Abstract

Hygroscopicity strongly influences aerosol particle properties and multiphase chemistry, which also plays an essential role in several atmospheric processes. Although CCN (cloud condensation nuclei) properties are commonly measured, sub-saturation hygroscopicity measurements remain rare. Within the ACROSS campaign, which took place in the Paris region, France, during the summer of 2022, the particle’s hygroscopic growth at 90 % relative humidity (RH) and chemical composition were concurrently measured using a Hygroscopicity Tandem Differential Mobility Analyser (HTDMA, scanning at 100, 150, 200, and 250 nm) and Aerodyne High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) respectively, at the ACTRIS (the European Aerosol, Clouds and Trace gases Research Infrastructure) SIRTA near facility, a peri-urban site representative of the Greater Paris background conditions. Growth factor probability density distributions (GF-PDF) show two distinct modes: hydrophobic and hygroscopic, indicating that the particles are internally and externally mixed. The hygroscopic mode is always more prominent in the GF-PDF, indicating a change in the particles' mixing state. The dominance of the hygroscopic mode becomes more pronounced with increasing particle size. The mean hygroscopicity parameter values, κ of 100, 150, 200, and 250 nm particles derived from hygroscopicity measurements are respectively 0.23, 0.29, 0.36, and 0.38 during the sampling period. The size dependence is reflected in the averaged values of κ and the GF distributions. A diurnal pattern was observed with an average daytime κ higher than during night-time, which could be linked to aging processes and secondary aerosol formation during the day. The Zdanovskii-Stokes-Robinson (ZSR) mixing rule was applied on the particle chemical to make accurate quantitative predictions of the mean GF of mixed atmospheric aerosol particles.Keywords: Hygroscopicity, Growth factor, hygroscopicity parameter κ.

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