Orų prognozė
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Trečiadienis
30-09
0 mm
0.9 m/s
E
19°
11°
Ketvirtadienis
01-10
0 mm
1.4 m/s
E
19°
11°
Penktadienis
02-10
0 mm
1 m/s
SW
19°
9°
Šeštadienis
03-10
0 mm
1.6 m/s
SW
19°
7°
Sekmadienis
04-10
0 mm
1.6 m/s
SW
18°
11°
Pirmadienis
05-10
2 mm
1.9 m/s
W
15°
10°
Antradienis
06-10
0 mm
1.9 m/s
NW
16°
11°
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
12.88
12.57
12.26
12.06
11.85
11.65
11.37
11.33
11.69
12.69
14.18
15.56
16.83
17.81
18.55
18.92
18.91
18.47
17.57
16.25
15.1
14.26
13.64
13.03
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
0
2
25
3
5
3
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
80
79
79
78
78
78
80
81
81
78
73
70
67
65
63
63
64
67
71
76
80
83
86
89
SW
SW
SW
SW
SW
SE
SE
SE
SE
SW
SW
SW
SE
SE
SE
SE
SE
E
E
E
E
E
E
E
1.11
0.96
0.95
0.64
0.72
0.66
0.72
0.75
0.74
0.58
0.88
1.03
1
0.86
0.94
0.98
0.99
1.08
1.24
1.22
1.14
1.18
1.13
1.1
0
0
0
0
0
0
0
0
0.01
0.03
0.11
0.17
0.2
0.23
0.24
0.22
0.17
0.13
0.07
0.03
0
0
0
0
2.95
2.87
2.66
2.4
2.24
2.07
1.85
1.65
1.52
1.6
1.8
2.56
2.71
2.64
2.72
2.63
2.53
2.8
3.08
2.98
2.9
2.75
2.85
2.86
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
94
94
93
92
94
94
94
92
94
83
94
94
94
75
84
71
87
87
95
100
100
100
99
98
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9.55
9.14
8.76
8.48
8.25
8.13
8.11
8.24
8.57
9.06
9.56
10.23
10.81
11.21
11.54
11.83
12.12
12.35
12.43
12.19
11.84
11.57
11.43
11.32
15660
15060
14260
13860
14510
14660
14510
14260
13020
14020
18220
21020
24220
26620
28220
29020
29020
28610
27610
25010
22220
19260
17260
16260
1033.72
1033.87
1034.01
1034.16
1034.26
1034.37
1034.47
1034.66
1034.84
1035.03
1035.29
1035.55
1035.81
1035.56
1035.31
1035.06
1034.95
1034.85
1034.74
1034.82
1034.91
1034.99
1035.22
1035.45
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