Mixing-state of carbonaceous aerosol in the Arctic (MIST-CA2)

SIOS Access Project Completed

By Stefania Gilardoni

Aerosol particles affect how clouds interact with solar radiation and impact climate. The ability of aerosol particles to define cloud properties depends on their mixing state, i.e. how different chemical species mix up to compose a single particle. Within MIST-CA2 we collected aerosol particles throughout the year at the Zeppelin Observatory to investigate the chemical composition of single particles and to understand the mixing state of hydrophilic (i.e. soluble in water) and hydrophobic (i.e. poorly soluble in water) aerosol components. The Zeppelin observatory is often within clouds and it is the ideal place to collect particles that participated to cloud formation.

Figure 1. View of Kongsfjord and Ny-Ålesund village from the Zeppelin Observatory during a cloudy day.

The device for aerosol collection was installed in March 2021 and sampling covered the period in June 2021 – July 2022. Figure 2 shows the sampling device together with some examples of collected samples.

Figure 2. Collection device used at Zeppelin Observatory together with a few examples of collected substrates.The blue windows are the collection substrate with a size of 5 x 5 mm. The analysis is performed on particles collected on the 0.5 x 0.5 mm window at the centre of the blue frame.

To characterize aerosol mixing state we measure how X-Ray radiation is absorbed by the aerosol particles by STXM-NEXAFS. Since different chemical species absorb X-Ray in different ways, we can draw a map for each particle showing the distribution of the different chemical components. Figure 3 shows the maps of each single particle analysed in two samples reporting in green organic molecules, in red soot, and in light-blue inorganic molecules.

Figure 3. Composition maps of two samples collected in winter 2021. The white line in the bottom-right corner corresponds to 1 μm.

We will continue analysing the collected samples to increase the statistical significance of the observations.