Extreme temperature events can severely disrupt society, causing negative health consequences through to infrastructure damage. Furthermore, these events are projected to become increasingly severe under anthropogenically-forced climate change. A critical aspect of mitigating the impact of such events is the ability to predict their occurrence. This project will continue on from previous work studying the predictability of atmospheric circulation patterns associated with extreme temperature events. We will compute the predictability of large-scale atmospheric patterns using CMIP6 data, investigating any potential changes in the projected predictability of extreme temperature events in future climates.