR Angstrom Exponent and Single-Scattering Albedo Products Using AERONET Data in China Y. Si et al. 10.3390/rs9070693
798. PM2.5 mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models H. Chu & M. Bilal 10.1007/s11356-018-3763-7
799. High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways Q. Jin et al. 10.1029/2018JD028588
800. Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016 B. Pan et al. 10.1016/j.atmosenv.2020.118082
801. Obtaining best parameterization scheme of RegCM 4.4 for aerosols and chemistry simulations over the CORDEX South Asia P. Ajay et al. 10.1007/s00382-018-4587-3
802. An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data Q. Xiao et al. 10.1021/acs.est.8b02917
803. The Role of the Intertropical Discontinuity Region and the Heat Low in Dust Emission and Transport Over the Thar Desert, India: A Premonsoon Case Study U. Dumka et al. 10.1029/2019JD030836
804. 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
805. Surface and Atmospheric Driven Variability of the Single‐Layer Urban Canopy Model Under Clear‐Sky Conditions Over London A. Tsiringakis et al. 10.1029/2019JD032167
806. The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean S. Gassó & O. Torres 10.5194/amt-9-3031-2016
807. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM2.5 concentrations in Taiwan from 2005 to 2015 C. Jung et al. 10.1016/j.envpol.2017.11.016
808. 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
809. A study of 15-year aerosol optical thickness and direct shortwave aerosol radiative effect trends using MODIS, MISR, CALIOP and CERES R. Alfaro-Contreras et al. 10.5194/acp-17-13849-2017
810. Examining Intrinsic Aerosol-Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. 10.1029/2017JD028232
811. 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
812. Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015 Z. Zhang et al. 10.1007/s41748-020-00181-7
813. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. 10.5194/acp-19-2965-2019
814. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
815. Large contrast in the vertical distribution of aerosol optical properties and radiative effects across the Indo-Gangetic Plain during the SWAAMI–RAWEX campaign A. Vaishya et al. 10.5194/acp-18-17669-2018
816. 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
817. In situ identification of aerosol types in Athens, Greece, based on long-term optical and on online chemical characterization D. Kaskaoutis et al. 10.1016/j.atmosenv.2020.118070
818. New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals X. Yan et al. 10.1016/j.envpol.2021.116707
819. MISR empirical stray light corrections in high-contrast scenes J. Limbacher & R. Kahn 10.5194/amt-8-2927-2015
820. Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter A. van Donkelaar et al. 10.1289/ehp.1408646
821. Terra and Aqua MODIS TEB intercomparison using Himawari-8/AHI as reference T. Chang et al. 10.1117/1.JRS.13.017501
822. Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions J. He et al. 10.1002/2014MS000360
823. 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
824. Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations D. Ahn et al. 10.1186/s40645-019-0277-y
825. Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. 10.3390/rs10010137
826. Using MODIS cloud regimes to sort diagnostic signals of aerosol-cloud-precipitation interactions L. Oreopoulos et al. 10.1002/2016JD026120
827. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. 10.1002/2015JD024729
828. 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
829. The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation S. Callewaert et al. 10.5194/amt-12-3673-2019
830. Satellites See the World’s Atmosphere S. Ackerman et al. 10.1175/AMSMONOGRAPHS-D-18-0009.1
831. 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
832. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation L. She et al. 10.3390/rs10040490
833. Changes in the shape of cloud ice water content vertical structure due to aerosol variations S. Massie et al. 10.5194/acp-16-6091-2016
834. Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin S. Karami et al. 10.1016/j.aeolia.2021.100679
835. A comparative time series analysis and modeling of aerosols in the contiguous United States and China X. Li et al. 10.1016/j.scitotenv.2019.07.072
836. Multiconstituent Data Assimilation With WRF‐Chem/DART: Potential for Adjusting Anthropogenic Emissions and Improving Air Quality Forecasts Over Eastern China C. Ma et al. 10.1029/2019JD030421
837. Transport of aerosols over the French Riviera – link between ground-based lidar and spaceborne observations P. Chazette et al. 10.5194/acp-19-3885-2019
838. Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends P. Colarco et al. 10.5194/amt-7-2313-2014
839. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
840. The impact of three recent coal-fired power plant closings on Pittsburgh air quality: A natural experiment M. Russell et al. 10.1080/10962247.2016.1170738
841. April 2008 Saharan dust event: Its contribution to PM10 concentrations over the Anatolian Peninsula and relation with synoptic conditions B. Kabatas et al. 10.1016/j.scitotenv.2018.03.150
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