Abstract. The prediction of cloud ice formation in climate models
remains a challenge, partly due to the complexity of ice-related processes.
Mineral dust is a prominent aerosol in the troposphere and is an important
contributor to ice nucleation in mixed-phase clouds, as dust can initiate
ice heterogeneously at relatively low supercooling conditions. We
characterized the ice nucleation properties of size-segregated mineral dust
sampled during dust events in the eastern Mediterranean. The sampling site
allowed us to compare the properties of airborne dust from several
sources with diverse mineralogy that passed over different atmospheric
paths. We focused on particles with six size classes determined by the
Micro-Orifice Uniform Deposit Impactor (MOUDI) cutoff sizes: 5.6, 3.2, 1.8,
1.0, 0.6 and 0.3 µm. Ice nucleation experiments were conducted in the
Weizmann Supercooled Droplets Observation on a Microarray (WISDOM) setup,
whereby the particles are immersed in nanoliter droplets using a microfluidics
technique. We observed that the activity of airborne particles depended on
their size class; supermicron and submicron particles had different
activities, possibly due to different composition. The concentrations of ice-nucleating particles and the density of active sites (ns) increased
with the particle size and particle concentration. The supermicron
particles in different dust events showed similar activity, which may
indicate that freezing was dominated by common mineralogical components.
Combining recent data of airborne mineral dust, we show that current
predictions, which are based on surface-sampled natural dust or standard mineral dust,
overestimate the activity of airborne dust, especially for the submicron
class. Therefore, we suggest including information on particle size in
order to increase the accuracy of ice formation modeling and thus
weather and climate predictions.