AIFS Machine Learning data

ECMWF is now running its own Artificial Intelligence/Integrated Forecasting System (AIFS) as part of its experiment suite. These machine-learning-based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. 

Their use is governed by the Creative Commons CC-4.0-BY licence and the ECMWF Terms of Use. This means that the data may be redistributed and used commercially, subject to appropriate attribution.

How to access real-time open data

For more information on accessing these products, please see user documentation or visit the ECMWF Support Portal.

The data are released 1 hour after the real-time dissemination schedule

Graphical products

Graphical products are available as part of the charts catalogue and the ecCharts application. If the products are not found, please reload the page.

In both applications, search for “aifs” to find the relevant products.

Available Products

The output of this AIFS experimental model is forecast with 6-hourly time steps out to 10 days initialised from the ECMWF operational analysis. Forecasts are produced four times per day (00/06/12/18UTC).

All forecasts are produced on an approximately 0.25 x 0.25-degree grid (N320 grid). Open data for the AIFS is disseminated on a regular 0.25 x 0.25-degree grid.

Upper-air fields are z (geopotential), q (specific humidity), t (temperature), u (U component of wind), v (V component of wind) and w (vertical velocity) on the following pressure levels: 1000hPa, 925hPa, 850hPa, 700hPa, 600hPa, 500hPa, 400hPa, 300hPa, 250hPa, 200hPa, 150hPa, 100hPa and 50hPa.

The single-level fields are msl (mean sea level pressure), sp (surface pressure), 10u (10 metre U wind component), 10v (10 metre U wind component), 2t (2 metre temperature), 2d (2 metre dewpoint temperature), tp (total precipitation, accumulated from the start of the forecast) and cp (convective precipitation, accumulated from the start of the forecast).










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