Bright key facts / Deployed
The forecast competition leaves its data open.
ECMWF released JJA 2026 forecast files and regional scores for an open framework comparing AI and hybrid subseasonal weather systems.
- AI’s role
- Participating machine-learning and hybrid systems made real-time forecasts under common rules for temperature, pressure, and precipitation.
- Documented result
- The public dataset covers common days 19–25 and 26–32 lead windows and publishes forecast files and regional scoring for JJA 2026.
- Important limitation
- Benchmark skill does not make a forecast actionable in every region.