Weather forecast Switzerland
The table below shows the progonose values of
COSMO-2E.
Temperature unit: °C
| Date, time | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| Mi, 10.09., 12:00 | 14.4 | 14.1 | 14.3 | 13.8 | 14.5 | 14.6 | 13.5 | 14.6 | 14.7 | 14.1 | 14.5 | 14.4 | 15.2 | 14.7 | 14.2 | 14.5 | 14.7 | 14.5 | 14.4 | 14.7 | 14.0 |
| 18:00 | 13.8 | 13.7 | 12.8 | 13.0 | 12.6 | 14.3 | 11.9 | 13.0 | 13.9 | 12.5 | 12.9 | 13.9 | 12.2 | 13.8 | 13.3 | 13.0 | 13.7 | 12.9 | 12.2 | 13.7 | 12.1 |
| Do, 11.09., 00:00 | 11.8 | 10.7 | 11.7 | 12.1 | 12.7 | 11.3 | 11.3 | 11.9 | 11.6 | 12.0 | 12.4 | 11.3 | 11.8 | 12.3 | 11.8 | 11.3 | 12.2 | 11.2 | 11.8 | 11.8 | 12.0 |
| 06:00 | 12.1 | 12.0 | 11.7 | 12.0 | 11.6 | 11.6 | 11.8 | 11.3 | 12.1 | 11.1 | 11.8 | 12.1 | 11.7 | 11.8 | 12.1 | 11.9 | 12.2 | 11.7 | 12.2 | 11.9 | 11.5 |
| 12:00 | 14.7 | 14.5 | 14.8 | 14.4 | 14.4 | 14.4 | 14.3 | 14.3 | 14.5 | 15.3 | 14.9 | 14.8 | 15.1 | 13.8 | 14.5 | 14.9 | 14.8 | 14.7 | 15.0 | 14.6 | 14.4 |
| 18:00 | 12.1 | 12.1 | 12.0 | 12.4 | 11.9 | 11.3 | 12.8 | 12.4 | 12.1 | 12.6 | 12.0 | 12.1 | 12.0 | 12.3 | 12.3 | 12.3 | 12.6 | 12.2 | 12.9 | 12.9 | 12.2 |
| Fr, 12.09., 00:00 | 10.0 | 11.7 | 10.6 | 10.9 | 11.4 | 9.4 | 12.3 | 11.3 | 12.3 | 12.1 | 8.6 | 11.6 | 9.7 | 11.6 | 10.5 | 10.8 | 11.2 | 10.5 | 12.4 | 11.4 | 10.2 |
| 06:00 | 11.5 | 11.0 | 9.8 | 10.6 | 11.4 | 11.4 | 10.4 | 9.8 | 11.4 | 10.5 | 11.2 | 11.1 | 10.6 | 10.5 | 11.8 | 11.6 | 11.1 | 11.2 | 11.6 | 8.8 | 11.3 |
| 12:00 | 14.3 | 14.7 | 17.0 | 13.8 | 14.1 | 14.6 | 14.8 | 14.8 | 13.7 | 14.1 | 13.8 | 13.5 | 17.5 | 13.9 | 14.3 | 14.4 | 14.3 | 15.8 | 15.3 | 13.5 | 14.7 |
| 18:00 | 12.3 | 12.1 | 13.6 | 10.0 | 11.7 | 11.9 | 12.1 | 12.9 | 11.3 | 11.2 | 11.8 | 10.7 | 12.2 | 10.6 | 11.0 | 11.1 | 11.9 | 11.8 | 11.9 | 11.6 | 12.3 |
| Sa, 13.09., 00:00 | 6.9 | 7.4 | 11.7 | 6.4 | 7.9 | 7.1 | 6.6 | 8.8 | 6.2 | 7.3 | 7.4 | 6.7 | 10.5 | 6.2 | 6.7 | 7.8 | 9.3 | 10.4 | 8.0 | 8.1 | 7.3 |
| 06:00 | 7.5 | 7.6 | 12.3 | 7.7 | 8.4 | 8.1 | 7.2 | 9.8 | 5.6 | 7.6 | 7.7 | 7.7 | 10.9 | 6.6 | 7.8 | 8.4 | 9.9 | 9.6 | 8.2 | 8.3 | 7.4 |
