Doğru hava durumunu görmek için konumuzunuzu girin
Salı
18-08
0 mm
4.1 km/h
W
30°
22°
Çarşamba
19-08
0 mm
4.7 km/h
W
32°
24°
Perşembe
20-08
0 mm
5.4 km/h
N
36°
24°
Cuma
21-08
0 mm
4.7 km/h
W
35°
24°
Cumartesi
22-08
0 mm
5 km/h
W
34°
24°
Pazar
23-08
0 mm
6.5 km/h
NW
35°
22°
Pazartesi
24-08
0 mm
7.4 km/h
NW
35°
23°
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
24.99
24.49
24.12
23.82
23.15
22.48
21.93
21.78
23
24.5
26
27.45
28.64
29.55
30.16
30.45
30.48
30.18
29.47
28.4
27.16
26.14
25.41
24.87
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
60
61
62
61
63
64
66
67
63
58
50
43
37
34
32
32
32
34
36
39
42
46
49
51
NE
NE
NE
E
E
E
E
E
E
SW
W
W
W
W
W
W
W
W
W
W
NW
NW
NW
E
2.3
1.9
1.8
1.9
1.9
2
2.3
2.3
1.8
1.7
2.4
3.7
5
6.6
7.8
8.6
8.8
8.5
7.7
6.4
4.6
3.3
2.6
2.5
0.01
0
0
0
0
0
0
0.02
0.08
0.22
0.37
0.51
0.64
0.7
0.72
0.68
0.6
0.49
0.36
0.21
0.08
0.03
0.02
0.01
10.2
7.8
6.7
6.2
7.2
7.8
7.5
6.6
6.1
7.2
9.2
14
18.1
22.8
26.7
27.8
28.9
28.5
26.2
21.6
15.8
11.4
10.9
9.7
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
1
1
0
0
0
0
0
0
0
0
2
1
1
1
0
0
0
0
0
0
1
0
0
0
0
1
1
1
2
2
2
1
1
1
16.69
16.63
16.38
16.08
15.8
15.53
15.38
15.39
15.74
15.79
15.01
13.83
12.79
12.41
11.98
11.98
12.35
12.68
13.07
13.28
13.48
13.73
14.09
14.33
24050
21450
20850
19460
18610
18250
17300
19430
21820
24620
26420
27820
31620
32220
37020
38220
36810
37210
36020
34420
31010
27410
26030
25250
1009.54
1009.61
1009.68
1009.75
1009.65
1009.54
1009.44
1009.61
1009.79
1009.96
1009.87
1009.77
1009.68
1009.36
1009.04
1008.72
1008.47
1008.23
1007.98
1008.6
1009.22
1009.84
1010.17
1010.5
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