Weather forecast by locations. Sallent de Gállego (Huesca)

Capital: Sallent de Gállego (altitude: 1304 m)
Latitude42° 46' 21'' N - Longitude0° 19' 53'' W -  PositionSee location
Warning zone: Pirineo oscense

Wed 18
13
High clouds
S
10
30
 
14
Very cloudy
S
9
36
 
15
Overcast with light rain
S
11
39
0.1
Total rainfall (mm)
 
16
Overcast
S
12
36
 
17
Overcast with light rain
S
12
34
0.1
Total rainfall (mm)
 
18
Overcast with light rain
S
11
41
1
Total rainfall (mm)
 
19
Overcast with thunderstorms and light rain showers
S
13
45
1
Total rainfall (mm)
 
20
Overcast with thunderstorms
SO
17
49
2
Total rainfall (mm)
0.1
Snow depth (mm)
 
21
Overcast
SO
17
49
 
22
Overcast with thunderstorms and light rain showers
O
16
31
0.4
Total rainfall (mm)
 
23
Overcast with light snow
SO
10
45
0.5
Total rainfall (mm)
0.3
Snow depth (mm)
Thu 19
00
Very cloudy with light snow
NO
14
43
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
01
Cloudy
NO
17
40
 
02
Very cloudy
NO
15
41
 
03
Overtcast with snow
NO
14
52
0.6
Total rainfall (mm)
0.6
Snow depth (mm)
 
04
Overcast with light snow
NO
19
50
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
05
Overcast with light snow
NO
15
35
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
06
Overtcast with snow
NO
12
42
0.8
Total rainfall (mm)
0.8
Snow depth (mm)
 
07
Overtcast with snow
NO
12
33
0.9
Total rainfall (mm)
0.9
Snow depth (mm)
 
08
Overcast with snow
N
8
29
1
Total rainfall (mm)
1
Snow depth (mm)
 
09
Overcast with snow
NO
11
48
1
Total rainfall (mm)
1
Snow depth (mm)
 
10
Very cloudy with light snow
NO
19
67
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
11
Overcast with light snow
N
29
54
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
12
Overcast with light snow
NO
20
64
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
13
Overcast with light snow
N
26
56
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
14
Overcast with snow
NO
18
44
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
 
15
Overcast with light snow
N
16
64
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
 
16
Overcast with light snow
N
28
73
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
17
Overcast with light snow
NO
33
41
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
18
Overcast with light snow
NO
16
72
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
19
Overcast with light snow
N
30
57
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
20
Overcast with light snow
N
16
70
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
21
Overcast with light snow
N
25
50
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
22
Overcast with light snow
N
20
60
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
23
Very cloudy with light snow
N
25
62
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
Fri 20
00
Cloudy with light snow showers
N
28
69
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
01
Cloudy
N
32
67
 
02
Cloudy with light snow showers
N
29
77
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
03
Cloudy
N
34
72
 
04
Cloudy
N
32
69
 
05
Cloudy
NO
29
59
 
06
Cloudy
NO
23
53
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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