13 citations as recorded by crossref.

1. The evolution of biomass-burning aerosol size distributions due to coagulation: dependence on fire and meteorological details and parameterization K. Sakamoto et al. https://doi.org/10.5194/acp-16-7709-2016
2. Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. https://doi.org/10.5194/gmd-14-4411-2021
3. Processes limiting the emergence of detectable aerosol indirect effects on tropical warm clouds in global aerosol-climate model and satellite data K. Peters et al. https://doi.org/10.3402/tellusb.v66.24054
4. Characteristics of particle emissions and their atmospheric dilution during co-combustion of coal and wood pellets in a large combined heat and power plant F. Mylläri et al. https://doi.org/10.1080/10962247.2018.1521349
5. Atmospheric new particle formation and growth: review of field observations V. Kerminen et al. https://doi.org/10.1088/1748-9326/aadf3c
6. The contribution of plume-scale nucleation to global and regional aerosol and CCN concentrations: evaluation and sensitivity to emissions changes R. Stevens & J. Pierce https://doi.org/10.5194/acp-14-13661-2014
7. Ultrafine particles over Eastern Australia: an airborne survey W. Junkermann & J. Hacker https://doi.org/10.3402/tellusb.v67.25308
8. Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al. https://doi.org/10.5194/gmd-9-607-2016
9. New particle formation in the fresh flue-gas plume from a coal-fired power plant: effect of flue-gas cleaning F. Mylläri et al. https://doi.org/10.5194/acp-16-7485-2016
10. New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate S. Lee et al. https://doi.org/10.1029/2018JD029356
11. Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. https://doi.org/10.5194/acp-18-10039-2018
12. Impact of sub-grid particle formation in sulfur-rich plumes on particle mass and number concentrations over China Y. Wei et al. https://doi.org/10.1016/j.atmosenv.2021.118711
13. The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. https://doi.org/10.5194/acp-23-14779-2023