45 citations as recorded by crossref.

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7. Solar radiometer sensing of multi-year aerosol features over a tropical urban station: direct-Sun and inversion products K. Vijayakumar et al. 10.5194/amt-13-5569-2020
8. 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
9. Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models M. Mirzaei et al. 10.3390/atmos9090335
10. A Multi Linear Regression Model to Derive Dust PM10 in the Sahel Using AERONET Aerosol Optical Depth and CALIOP Aerosol Layer Products J. Léon et al. 10.3390/rs12183099
11. Mass concentration, optical depth and carbon composition of particulate matter in the major southern West African cities of Cotonou (Benin) and Abidjan (Côte d'Ivoire) J. Djossou et al. 10.5194/acp-18-6275-2018
12. Long-term comparative study of columnar and surface mass concentration aerosol properties in a background environment Y. Bennouna et al. 10.1016/j.atmosenv.2016.05.061
13. 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
14. Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
15. Temporal and spatial trends in aerosols near the English Channel – An air quality success story? M. Yang et al. 10.1016/j.aeaoa.2020.100074
16. Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China J. Liu et al. 10.3390/rs11182120
17. Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks W. Zhang et al. 10.1007/s12524-021-01344-3
18. An AERONET-based aerosol classification using the Mahalanobis distance P. Hamill et al. 10.1016/j.atmosenv.2016.06.002
19. Empirical relationship between particulate matter and aerosol optical depth over Northern Tien-Shan, Central Asia B. Chen et al. 10.1007/s11869-012-0192-5
20. Determination of the concentration of aerosol particles in a vertical atmospheric column from satellite measurements of the spectral optical depth S. Lysenko & M. Kugeiko 10.1007/s10812-011-9526-6
21. Comparison of Four Ground-Level PM2.5 Estimation Models Using PARASOL Aerosol Optical Depth Data from China H. Guo et al. 10.3390/ijerph13020180
22. Annual cycle in co-located in situ, total-column, and height-resolved aerosol observations in the Po Valley (Italy): Implications for ground-level particulate matter mass concentration estimation from remote sensing F. Barnaba et al. 10.1029/2009JD013002
23. Aerosol variability over East Asia as seen by POLDER space-borne sensors X. Su et al. 10.1029/2010JD014286
24. A study on the aerosol optical properties over East Asia using a combination of CMAQ-simulated aerosol optical properties and remote-sensing data via a data assimilation technique R. Park et al. 10.5194/acp-11-12275-2011
25. Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach P. Gupta & S. Christopher 10.1029/2008JD011497
26. Estimation of local daily PM2.5 concentration during wildfire episodes: integrating MODIS AOD with multivariate linear mixed effect (LME) models M. Mirzaei et al. 10.1007/s11869-019-00780-y
27. Mapping of PM10 surface concentrations derived from satellite observations of aerosol optical thickness over South-Eastern France J. Péré et al. 10.1016/j.atmosres.2008.05.001
28. Estimating PM2.5 surface concentrations from AOD: A combination of SLSTR and MODIS J. Handschuh et al. 10.1016/j.rsase.2022.100716
29. Radiative response of biomass-burning aerosols over an urban atmosphere in northern peninsular Southeast Asia S. Pani et al. 10.1016/j.scitotenv.2018.03.204
30. Determination of tropospheric vertical columns of NO<sub>2</sub> and aerosol optical properties in a rural setting using MAX-DOAS J. Halla et al. 10.5194/acp-11-12475-2011
31. Impact of meteorological parameters on relation between aerosol optical indices and air pollution in a sub-urban area M. Khoshsima et al. 10.1016/j.jaerosci.2013.10.008
32. Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm B. Torres et al. 10.5194/amt-10-3743-2017
33. Estimating PM2.5 over southern Sweden using space-borne optical measurements P. Glantz et al. 10.1016/j.atmosenv.2009.05.017
34. Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system H. Li et al. 10.1016/j.atmosenv.2009.06.004
35. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al. 10.1016/j.atmosres.2017.11.022
36. Retrieval of aerosol mass load (PM<sub>10</sub>) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany G. Rohen et al. 10.5194/amt-4-523-2011
37. Estimation of surface-level PM2.5concentration based on MODIS aerosol optical depth over Jeju, Korea K. Kim et al. 10.7780/kjrs.2016.32.5.2
38. Aerosol optical properties derived from POLDER-3/PARASOL (2005–2013) over the western Mediterranean Sea – Part 1: Quality assessment with AERONET and in situ airborne observations P. Formenti et al. 10.5194/amt-11-6761-2018
39. Simulated polarization as a signature of aerosol type P. Hamill et al. 10.1016/j.atmosenv.2020.117348
40. Exploring the relation between aerosol optical depth and PM<sub>2.5</sub> at Cabauw, the Netherlands M. Schaap et al. 10.5194/acp-9-909-2009
41. Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China L. Li et al. 10.3390/rs70607914
42. Aerosol properties of mineral dust and its mixtures in a regional background of north-central Iberian Peninsula M. Burgos et al. 10.1016/j.scitotenv.2016.08.001
43. Predicting Ground Level PM2.5 Concentration Over Delhi Using Landsat 8 Satellite Data R. Mishra et al. 10.1080/2150704X.2020.1832279
44. Aerosol layer properties over Kyiv from AERONET/PHOTONS sunphotometer measurements during 2008–2009 V. Danylevsky et al. 10.1080/01431161.2010.517798
45. 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