Clouds play an important role in the climate system by modulating the amount of incoming and outgoing solar and terrestrial radiation. In the Arctic, mixed-phase clouds (MPCs) composed of both supercooled cloud droplets and ice crystals are ubiquitous. The radiative properties of MPCs are controlled by their thermodynamic phase distribution: for otherwise similar water contents, MPCs composed primarily of supercooled cloud droplets reflect more solar radiation than ice-dominated MPCs, leading to a cooling and warming, respectively. As such, correctly representing the thermodynamic phase distribution of Arctic MPCs in Earth System Models (ESMs) is essential for accurately predicting the future Arctic climate. In order for ice crystals to initially form in MPCs, so-called ice-nucleating particles (INPs) are required. In the past, INP concentrations in ESMs have been parameterized and been applied globally. However, there is growing evidence that INP concentrations vary depending on the proximity to major emission sources such as the Earth’s deserts or oceans. Therefore, here we investigate the influence of using a latitudinally dependent INP parametrization on the representation of Arctic MPCs.