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Rinaldi, M., Nicosia, A., Santachiara, G., Piazza, M., Paglione, M., Gilardoni, S., Sandrini, S., Cristofanelli, P., Marinoni, A., Bonasoni, P., Facchini, M.C. and Belosi, F. (2019) Ground Level Ice Nucleating Particles Measurements at Capo Granitola, a Mediterranean Coastal Site. Atmospheric Research, 219, 57-64.
https://doi.org/10.1016/j.atmosres.2018.12.022

has been cited by the following article:

• TITLE: Experimental Study on the Dependency of Ice Nucleation Active Surface Site Density on ATD Aerosol Size

  AUTHORS: Franco Belosi, Gianni Santachiara

  KEYWORDS: Ice Activated Fraction, Ice Nucleation Active Surface Site Density, Condensation Freezing

  JOURNAL NAME: Atmospheric and Climate Sciences, Vol.11 No.3, May 31, 2021

  ABSTRACT: In light of the percentage of Earth’s cloud coverage, heterogeneous ice nucleation in clouds is the most important global-scale pathway. More recent parameterizations of ice nucleation processes in the atmosphere are based on the concept of ice nucleation active surface site density (ns). It is usually assumed that ns is independent of time and aerosol size distribution, i.e. that the surface properties of aerosols of the same species do not vary with size. However, the independence of ns on aerosol size for every species has been questioned. This study presents the results of ice nucleation processes of ATD laboratory-generated aerosol (particle diameters of 0 - 3 μm). Ice nucleation in the condensation mode was performed in a Dynamic Filter Processing Cham- ber at temperatures of -18°C and -22°C, with a saturation ratio with respect to water of 1.02. Results show that ns increased by lowering the nucleation temperature, and was also dependent on the particle size. The ns of particles collected on the filters, after a 0.5 μm D50 cut-off cyclone, resulted statistically higher with respect to the values obtained from the particles collected on total filters. The results obtained suggest the need for further investigation of ns dependence of same composition aerosol particles with a view to support weather and climate predictions.