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English(EN) Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems

地球系统世界模型用于假设情景模拟:陆地生态系统案例研究

研究人员开发了一个新的机器学习框架用于地球系统模拟,该框架超越了被动预测,实现了交互式 AI

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在 arXiv cs.AI 阅读 →

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地球系统世界模型用于假设情景模拟:陆地生态系统案例研究

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhihao Wang, Ruichen Wang, Ruohan Li, Lei Ma, George Hurtt, Xiaowei Jia, Gengchen Mai, Shaowen Wang, Yiqun Xie ·

    地球系统“假设”模拟模型:陆地生态系统案例研究

    arXiv:2609.08855v1 Announce Type: cross Abstract: Machine learning emulators have become essential for accelerating expensive Earth-system simulations, but most existing approaches remain passive forecasters: they reproduce simulator trajectories under prescribed forcings without…