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Saturday
27-04
0 mm
4 km/h
S
22°
4°
Predictability
88%
Sunday
28-04
0 mm
7.2 km/h
N
25°
9°
Predictability
84%
Monday
29-04
0 mm
6.1 km/h
S
24°
13°
Predictability
84%
Tuesday
30-04
0 mm
9.4 km/h
S
22°
9°
Predictability
75%
Wednesday
01-05
0 mm
11.2 km/h
E
19°
11°
Predictability
64%
Thursday
02-05
0 mm
11.2 km/h
E
20°
10°
Predictability
66%
Friday
03-05
0 mm
8.6 km/h
E
18°
11°
Predictability
54%
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
8.6
7.9
7.1
6.5
6
5.2
4.4
4.6
7
10.9
14.3
16.9
19.1
20.7
21.6
21.9
21.5
19.8
17.2
15
13.5
12.3
11.4
10.6
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
77
80
83
85
87
90
92
91
80
66
55
47
41
37
35
35
36
42
50
59
64
68
71
73
S
S
S
S
SE
SE
SE
SE
SE
SE
E
E
NE
N
N
N
N
N
SW
S
S
S
S
SE
6.1
5.8
5.8
5.4
5
5
4
4
3.2
4
2.9
2.2
1.8
2.9
3.6
4
3.6
0.7
3.6
4.7
5
5
5
5
0
0
0
0
0
0
0
0
0
0.1
0.3
0.4
0.4
0.4
0.4
0.3
0.2
0
0
0
0
0
0
0
16.2
16.6
17.3
17.3
16.6
15.8
14
13
11.9
12.2
11.5
9.7
9.7
9.4
9.4
9.4
9.4
9
7.2
8.6
9.7
11.2
12.2
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
8
4
2
0
1
1
4
3
0
0
0
0
0
0
0
0
17
18
0
0
0
0
25
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4.9
4.8
4.6
4.4
4.1
3.8
3.4
3.2
3.8
4.8
5.5
5.6
5.6
5.6
5.7
5.9
6.2
6.7
6.9
7.1
7
6.7
6.4
6.2
19530
17870
16030
14220
12630
11230
10230
9620
11620
16830
22830
27130
29930
32080
33830
35630
36230
36230
35230
33020
31020
29030
27030
25430
1024.7
1024.7
1024.8
1024.8
1024.8
1025.2
1025.6
1026
1026.4
1026.8
1027.2
1026.2
1025.2
1024.2
1023.7
1023.2
1022.8
1023.1
1023.5
1023.8
1024
1024.3
1024.5
1024.5
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