Doğru hava durumunu görmek için konumuzunuzu girin
Cumartesi
27-04
0 mm
6.8 km/h
NE
25°
13°
Pazar
28-04
0 mm
9 km/h
NE
26°
15°
Pazartesi
29-04
0 mm
9.7 km/h
NE
28°
17°
Salı
30-04
0 mm
8.6 km/h
NE
28°
16°
Çarşamba
01-05
0 mm
6.1 km/h
NE
27°
17°
Perşembe
02-05
0 mm
5 km/h
W
27°
17°
Cuma
03-05
0 mm
6.1 km/h
W
27°
18°
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
17.9
17.8
16.8
16.2
15
14.4
13.2
13.3
14.9
17.1
19.2
21.2
22.9
24.3
25.1
25.4
25.2
24.7
23.9
22.7
21.5
20.4
19.3
18.6
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
54
54
58
60
64
65
70
70
64
57
50
44
40
37
35
35
36
38
41
45
49
52
55
56
NE
NE
NE
NE
NE
NE
NE
NE
NE
NW
W
W
W
W
W
W
W
NW
NW
NW
N
NE
NE
NE
5.8
3.6
7.2
4
7.2
1.4
4
2.9
4.3
5
5.8
6.5
7.6
8.3
9.4
10.1
10.8
11.2
10.8
9.4
7.2
6.5
6.5
6.5
0
0
0
0
0
0
0
0
0.1
0.2
0.3
0.4
0.6
0.6
0.6
0.6
0.5
0.4
0.3
0.2
0.1
0
0
0
14
6.1
14.4
9.4
14.8
7.9
9.4
9
14
14.4
15.5
19.8
23
28.8
31
33.1
36
37.4
35.3
33.8
27.4
20.9
13.7
10.4
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
2
5
9
15
23
26
19
8
0
0
0
2
7
31
92
92
85
61
33
28
16
9
9
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
6
8
9
7
5
4
2
2
2
8.6
8.5
8.7
8.6
8.3
8.1
8
8
8.3
8.5
8.7
8.7
8.7
8.7
8.8
8.9
9.3
9.6
10
10.2
10.4
10.3
10.1
9.8
21260
18260
17670
17460
16860
16060
15250
15420
17020
18210
19420
25610
31420
35620
38810
39610
41010
36420
33210
29410
24810
20620
17450
14250
1013
1013
1013.1
1013.1
1012.9
1012.7
1012.5
1012.8
1013.1
1013.5
1013.3
1013.1
1012.9
1012.5
1012
1011.6
1011.5
1011.4
1011.3
1011.7
1012.1
1012.5
1012.8
1013
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