• Predicción especial. Semana Santa
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Weather forecast by locations. Casas del Puerto (Ávila)

Capital: Casas del Puerto (altitude: 1174 m)
Latitude40° 31' 42'' N - Longitude5° 11' 54'' W -  PositionSee location
Warning zone: Sistema Central de Ávila

Thu 28
13
Cloudy
SO
30
63
 
14
Cloudy
SO
28
58
 
15
Cloudy with light rain
SO
21
56
0.1
Total rainfall (mm)
 
16
Overcast with light rain
SO
22
43
0.5
Total rainfall (mm)
 
17
Overcast with light rain
SO
18
43
0.7
Total rainfall (mm)
 
18
Overcast with rain/rain showers
S
18
35
2
Total rainfall (mm)
 
19
Overcast with rain/rain showers
SO
13
36
3
Total rainfall (mm)
 
20
Overcast with rain/rain showers
SO
15
36
3
Total rainfall (mm)
 
21
Overcast with light rain
SO
14
27
1
Total rainfall (mm)
 
22
Overcast with light rain
SO
9
16
1
Total rainfall (mm)
 
23
Overcast with light rain
SO
7
11
1
Total rainfall (mm)
Fri 29
00
Overcast with rain/rain showers
O
5
40
2
Total rainfall (mm)
 
01
Overcast with light rain
O
19
18
1
Total rainfall (mm)
0.1
Snow depth (mm)
 
02
Overcast with light rain
NO
5
25
0.2
Total rainfall (mm)
 
03
Very cloudy with light rain
O
9
21
0.1
Total rainfall (mm)
 
04
Overcast
O
9
13
 
05
Overcast
NO
6
10
 
06
Mist
N
5
9
 
07
Overcast with light rain
NE
3
10
0.1
Total rainfall (mm)
 
08
Overcast with light rain
N
5
11
0.2
Total rainfall (mm)
 
09
Overcast with light rain
NE
5
15
0.2
Total rainfall (mm)
 
10
Overcast with light rain
N
7
12
0.8
Total rainfall (mm)
0.3
Snow depth (mm)
 
11
Overcast with light rain
N
5
10
1
Total rainfall (mm)
0.6
Snow depth (mm)
 
12
Overcast with light rain
N
5
16
1
Total rainfall (mm)
0.3
Snow depth (mm)
 
13
Overcast with thunderstorms and light rain showers
NO
7
22
0.8
Total rainfall (mm)
0.3
Snow depth (mm)
 
14
Overcast with thunderstorms and light rain showers
NO
8
19
0.2
Total rainfall (mm)
 
15
Overcast with thunderstorms and light rain showers
NO
8
18
0.1
Total rainfall (mm)
 
16
Very cloudy
O
7
24
 
17
Partly cloudy
O
10
24
 
18
Cloudless sky
O
9
17
 
19
Cloudy
O
8
7
 
20
Overcast with light rain
SE
3
8
0.1
Total rainfall (mm)
 
21
Very cloudy with light rain
N
4
16
0.1
Total rainfall (mm)
 
22
Overcast
S
7
9
 
23
Overcast with light rain
SO
3
24
0.1
Total rainfall (mm)
Sat 30
00
Overcast with light rain
SE
10
18
0.9
Total rainfall (mm)
0.1
Snow depth (mm)
 
01
Very cloudy with thunderstorms and light rain showers
NO
8
14
0.1
Total rainfall (mm)
 
02
Very cloudy with thunderstorms and light rain showers
SE
6
18
0.5
Total rainfall (mm)
0.2
Snow depth (mm)
 
03
Partly cloudy
S
5
25
 
04
Very cloudy
SE
11
25
 
05
Overcast with thunderstorms and light rain showers
SE
11
16
0.1
Total rainfall (mm)
 
06
Very cloudy with thunderstorms and light rain showers
SO
4
3
0.1
Total rainfall (mm)
Date
Hour
Sky condition
Wind direction and speed
Speed (km/h) / Max. wind gust (km/h)
Temperature (°C)
Temperature (°C)
Feels like temperature (°C)
Feels like temperature (°C)
Relative humidity (%)
Relative humidity (%)
Total rainfall (mm)
Total rainfall (mm)
Snow depth (mm)
Snow depth (mm)
Maximum level of warning
Legend
Weather forecasts for 8124 locations in Spain. They must be considered as the more probable tendency of the meteorological evolution for the next 7 days.

The "Hourly weather forecast" shows the hour by hour-information up to 48 hours after the moment numerical models are updated (00,06,12,and 18 UTC), while the "7-Day weather forecast" reaches the whole period.

The local time for which all instantaneous variables are predicted is the one shown in the timeline. Variables accumulated in one hour (maximum gust, precipitation and snow) are related to the next hour (for example, the precipitation at 09:00 corresponds to the accumulated precipitation between 09:00 and 10:00).

Six-hourly intervals or greater correspond to UTC times. Therefore, one hour in winter time and two in summer time have to be added for local time.

They are automatically generated by statistical treatment of data coming from weather numerical models, which may result in some differences from other weather forecasts elaborated by AEMET staff, who interprets and adjusts the model results.

The selection made by locations gives rise to an information concerning weather forecasts for the capital or main city, due to some municipalities or locations may have a wide geographical area and significant differences in altitude, therefore some weather forecast data can vary from a place to another.
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