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.
3Sat 08 Jun 03:00
6Sat 08 Jun 06:00
9Sat 08 Jun 09:00
12Sat 08 Jun 12:00
15Sat 08 Jun 15:00
18Sat 08 Jun 18:00
21Sat 08 Jun 21:00
24Sun 09 Jun 00:00
27Sun 09 Jun 03:00
30Sun 09 Jun 06:00
33Sun 09 Jun 09:00
36Sun 09 Jun 12:00
39Sun 09 Jun 15:00
42Sun 09 Jun 18:00
45Sun 09 Jun 21:00
48Mon 10 Jun 00:00
51Mon 10 Jun 03:00
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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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