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ECMWF AIFS Ensemble

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.

Live Forecast 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

Technical Specifications

Available Weather Parameters

ECMWF AIFS ENS uses standardized variable naming conventions. For full details on the naming structure, see Weather Variable Naming.

Code
API Name
Description
Units

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

Hindcast Data

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