EarthLink: A Self-Evolving AI Agent for Climate Science

• URL: http://arxiv.org/abs/2507.17311v2
• Date: Thu, 24 Jul 2025 15:12:15 GMT
• Title: EarthLink: A Self-Evolving AI Agent for Climate Science
• Authors: Zijie Guo, Jiong Wang, Xiaoyu Yue, Wangxu Wei, Zhe Jiang, Wanghan Xu, Ben Fei, Wenlong Zhang, Xinyu Gu, Lijing Cheng, Jing-Jia Luo, Chao Li, Yaqiang Wang, Tao Chen, Wanli Ouyang, Fenghua Ling, Lei Bai,
• Abstract summary: We introduce EarthLink, the first AI agent designed as an interactive copilot for Earth scientists.<n>It automates the end-to-end research workflow, from planning and code generation to multi-scenario analysis.<n>In a multi-expert evaluation, EarthLink produced scientifically sound analyses and demonstrated an analytical competency.
• Score: 48.79195019138236
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Modern Earth science is at an inflection point. The vast, fragmented, and complex nature of Earth system data, coupled with increasingly sophisticated analytical demands, creates a significant bottleneck for rapid scientific discovery. Here we introduce EarthLink, the first AI agent designed as an interactive copilot for Earth scientists. It automates the end-to-end research workflow, from planning and code generation to multi-scenario analysis. Unlike static diagnostic tools, EarthLink can learn from user interaction, continuously refining its capabilities through a dynamic feedback loop. We validated its performance on a number of core scientific tasks of climate change, ranging from model-observation comparisons to the diagnosis of complex phenomena. In a multi-expert evaluation, EarthLink produced scientifically sound analyses and demonstrated an analytical competency that was rated as comparable to specific aspects of a human junior researcher's workflow. Additionally, its transparent, auditable workflows and natural language interface empower scientists to shift from laborious manual execution to strategic oversight and hypothesis generation. EarthLink marks a pivotal step towards an efficient, trustworthy, and collaborative paradigm for Earth system research in an era of accelerating global change. The system is accessible at our website https://earthlink.intern-ai.org.cn.

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