The article assesses how well different global climate models perform in predicting regional weather patterns in the northern hemisphere. The researchers looked at 126 model simulations from 51 different models and found that the best-performing models are not always the most complex ones. They also discovered that models in the latest phase (CMIP6) generally perform better than those in the previous phase (CMIP5). The resolution of the atmospheric model component plays a significant role in model performance, with finer resolutions leading to better predictions. This study provides a ranking of models based on their performance, which can help in selecting models for regional climate studies in the future.