Forecast errors in global weather predictions grow differently depending on the scale being considered. A new model was used to analyze these errors, showing that on larger scales, errors take around 7 days to reach their maximum, while on smaller scales, this happens in 2-3 days. The model also breaks down error growth into two components, with one dominating at planetary scales and the other at smaller scales.