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Saturday
27-04
18 mm
11.5 km/h
NE
12°
6°
Predictability
57%
Sunday
28-04
10 mm
11.5 km/h
SW
11°
8°
Predictability
36%
Monday
29-04
0 mm
10.4 km/h
S
14°
7°
Predictability
80%
Tuesday
30-04
0 mm
9.4 km/h
S
18°
9°
Predictability
64%
Wednesday
01-05
3 mm
6.1 km/h
S
19°
11°
Predictability
38%
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00 - 08
Temperature min (°C)
5.7
Temperature Max (°C)
8
Precipitation (mm)
9.9
Precipitation Risk (%)
98
Relative Humidity (%)
88.88
Wind Direction
NE
Wind Speed (km/h)
8.5
00
01
02
03
04
05
06
07
08 - 16
Temperature min (°C)
6.1
Temperature Max (°C)
11.5
Precipitation (mm)
0
Precipitation Risk (%)
65
Relative Humidity (%)
88.13
Wind Direction
E
Wind Speed (km/h)
8.5
08
09
10
11
12
13
14
15
16 - 24
Temperature min (°C)
9.9
Temperature Max (°C)
11.1
Precipitation (mm)
7.6
Precipitation Risk (%)
97
Relative Humidity (%)
88.88
Wind Direction
NE
Wind Speed (km/h)
9.4
16
17
18
19
20
21
22
23
Ground Spray Herbicide LD
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