Weather forecasts several weeks ahead are uncertain, but this uncertainty itself can change depending on large-scale atmospheric conditions. We present a new way to measure how well forecasts capture these changes in uncertainty. Our results show that reliability of uncertainty varies strongly with region and is linked to slow, predictable patterns in the atmosphere. These findings help identify periods when forecasts are more trustworthy.