Doğru hava durumunu görmek için konumuzunuzu girin
Cuma
03-07
0 mm
7.5 km/h
NW
34°
24°
Cumartesi
04-07
0 mm
9.2 km/h
N
33°
25°
Pazar
05-07
0 mm
13.2 km/h
N
33°
24°
Pazartesi
06-07
0 mm
11.2 km/h
N
32°
22°
Salı
07-07
0 mm
9.2 km/h
N
33°
21°
Çarşamba
08-07
0 mm
7.7 km/h
W
32°
21°
Perşembe
09-07
0 mm
6.9 km/h
SW
33°
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
25.88
25.28
24.89
24.53
24.11
23.9
24.28
25.52
27.27
29.14
30.73
32.08
33.1
33.83
34.15
34.14
33.81
33.31
32.53
31.5
30.33
29.3
28.5
27.78
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
66
68
68
70
70
69
64
60
56
51
45
39
36
33
31
31
32
32
34
38
43
49
52
54
N
N
N
NE
NE
NE
NE
NE
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
3.3
2.9
2.6
2.5
2.4
2.7
3.2
3.4
4
5
6.7
8.2
9.4
10.8
12.1
13.3
14
14
13.5
12.5
10.8
8.6
7.1
5.8
0.02
0.01
0.01
0.01
0.01
0.01
0.01
0.05
0.16
0.3
0.45
0.59
0.7
0.76
0.79
0.76
0.71
0.61
0.49
0.35
0.2
0.12
0.07
0.05
9.5
10
9
10.2
10
10
12.6
15.4
15.6
16.6
20.5
25.1
28.3
31.9
35.1
36.8
39.7
40
38
34.5
30.2
26.6
20.9
16.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
3
5
3
0
0
0
0
1
26
26
19
21
1
0
0
0
0
0
5
5
5
4
4
3
1
0
0
0
0
0
0
0
1
2
4
4
3
4
4
5
6
5
19.1
19
18.79
18.73
18.43
17.87
17.15
17.25
17.81
17.97
17.5
16.77
16.16
15.52
14.88
14.67
14.89
14.6
14.8
15.56
16.64
17.52
17.88
17.9
22660
23060
24860
24860
26250
29650
36040
36020
35820
39620
43810
45410
45810
46810
47610
44810
37410
39410
38610
36610
33010
29210
27010
26020
1008.66
1008.68
1008.71
1008.73
1008.71
1008.68
1008.66
1008.95
1009.25
1009.54
1009.41
1009.29
1009.16
1008.87
1008.59
1008.3
1007.97
1007.64
1007.31
1007.78
1008.24
1008.71
1009.07
1009.43
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