ECMWF AIFS Ensemble
Last updated
The ECMWF AIFS Ensemble (AIFS ENS) is ECMWF's data-driven (AI) global ensemble, providing a control forecast plus 50 perturbed-forecast members. Jua serves it from ECMWF Open Data.
Global coverage at 25 km resolution (720x1440 grid)
Four daily runs (00, 06, 12, 18 UTC)
360h forecast (15 days) for every run
6-hourly time steps throughout (0–360h)
Real-time data access via Python SDK or REST API
ECMWF AIFS ENS uses standardized variable naming conventions. For full details on the naming structure, see Weather Variable Naming.
2t
air_temperature_at_height_level_2m
Air temperature at 2m
Kelvin
2d
dew_point_temperature_at_height_level_2m
Dew-point temperature at 2m
Kelvin
skt
surface_temperature
Surface (skin) temperature
Kelvin
10si
wind_speed_at_height_level_10m
Horizontal wind speed at 10m
m s⁻¹
100si
wind_speed_at_height_level_100m
Horizontal wind speed at 100m
m s⁻¹
10wdir
wind_direction_at_height_level_10m
Horizontal wind direction at 10m
Degrees true
100wdir
wind_direction_at_height_level_100m
Horizontal wind direction at 100m
Degrees true
sp
surface_air_pressure
Surface pressure
Pa
msl
air_pressure_at_mean_sea_level
Mean Sea-level Pressure
Pa
tp
precipitation_amount_sum_1h
Total Precipitation
mm m⁻²
ssrd
surface_downwelling_shortwave_flux_sum_1h
Surface solar downward irradiance
J m⁻²
Data Access: Hindcasts are available via API or SDK. For bulk, grid-based access, please contact support@jua.ai.
Model
Spatial Extent
Temporal Extent
ECMWF AIFS ENS
Global, 25 km resolution (720x1440 grid)
2025-07-01 - today
Last updated