Unfolding the Interdisciplinary Complexities of Climate Science: Fuxi-Climate Foundational Model

• URL: http://arxiv.org/abs/2608.22242v1
• Date: Sun, 23 Aug 2026 06:43:42 GMT
• Title: Unfolding the Interdisciplinary Complexities of Climate Science: Fuxi-Climate Foundational Model
• Abstract summary: Fuxi-Climate Foundation Model (CFM) designed to support consistent reasoning across domains.<n>On expert-designed climate transition tasks, CFM produces more structured analyses that explicitly address trade-offs and uncertainty.<n>These results indicate that CFM can support more realistic analysis of climate risks and transition pathways.
• Score: 17.32455386909819
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Climate research and decision-making require integrating evidence across physical processes, socio-economic dynamics and policy responses. Large language models (LLMs) have been explored for accessing and synthesizing climate knowledge, but their ability to support structured interdisciplinary reasoning is still limited. Here we present the Fuxi-Climate Foundation Model (CFM), a climate-specialized LLM designed to support consistent reasoning across domains. CFM maintains more stable analytical behavior as interdisciplinary complexity increases, whereas performance in other models becomes more variable. On expert-designed climate transition tasks, CFM produces more structured analyses that explicitly address trade-offs and uncertainty, achieving 45% trade-off coverage and 47.27% uncertainty-aware reasoning. These results indicate that CFM can support more realistic analysis of climate risks and transition pathways, and provide a basis for agent-based systems to explore complex policy and decision scenarios. The model is openly available at https://huggingface.co/SII-yuning/cfm.

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