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Saturday
27-04
0 mm
2.8 m/s
S
18°
10°
Sunday
28-04
0 mm
0.9 m/s
E
17°
10°
Monday
29-04
0 mm
2.3 m/s
E
18°
11°
Tuesday
30-04
0 mm
2.6 m/s
SW
18°
11°
Wednesday
01-05
4 mm
4.4 m/s
SW
18°
13°
Thursday
02-05
4 mm
4.5 m/s
SW
16°
13°
Friday
03-05
1 mm
2.9 m/s
SW
16°
13°
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
11.5
11.8
11.7
11.2
10.3
9.5
11.1
12.1
12.6
13.8
15.2
16.5
17
17.4
17.5
17.2
16.6
15.4
13.9
12
12
11.8
11.8
11.7
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
90
88
87
88
90
90
77
67
75
79
79
74
71
69
70
72
75
78
83
89
89
91
91
91
SW
SW
SW
SW
SW
SW
S
S
S
S
S
S
S
S
S
S
S
S
S
S
S
S
S
S
3.9
3.5
3.3
3.2
3.2
3.2
3.1
3
3
3.4
3.8
3.6
3.6
3.8
3.7
3.7
3.4
3
2.6
2
1.5
1
0.6
0.5
0
0
0
0
0
0
0
0
0
0.1
0.2
0.2
0.2
0.3
0.2
0.2
0.1
0.1
0
0
0
0
0
0
9
8.7
8.4
7.7
7.6
7.5
7.4
7.3
7.4
7.5
7.6
7.8
8
8.3
8.4
8.2
7.7
7.1
6.3
5.5
4.5
3.6
2.8
2.3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
74
75
71
65
71
70
70
70
66
44
62
63
69
68
73
68
73
74
69
70
44
42
42
44
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
10
9.7
9.3
8.8
8.1
7.3
6.4
8.4
10.3
11.7
12
11.9
11.8
12
12.2
12.2
11.7
11.1
10.3
10.4
10.4
10.4
10.3
15500
19100
21500
22000
23100
22900
23500
21500
19440
19430
20230
20030
19230
20820
21530
21530
22430
21430
19290
19280
19080
17480
17080
16680
1012.9
1013.3
1013.6
1014
1014.5
1015.1
1015.6
1016.6
1017.5
1018.4
1018.8
1019.1
1019.5
1019.6
1019.7
1019.9
1020.5
1021.1
1021.7
1022.2
1022.8
1023.4
1023.7
1024
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