Page History

...

The first year of the AI Weather Quest is divided into four 13-week competitive periods. After each period, and following the end-of-period webinar and forecast evaluation, submitted forecasts are made publicly available following the schedule below (where each acronym refers to the forecasted months, i.e. SON is September, October, November):

Portal directory structure

...

• Categorised by forecast initialisation date: 

     [ROOT]/by_fc_date/[fc_init_date]/[teamname]/[modelname]/[forecast_file]

• Categorised by team:

     [ROOT]/by_team/[teamname]/[modelname]/[fc_init_date]/[forecast_file]

...

• Forecast initialisation date:

     [ROOT]/by_fc_date_zipfiles/[fc_init_date].zip

• Team:

     [ROOT]/by_team_zipfiles/[teamname].zip

The following are examples use the wget functionality:

Download near-surface temperature forecasts initialised on the 14th August 2025, for the first forecasting period, and submitted by team AIFS under the model name AIFSgaia:

     wget https://data.ecmwf.int/ai-weatherquest/by_fc_date/20250814/AIFS/AIFSgaia/tas_20250814_p1_AIFS_AIFSgaia.nc

Download all forecasts submitted by team AIFS throughout the competition:

     wget https://data.ecmwf.int/ai-weatherquest/by_team_zipfiles/AIFS.tar.gz

...

Finally, we recommend using the following tar command to unzip zip files.

     tar -czf [zip_file] [new_directory]

     tar -czf AIFS.tar.gz AIFS_forecasts/

...