AI-driven weather forecast models show strong achievement in reducing the amount of time required to create a weather forecast, as the models are not driven by the computationally demanding fundamental equations of the atmosphere like NWP. However, like NWP, weather forecasts generated by AI-driven models struggle with forecast accuracy at longer lead times, due to the iterative approach of weather forecasting to atmospheric variables that are chaotic and stochastic.