Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration

作者: Manasi Mahish , Anne Jefferson , Don Collins

DOI: 10.3390/ATMOS9020054

关键词: State (functional analysis)AerosolSupersaturationSpectral lineAerosol compositionAtmospheric sciencesCloud condensation nucleiEnvironmental scienceMixing (physics)

摘要: A 4-year record of aerosol size and hygroscopic growth factor distributions measured at the Department Energy’s Southern Great Plains (SGP) site in Oklahoma, U.S. were used to estimate supersaturation (S)-dependent cloud condensation nuclei concentrations (NCCN). Baseline or reference NCCN(S) spectra estimated using κ-Kohler Theory without any averaging by creating matrices size- hygroscopicity-dependent number concentration (N) then integrating for S > critical (Sc) calculated same hygroscopicity pairs. Those estimates first compared with directly NCCN site. Subsequently, was dataset but an array simplified treatments which assumed be either internal external mixture based on averages derived from distributions. The CCN those baseline approach evaluate error introduced commonly approximations.

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