| 12:00 | 14.8 | 15.8 | 15.0 | 15.1 | 13.9 | 15.0 | 14.8 | 12.0 | 14.4 | 16.1 | 15.7 | 15.9 | 11.8 | 16.1 | 16.2 | 16.5 | 13.9 | 14.8 | 12.3 | 17.0 | 14.4 |
| 18:00 | 10.9 | 11.6 | 10.9 | 11.9 | 10.7 | 12.0 | 12.2 | 11.5 | 12.2 | 10.4 | 11.8 | 12.4 | 12.0 | 12.7 | 12.7 | 12.3 | 11.7 | 11.9 | 11.8 | 12.1 | 11.5 |
| So, 14.09., 00:00 | 10.9 | 10.8 | 10.0 | 12.4 | 10.3 | 8.5 | 11.9 | 9.6 | 12.0 | 11.5 | 11.0 | 12.3 | 10.1 | 11.3 | 10.0 | 13.0 | 13.0 | 10.4 | 9.9 | 10.6 | 8.7 |
| 06:00 | 10.1 | 8.6 | 8.6 | 10.3 | 8.8 | 7.9 | 10.7 | 8.5 | 12.2 | 11.0 | 13.7 | 10.5 | 8.8 | 10.3 | 10.6 | 10.5 | 13.6 | 7.8 | 8.1 | 8.4 | 8.9 |
| 12:00 | 16.2 | 15.2 | 14.7 | 17.0 | 14.4 | 17.9 | 17.0 | 15.2 | 19.3 | 14.5 | 18.5 | 16.2 | 14.6 | 19.5 | 21.0 | 12.5 | 14.5 | 18.6 | 12.4 | 15.6 | 10.9 |
| 18:00 | 12.6 | 11.5 | 11.7 | 14.4 | 11.7 | 14.0 | 15.1 | 12.6 | 17.5 | 12.6 | 15.0 | 15.4 | 12.1 | 16.6 | 18.0 | 8.3 | 16.3 | 17.4 | 9.3 | 13.5 | 8.8 |
| Mo, 15.09., 00:00 | 9.7 | 8.3 | 7.7 | 15.8 | 7.6 | 11.5 | 15.3 | 9.4 | 16.1 | 8.7 | 12.2 | 15.7 | 9.7 | 14.9 | 16.4 | 5.2 | 15.3 | 17.4 | 5.8 | 11.4 | 4.5 |
| 06:00 | 14.4 | 11.9 | 8.0 | 15.6 | 8.0 | 11.6 | 15.6 | 9.6 | 14.6 | 9.4 | 11.9 | 14.7 | 11.3 | 12.0 | 11.6 | 7.0 | 14.3 | 12.4 | 7.2 | 14.5 | 6.0 |
| 12:00 | 20.3 | 19.8 | 19.3 | 21.3 | 19.0 | 21.9 | 16.5 | 19.6 | 21.3 | 21.7 | 22.9 | 20.0 | 20.6 | 20.9 | 20.7 | 19.0 | 20.6 | 14.9 | 16.8 | 20.4 | 17.3 |
Source of the data: MeteoSwiss
According to MeteoSwiss, the COSMO-2E consists of an ensemble of 21 slightly different but equally probable forecasts calculated four times a day. The data set contains COSMO-2E ensemble forecasts for the locations of the automatic weather stations in six-hour resolution: temperature, precipitation, wind speed, wind direction, relative humidity and sunshine duration.
MeteoSwiss makes the data from COSMO-2E available free of charge for non-commercial use.
We use the table above as a supplement to the conventional weather reports. The colouring of different sizes makes it possible to determine the trend at a glance.