The article discusses how to show uncertainties in predictions of multiple variables over time, like climate models. They use copulas to illustrate the variability in these predictions and the relationships between the variables. Different copula families can affect the uncertainties in the predictions. The researchers used synthetic data and climate predictions to study these uncertainties and relationships, grouping the data by decades for better analysis. They created an interactive tool to help visualize and communicate these uncertainties in the data.