TianJi:An autonomous AI meteorologist for discovering physical mechanisms in atmospheric science
Artificial intelligence (AI) has achieved breakthroughs comparable to traditional numerical models in data-driven weather forecasting, yet it remains essentially statistical fitting and struggles to uncover the physical causal mechanisms of the atmosphere. Physics-oriented mechanism research still heavily relies on domain knowledge and cumbersome engineering operations of human scientists, becoming a bottleneck restricting the efficiency of Earth system science exploration. Here, we propose TianJi - the first "AI meteorologist" system capable of autonomously driving complex numerical models to verify physical mechanisms. Powered by a large language model-driven multi-agent architecture, T...
| Authors | Kaikai Zhang, Xiang Wang, Haoluo Zhao et al. |
|---|---|
| Primary category | cs.AI |
| Published | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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