Weather Forecasting
1 / 5
Ensemble weather forecasts for Europe quantify uncertainty by running multiple model versions from slightly different initial conditions, with the 50-member ECMWF ENS mean serving as the traditional benchmark.
2 / 5
Physics-foundation-model ensembles such as EPT-2e now outperform the ECMWF ENS mean on both RMSE and CRPS across virtually all lead times from Day 1–15.
3 / 5
Four operational criteria define whether an ensemble product is ready for energy-trading workflows: model capability, usability, reliability, and integration fit.
4 / 5
Physics-foundation-model ensembles deliver four daily cycles, dramatically lower compute costs, and unified API access to 25+ models including ECMWF products.
5 / 5
Run a live benchmark with Jua to compare EPT-2e against your current ensemble provider in under 30 seconds.
Compare ensemble weather forecast models for Europe. Discover why Jua's EPT-2e beats ECMWF ENS on accuracy — benchmark it live in 30 seconds.