 This assessment compares studies that predict runoff hydrographs in engaged catchments, with the aim of learning from differences and similarities between catchments in different locations. The assessment is performed at two levels, a meta-analysis of 34 studies involving 3,874 catchments, and a more focused analysis of individual basins from selected studies. The results indicate that runoff hydrograph predictions tend to be more accurate in humid than arid catchments and more accurate in large than small catchments. The dependence of performance on elevation differs by regions and depends on how aridity varies with elevation and air temperature. The effect of the parameter regionalization method on model performance differs between studies, but spatial proximity in geostatistics tend to perform better in humid catchments while similarity and parameter regression methods perform slightly better in arid catchments. There was no clear relationship between predictive performance and the number of regionalized model parameters. The implications of these findings are discussed in the context of model building. This article was authored by J. Parajka, Aviglioni, M. Rogger, and others. We are article.tv, links in the description below.