Clouds play an important role in determining Arctic warming, but remain difficult to constrain with available observations. We use two satellite-derived cloud phase metrics to investigate the vertical structure of Arctic clouds in global climate models that use the Community Atmosphere Model version 6 (CAM6) atmospheric component. We produce a set of constrained model runs by adjusting model microphysical variables to match the cloud phase metrics. Models in this small ensemble have variable representation of cloud amount and phase in the winter, while uniformly underestimating total cloud cover in the spring and overestimating it in the summer. We find a consistent correlation between winter and spring cloud cover simulated for the present-day and the longwave cloud feedback parameter.