OceanMind: A multi-agent AI system for ocean diagnosis
Time-dependent, three-dimensional (3D) oceanic multi-variables define coherent states of the evolving ocean to facilitate ocean diagnosis and advance ocean science to better inform environmental and hazard management. However, extracting quantitative evidence from these variables requires substantial and complex analytical effort. We introduce OceanMind, a multi-agent AI system that directly couples large language models (LLMs) with comprehensive time-dependent 3D ocean states for swift and effective diagnosis. OceanMind organizes the analytical process into four coordinated complexity stages: Query Routing, Skill-based Planning, Tool Execution, and Evidence-based Summary Generation. Spec...
| Authors | Fan Zhang, Weicong Cheng, Yuheng Chen et al. |
|---|---|
| Primary category | physics.ao-ph |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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