Orų prognozė
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Sekmadienis
16-08
0 mm
2.8 m/s
W
24°
13°
Pirmadienis
17-08
0 mm
2.3 m/s
W
21°
12°
Antradienis
18-08
1 mm
1.8 m/s
W
19°
13°
Trečiadienis
19-08
1 mm
2.3 m/s
W
20°
12°
Ketvirtadienis
20-08
1 mm
2.9 m/s
SW
23°
13°
Penktadienis
21-08
0 mm
1.1 m/s
N
22°
12°
Šeštadienis
22-08
2 mm
3 m/s
SW
22°
14°
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
18.2
17.65
17.24
17.04
17.14
17.27
17.62
18.36
19.27
20.4
21.2
22.15
23.2
23.54
23.78
23.66
22.98
22.13
21.23
20.16
18.75
17.09
15.44
14.16
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
0
0
0
0
0
0
0
0
0
0
0
25
3
6
6
3
0
0
0
0
0
0
66
67
68
68
67
65
62
59
57
56
58
59
56
52
47
45
46
49
52
55
59
66
74
81
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
W
W
W
W
W
W
W
W
W
1.63
1.66
1.78
1.86
1.89
2.23
1.83
1.95
1.97
2.53
2.57
2.11
3.05
3.91
3.94
4.35
4.39
3.71
3.8
4.06
3.67
3.05
2.32
2.06
0.03
0.03
0.03
0.03
0.03
0.04
0.04
0.06
0.1
0.14
0.18
0.15
0.2
0.25
0.31
0.36
0.38
0.3
0.24
0.19
0.12
0.07
0.03
0.01
4.48
4.75
5.4
5.95
5.83
5.4
5.48
5.76
6.39
6.65
6.57
6.59
7.48
8.95
9.36
10.56
10.25
9.24
8.92
9.1
8.94
8.52
7.2
6.07
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
30
30
94
94
94
94
78
100
92
100
99
100
89
96
54
85
99
90
100
59
44
50
35
1
0
0
1
1
1
1
2
4
4
5
6
7
27
8
0
0
4
0
0
0
0
0
0
11.9
11.63
11.45
11.3
11.1
10.68
10.35
10.41
10.73
11.52
12.71
14
13.99
13.34
12.02
11.2
10.86
11.04
11.24
10.99
10.79
10.7
10.88
11
18850
17660
15460
13460
13260
16860
21260
23820
25020
22820
20420
22620
31820
32410
35610
34820
35210
31610
30010
30410
26410
21610
16030
12660
1012.12
1011.82
1011.51
1011.21
1010.8
1010.39
1009.98
1009.72
1009.47
1009.21
1009.2
1009.2
1009.19
1009.19
1009.2
1009.2
1009.43
1009.67
1009.9
1010.02
1010.13
1010.25
1010.15
1010.05
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