Hierarchical LLM-Agent for Multi-Scale Weather Forecasting

This ArXiv paper proposes a novel system combining Large Language Models (LLMs) and agents for weather forecasting, offering potential improvements in explainability and multi-scale prediction accuracy. The research is significant as it addresses the limitations of current weather models by leveraging AI to generate more informative and accessible forecasts.

• •The paper introduces a hierarchical AI system specifically designed for weather forecasting.
• •The system uses LLMs and agents to improve forecast explainability.
• •The approach aims for multi-scale weather prediction capabilities.