Overview
The AI Weather Quest leaderboards page provides a dynamic view of how teams and models are performing throughout the competition.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 (2m) 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).
The Leaderboards page displaysAI Weather Quest leaderboards page provides a dynamic view of how teams and models are performing throughout the competition. It displays ranked Probability Skill Scores (RPSS) for submitted forecasts, as well as team and model rankings, through leaderboards and evolution graphs. Evaluation results are only made available after the evaluation date (day 37 of each competition week) has passed, on Fridays at 00:00 UTC.
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- X-axis: competition week numbers
- Y-axis: RPSS scores of models
- Default view: top 5 models for selected filters
- Up to 10 models can be selected at once
Note: Line colours in the team and model graphs are assigned independently, so a team’s line colour will not necessarily match the colour of its models.