On Thursday it will be cloudy, but mostly dry.
Morning temperatures will be around 10 °C. During the day they will reach a maximum of 15 °C.
Low temperatures at night will be around 5°C.
Initially we have brisk northerly wind, during the night winds will be light.
Tomorrow
On Friday it will be cloudy, but mostly dry until noon. The noon will bring cloudy, but mostly dry weather. In the evening clear weather, apart from scattered clouds will prevail.
Morning temperatures will be around 5 °C. During the day they will reach a maximum of 12 °C.
Low temperatures at night will be around 8°C.
We have weak westerly winds.
Colder or warmer, wetter or more windy? Discover the trend for the next 2 weeks
15-Day Outlook
+ Temperatures (°C)
The Ensemble-diagram shows the temperature trend for the next two weeks. The black line indicates the most likely temperature sequence, whereas the blue and red lines represent the coldest and the warmest trend, respectively. The general rule is that the wider the distribution of the diagram (grey area), the lower the reliability of the forecast. Due to the fact that the model output temperatures used in this diagram do not exactly represent geographic location and height, temperature differences in comparison to the detailed forecast may occur. Thus, the 15-day outlook allows only a qualitative estimate of temperature development and forecast uncertainty.
+ Wind (km/h)
The Ensemble-diagram shows the wind trend for the next two weeks. The black line indicates the most likely wind sequence, whereas the blue and yellow lines represent extreme values. The general rule is that the wider the distribution of the diagram (grey area), the lower the reliability of the forecast.
+ Precipitation (l/m²)
The Ensemble-diagram shows the precipitation trend for the next two weeks. The black line indicates the most likely precipitation sequence, whereas the green and brown lines represent the wettest and the driest trend, respectively. The general rule is that the wider the distribution of the diagram (grey area), the lower the reliability of the forecast.
