AIFSThe selected time, variable and region is available for this model. ECMWF runs the Artificial Intelligence/Integrated Forecasting System (AIFS). The output of this AIFS experimental model is forecast with 6-hourly time steps out to 15 days initialised from the ECMWF operational analysis. Forecasts are produced four times per day (00/06/12/18UTC). The data are released 1 hour after the real-time. See more info here.
ECMWFThe selected time, variable and region is available for this model. The European Centre for Medium-Range Weather Forecasts (ECMWF) creates forecasts for the upcoming 15 days and is a global leader in forecast skill. However, it offers only a small number of parameters for free. The 00Z and 12Z runs are coming in twice daily between 6 and 7 UTC and 18 and 19 UTC.
GEMThe selected time, variable and region is available for this model. GEM is the global forecast model of the Canadian weather service and computes 10 day forecasts.
GFSThe selected time, variable and region is available for this model. GFS is the global weather forecast model of the US weather service run at an internal resolution of 28 km. It offers a plethora of parameters for the next 15 days. Updated 4 times a day up to 384 hours ahead. The runs for the 0, 6, 12 and 18Z runs are usually coming in from 3:30, 9:30, 15:30 and 21:30 UTC, respectively.
ICONThe selected time, variable and region is available for this model. ICON is the global weather forecast of the German weather service (DWD) with a grid spacing of approx. 13 km globally (Europe nest: 6 km). Model output is available up to 180 hours ahead for the 0Z and 12Z runs, and up to 120 hours for the 6Z and 18Z runs.
UKMOCurrently selected. Model output from the United Kingdom Met Office (UKMO). Maps are updated twice daily around 6:45 und 18:45 UTC. Only basic pressure maps are available and forecast data ranges from day 3 to 6.
Member:
OP
72Mon 1 Apr 12:00
96Tue 2 Apr 12:00
120Wed 3 Apr 12:00
144Thu 4 Apr 12:00
Run:
00 12
Interval
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You are now in the multi variable mode. Select all the variables of interest and they will be plotted side-by-side in a grid.

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