56 citations as recorded by crossref.

1. Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China N. Liu et al. https://doi.org/10.5194/acp-19-8243-2019
2. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al. https://doi.org/10.5194/gmd-8-501-2015
3. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. https://doi.org/10.5194/acp-16-11083-2016
4. Sway of aerosol on Atmospheric Boundary Layer influencing air pollution of Delhi A. Nair et al. https://doi.org/10.1016/j.uclim.2023.101478
5. Development of an improved aerosol product over the Indian subcontinent: Blending model, satellite, and ground‐based estimates R. Singh et al. https://doi.org/10.1002/2016JD025335
6. Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. https://doi.org/10.5194/gmd-14-1721-2021
7. Exploring Possible Influence of Dust Episodes on Surface Marine Chlorophyll Concentrations D. Kotta & D. Kitsiou https://doi.org/10.3390/jmse7020050
8. Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean A. Georgoulias et al. https://doi.org/10.5194/acp-16-13853-2016
9. A new zenith-looking narrow-band radiometer-based system (ZEN) for dust aerosol optical depth monitoring A. Almansa et al. https://doi.org/10.5194/amt-10-565-2017
10. Can the aerosol pollution extreme events be revealed by global reanalysis products? J. Li et al. https://doi.org/10.1016/j.scitotenv.2024.171424
11. Evaluation of night-time aerosols measurements and lunar irradiance models in the frame of the first multi-instrument nocturnal intercomparison campaign A. Barreto et al. https://doi.org/10.1016/j.atmosenv.2019.01.006
12. Validation of Australian atmospheric aerosols from reanalysis data and CMIP6 simulations A. Isaza et al. https://doi.org/10.1016/j.atmosres.2021.105856
13. The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015 J. Flemming et al. https://doi.org/10.5194/acp-17-1945-2017
14. Improving the Non-Hydrostatic Numerical Dust Model by Integrating Soil Moisture and Greenness Vegetation Fraction Data with Different Spatiotemporal Resolutions M. Yu et al. https://doi.org/10.1371/journal.pone.0165616
15. Modelling of Aerosol Vertical Distribution during a Spring Season at Gwangju, Korea S. Shin & K. Lee https://doi.org/10.5572/ajae.2016.10.1.013
16. Temporal Variability and Characterization of Aerosols across the Pakistan Region during the Winter Fog Periods M. Khokhar et al. https://doi.org/10.3390/atmos7050067
17. Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations A. Ukhov et al. https://doi.org/10.5194/acp-20-9281-2020
18. Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India V. Sharma et al. https://doi.org/10.2478/jlecol-2022-0019
19. Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014–2017 Period L. Cheng et al. https://doi.org/10.3390/ijerph16193522
20. Inter-comparison of multi-satellites and Aeronet AOD over Indian Region R. Mangla et al. https://doi.org/10.1016/j.atmosres.2020.104950
21. Evaluation of MACC total aerosol optical depth and its correction model based on the random forest regression Y. Zhen & G. Shi https://doi.org/10.1007/s00704-023-04455-8
22. Study of the cosmogenic factors influence on temporal variation of 7Be air concentration during the 23rd solar cycle in Málaga (South Spain) C. Dueñas et al. https://doi.org/10.1007/s10967-014-3737-2
23. Machine learning for observation bias correction with application to dust storm data assimilation J. Jin et al. https://doi.org/10.5194/acp-19-10009-2019
24. Spatial and Temporal Variations of Aerosol Optical Depth Distribution Over West African Sub - Region Using VIIRS Satellite Data B. Sa’adu & U. Gana https://doi.org/10.56919/2543.010
25. Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery M. Tavares et al. https://doi.org/10.1016/j.isprsjprs.2021.01.021
26. The MACC-II 2007–2008 reanalysis: atmospheric dust evaluation and characterization over northern Africa and the Middle East E. Cuevas et al. https://doi.org/10.5194/acp-15-3991-2015
27. Global and regional evaluation of a global model simulated AODs with AERONET and MODIS observations V. Sheel et al. https://doi.org/10.1002/joc.5367
28. Vertical variation of optical properties of mixed Asian dust/pollution plumes according to pathway of air mass transport over East Asia S. Shin et al. https://doi.org/10.5194/acp-15-6707-2015
29. Dust Emission Inversion Using Himawari‐8 AODs Over East Asia: An Extreme Dust Event in May 2017 J. Jin et al. https://doi.org/10.1029/2018MS001491
30. Automatic boat detection based on diffusion and radiation characterization of boat lights during night for VIIRS DNB imaging data C. Xue et al. https://doi.org/10.1364/OE.455555
