Weather forecast by locations. Villanova (Huesca)

Capital: Villanova (altitude: 984 m)
Latitude42° 32' 52'' N - Longitude0° 27' 44'' E -  PositionSee location
Warning zone: Pirineo oscense

Fri 13
11
Overcast with snow
SE
3
8
3
Total rainfall (mm)
3
Snow depth (mm)
 
12
Overcast with snow
SE
2
5
2
Total rainfall (mm)
2
Snow depth (mm)
 
13
Overcast with snow
SO
2
8
1
Total rainfall (mm)
Ip
Snow depth (mm)
 
14
Overcast with snow
SO
3
8
0.6
Total rainfall (mm)
Ip
Snow depth (mm)
 
15
Overcast with light rain
S
3
12
0.1
Total rainfall (mm)
 
16
Overcast
SE
4
14
 
17
Overcast with light rain
SE
5
17
0.1
Total rainfall (mm)
 
18
Fog
SE
6
15
 
19
Overcast
E
5
18
 
20
Very cloudy
SE
7
16
 
21
Overcast
E
7
20
 
22
Overcast with light rain
E
8
20
0.1
Total rainfall (mm)
 
23
Overcast with light rain
SE
9
49
0.1
Total rainfall (mm)
Sat 14
00
Overcast with light snow
NO
16
65
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
01
Cloudy with light snow showers
NO
25
70
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
02
Cloudy with light snow showers
NO
28
79
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
03
Cloudy with light snow showers
NO
32
93
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
04
Very cloudy with light snow
NO
34
73
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
05
Cloudy intervals with light snow showers
NO
25
72
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
06
Cloudy intervals with light snow showers
NO
27
93
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
07
Cloudy intervals with light snow showers
NO
38
98
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
08
High clouds
NO
41
99
 
09
Cloudy with light rain
NO
39
95
0.1
Total rainfall (mm)
 
10
Cloudy with light snow showers
NO
40
102
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
11
Cloudy with light snow showers
NO
39
99
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
12
Cloudy with light snow showers
NO
40
94
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
13
Cloudy intervals with light snow showers
NO
37
85
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
14
Cloudy intervals with light snow showers
NO
32
128
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
15
Partly cloudy
NO
55
136
 
16
Cloudy intervals with light snow showers
NO
62
95
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
17
Cloudy with light snow showers
N
37
73
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
18
Partly cloudy
N
29
77
 
19
Cloudy intervals
N
31
82
 
20
Cloudy intervals
N
32
91
 
21
Cloudy intervals
NO
36
92
 
22
Cloudy intervals
NO
36
86
 
23
Cloudy intervals
NO
32
74
Sun 15
00
Cloudy intervals
NO
24
55
 
01
Cloudless sky
NO
14
53
 
02
Cloudless sky
NO
16
30
 
03
Cloudless sky
SO
8
27
 
04
Cloudless sky
SO
7
27
 
05
Cloudless sky
SO
9
27
 
06
Cloudless sky
O
8
49
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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