9 citations as recorded by crossref.

1. Impact of Assimilating GEMS Aerosol Optical Depth on Asian Dust Storm Prediction: Comparative Assessment with MODIS Observation E. Lee et al. https://doi.org/10.1007/s13143-025-00407-6
2. Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. https://doi.org/10.5194/acp-24-9475-2024
3. Small fires, big gap: High-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa B. Ouattara et al. https://doi.org/10.1016/j.geomat.2025.100069
4. Global and regional performance of the aurora foundation model for surface PM2.5 prediction D. Li et al. https://doi.org/10.1088/1748-9326/ae90c2
5. An efficient transformer-based aerosol retrieval algorithm for the polarization crossfire (PCF) satellite senor suite: development and validation> H. Gu et al. https://doi.org/10.1016/j.jqsrt.2025.109793
6. Global gap-free aerosol optical depth reconstruction based on the fusion of satellite and reanalysis data Z. Wang et al. https://doi.org/10.1016/j.asr.2026.06.079
7. Data assimilation of aerosol optical depth (AOD) in CMA-MESO/CUACE model to improve weather predictions in China J. Hong et al. https://doi.org/10.1016/j.atmosres.2026.108780
8. Advanced characterization of the diurnal variations of aerosol optical and microphysical properties by SYREMIS/GRASP synergistic retrieval algorithm using observations from multiple spaceborne sensors S. Zhai et al. https://doi.org/10.1016/j.rse.2026.115739
9. Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al. https://doi.org/10.1016/j.rse.2026.115399