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.
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.
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.
Member:
OP PARA
0Wed 19 Jun 00:00
12Wed 19 Jun 12:00
24Thu 20 Jun 00:00
36Thu 20 Jun 12:00
48Fri 21 Jun 00:00
60Fri 21 Jun 12:00
72Sat 22 Jun 00:00
84Sat 22 Jun 12:00
96Sun 23 Jun 00:00
108Sun 23 Jun 12:00
120Mon 24 Jun 00:00
132Mon 24 Jun 12:00
144Tue 25 Jun 00:00
156Tue 25 Jun 12:00
168Wed 26 Jun 00:00
180Wed 26 Jun 12:00
192Thu 27 Jun 00:00
204Thu 27 Jun 12:00
216Fri 28 Jun 00:00
228Fri 28 Jun 12:00
240Sat 29 Jun 00:00
252Sat 29 Jun 12:00
264Sun 30 Jun 00:00
276Sun 30 Jun 12:00
288Mon 01 Jul 00:00
300Mon 01 Jul 12:00
312Tue 02 Jul 00:00
324Tue 02 Jul 12:00
336Wed 03 Jul 00:00
348Wed 03 Jul 12:00
360Thu 04 Jul 00:00
372Thu 04 Jul 12:00
384Fri 05 Jul 00:00
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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