English(EN) EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matching

新的流匹配模型以更低的成本模拟气候模拟

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 04:00

研究人员开发了EC-EarthFlow，这是一种新颖的生成流匹配模型，旨在模拟复杂的气候模拟。该模型成功地复制了EC-Earth3物理气候模型的每日温度变化、空间模式和长期趋势，但计算成本却大大降低。EC-EarthFlow能够预测每日温度场和年平均温度，在延长推理周期方面表现稳定，并能学习原始模拟中固有的物理关系。 AI

影响这项研究展示了一种计算效率更高的气候建模方法，有可能加速气候科学的科学发现。

排序理由这是一篇详细介绍气候模拟新生成模型的学术论文。[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) · Kirien Whan, Nikolaj T. M\"ucke, Karin van der Wiel · 2026-10-08 04:00

EC-EarthFlow：日瞬态全球气候模型模拟的概率模拟与流匹配

arXiv:2610.09715v1 Announce Type: new Abstract: We introduce EC-EarthFlow, a generative flow matching model that emulates simulations from the physical climate model EC-Earth3. The model is trained on transient simulations from EC-Earth3 (1950-2166, SSP2-4.5) to predict the day a…

本文如何被排名

报道来源 [1]

EC-EarthFlow：日瞬态全球气候模型模拟的概率模拟与流匹配

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