The researchers compared different ways of predicting heavy rain in the Midwestern US using computer models. Regional models predict heavy rain more accurately than global ones. They also tested a method called analogs, which helps improve global model predictions. Results show that analogs work as well as high-quality data for describing heavy rain now. For the past, regional models are better than global models at predicting heavy rain but have similar differences between models. Looking ahead, analogs are more consistent between models in predicting future heavy rain compared to direct simulations. Regional models using analogs are not significantly better than global models in predicting future heavy rain. More research with more models is needed to draw definite conclusions.