Laika prognoze
Izvēlieties savu atrašanās vietu, lai redzētu precīzus laika apstākļus
Pirmdien
17-08
7 mm
1.8 m/s
SW
19°
13°
Otrdiena
18-08
2 mm
1.2 m/s
N
19°
12°
Trešdien
19-08
0 mm
1.6 m/s
W
20°
11°
Ceturtdiena
20-08
4 mm
2.4 m/s
SW
20°
12°
Piektdiena
21-08
2 mm
2.1 m/s
SW
21°
11°
Sestdien
22-08
2 mm
1.6 m/s
W
21°
12°
Svētdien
23-08
0 mm
2.5 m/s
W
19°
12°
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Stundas
Miglošana
Maksimālā temperatūra (°C)
Nokrišņi (mm)
Nokrišņu iespējamība (%)
Relatīvais mitrums (%)
Vēja virziens
Vēja stiprums (km/h)
Reference Evapotranspiration
Vēja brāzmas (km / h)
Lietus risks (%)
Mākoņu sega (%)
Vētras varbūtība (%)
Rasas punkts (° C)
Redzamība (dKm)
Gaisa spiediens (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
U
U
U
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
16.28
15.89
15.41
14.69
13.8
13
13.06
13.39
13.83
14.89
16.28
17.83
18.78
19.22
18.61
18
16.28
15.89
15.56
16.33
15.58
14.96
14.31
13.86
0
0
0
0
0
0
0
0
0
0
0
0
0
0.2
0.2
1.3
0.8
1.3
0.8
1.1
0.4
0.4
0.1
0
0
0
0
0
0
0
0
0
0
0
0
0
16
44
74
89
89
90
89
85
71
54
38
28
77
81
86
92
97
100
100
100
99
96
88
80
75
74
75
76
83
88
93
91
95
98
100
100
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
W
W
SW
W
W
SW
W
SW
SW
2.4
2.56
2.37
2.22
1.69
1.77
1.78
1.88
2.11
2.19
2.31
2.11
2.27
2.49
2.66
2.14
1.94
1.8
1.5
1.12
1.2
1.01
0.89
0.85
0.02
0.02
0.01
0
0
0
0
0
0.02
0.09
0.14
0.26
0.29
0.26
0.27
0.23
0.12
0.1
0.11
0.08
0.05
0.01
0
0
6.43
6.5
6.21
6
5.18
4.74
4.45
5.03
6.05
6.8
7.11
7.23
7.3
7.3
6.95
6.25
6.09
5.4
5.03
4.35
3.62
3.28
2.99
2.82
0
0
0
0
0
0
0
0
0
0
0
0
0
44
74
89
89
90
89
85
71
54
38
0
94
58
87
65
27
11
94
94
94
94
93
94
94
94
94
94
94
94
94
78
100
99
82
62
0
0
0
0
0
0
0
0
0
0
2
5
18
24
33
42
33
27
25
20
21
21
15
10
12.4
12.73
13.16
13.43
13.43
13
13.05
13.39
13.79
14.34
14.34
14.34
14.4
14.62
14.28
13.9
13.45
14.06
14.45
15.01
14.91
14.71
14.31
13.86
12870
10460
9660
260
2710
360
60
20
10020
10220
11820
14820
18620
22010
20410
13610
15820
16220
17420
17810
16810
14820
12230
10860
1006.7
1006.62
1006.55
1006.47
1006.53
1006.59
1006.65
1006.53
1006.41
1006.29
1006.12
1005.95
1005.78
1006.07
1006.37
1006.66
1006.53
1006.39
1006.26
1006.11
1005.97
1005.82
1005.54
1005.25
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 nodrošina meteoblue