Doğru hava durumunu görmek için konumuzunuzu girin
Salı
19-05
0 mm
5.1 km/h
W
26°
14°
Çarşamba
20-05
1 mm
7.9 km/h
N
24°
15°
Perşembe
21-05
0 mm
7.7 km/h
N
26°
16°
Cuma
22-05
3 mm
5.9 km/h
NW
24°
16°
Cumartesi
23-05
8 mm
3.9 km/h
NW
22°
17°
Pazar
24-05
1 mm
5.3 km/h
NW
23°
16°
Pazartesi
25-05
0 mm
5.3 km/h
N
26°
16°
Saat
İlaçlama
Maksimum Sıcaklık (°C)
Yağış (mm)
Yağış Riski (%)
Bağıl Nem (%)
Rüzgar Yönü
Rüzgar hızı (km/sa)
Referans Buharlaşma
Rüzgar Fırtınası (km/sa)
Sağnak Riski (%)
Bulutlanma (%)
Fırtına Olasılığı (%)
Çiylenme noktası (°C)
Görüş Mesafesi (dKm)
Hava Basıncı (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
16.62
15.95
15.4
14.92
14.54
14.45
14.96
16.21
18.02
19.99
21.75
23.36
24.57
25.47
25.61
25.38
24.82
24.31
23.5
22.45
21.16
19.82
18.54
17.4
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
0
0
0
0
0
0
0
0
0
0
0
69
72
75
76
77
76
73
67
60
53
48
45
42
39
37
37
39
41
44
48
52
57
64
71
NE
NE
NE
NE
NE
NE
NE
NE
NE
NE
N
NW
W
W
W
W
W
W
W
NW
NW
NW
NW
NW
3.5
3.3
3.2
3.2
3.1
3
3.3
3.3
3.1
3.7
4.1
4.7
5.1
6.1
7.3
8.5
9.3
9.4
9.1
7.8
5.9
4.2
3.7
3.9
0.01
0.01
0
0
0
0
0.01
0.03
0.12
0.24
0.37
0.48
0.56
0.59
0.57
0.56
0.48
0.39
0.28
0.18
0.09
0.05
0.01
0.01
10.7
9.3
10.9
11.7
11.7
11.1
10.5
9
9.6
11.4
15.5
17.5
18.1
20.5
23.1
26.6
29.4
30.9
30.2
25.1
18.6
11.5
8.7
10.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
12
0
0
1
0
4
5
0
0
0
8
21
30
30
30
30
30
30
30
26
21
26
34
80
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
3
4
5
6
8
11.12
11.06
11
10.91
10.71
10.42
10.18
10.12
10.19
10.24
10.45
10.86
10.99
10.53
10.01
9.92
10.26
10.41
10.71
10.91
11.01
11.26
11.72
12.26
19670
18870
18470
18070
17470
17060
16630
17020
19420
24020
28820
32620
36020
38220
37020
31620
27020
26820
24410
23020
22220
21220
20020
18460
1013.24
1013.11
1012.97
1012.84
1012.83
1012.81
1012.8
1012.75
1012.7
1012.65
1012.53
1012.41
1012.29
1011.71
1011.12
1010.54
1010.21
1009.87
1009.54
1009.52
1009.5
1009.48
1009.45
1009.42
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.
Hava durumu sağlayıcısı meteoblue