AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

• Published in: arXiv.org
• Main Authors: S Karthik Mukkavilli, Daniel Salles Civitarese, Schmude, Johannes, Jakubik, Johannes, Jones, Anne, Nguyen, Nam, Phillips, Christopher, Roy, Sujit, Singh, Shraddha, Watson, Campbell, Ganti, Raghu, Hamann, Hendrik, Nair, Udaysankar, Ramachandran, Rahul, Weldemariam, Kommy
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 20.09.2023
• Subjects: Artificial intelligence; Atmospheric models; Climate models; Deep learning; Digital twins; Generative artificial intelligence; Graph neural networks; Hurricanes; Machine learning; Meteorology; Nowcasting; State-of-the-art reviews; Transformers; Weather forecasting

Machine learning and deep learning methods have been widely explored in understanding the chaotic behavior of the atmosphere and furthering weather forecasting. There has been increasing interest from technology companies, government institutions, and meteorological agencies in building digital twin...