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 2024-08-31, 06:00. 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 variable and region is available, but not for 2024-08-31, 06:00. 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.
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.
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.
HARMONIE (KNMI-EU)The selected variable and region is available, but not for 2024-08-31, 06:00. You will switch back to the first available time step. HARMONIE is developed in a european consortium and this is the output provided by the KNMI at the supercomputing facilities in Iceland. The output from Cy43 is available at a rotated lat-lon grid and regridded at our server to a grid spacing of 0.05 degree. These data are the raw data provided by the KNMI. The model is reinitialized every hour and run up to 60 hrs ahead.
HARMONIE (DMI)The selected variable and region is available, but not for 2024-08-31, 06:00. You will switch back to the first available time step.
ICONThe selected variable and region is available, but not for 2024-08-31, 06:00. You will switch back to the first available time step. 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.
IRIEThe selected time, variable and region is available for this model.
JMAThe selected variable and region is available, but not for 2024-08-31, 06:00. You will switch back to the first available time step. 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 PARA
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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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