The research team at the APCC (Dr. Yun-Young Lee, Dr. Miae Kim, and Dr. Uran Chung) has officially launched EastAsiaClimateExtremes, a comprehensive public repository of climate extreme data for the East Asia region on GitHub (https://github.com/yyalexlee/EastAsiaClimateExtremes). GitHub is a web-based storage space widely used by developers and researchers to store and share a project's source code and version history.

As extreme weather events such as anomalously high temperatures, heavy rainfall, and marine heatwaves intensify, there is a growing interest in AI-based prediction models. However, the lack of standardized AI-ready extreme climate data has been a major hurdle for researchers.

The newly released dataset provides ready-to-use observations and climate model data on climate extremes, reducing data preparation efforts for AI research. It also includes open-source Jupyter Notebook code available on GitHub, allowing users to easily analyze climate extremes, visualize results, and explore the data.

The APCC expects this initiative to significantly improve data accessibility for researchers, serving as a vital infrastructure to advance climate prediction information technologies and AI research in East Asia.

Full text (arXiv): https://arxiv.org/html/2609.08241v2