The Arctic is warming faster than any other environment on the planet (Manabe & Wetherald, 1975;Serreze & Barry, 2011). The accelerated warming-Arctic amplification-leads to other changes, such as sea ice decline, glacier melt, permafrost thaw, and changes in the composition of the biological communities in the Arctic Ocean (e.g., AMAP, 2015). Aerosol particles can affect Arctic climate directly, through interactions with radiation (e.g., AMAP, 2015), and indirectly, through interactions with clouds (Albrecht, 1989;Mauritsen et al., 2011;Twomey, 1977). Our limited understanding of the feedback mechanisms and local processes related to clouds and aerosol-cloud interactions in the Arctic contributes significantly to the uncertainty in projections of future Arctic climate (IPCC, 2013). The large differences between polar night and day in terms of, for example, radiation, sea ice, cloud type and phase (liquid, mixed-phase, or ice), and atmospheric circulation result in large seasonal variations not only in aerosol particle abundance and composition but also in their impact on clouds (e.g., Willis et al., 2018). These conditions make the Arctic environment particularly challenging to represent in large-scale climate models (e.g.,