CPTECThe selected variable and region is available, but not for 2019-10-13, 00:00. You will switch back to the first available time step. BAM (Brazilian Atmospheric Model) is the global atmospheric model of the Center for Weather Forecasting and Climate Research [Centro de Previsao de Tempo e Estudos Climaticos (CPTEC)] from Brazil. It is run twice daily at 0 and 12 UTC.
ECMWFCurrently selected. 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 variable and region is available, but not for 2019-10-13, 00:00. You will switch back to the first available time step. GEM is the global forecast model of the Canadian weather service and computes 10 day forecasts.
GFSThe selected variable and region is available, but not for 2019-10-13, 00:00. You will switch back to the first available time step. 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.
UKMOThe selected variable and region is available, but not for 2019-10-13, 00:00. 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.
Member:
OP AVG SPR
0Sun 13 Oct 00:00
24Mon 14 Oct 00:00
48Tue 15 Oct 00:00
72Wed 16 Oct 00:00
96Thu 17 Oct 00:00
120Fri 18 Oct 00:00
144Sat 19 Oct 00:00
168Sun 20 Oct 00:00
192Mon 21 Oct 00:00
216Tue 22 Oct 00:00
240Wed 23 Oct 00:00
Run:
00 12
Interval
help 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.

URL of this map