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The AI Weather Quest is a collaborative forecasting challenge hosted by ECMWF, designed to explore the potential of AI and machine learning in medium-range weather prediction. Participating teams are challenged with providing quintile-based probabilistic forecasts for three key variables: near-surface air temperature (tas), mean sea level pressure (mslp), and accumulated precipitation (pr). Forecasts target lead times of days 19 to 25 (week 3) and days 26 to 32 (week 4).
Starting 19 September 2025, the Leaderboards page will display:
- Ranked Probability Skill Scores (RPSS) for submitted forecasts
- Tables showing team and model rankings
- Evolution graphs tracking performance over time
Evaluation results are indeed only made available after the evaluation date (day 37 of each competition week) has passed.
This guide explains how to use the leaderboards page effectively and track the evolution of team and model performance over time.
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- Team members (if public)
- Model descriptions (model methodologies will first be added after the end of the first period)
- Participation history (forecast submissions by week, window, and variable)
- Submitted forecast data in previous period(s) (will first be added after the end of the first period)