Aerosols have a major impact on our climate (Stocker et al., 2014). They scatter and absorb solar radiation and are part of cloud formation processes as cloud condensation nuclei (CCN) or ice nucleating particles (INP). The combination of aerosol-radiation and aerosol-cloud interactions contributes the largest fraction of uncertainty to the overall radiative forcing budget (Stocker et al., 2014). The present day (PD) aerosol forcing is calculated against a preindustrial (PI) baseline, which is poorly constrained because direct measurements of PI aerosols are impossible. Additionally, the radiative forcing due to aerosol-cloud interactions (RF aci ) is non-linearly dependent on the total aerosol number concentration and is much more sensitive to changes in low concentration regimes, which are more representative of the the PI time (Carslaw et al., 2013(Carslaw et al., , 2017. Therefore, the highly uncertain concentration and distribution of PI aerosols has a disproportionately large effect on the PD RF aci uncertainty. One way to constrain this uncertainty is to better characterize natural sources of aerosols, which were predominant during the PI time. However, there are very few places on Earth that may still resemble PI-like conditions with minimum anthropogenic influence. Among these locations, the Southern Ocean is probably the region with the highest number of PI-like days during summer (Hamilton et al., 2014). Recently, Regayre et al. (2020) demonstrated that a small set of measurements over the Southern Ocean can be as effective as a two orders of magnitude larger and more heterogeneous set of data from the Northern Hemisphere in reducing the RF aci in a global climate model. This highlights the value of measurements in pristine and remote locations.