AROMECurrently selected. AROME is a high resolution (2.5 km) weather forecast model which is used by various weather services in Europe. On the WZ, forecasts from Meteo France and the Norwegian Weather Service are shown for western Europe and northern Europe, respectively.
ARPEGEThe selected time, variable and region is available for this model. ARPEGE is the global forecast model of the French weather service (Meteo France). It is runs with a maximum resolution of approx. 7 km in Europe and mean global grid spacing of 15 km. WZ offers forecasts up to 102 hours.
COAMPSThe selected time, variable and region is available for this model.
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.
HARMONIE(ME)The selected variable and region is available, but not for 2024-06-26, 00:00. You will switch back to the first available time step.
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.
UKMO EUThe selected variable and region is available, but not for 2024-06-26, 00:00. You will switch back to the first available time step.
1Tue 25 Jun 10:00
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51Thu 27 Jun 12:00
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Single-variable mode
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.
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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