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.
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.
CFSThe 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.
ICONCurrently selected. 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.
JMAThe selected time, variable and region is available for this model. 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.
NAVGEMThe selected variable and region is available, but not for 2024-07-06, 18:00. You will switch back to the first available time step. NAVGEM is a model run by the NOAA and serves the US navy with weather forecasts. The WZ maps are based on data that is available from the NCEP server with a grid spacing of 0.5 degree and is updated twice daily (7 and 19 UTC).
UKMOThe selected variable and region is available, but not for 2024-07-06, 18:00. You will switch back to the first available time step. Model output from the United Kingdom Met Office (UKMO). Maps are updated twice daily around 6:45 und 18:45 UTC. Only basic pressure maps are available and forecast data ranges from day 3 to 6.
UKMO EUThe selected time, variable and region is available for this model.
Member:
OP
0Tue 02 Jul 18:00
1Tue 02 Jul 19:00
2Tue 02 Jul 20:00
3Tue 02 Jul 21:00
4Tue 02 Jul 22:00
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6Wed 03 Jul 00:00
7Wed 03 Jul 01:00
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54Fri 05 Jul 00:00
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72Fri 05 Jul 18:00
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76Fri 05 Jul 22:00
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78Sat 06 Jul 00:00
81Sat 06 Jul 03:00
84Sat 06 Jul 06:00
87Sat 06 Jul 09:00
90Sat 06 Jul 12:00
93Sat 06 Jul 15:00
96Sat 06 Jul 18:00
99Sat 06 Jul 21:00
102Sun 07 Jul 00:00
105Sun 07 Jul 03:00
108Sun 07 Jul 06:00
111Sun 07 Jul 09:00
114Sun 07 Jul 12:00
117Sun 07 Jul 15:00
120Sun 07 Jul 18:00
Run:
00 06 12 18
Interval
1 3 6 12 24
help Download GIF hover 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.

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