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Lørdag
27-04
0 mm
1.7 m/s
E
11°
2°
Predictability
63%
Søndag
28-04
2 mm
2.9 m/s
SE
17°
7°
Predictability
50%
Mandag
29-04
0 mm
2.6 m/s
SW
14°
8°
Predictability
77%
Tirsdag
30-04
0 mm
3.2 m/s
E
16°
8°
Predictability
71%
Onsdag
01-05
0 mm
3.6 m/s
E
20°
9°
Predictability
72%
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00 - 08
Temperatur min (° C)
2.1
Temperatur max (° C)
4.1
Nedbør (mm)
0
Nedbørsrisiko (%)
0
Relativ luftfugtighed (%)
94.63
Vindretning
N
Vindhastighed (m/s)
0.31
00
01
02
03
04
05
06
07
08 - 16
Temperatur min (° C)
5.3
Temperatur max (° C)
11.2
Nedbør (mm)
0
Nedbørsrisiko (%)
0
Relativ luftfugtighed (%)
72.25
Vindretning
S
Vindhastighed (m/s)
1.27
08
09
10
11
12
13
14
15
16 - 24
Temperatur min (° C)
7.5
Temperatur max (° C)
11.2
Nedbør (mm)
0.4
Nedbørsrisiko (%)
68
Relativ luftfugtighed (%)
81.63
Vindretning
E
Vindhastighed (m/s)
2.19
16
17
18
19
20
21
22
23
Varsling for sprøjteforhold
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.
Prognosen er leveret af meteoblue