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Homepage › Weather › Forecast › Towns › Monesma y Cajigar › Horas › Tabla

Weather forecast by locations. Monesma y Cajigar (Huesca)

Capital: Cajigar (altitude: 1063 m)
Latitude: 42° 13' 24'' N - Longitude: 0° 36' 59'' E -  Position: See location
Warning zone: Pirineo oscense
Download the XML archive of the hourly weather forecast for Monesma y Cajigar
XML
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
Thu 27 19 Overcast 9 7
O
12
 17 0 0 66 0% (19-1h) 0% (19-1h) 0% (19-1h) No risk
20 Partly cloudy 8 6
NE
10
 26 0 0 61 No risk
21 Cloudless sky 7 4
NE
16
 29 0 0 56 No risk
22 Partly cloudy 6 3
NE
17
 23 0 0 59 No risk
23 Partly cloudy 6 3
NE
13
 13 0 0 60 No risk
Fri 28 00 Cloudy 5 3
E
8
 10 0 0 61 No risk
01 Partly cloudy 5 5
E
7
 11 0 0 64 0% (1-7h) 0% (1-7h) 0% (1-7h) No risk
02 Partly cloudy 4 2
E
8
 10 0 0 65 No risk
03 Partly cloudy 3 3
E
7
 6 0 0 69 No risk
04 Partly cloudy 2 2
E
4
 2 0 0 73 No risk
05 Cloudless sky 2 2
E
2
 2 0 0 73 No risk
06 Cloudless sky 2 2
NO
2
 3 0 0 71 No risk
07 Cloudless sky 1 1
NO
2
 3 0 0 75 0% (7-13h) 0% (7-13h) 0% (7-13h) No risk
08 Cloudless sky 4 4
N
2
 8 0 0 70 No risk
09 Cloudless sky 6 6
O
4
 14 0 0 68 No risk
10 Cloudless sky 8 8
O
6
 17 0 0 57 No risk
11 Cloudless sky 9 9
O
7
 21 0 0 55 No risk
12 Cloudless sky 11 11
O
9
 24 0 0 48 No risk
13 Cloudless sky 12 12
O
11
 26 0 0 47 0% (13-19h) 0% (13-19h) 0% (13-19h) No risk
14 Cloudless sky 13 13
O
12
 30 0 0 41 No risk
15 Cloudless sky 14 14
NO
15
 39 0 0 32 No risk
16 High clouds 12 12
NO
21
 28 0 0 36 No risk
17 High clouds 11 11
N
11
 23 0 0 40 No risk
18 Partly cloudy 10 10
NE
11
 9 0 0 40 No risk
19 Partly cloudy 9 9
N
3
 5 0 0 46 0% (19-1h) 0% (19-1h) 0% (19-1h) No risk
20 Cloudless sky 8 8
O
3
 8 0 0 50 No risk
21 Partly cloudy 7 7
NE
6
 14 0 0 48 No risk
22 Cloudless sky 6 6
NE
7
 7 0 0 51 No risk
23 Partly cloudy 6 6
NE
5
 9 0 0 53 No risk
Sat 29 00 Cloudless sky 5 5
NE
6
 7 0 0 53 Risk
01 Cloudless sky 4 4
N
3
 14 0 0 55 5% (1-7h) 5% (1-7h) 5% (1-7h) Risk
02 Cloudless sky 4 1
NO
10
 19 0 0 59 Risk
03 Cloudless sky 4 1
O
12
 12 0 0 62 Risk
04 Cloudless sky 3 1
O
8
 27 0 0 72 Risk
05 Cloudless sky 3 -1
N
17
 26 0 0 62 Risk
06 Cloudless sky 2 -2
N
16
 24 0 0 46 Risk
Access to observed data from nearby weather stations (Distances referred to the location capital)
There are not weather stations belonging to this location.
Weather stations next to the location:
Capella, Laguarres (Location:  Capella) to 12,62 km - Altitude 600 m
Sopeira (Location:  Sopeira) to 15,08 km - Altitude 760 m
Benabarre (Location:  Benabarre) to 16,69 km - Altitude 765 m
Talarn (Location:  Tremp) to 20,55 km - Altitude 807 m
Llimiana (Location:  Llimiana) to 29,62 km - Altitude 515 m
Seira (Location:  Seira) to 31,92 km - Altitude 825 m
Vall de Boí (Location:  Vall de Boí, La) to 34,55 km - Altitude 1089 m
Cerler, Cogulla (Location:  Benasque) to 37,36 km - Altitude 2374 m
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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