Dust plays a critical role in global biogeochemical cycles, influencing atmospheric chemistry and climate, especially at high latitudes. We implemented an Aeolian dust emissions module in the Global Environmental Multi-scale: Modelling Air-quality and Chemistry (GEM-MACH) model, to simulate dust transport and concentrations over northern North America. Our results indicate that while GEM-MACH broadly captures global dust distribution patterns, compared to observations from the US EPA’s IMPROVE network and Environment and Climate Change Canada’s monitoring stations, the model underestimated crustal material concentrations across most high-latitude stations, highlighting limitations in current dust source maps and the need for further refinement of the model parameters.