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Tuesday
23-04
7 mm
3.2 m/s
E
12°
7°
Predictability
62%
Wednesday
24-04
0 mm
2.3 m/s
W
21°
10°
Predictability
78%
Thursday
25-04
0 mm
1.4 m/s
S
18°
9°
Predictability
54%
Friday
26-04
0 mm
1.6 m/s
W
18°
7°
Predictability
76%
Saturday
27-04
0 mm
1.7 m/s
E
19°
7°
Predictability
80%
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00 - 08
Wind Speed (m/s)
1.27
Temperature min (°C)
7.3
Temperature Max (°C)
9.6
Relative Humidity (%)
94.38
Precipitation (mm)
0
Precipitation Risk (%)
13
Wind Direction
E
00
01
02
03
04
05
06
07
08 - 16
Wind Speed (m/s)
2.88
Temperature min (°C)
10.3
Temperature Max (°C)
11.8
Relative Humidity (%)
93.38
Precipitation (mm)
5
Precipitation Risk (%)
85
Wind Direction
E
08
09
10
11
12
13
14
15
16 - 24
Wind Speed (m/s)
2.93
Temperature min (°C)
9.1
Temperature Max (°C)
10.2
Relative Humidity (%)
96.25
Precipitation (mm)
1.7
Precipitation Risk (%)
78
Wind Direction
E
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