Climate Domain

Climate research is increasingly leveraging artificial intelligence to improve prediction accuracy and understanding of complex climate systems. Current efforts focus on developing and applying advanced machine learning models, including transformers, neural ordinary differential equations, and generative diffusion models, to tasks such as weather forecasting, downscaling climate projections, and analyzing the impacts of climate change on various systems (e.g., human health, political stability). These advancements offer the potential to enhance climate modeling, improve risk assessment, and inform mitigation and adaptation strategies, ultimately contributing to a more comprehensive and actionable understanding of climate change.