Climate simulation more realistic with artificial intelligence

Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially with regard to extreme events, researchers now use machine learning methods otherwise applied to image generation. Computers already use artificial intelligence to improve the resolution of fuzzy images, to create images imitating the style of particular painters based on photographs, or to render realistic portraits of people who do not actually exist. The underlying method is based on what are referred to as GANs (Generative Adversarial Networks).