31. Validation of satellite and model aerosol optical depth and precipitable water vapour observations with AERONET data over Pune, India K. Vijayakumar et al. https://doi.org/10.1080/01431161.2018.1476789
32. Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data M. Rezaei et al. https://doi.org/10.1016/j.apr.2018.10.002
33. Improved retrieval of direct and diffuse downwelling surface shortwave flux in cloudless atmosphere using dynamic estimates of aerosol content and type: application to the LSA-SAF project X. Ceamanos et al. https://doi.org/10.5194/acp-14-8209-2014
34. Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran M. Foroushani et al. https://doi.org/10.1007/s40333-020-0079-5
35. Optimal Interpolation of Aeronet Radiometric Network Observations for the Evaluation of the Aerosol Optical Thickness Distribution in the Eastern European Region N. Miatselskaya et al. https://doi.org/10.1007/s10812-022-01357-x
36. Diurnal and nocturnal aerosol properties by AERONET sun-sky-lunar photometer measurements along four years M. Perrone et al. https://doi.org/10.1016/j.atmosres.2021.105889
37. The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. https://doi.org/10.5194/gmd-11-2333-2018
38. Spatial Variation and Relation of Aerosol Optical Depth with LULC and Spectral Indices V. Sharma et al. https://doi.org/10.3390/atmos13121992
39. Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China J. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166603
40. Spatio-temporal assessment of aerosol and cloud properties using MODIS satellite data and a HYSPLIT model: Implications for climate and agricultural systems M. Haseeb et al. https://doi.org/10.1016/j.aeaoa.2024.100242
41. Solar “brightening” impact on summer surface ozone between 1990 and 2010 in Europe – a model sensitivity study of the influence of the aerosol–radiation interactions E. Oikonomakis et al. https://doi.org/10.5194/acp-18-9741-2018
42. Performance of MODIS C6.1 Dark Target and Deep Blue aerosol products in Delhi National Capital Region, India: Application for aerosol studies V. Sharma et al. https://doi.org/10.1016/j.apr.2021.01.023
43. Modeling the feedback between aerosol and boundary layer processes: a case study in Beijing, China Y. Miao et al. https://doi.org/10.1007/s11356-015-5562-8
44. Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands T. Harmel et al. https://doi.org/10.1016/j.rse.2017.10.022
45. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. https://doi.org/10.1029/2019JD032097
46. The Influence of Fine-Mode Aerosols on MODIS–AERONET Aerosol Optical Depth Disparities in the Sahel West Africa O. Nwofor et al. https://doi.org/10.1007/s41810-023-00177-6
47. Transport of a severe dust storm from Middle East to Indian region and its impact on surrounding environment S. Budakoti et al. https://doi.org/10.1007/s13762-022-04520-1
48. Fine-Mode Aerosol Loading Over a Sub-Sahel Location and Its Relation with the West African Monsoon O. Nwofor et al. https://doi.org/10.1007/s41810-018-0024-6
49. The pulsating nature of large-scale Saharan dust transport as a result of interplays between mid-latitude Rossby waves and the North African Dipole Intensity E. Cuevas et al. https://doi.org/10.1016/j.atmosenv.2017.08.059
50. 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. https://doi.org/10.3390/rs15143621
51. Worldwide inter-comparison of clear-sky solar radiation models: Consensus-based review of direct and global irradiance components simulated at the earth surface J. Ruiz-Arias & C. Gueymard https://doi.org/10.1016/j.solener.2018.02.008
52. Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. https://doi.org/10.5194/gmd-8-3523-2015
53. Credibility and statistical characteristics of CAMSRA and MERRA-2 AOD reanalysis products over the Sichuan Basin during 2003–2018 H. Liu et al. https://doi.org/10.1016/j.atmosenv.2020.117980
54. OPTIMAL INTERPOLATION OF AERONET RADIOMETRIC NETWORK OBSERVATIONS FOR THE EVALUATION OF THE AEROSOL OPTICAL DEPTH DISTRIBUTION IN THE EASTERN EUROPEAN REGION N. Miatselskaya et al. https://doi.org/10.47612/0514-7506-2022-89-2-246-253
55. Solar irradiance forecast using aerosols measurements: A data driven approach A. Alfadda et al. https://doi.org/10.1016/j.solener.2018.05.089
56. A climate-adapted framework for multi-temporal resource assessment of global horizontal irradiance under changing atmospheric conditions M. Ahmad & M. Zeeshan https://doi.org/10.1016/j.solener.2026.114516