EPT-1.5 Technical Report

Roberto Molinaro; Jordan Dane Daubinet; Alexander Jakob Dautel; Andreas Schlueter; Alex Grigoryev; Nikoo Ekhtiari; Bas Steunebrink; Kevin Thiart; Roan John Song; Henry Martin; Leonie Wagner; Andrea Giussani; Marvin Vincent Gabler

arXiv · 2410.15076

EPT-1.5 Technical Report

Roberto Molinaro·Jordan Dane Daubinet·Alexander Jakob Dautel·Andreas Schlueter·Alex Grigoryev·Nikoo Ekhtiari·Bas Steunebrink·Kevin Thiart·Roan John Song·Henry Martin·Leonie Wagner·Andrea Giussani·Marvin Vincent Gabler

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Abstract

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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Roberto Molinaro, Jordan Dane Daubinet, Alexander Jakob Dautel, Andreas Schlueter, Alex Grigoryev, Nikoo Ekhtiari, Bas Steunebrink, Kevin Thiart, Roan John Song, Henry Martin, Leonie Wagner, Andrea Giussani, Marvin Vincent Gabler. 2024-10-19. EPT-1.5 Technical Report. https://arxiv.org/abs/2410.15076

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