AI助力地球系统多圈层耦合建模，提升物理一致性与跨域集成能力。
Toward Artificial Intelligence Enabled Earth System Coupling
- 利用先进AI技术强化地球各圈层间的跨域交互机制
- 支持更连贯的多组分模型表示，推动统一地球系统框架
- 适合关注气候模拟、地球系统建模与AI融合的研究者
地球系统耦合是调控其各圈层间物理、化学和生物过程相互作用的基础机制。本文探讨新兴人工智能（AI）方法如何为增强地球系统耦合提供新机遇，并解决多组分模型中长期存在的局限性。不同于对下一代模型的广泛综述，本文聚焦于前沿AI技术如何加强跨领域互动、支持更一致的多组分表征，并推动统一地球系统框架的发展。研究范围涵盖气候模型及所有涉及地球圈层相互作用的建模系统。文章梳理了新兴机遇、持续挑战以及通过AI提升物理一致性、可解释性与跨域集成的理论路径，为理解AI在推进耦合地球系统建模中的作用提供了结构化基础。
原文摘要 · Abstract (English)
Coupling constitutes a foundational mechanism in the Earth system, regulating the interconnected physical, chemical, and biological processes that link its spheres. This review examines how emerging artificial intelligence (AI) methods create new opportunities to enhance Earth system coupling and address long-standing limitations in multi-component models. Rather than surveying next-generation modelling efforts broadly, we focus specifically on how state-of-the-art AI techniques can strengthen cross-domain interactions, support more coherent multi-component representations, and enable progress toward unified Earth system frameworks. The scope extends beyond climate models to include any modelling system in which Earth spheres interact. We outline emerging opportunities, persistent limitations, and conceptual pathways through which AI may enhance physical consistency, interpretability, and integration across domains. In doing so, this review provides a structured foundation for understanding the role of AI in advancing coupled Earth system modelling.
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