Third Party Models
The Jua platform provides access to several third-party weather models alongside our proprietary EPT models. These models can be accessed through both the platform interface and API.
Available Models
ECMWF Models
ECMWF IFS Operational - ECMWF IFS HRES model, often referred as ops. See ECMWF IFS for details.
ECMWF IFS Ensemble Mean - Average of multiple ECMWF IFS Ensemble runs, often referred to as ENS mean.
ECMWF AIFS - EC's AI-based forecasting model (learn more)
NOAA Models
GFS - Global Forecast System from NOAA. See GFS NOAA for details.
GFS Ensemble Mean - Average of multiple GFS ensemble runs
AI Models
Microsoft Aurora - Microsoft's AI-based global weather model. See Microsoft Aurora for details.
GFS GraphCast - Google DeepMind's ML-based weather prediction model, initialised by GFS. See GFS GraphCast for details.
Regional Models
AROME France HD - High-definition regional model from Météo-France
ICON-EU - Regional European model from DWD (Deutscher Wetterdienst)
Hindcasts
The following hindcast datasets are available:
ECMWF AIFS - Historical forecast data available for performance analysis and evaluation. See ECMWF AIFS for details.
ECMWF IFS Operational - Historical forecast data available. See ECMWF IFS for details.
GFS NOAA - Historical forecast data available. See GFS NOAA for details.
Microsoft Aurora - Hindcast data available. See Microsoft Aurora for details.
API Access
To access these third-party weather models, specify the model name in your API requests:
For historical forecasts, you can use the init_time parameter:
Format: YYYYMMDDTHHMMSSZ (ISO 8601 format with Z indicating UTC time)
For complete API documentation, please refer to our API Reference.
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