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.
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 time, variable and region is available for this model.
HARMONIE (DMI)The selected time, variable and region is available for this model.
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 time, variable and region is available for this model.
3Mon 03 Jun 09:00
6Mon 03 Jun 12:00
9Mon 03 Jun 15:00
12Mon 03 Jun 18:00
15Mon 03 Jun 21:00
18Tue 04 Jun 00:00
21Tue 04 Jun 03:00
24Tue 04 Jun 06:00
27Tue 04 Jun 09:00
30Tue 04 Jun 12:00
33Tue 04 Jun 15:00
36Tue 04 Jun 18:00
39Tue 04 Jun 21:00
42Wed 05 Jun 00:00
45Wed 05 Jun 03:00
48Wed 05 Jun 06:00
51Wed 05 Jun 09:00
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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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