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