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Tuesday
23-06
0 mm
0.9 m/s
E
36°
23°
Wednesday
24-06
0 mm
1 m/s
NE
35°
24°
Thursday
25-06
0 mm
1.3 m/s
E
37°
24°
Friday
26-06
0 mm
0.9 m/s
SE
37°
24°
Saturday
27-06
0 mm
0.9 m/s
SE
37°
25°
Sunday
28-06
2 mm
1.3 m/s
SE
35°
25°
Monday
29-06
4 mm
1.3 m/s
N
33°
23°
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
27.8
26.51
25.56
24.82
24.2
23.63
23.18
23
23.13
23.86
25.35
27.7
30.25
32.41
33.8
34.85
35.56
35.66
35.59
35.26
35.16
33.78
32.17
30.62
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
1
2
4
4
2
0
1
1
49
53
57
59
62
65
67
68
69
67
62
54
45
38
33
29
28
27
27
28
29
32
36
41
SE
SE
E
E
E
SE
SE
SE
SE
SE
N
N
N
N
N
NW
N
E
E
E
E
E
E
E
0.59
0.5
0.57
0.66
0.67
0.62
0.52
0.33
0.28
0.36
0.57
0.76
0.94
1.05
1.22
1.48
1.68
1.76
1.78
1.74
1.51
1.14
0.89
0.7
0.01
0.01
0.01
0.01
0.01
0.01
0.02
0.04
0.14
0.26
0.39
0.52
0.62
0.67
0.73
0.73
0.65
0.52
0.39
0.35
0.23
0.11
0.06
0.02
3.02
3.05
2.47
2.82
2.82
2.85
2.61
2.27
2.08
2.13
2.63
2.45
3.62
4.21
5.6
4.27
4.63
5.03
6.73
7.05
6.99
5.99
3.73
2.91
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
13
8
30
12
4
0
0
0
0
0
0
20
26
2
22
31
57
68
52
19
19
14
24
35
9
8
10
8
7
7
7
7
7
8
9
12
13
11
11
11
14
16
16
10
10
9
12
13
16.16
16.3
16.67
16.48
16.63
16.68
16.8
16.96
17.25
17.56
17.73
17.67
17.23
16.54
15.54
14.32
14.32
14.04
14
14.07
14.48
15
15.49
16.03
19670
21070
21870
19470
16370
14180
13020
12630
13420
15630
18420
20820
23020
25420
33220
35620
36020
36620
37420
37620
36420
30220
23830
20660
1021.45
1021.42
1021.38
1021.32
1021.27
1021.21
1021.06
1020.92
1020.77
1020.61
1020.45
1020.29
1019.83
1019.36
1018.9
1018.43
1017.97
1017.5
1017.46
1017.42
1017.38
1017.78
1018.17
1018.57
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
