An additional compelling aspect to consider is the accuracy with which weather services predict substantial temperature fluctuations. These fluctuations are characterized by changes where the daily maximum temperature during the forecast period deviates by 5 degrees Celsius or more from the current maximum temperature, with a permissible margin of error set at 2 degrees Celsius.

For forecasts extending six days or more, the precision in predicting temperature shifts of 5 degrees Celsius or greater generally decreases compared to forecasts of smaller changes, ranging from 0 to 4 degrees Celsius. However, within a 6-day forecasting period, the accuracy levels for predicting both minor and major temperature changes are similar.

This analysis suggests that while longer-term forecasts face challenges in maintaining high accuracy for significant temperature changes, the predictability within a shorter timeframe remains robust. Enhancing forecast models for extended periods could therefore be a critical area for improving the reliability of weather predictions, particularly for significant temperature variations.