The provided sources discuss the revolutionary impact of Artificial Intelligence (AI) on climate modeling as of August 2025, highlighting a shift towards hybrid models that integrate physics-based simulations with data-driven AI. They explain how AI, particularly machine learning and deep learning, enhances computational speed, spatial resolution, and predictive accuracy across various Earth systems, including the atmosphere, oceans, cryosphere, and global carbon cycle. The sources also identify key players in this innovation, such as academic institutions, government agencies (NOAA, NASA), and major technology companies (NVIDIA, Google, IBM), emphasizing the rise of large "foundation models" and generative AI. Finally, the text addresses significant challenges like the "black box" nature of AI, ensuring physical consistency, mitigating data biases, and managing the environmental footprint of AI itself, underscoring the need for responsible and ethical AI development in climate science.

Research done with the help of artificial intelligence, and presented by two AI-generated hosts.