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ગુરુવાર
29-10
0 mm
3.1 km/h
N
13°
4°
Predictability
83%
શુક્રવાર
30-10
0 mm
3.5 km/h
NW
11°
4°
Predictability
82%
શનિવાર
31-10
0 mm
3.4 km/h
NW
11°
3°
Predictability
78%
રવિવાર
01-11
0 mm
3.1 km/h
W
10°
2°
Predictability
74%
સોમવાર
02-11
0 mm
3.9 km/h
NW
8°
1°
Predictability
61%
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00 - 08
Wind Speed (m/s)
1.9
Temperature min (°C)
3.85
Temperature Max (°C)
5.4
Relative Humidity (%)
95.25
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
NW
08 - 16
Wind Speed (m/s)
4.2
Temperature min (°C)
6.7
Temperature Max (°C)
12.6
Relative Humidity (%)
68.88
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
N
16 - 24
Wind Speed (m/s)
2.6
Temperature min (°C)
5.85
Temperature Max (°C)
10.67
Relative Humidity (%)
82.88
Precipitation (mm)
0
Precipitation Risk (%)
0
Wind Direction
NW
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