Climate change is an urgent global issue, and its impact is becoming increasingly visible worldwide. One of the most concerning consequences of climate warming is the rise in frequency and intensity of extreme weather events. To better address this challenge, it is crucial to gain a deeper understanding of the mechanisms that drive the generation of these events, particularly their large-scale dynamics. To this end, our project aims to investigate how such dynamics can trigger the occurrence of diverse extreme weather phenomena in distant geographical locations, and work on identifying pathways to improve their prediction. We will also examine how the interplay between the atmosphere, sea, and ice contributes to the development of severe weather systems, such as cyclones and atmospheric rivers. By shedding light on these complex processes, we hope to provide insights that can inform effective climate mitigation strategies and enable more accurate predictions of future climates. Our project will be used by and benefit a large number of researchers within the meteorology group at the Dept. of Earth Sciences, Uppsala University. To explore the influence of air-sea-ice interactions on the polar climate, we will use the atmosphere-wave-ocean-ice fully coupled model and the EC-Earth model, conducting different sensitivity experiments. In addition, the machine learning model will be used to identify the sea ice floe distribution from satellite images.