In this work, we utilize a suite of global aerosol-climate models to assess differences in each chain of these microphysical interactions, including one model with different sets of aerosol-cloud parameterizations. While each model simulates different cloud droplet number burdens in the global average, we find these differences to be greatest over remote maritime regions with little anthropogenic pollution. The interactions - and subsequent indirect effect - critically depend on the baseline cloud droplet number predicted in these regions. Models with lower droplet number, on average, in these regions tend to simulate much stronger indirect effects. These results motivate an improvement in observing the microphysical properties of clouds - particularly droplet number and size distributions across their lifetime - in remote, clean, maritime regions as a means to reduce uncertainty in AIE.