ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets
The episode discusses ClimateSOM, a workflow for visually analyzing large climate ensemble datasets using a Self-Organizing Map (SOM) and Large Language Models (LLMs). The tool allows scientists to explore, compare, and cluster model runs to find patterns missed by traditional methods. While the tool has limitations like needing human correction for LLM queries, experts found its insights valuable for building trust in climate science.