Advance and accurate forecasts of rainfall can aid many sectors, from agriculture to disaster mitigation. However, given the tremendous spatial variability of rainfall, only forecasts at high resolution can serve users’ needs. The skill of a dynamical forecast model depends on the resolution and varies from region to region. While such non-uniqueness poses challenges, they also provide avenues for improving skill; in particular, calibration and customization can improve