AIFSThe selected variable and region is available, but not for 2024-05-28, 15:00. You will switch back to the first available time step. 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.
ARPEGEThe selected variable and region is available, but not for 2024-05-28, 15:00. 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.
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.
0Fri 17 May 18:00
12Sat 18 May 06:00
24Sat 18 May 18:00
36Sun 19 May 06:00
48Sun 19 May 18:00
60Mon 20 May 06:00
72Mon 20 May 18:00
84Tue 21 May 06:00
96Tue 21 May 18:00
108Wed 22 May 06:00
120Wed 22 May 18:00
132Thu 23 May 06:00
144Thu 23 May 18:00
156Fri 24 May 06:00
168Fri 24 May 18:00
180Sat 25 May 06:00
192Sat 25 May 18:00
204Sun 26 May 06:00
216Sun 26 May 18:00
228Mon 27 May 06:00
240Mon 27 May 18:00
252Tue 28 May 06:00
264Tue 28 May 18:00
276Wed 29 May 06:00
288Wed 29 May 18:00
300Thu 30 May 06:00
312Thu 30 May 18:00
324Fri 31 May 06:00
336Fri 31 May 18:00
348Sat 1 Jun 06:00
360Sat 1 Jun 18:00
372Sun 2 Jun 06:00
384Sun 2 Jun 18:00
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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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