14 citations as recorded by crossref.

1. Unexpected vertical structure of the Saharan Air Layer and giant dust particles during AER-D F. Marenco et al. https://doi.org/10.5194/acp-18-17655-2018
2. Multi-thermals and high concentrations of secondary ice: a modelling study of convective clouds during the Ice in Clouds Experiment – Dust (ICE-D) campaign Z. Cui et al. https://doi.org/10.5194/acp-22-1649-2022
3. Overlap correction function based on multi-angle measurements for an airborne direct-detection lidar for atmospheric sensing M. Adam & F. Marenco https://doi.org/10.1364/OE.507433
4. Nocturnal, seasonal and intra-annual variability of tropospheric aerosols observed using ground-based and space-borne lidars over a tropical location of India P. Prasad et al. https://doi.org/10.1016/j.atmosenv.2019.06.008
5. Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. https://doi.org/10.5194/acp-20-12955-2020
6. Biomass Burning Aerosols in the Amazon Basin, Characterised by Lidar, Optical Particle Counters, and Modelling F. Marenco et al. https://doi.org/10.1051/epjconf/201611923006
7. Airborne verification of CALIPSO products over the Amazon: a case study of daytime observations in a complex atmospheric scene F. Marenco et al. https://doi.org/10.5194/acp-14-11871-2014
8. Vertical and horizontal distribution of submicron aerosol chemical composition and physical characteristics across northern India during pre-monsoon and monsoon seasons J. Brooks et al. https://doi.org/10.5194/acp-19-5615-2019
9. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
10. Lagrangian dust model simulations for a case of moist convective dust emission and transport in the western Sahara region during Fennec/LADUNEX H. Sodemann et al. https://doi.org/10.1002/2015JD023283
11. An iterative calibrating method for airborne atmospheric detection lidar based on the klett forward integral equation H. Liu & Z. Wang https://doi.org/10.1016/j.optcom.2019.07.068
12. Studies on mineral dust using airborne lidar, ground-based remote sensing, and in situ instrumentation F. Marenco et al. https://doi.org/10.1051/epjconf/201817610001
13. Advances in understanding mineral dust and boundary layer processes over the Sahara from Fennec aircraft observations C. Ryder et al. https://doi.org/10.5194/acp-15-8479-2015
14. On the vertical distribution of smoke in the Amazonian atmosphere during the dry season F. Marenco et al. https://doi.org/10.5194/acp-16-2155-2016