Orų prognozė
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Sekmadienis
15-11
0 mm
3.6 m/s
SW
6°
2°
Pirmadienis
16-11
1 mm
4.4 m/s
SW
6°
1°
Antradienis
17-11
3 mm
2.5 m/s
SW
6°
3°
Trečiadienis
18-11
5 mm
1.1 m/s
SE
7°
3°
Ketvirtadienis
19-11
1 mm
1.5 m/s
SW
7°
5°
Penktadienis
20-11
2 mm
1.1 m/s
SW
4°
2°
Šeštadienis
21-11
8 mm
1.9 m/s
NW
4°
2°
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Valandos
Purškimas
Temperatūra Max (°C)
Krituliai (mm)
Kritulių rizika (%)
Santykinis drėgnumas (%)
Vėjo kryptis
Vėjo greitis (km/val.)
Reference Evapotranspiration
Vėjo gūsiai (km/val.)
Liūčių rizika (%)
Debesuotumas (%)
Audrų tikimybė (%)
Rasos taškas (° C)
Matomumas (dKm)
Oro slėgis (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
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
5.23
5.58
5.82
5.89
5.73
5.42
5.01
4.67
4.53
4.6
4.81
5.12
5.53
5.77
5.78
5.3
4.85
4.27
3.95
3.67
3.5
3.31
3.01
2.68
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
5
6
6
5
5
5
0
5
5
5
0
0
0
0
0
0
0
0
0
0
0
0
0
90
90
90
89
88
89
90
90
89
87
84
81
78
76
76
78
80
82
82
82
80
79
79
79
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
3.22
3.21
3.33
3.36
3.28
3.45
3.35
3.47
3.39
3.29
3.72
3.74
3.66
3.62
3.82
3.55
3.19
3.01
3.34
3.74
3.9
4
4.13
4.07
0
0
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.02
0.04
0.06
0.07
0.08
0.07
0.05
0.03
0.02
0.01
0.02
0.02
0.02
0.02
0.02
7.54
7.46
7.43
7.77
7.94
8.08
8.14
8.18
8.58
8.69
9.61
9.46
9.53
9.53
9.52
8.67
8.16
7.7
8.25
8.89
9.35
9.61
9.81
9.83
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
82
82
81
79
91
82
87
76
75
77
84
78
48
33
40
39
31
14
0
5
26
2
6
10
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3.83
4.16
4.33
4.25
4.06
3.8
3.52
3.24
2.95
2.68
2.35
2.16
2.07
2.03
1.96
1.82
1.72
1.59
1.32
0.96
0.49
0.07
-0.25
-0.46
1060
460
260
260
460
460
450
460
610
8410
9410
10210
12820
14220
15020
15420
14420
12220
11620
12050
13260
13650
12850
11860
1017.06
1017.68
1018.29
1018.59
1018.88
1019.18
1019.62
1020.05
1020.49
1020.7
1020.92
1021.13
1020.65
1020.18
1019.7
1019.13
1018.55
1017.98
1017.56
1017.14
1016.72
1015.99
1015.27
1014.54
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.
Prognozes teikia meteoblue