AIFSThe selected time, variable and region is available for this model. 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.
AROMEThe selected variable and region is available, but not for 2024-06-10, 18:00. You will switch back to the first available time step. 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.
ECMWFThe selected time, variable and region is available for this model. The European Centre for Medium-Range Weather Forecasts (ECMWF) creates forecasts for the upcoming 15 days and is a global leader in forecast skill. However, it offers only a small number of parameters for free. The 00Z and 12Z runs are coming in twice daily between 6 and 7 UTC and 18 and 19 UTC.
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 2024-06-10, 18:00. You will switch back to the first available time step.
HARMONIE (DMI)The selected variable and region is available, but not for 2024-06-10, 18:00. 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.
JMACurrently selected. The global weather forecast model of the Japanese weather service offers data up to 7 days into the future.
GCGFSThe selected time, variable and region is available for this model. The GraphCast Global Forecast System (GraphCastGFS) is an experimental system set up by the National Centers for Environmental Prediction (NCEP) to produce medium range global forecasts. The horizontal resolution is a 0.25 degree latitude-longitude grid (about 28 km). The model runs 4 times a day at 00Z, 06Z, 12Z and 18Z cycles. The products are 6 hourly forecasts up to 10 days. See more info here.
UKMO EUThe selected time, variable and region is available for this model.
Member:
OP
0Fri 07 Jun 00:00
6Fri 07 Jun 06:00
12Fri 07 Jun 12:00
18Fri 07 Jun 18:00
24Sat 08 Jun 00:00
30Sat 08 Jun 06:00
36Sat 08 Jun 12:00
42Sat 08 Jun 18:00
48Sun 09 Jun 00:00
54Sun 09 Jun 06:00
60Sun 09 Jun 12:00
66Sun 09 Jun 18:00
72Mon 10 Jun 00:00
78Mon 10 Jun 06:00
84Mon 10 Jun 12:00
90Mon 10 Jun 18:00
96Tue 11 Jun 00:00
102Tue 11 Jun 06:00
108Tue 11 Jun 12:00
114Tue 11 Jun 18:00
120Wed 12 Jun 00:00
126Wed 12 Jun 06:00
132Wed 12 Jun 12:00
144Thu 13 Jun 00:00
156Thu 13 Jun 12:00
168Fri 14 Jun 00:00
180Fri 14 Jun 12:00
192Sat 15 Jun 00:00
204Sat 15 Jun 12:00
216Sun 16 Jun 00:00
228Sun 16 Jun 12:00
240Mon 17 Jun 00:00
252Mon 17 Jun 12:00
264Tue 18 Jun 00:00
Run: Interval

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