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. The outputs are currently publicly available in graphical form.  

Available Products

The output of this AIFS experimental model is forecasts with 6-hourly time steps out to 10 days initialised from the ECMWF operational analysis. All forecasts are produced on an approximately 1 x 1-degree grid (O96 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) and 2d (2 metre dewpoint temperature).


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.








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