• Predicción especial. Semana Santa

Weather forecast by locations. Aragüés del Puerto (Huesca)

Capital: Aragüés del Puerto (altitude: 971 m)
Latitude42° 42' 23'' N - Longitude0° 40' 14'' W -  PositionSee location
Warning zone: Pirineo oscense
Date Hour Sky Temp. (°C) Feels like temp. (°C) Wind (km/h) Max. wind gust (km/h) Rainfall (mm) Snow depth (mm) Relative humidity (%) Rainfall prob. (%) Snow fall prob. (%) Storm prob. (%) Warnings
Sat 28 08 High clouds 4 0
NE
18
70 0 0 56 10% (7-13h) 0% (7-13h) 0% (7-13h) No hazard
09 Cloudless sky 6 2
NE
27
71 0 0 49 No hazard
10 Cloudless sky 8 4
NE
29
79 0 0 44 No hazard
11 Cloudless sky 9 5
NE
33
79 0 0 44 No hazard
12 Overcast 10 10
NE
29
72 0 0 46 No hazard
13 Very cloudy 10 10
O
9
31 0 0 47 100% (13-19h) 45% (13-19h) 60% (13-19h) No hazard
14 High clouds 10 10
O
9
31 0 0 50 No hazard
15 Cloudy intervals with light rain 9 8
NO
9
38 0.1 0 56 No hazard
16 Cloudy intervals with light rain 9 7
NO
14
45 0.2 0 60 No hazard
17 Cloudy intervals with light rain 8 5
NO
17
47 0.2 0 64 No hazard
18 Cloudless sky 7 4
NO
19
51 0 0 61 Low hazard
19 Cloudless sky 7 4
N
20
63 0 0 50 100% (19-1h) 100% (19-1h) 40% (19-1h) Low hazard
20 Partly cloudy 7 3
N
27
63 0 0 48 Low hazard
21 Cloudy intervals with light snow showers 6 2
N
24
55 0.2 0.2 50 Low hazard
22 Very cloudy with light snow 6 3
NO
18
45 0.5 0.5 54 Low hazard
23 Cloudy with light snow showers 5 2
NO
11
52 0.3 0.3 58 Low hazard
Sun 29 00 Very cloudy with snow 5 1
NO
21
52 0.7 0.7 57 Important hazard
01 Very cloudy with snow 4 0
NO
18
44 1 1 60 100% (2-8h) 95% (2-8h) 0% (2-8h) Important hazard
03 Very cloudy with snow 3 -1
NO
16
39 1 1 60 Important hazard
04 Overtcast with snow 1 -3
NO
16
42 1 1 59 Important hazard
05 Overtcast with snow 0 -5
NO
17
43 0.6 0.6 60 Important hazard
06 Overtcast with snow 0 -5
N
17
42 0.6 0.6 59 Important hazard
07 Very cloudy with light snow 0 -5
NO
17
47 0.4 0.4 60 Important hazard
08 Overcast with light snow 0 -5
NO
20
50 0.3 0.3 61 100% (8-14h) 95% (8-14h) 0% (8-14h) Important hazard
09 Overcast with light snow 0 -5
NO
21
49 0.4 0.4 62 Important hazard
10 Overcast with light snow 0 -5
NO
20
50 0.5 0.5 62 Important hazard
11 Overcast with light snow 0 -5
N
21
50 0.4 0.4 61 Important hazard
12 Very cloudy with light snow 0 -5
N
18
47 0.4 0.4 57 Important hazard
13 Very cloudy with light snow 1 -4
N
19
52 0.4 0.4 55 Important hazard
14 Cloudy intervals with light snow showers 2 -3
N
21
78 0.2 0.2 52 85% (14-20h) 85% (14-20h) 0% (14-20h) Important hazard
15 Cloudy intervals with light snow showers 2 -4
N
34
105 0.1 0.1 50 Important hazard
16 High clouds 3 -4
N
45
107 0 0 47 Important hazard
17 High clouds 3 -3
N
41
103 0 0 48 Important hazard
18 Partly cloudy 4 -1
N
26
74 0 0 45 Important hazard
19 Cloudless sky 4 1
N
13
44 0 0 44 Important hazard
20 Cloudy intervals 4 1
SO
15
44 0 0 46 15% (20-2h) 15% (20-2h) 0% (20-2h) Important hazard
21 Cloudy intervals 4 0
SO
18
45 0 0 52 Important hazard
22 Cloudy intervals 4 0
SO
17
49 0 0 53 Important hazard
23 Cloudy intervals 4 0
SO
19
49 0 0 55 Important hazard
Mon 30 00 Cloudy intervals 4 0
SO
18
47 0 0 52 No hazard
01 Cloudy intervals 3 -1
SO
17
57 0 0 57 No hazard
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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