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Sunday
19-07
1 mm
1.4 m/s
N
26°
20°
Monday
20-07
0 mm
1.5 m/s
N
26°
17°
Tuesday
21-07
0 mm
1.5 m/s
N
26°
15°
Wednesday
22-07
0 mm
1.1 m/s
N
28°
16°
Thursday
23-07
0 mm
1.5 m/s
N
28°
18°
Friday
24-07
0 mm
1.1 m/s
N
27°
16°
Saturday
25-07
0 mm
1.1 m/s
W
29°
16°
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
25.49
24.94
24.37
23.7
22.84
21.88
21
20.38
20.2
19.97
19.63
20.94
22.19
23.27
24.2
25.02
25.51
25.46
24.94
24.36
23.73
22.98
21.98
20.94
0
0
0
0
0
0
0
0
0
0.27
0.5
0
0
0
0
0
0
0
0
0
0
0
0
0
15
11
5
0
0
1
5
13
24
65
65
29
27
24
19
11
3
1
0
0
0
0
0
0
49
50
53
54
57
60
64
67
68
69
70
63
57
53
49
45
43
41
41
40
40
41
43
45
SW
SE
SW
SW
SW
W
NW
W
W
W
N
NW
NW
N
N
N
N
N
N
N
N
N
NW
NW
0.98
0.99
0.73
0.59
0.58
0.6
0.69
0.86
1.12
1.28
1.47
1.63
1.79
1.91
1.97
2.06
2.16
2.17
2.11
2.01
1.88
1.54
1.19
0.91
0.03
0.03
0.01
0.01
0.01
0.01
0.01
0.03
0.08
0.12
0.23
0.4
0.41
0.48
0.52
0.52
0.51
0.46
0.34
0.26
0.17
0.09
0.07
0.02
3.29
3.78
2.96
2.63
1.75
1.38
1.97
2.97
3.85
4.8
6.21
6.26
6.33
6.94
7.48
7.73
7.98
8.02
8.08
7.85
6.77
5.5
4.1
2.42
0
0
0
0
0
0
0
0
0
65
65
0
0
0
0
0
0
0
0
0
0
0
0
0
63
90
74
4
5
7
90
90
90
90
50
56
41
42
34
26
32
34
30
30
81
71
38
35
21
19
13
5
5
4
10
17
26
50
38
32
30
26
21
13
6
3
1
0
0
0
0
0
14.03
13.85
14.17
14.12
13.95
13.9
14.05
14.13
14.16
14.16
14.03
13.82
13.53
13.29
12.84
12.44
12.09
11.57
10.87
10.23
9.56
9.23
8.97
8.8
24050
20060
17860
15250
14350
12930
10830
10620
13420
13820
16020
17220
18020
19810
22610
25810
27610
28810
29410
30210
31010
30620
27030
22660
1015.66
1015.75
1015.84
1015.77
1015.7
1015.63
1016.18
1016.72
1017.27
1017.49
1017.71
1017.93
1017.81
1017.7
1017.58
1017.53
1017.49
1017.44
1017.53
1017.61
1017.7
1018.25
1018.81
1019.36
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