Leaderboards

View team rankings and model performance on weekly or period timescales. You can filter results by competitive period, forecast initialisation, forecast window, and variable(s). Click a team name for details on participants and models and click a skill score value to view corresponding forecasts in the ECMWF-hosted sub-seasonal AI forecasting portal (see portal guide).

Learn how the leaderboards and evaluation views are structured

Competitive period and competition week (forecast initialisation date)
Forecast window
First forecast window:
Days 19 to 25
Second forecast window:
Days 26 to 32
Variable
Variable-averaged
(tas, mslp, pr)
Near-surface (2m)
temperature (tas)
Mean sea level pressure
(mslp)
Precipitation
(pr)

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Period-aggregated RPSSs

Team Rank Model Rank Team name
Model name		 Period-aggregated RPSSs
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Select up to 10 teams.

Select up to 10 models. The choises are structured as follows:
Please note: A score of 0.0 corresponds to climatology (i.e. a uniform 20% forecast for each quintile bin). Values above 0 indicate better skill compared to climatology, while values below 0 indicate worse skill.

Weekly RPSSs

Team Rank Model Rank Team name
Model name		 Weekly RPSSs
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Select up to 10 teams.

Select up to 10 models. The choises are structured as follows:
Please note: A score of 0.0 corresponds to climatology (i.e. a uniform 20% forecast for each quintile bin). Values above 0 indicate better skill compared to climatology, while values below 0 indicate worse skill.

Join our interactive discussion forum to connect with both fellow participants and organisers!

This space encourages collaboration and knowledge sharing during the competition: stay updated with official announcements, ask questions, find teammates and share insights with other teams.

Join the forum
Team building activity