ARPEGEThe selected variable and region is available, but not for 2024-09-27, 18:00. You will switch back to the first available time step. 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.
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.
GFSCurrently selected. 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.
UKMO EUThe selected variable and region is available, but not for 2024-09-27, 18:00. You will switch back to the first available time step.
0Tue 24 Sep 18:00
3Tue 24 Sep 21:00
6Wed 25 Sep 00:00
9Wed 25 Sep 03:00
12Wed 25 Sep 06:00
15Wed 25 Sep 09:00
18Wed 25 Sep 12:00
21Wed 25 Sep 15:00
24Wed 25 Sep 18:00
27Wed 25 Sep 21:00
30Thu 26 Sep 00:00
33Thu 26 Sep 03:00
36Thu 26 Sep 06:00
39Thu 26 Sep 09:00
42Thu 26 Sep 12:00
45Thu 26 Sep 15:00
48Thu 26 Sep 18:00
51Thu 26 Sep 21:00
54Fri 27 Sep 00:00
57Fri 27 Sep 03:00
60Fri 27 Sep 06:00
63Fri 27 Sep 09:00
66Fri 27 Sep 12:00
69Fri 27 Sep 15:00
72Fri 27 Sep 18:00
75Fri 27 Sep 21:00
78Sat 28 Sep 00:00
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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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