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Sunday
05-07
0 mm
1 m/s
NW
26°
16°
Predictability
77%
Monday
06-07
0 mm
1.5 m/s
NW
28°
16°
Predictability
81%
Tuesday
07-07
1 mm
1.6 m/s
W
28°
17°
Predictability
55%
Wednesday
08-07
1 mm
3.1 m/s
W
30°
17°
Predictability
54%
Thursday
09-07
0 mm
2.7 m/s
NW
26°
16°
Predictability
46%
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00 - 08
Wind Speed (m/s)
0.85
Temperature min (°C)
16.35
Temperature Max (°C)
21.73
Relative Humidity (%)
75.38
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
NW
00
01
02
03
04
05
06
07
08 - 16
Wind Speed (m/s)
0.93
Temperature min (°C)
23.18
Temperature Max (°C)
26.27
Relative Humidity (%)
49.62
Precipitation (mm)
0
Precipitation Risk (%)
5
Wind Direction
N
08
09
10
11
12
13
14
15
16 - 24
Wind Speed (m/s)
2.1
Temperature min (°C)
19.11
Temperature Max (°C)
26.18
Relative Humidity (%)
53.88
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
N
16
17
18
19
20
21
22
23
Въздушно пръскане
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