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મંગળવાર
21-07
0 mm
5.5 km/h
N
25°
15°
Predictability
87%
બુધવાર
22-07
0 mm
3.5 km/h
N
27°
15°
Predictability
82%
ગુરુવાર
23-07
0 mm
5.8 km/h
N
26°
18°
Predictability
81%
શુક્રવાર
24-07
0 mm
3.3 km/h
N
28°
15°
Predictability
80%
શનિવાર
25-07
2 mm
4.7 km/h
W
32°
16°
Predictability
41%
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00 - 08
Wind Speed (m/s)
3.2
Temperature min (°C)
15.15
Temperature Max (°C)
19.29
Relative Humidity (%)
52
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
W
08 - 16
Wind Speed (m/s)
6.5
Temperature min (°C)
17
Temperature Max (°C)
25.38
Relative Humidity (%)
40
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
N
16 - 24
Wind Speed (m/s)
7.3
Temperature min (°C)
20.36
Temperature Max (°C)
25.98
Relative Humidity (%)
33.5
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
N
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.
Forecast provided by meteoblue