Select your location to see the accurate weather
Monday
01-06
5 mm
1 m/s
NE
31°
21°
Tuesday
02-06
0 mm
1.3 m/s
NE
30°
20°
Wednesday
03-06
3 mm
1.1 m/s
NE
30°
20°
Thursday
04-06
5 mm
0.9 m/s
E
31°
21°
Friday
05-06
8 mm
0.9 m/s
E
30°
20°
00 - 08
Temperatura mínima (°C)
21
Temperatura máxima (°C)
23.3
Precipitación (mm)
0
Riesgo Precipitacion (%)
48
Humedad relativa (%)
95.88
Dirección del viento
NE
Velocidad del viento (km/h)
0.78
00
01
02
03
04
05
06
07
08 - 16
Temperatura mínima (°C)
24.64
Temperatura máxima (°C)
31
Precipitación (mm)
2.3
Riesgo Precipitacion (%)
51
Humedad relativa (%)
61.5
Dirección del viento
NE
Velocidad del viento (km/h)
1.4
08
09
10
11
12
13
14
15
16 - 24
Temperatura mínima (°C)
21
Temperatura máxima (°C)
27.92
Precipitación (mm)
12.38
Riesgo Precipitacion (%)
95
Humedad relativa (%)
84.75
Dirección del viento
NE
Velocidad del viento (km/h)
0.59
16
17
18
19
20
21
22
23
Aerosol aérea Genérico
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