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મંગળવાર
30-06
3 mm
2.7 km/h
NW
30°
22°
Predictability
50%
બુધવાર
01-07
7 mm
3.6 km/h
NW
26°
22°
Predictability
44%
ગુરુવાર
02-07
0 mm
3.5 km/h
NW
28°
19°
Predictability
82%
શુક્રવાર
03-07
0 mm
5.4 km/h
N
27°
20°
Predictability
77%
શનિવાર
04-07
0 mm
3.2 km/h
N
29°
17°
Predictability
72%
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00 - 08
Wind Speed (m/s)
1.7
Temperature min (°C)
21.97
Temperature Max (°C)
25.41
Relative Humidity (%)
72.5
Precipitation (mm)
0
Precipitation Risk (%)
16
Wind Direction
W
08 - 16
Wind Speed (m/s)
3.2
Temperature min (°C)
23.3
Temperature Max (°C)
30.29
Relative Humidity (%)
55.62
Precipitation (mm)
0
Precipitation Risk (%)
37
Wind Direction
N
16 - 24
Wind Speed (m/s)
5.1
Temperature min (°C)
26.19
Temperature Max (°C)
30.07
Relative Humidity (%)
51.88
Precipitation (mm)
0
Precipitation Risk (%)
37
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