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EPT-1.5 Technical Report

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arxiv 2410.15076 v2 pith:UAFDRGBI submitted 2024-10-19 cs.AI

Roberto Molinaro , Jordan Dane Daubinet , Alexander Jakob Dautel , Andreas Schlueter , Alex Grigoryev , Nikoo Ekhtiari , Bas Steunebrink , Kevin Thiart
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Roan John Song Henry Martin Leonie Wagner Andrea Giussani Marvin Vincent Gabler
This is my paper · ORCID
classification cs.AI
keywords ept-1weathereartheuropeanmodelswindannouncebuilt
verification ladder T0 review T1 audit T2 compute T3 formal
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We announce the release of EPT-1.5, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI earth system models. EPT-1.5 demonstrates substantial improvements over its predecessor, EPT-1. Built specifically for the European energy industry, EPT-1.5 shows remarkable performance in predicting energy-relevant variables, particularly 10m & 100m wind speed and solar radiation. Especially in wind prediction, it outperforms existing AI weather models like GraphCast, FuXi, and Pangu-Weather, as well as the leading numerical weather model, IFS HRES by the European Centre for Medium-Range Weather Forecasts (ECMWF), setting a new state of the art.

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  1. EPT-2 Technical Report

    cs.LG 2025-07 conditional novelty 4.0 of 10

    EPT-2 is a 9 km global AI weather model reported to beat Aurora, IFS HRES, and the ECMWF ENS mean over 0 to 240 hours on energy-relevant variables.

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