正確な天気を表示するため、場所を選択してください。
金曜日
19-04
5 mm
2.9 m/s
W
11°
3°
土曜日
20-04
8 mm
1.8 m/s
W
9°
3°
日曜日
21-04
10 mm
1.7 m/s
N
8°
3°
月曜日
22-04
1 mm
1.9 m/s
N
9°
1°
火曜日
23-04
1 mm
2 m/s
N
11°
1°
00 - 08
Temperature min (°C)
2.6
Temperature Max (°C)
5.5
Precipitation (mm)
0
Precipitation Risk (%)
6
Relative Humidity (%)
85.5
Wind Direction
S
Wind Speed (km/h)
0.74
08 - 16
Temperature min (°C)
6.7
Temperature Max (°C)
11
Precipitation (mm)
0.2
Precipitation Risk (%)
32
Relative Humidity (%)
58.5
Wind Direction
SW
Wind Speed (km/h)
2.96
16 - 24
Temperature min (°C)
5.9
Temperature Max (°C)
10.2
Precipitation (mm)
4.3
Precipitation Risk (%)
97
Relative Humidity (%)
76
Wind Direction
W
Wind Speed (km/h)
2.8
Colours Legends
Spray
Night
Day
Recommended
Limited
Not Advisable
Restrictions Legends
A
Leaf Surface too wet
R
Rain
V
Windy
D
Temperature too High
T
Temperature too Low
X
Multiple Risks
F
Evaporation Risk
U
Risk of Wind'
Meteoblue Forecast
The Forecast is provided by meteoblue using their meteoblue learning multimodel (mLM) & numerical forecast models.
The meteoblue learning multimodel (mLM) is a new technique of post-processing the output from numerical weather forecast models using actual weather measurements.
The mLM reads actual weather measurement data and selects the best simulation model for making a forecast. The mLM is currently validated and implemented for air temperature, dewpoint temperature and wind speed. For other variables, they use multi models.
Forecast provided by meteoblue