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Wednesday
09-10
0 mm
7.8 km/h
E
23°
3°
Predictability
89%
Thursday
10-10
0 mm
7.8 km/h
NE
28°
9°
Predictability
83%
Friday
11-10
0 mm
12.4 km/h
SW
24°
8°
Predictability
79%
Saturday
12-10
0 mm
10.8 km/h
SE
26°
6°
Predictability
84%
Sunday
13-10
0 mm
10.5 km/h
NE
27°
11°
Predictability
66%
Monday
14-10
0 mm
7.6 km/h
W
28°
14°
Predictability
37%
Tuesday
15-10
1 mm
5.4 km/h
NE
25°
15°
Predictability
27%
Hours
Spray
Temperature Max (°C)
Precipitation (mm)
Precipitation Risk (%)
Relative Humidity (%)
Wind Direction
Wind Speed (km/h)
Reference Evapotranspiration
Wind Gusts (km/h)
Shower Risk (%)
Cloud Cover (%)
Probability of Storms (%)
Dewpoint (°C)
Visibility (dKm)
Air Pressure (hPa)
00
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
8.4
7.3
6.2
5
4
3.5
3.3
3.7
6.4
10.2
14.3
17.6
19.7
21.2
22.3
23
23.3
22.9
21.8
19.6
17.5
15.8
14.2
12.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
60
66
73
79
84
88
90
89
78
67
57
50
45
41
37
35
33
32
35
41
47
53
59
65
SW
SW
SW
SW
SW
SW
SW
SE
SE
E
E
NE
NE
NE
E
E
E
E
E
E
E
E
E
E
10.8
9.2
8.4
7.8
7.8
7.6
6.8
6.2
6.8
9.7
11.3
11.3
10.5
9.4
8.6
8.1
8.1
8.4
8.6
6.5
5.7
5.7
5.7
6.5
0
0
0
0
0
0
0
0
0
0.2
0.3
0.4
0.5
0.6
0.6
0.6
0.5
0.4
0.3
0.1
0.1
0
0
0
28.4
27.7
28.1
25.9
23.8
20.9
20.5
17.6
20.9
22.3
22.7
24.1
23.4
21.6
19.8
19.4
19.1
19.1
18.4
15.1
14.4
16.2
18.7
19.8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
38
45
47
38
36
30
24
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1.2
1.5
1.7
1.8
1.7
1.7
1.9
2.2
2.9
4.4
6
7.1
7.5
7.5
7.3
6.8
6.2
5.8
5.8
6.3
6.3
6.4
6.4
6.3
29330
24330
19480
15440
12840
10830
10030
10030
12830
15630
18030
20630
23240
26030
29030
32430
33630
34420
35220
33620
30630
27830
24630
20630
1023.45
1023.38
1023.3
1023.25
1023.21
1023.16
1023.6
1024.05
1024.49
1024.37
1024.24
1024.12
1023.09
1022.07
1021.04
1020.29
1019.53
1018.78
1019.11
1019.43
1019.76
1020.02
1020.29
1020.55
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