Weather Forecasting
1 / 5
EPT-2 sets the 2026 accuracy ceiling for AI weather models over Europe. It outperforms ECMWF HRES, AIFS, and Aurora on 10 m wind, 100 m wind, 2 m temperature, and surface solar radiation across the full 0–240 hour lead-time range.
2 / 5
On StationBench, evaluated against more than 10,000 real ground stations with no post-processing, EPT-2 delivers the lowest RMSE on all four energy-critical variables and beats the 50-member ECMWF ENS mean on both RMSE and CRPS…
3 / 5
EPT-2’s higher native resolution (~5 km, up to 1 km in Jua for Energy) and training on over 5 petabytes of observational data support stronger performance on European extremes and complex microclimates than earlier AI models.
4 / 5
Operationally, EPT-2e runs four times daily and EPT-2 RR up to 24 times daily at a fraction of traditional NWP cost. These accuracy gains translate into millions of euros saved annually on 1 GW wind and solar portfolios.
5 / 5
Run these benchmarks on your own region and variables with Jua for Energy.
Jua's EPT-2 sets the 2026 accuracy ceiling for AI weather forecasting in Europe, outperforming ECMWF HRES, AIFS & Aurora. See the benchmarks.