Researchers at the Karlsruhe Institute of Technology (KIT) have developed an AI method using Generative Adversarial Networks (GANs) to improve the precision of global climate models, particularly in predicting extreme precipitation events. The AI model addresses challenges faced by current climate models in forecasting local-level variability by enhancing spatial resolution from 32 to two kilometers and temporal resolution from one hour to ten minutes. This breakthrough allows for more accurate analysis of climate impacts, supporting advanced simulations for estimating the effects of extreme weather conditions in a changing climate. The AI-driven model is quicker and produces an ensemble of potential precipitation fields, enhancing the reliability of climate predictions by determining associated uncertainties. (Source: Coingape)