The article evaluates how well a computer model can predict regional weather patterns in the United States. The researchers used a method called Principal Component Analysis to compare the model's predictions with real data. They found that the model accurately simulates the daily weather patterns over the US. The patterns in the model match those observed in real life, explaining similar amounts of variation in the data. This means the model can effectively predict how the atmosphere behaves on a day-to-day basis.