English(EN) Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting

地球系统基础模型整合多样化数据用于气候预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-05 04:00

研究人员开发了地球系统基础模型 (ESFM)，这是一个开源框架，旨在整合和预测多样化的地球系统数据。ESFM 基于 Aurora 模型架构，并采用了处理异构数据的新方法，包括来自卫星和站点源的缺失值。该模型利用轴向注意力捕捉变量间的依赖关系，并通过对单个变量进行分词以方便适应新任务，在与现有基准的比较中表现出具有竞争力或更优的性能。 AI

影响为地球系统科学引入了一个新的基础模型，有望改善气候预测和极端天气预报。

排序理由这是一篇描述地球系统科学新基础模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Firat Ozdemir, Yun Cheng, Salman Mohebi, Fanny Lehmann, Simon Adamov, Zhenyi Zhang, Leonardo Trentini, Dana Grund, Oliver Fuhrer, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm, Benedikt Soja, Mathieu Salzmann · 2026-05-05 04:00

地球系统基础模型 (ESFM): 异构数据集成与预测的统一框架

arXiv:2605.00850v1 Announce Type: cross Abstract: Foundation models (FMs) for the Earth system learn statistical relationships between physical variables across massive datasets to enable versatile downstream applications through finetuning, separating them from task-specific wea…

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报道来源 [1]

地球系统基础模型 (ESFM): 异构数据集成与预测的统一框架

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