> For the complete documentation index, see [llms.txt](https://docs.jua.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jua.ai/models-and-products/third-party-models/ecmwf-aifs.md). # ECMWF AIFS ECMWF's AI-based forecasting model that provides global weather forecasts at 0.25° resolution. ## Live Forecast Data * Global coverage at 0.25° resolution (721x1440 grid) * Four daily runs (00, 06, 12, 18 UTC) * 20-day prediction horizon (480h, six-hourly) * Real-time data access via [Python SDK](/python-sdk/weather/forecast.md) or [REST API](/api-v2/getting-started.md) ## Technical Specifications ### Available Weather Parameters AIFS uses standardized variable naming conventions. For full details on the naming structure, see [Weather Variable Naming](/python-sdk/weather/naming.md). | Parameter Code | API Name | Description | Units | | -------------- | ---------------------------------------------- | ---------------------------------------------- | -------------------- | | 2t | air\_temperature\_at\_height\_level\_2m | Air temperature at 2m | K | | 2d | dew\_point\_temperature\_at\_height\_level\_2m | Dew point temperature at 2m | K | | r | relative\_humidity\_at\_height\_level\_2m | Relative humidity at 2m | % | | 10si | wind\_speed\_at\_height\_level\_10m | Horizontal wind speed at 10m | m s⁻¹ | | 10wdir | wind\_direction\_at\_height\_level\_10m | Horizontal wind direction at 10m | Degrees true | | 100si | wind\_speed\_at\_height\_level\_100m | Horizontal wind speed at 100m | m s⁻¹ | | 100wdir | wind\_direction\_at\_height\_level\_100m | Horizontal wind direction at 100m | Degrees true | | msl | air\_pressure\_at\_mean\_sea\_level | Mean Sea-level Pressure | Pa | | z\_500 | geopotential\_at\_pressure\_level\_50000Pa | Geopotential | m² s⁻² | | hcc | high\_type\_cloud\_area\_fraction | Cloud fraction in high levels of troposphere | range between \[0,1] | | mcc | medium\_type\_cloud\_area\_fraction | Cloud fraction in medium levels of troposphere | range between \[0,1] | | lcc | low\_type\_cloud\_area\_fraction | Cloud fraction in low levels of troposphere | range between \[0,1] | | tp | precipitation\_amount\_sum\_6h | Total Precipitation | mm m⁻² | | ssrd | surface\_downwelling\_shortwave\_flux\_sum\_6h | Surface solar downward irradiance | J m⁻² | ### Additional Variables on Request | Parameter Code | API Name | Description | Units | | -------------- | ------------------------------------------------------ | -------------------------------------------------------------------------------- | ------- | | tcwv | atmosphere\_mass\_content\_of\_water\_vapor | Total column vertically-integrated water vapour | kg m⁻² | | t | air\_temperature\_at\_pressure\_level (at 13 levels) | Temperature at a specified pressure level | K | | u | eastward\_wind\_at\_pressure\_level (at 13 levels) | U component of wind | m s⁻¹ | | v | northward\_wind\_at\_pressure\_level (at 13 levels) | V component of wind | m s⁻¹ | | q | specific\_humidity\_at\_pressure\_level (at 13 levels) | The mass of water vapour per kilogram of moist air at a specified pressure level | kg kg⁻¹ | | z | geopotential\_at\_pressure\_level (at 13 levels) | The gravitational potential energy of a unit mass | m² s⁻² | Note: The previous naming convention used in EPT-1.5 is deprecated. All new integrations should use the standardized naming shown above. ## Hindcast Data **Spatial Extent:** Global, on a grid of 721x1440 (25 km resolution). **Data Access:** Hindcasts are available via [API](/api-v2/getting-started.md) or [SDK](/python-sdk/getting-started.md). For bulk, grid-based access, please contact . | **Model** | **Temporal Extent** | **Forecast Horizon and Resolution** | | ---------------- | -------------------------------------------------------------- | ----------------------------------- | | AIFS-Single v1.1 |

2025-01-06 06:00:00 - today

at 00, 06, 12, 18 UTC

| 480h, six-hourly | --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.jua.ai/models-and-products/third-party-models/ecmwf-aifs.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.