Doğru hava durumunu görmek için konumuzunuzu girin
Cuma
03-07
0 mm
7.5 km/h
NW
32°
24°
Cumartesi
04-07
0 mm
9 km/h
N
33°
24°
Pazar
05-07
0 mm
12.9 km/h
N
32°
24°
Pazartesi
06-07
0 mm
11.1 km/h
N
32°
22°
Salı
07-07
0 mm
9.2 km/h
N
33°
21°
Çarşamba
08-07
0 mm
7.5 km/h
NW
32°
20°
Perşembe
09-07
0 mm
6.6 km/h
W
33°
21°
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
24.58
24.31
24.12
24.03
24.22
24.85
26.11
27.7
29.39
30.38
30.74
31
31.28
31.74
31.83
31.08
30.31
29.5
28.48
27.73
27.05
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
69
70
70
71
73
71
65
57
49
44
41
37
35
34
34
37
41
45
51
54
58
N
N
N
NE
SW
W
NW
W
W
W
W
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
NW
3.3
2.9
2.6
3.3
3.2
3.2
3.3
3.4
4.3
5.3
6.5
8
9.5
11.2
12.7
13.9
14.1
13.8
13
11.4
9.4
7.5
6.4
5.5
0.02
0.01
0.01
0.01
0.01
0.01
0.01
0.04
0.15
0.3
0.45
0.59
0.69
0.75
0.77
0.75
0.69
0.6
0.47
0.32
0.18
0.1
0.06
0.05
9.5
10.1
9
11.6
10.2
10.4
10.7
11.7
13.1
15.3
18.1
22.8
26.5
31.6
35.8
35.8
38
39.6
39.1
35.9
32
26.6
22.8
16.8
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
5
5
5
4
2
1
1
1
0
1
0
0
0
0
0
0
0
0
1
2
3
5
5
6
19.1
19.01
18.8
18.73
18.69
18.53
18.57
19.19
19.36
19.25
18.67
17.67
17.02
16.06
15.01
14.42
14.16
14.29
14.91
15.67
16.65
17.46
17.84
18.11
22660
23060
24860
24860
22850
20750
17590
12020
13620
16610
20820
29210
31010
36420
42020
41420
42670
42010
37970
36010
32810
28210
25410
21830
1008.66
1008.68
1008.71
1008.73
1008.68
1008.64
1008.59
1008.88
1009.18
1009.47
1009.35
1009.24
1009.12
1008.87
1008.61
1008.36
1008.07
1007.78
1007.49
1007.93
1008.36
1008.8
1009.17
1009.54
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