TianJi is the first 'AI meteorologist' system capable of autonomously driving complex numerical models to verify physical hypotheses in atmospheric science.
March 31, 2026
Original Paper
TianJi:An autonomous AI meteorologist for discovering physical mechanisms in atmospheric science
arXiv · 2603.27738
The Takeaway
Demonstrates an LLM-driven multi-agent system that moves beyond statistical weather prediction to autonomous scientific discovery. It can perform literature research, generate hypotheses, configure simulations, and analyze results with zero human intervention.
From the abstract
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 Tian