Doğru hava durumunu görmek için konumuzunuzu girin
Cumartesi
04-07
0 mm
9.2 km/h
N
33°
25°
Pazar
05-07
0 mm
12.9 km/h
NE
32°
24°
Pazartesi
06-07
0 mm
11.1 km/h
N
32°
22°
Salı
07-07
0 mm
9 km/h
N
33°
21°
Çarşamba
08-07
0 mm
7.6 km/h
NW
33°
21°
Perşembe
09-07
0 mm
6.9 km/h
W
33°
21°
Cuma
10-07
0 mm
7.7 km/h
W
34°
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
27.66
26.93
26.23
25.6
25.06
24.81
25.26
26.5
28.29
29.9
31.13
31.95
32.46
32.64
32.66
32.65
32.62
32.39
31.85
30.93
29.8
28.69
27.73
26.81
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
2
3
4
4
2
0
0
0
0
56
57
57
58
58
59
57
54
49
44
41
39
37
36
36
35
35
35
37
41
46
50
52
54
N
N
N
NE
NE
NE
NE
NE
NW
N
N
N
N
N
N
NW
NW
N
N
N
N
NE
NE
NE
5.3
4.6
4
3.6
3.5
3.5
3.8
4.2
5.2
6.8
7.8
9.1
10.5
12.2
13.9
14.8
14.9
14.4
13.8
13.5
13
11.9
11.2
10.5
0.05
0.04
0.03
0.02
0.02
0.02
0.03
0.06
0.18
0.32
0.47
0.6
0.69
0.68
0.71
0.68
0.62
0.56
0.46
0.34
0.22
0.15
0.11
0.1
13.4
14.8
14.4
13
12.1
12.6
14.2
16.3
17.6
17.8
20.3
25.5
31
34.8
38
35
34.6
38
37.4
37.2
36.9
35
32.2
25.4
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
1
5
42
58
51
50
44
46
37
7
1
1
0
0
5
4
4
3
3
2
1
1
1
1
3
5
9
10
11
12
9
8
6
4
3
3
2
1
18.1
17.79
17.13
16.75
16.46
16.29
16.3
16.51
16.68
16.63
16.61
16.54
16.27
15.9
15.69
15.43
15.25
15.37
15.62
16.21
16.95
17.42
17.27
16.84
19650
20450
24850
26250
26860
25660
23230
22220
26420
32620
33810
35210
37820
39020
35610
36010
39010
40210
40410
37610
33220
27820
23820
20220
1009.91
1009.99
1010.07
1010.15
1010.19
1010.24
1010.28
1010.39
1010.51
1010.62
1010.45
1010.29
1010.12
1009.71
1009.29
1008.88
1008.62
1008.37
1008.11
1008.48
1008.86
1009.23
1009.45
1009.68
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