Global sensitivity analysis sheds light into computational simulation boxes with uncertain inputs by apportioning the output uncertainty to different input factors (Saltelli et al., 2008). To identify these key-drivers of uncertainty the cumulative sum of normalized reordered output (CUSUNORO) curve has been developed as a visual tool (Plischke, 2012), condensing the contents of a scatterplot into a single curve. For a scatterplot (from given input/output data), cusunoro compares the output mean to the left of any given abscissa with the unconditional output mean.