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Weather forecast by locations. Arres (Lleida)

Capital: Arres de Jos (altitude: 1264 m)
Latitude42° 45' 23'' N - Longitude0° 42' 35'' E -  PositionSee location
Warning zone: Valle de Arán
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
Wed 19 23 Overtcast with snow 3 3
O
5
13 0.5 0.5 92 100% (19-1h) 100% (19-1h) 60% (19-1h) Risk
Thu 20 00 Overtcast with snow 3 3
SO
5
14 0.7 0.7 83 Risk
01 Overtcast with snow 2 2
SO
5
13 0.7 0.7 86 70% (1-7h) 70% (1-7h) 30% (1-7h) Risk
02 Overcast with light snow 2 2
SO
5
16 0.1 0.1 91 Risk
03 Overcast with light snow 1 1
SO
6
14 0.4 0.4 90 Risk
04 Overcast with light snow 0 0
SO
4
13 0.3 0.3 91 Risk
05 Overcast with light snow 0 0
O
4
14 0.1 0.1 88 Risk
06 Overcast with light snow -1 -1
SO
5
14 0.1 0.1 90 Risk
07 Overcast with light snow 0 0
SO
5
11 0.2 0.2 87 65% (7-13h) 65% (7-13h) 50% (7-13h) Risk
08 Overcast with light snow -1 -1
SO
4
12 0.3 0.3 91 Risk
09 Overcast with light snow -1 -1
SO
4
12 0.1 0.1 91 No risk
10 Overcast with light snow -2 -2
SO
4
13 0.2 0.2 92 No risk
11 Overcast with light snow -1 -1
SO
4
14 0.1 0.1 80 No risk
12 Overcast with light snow 1 1
SO
5
14 0.2 0.2 74 No risk
13 Overcast with light snow 2 2
SO
5
12 0.1 0.1 70 100% (13-19h) 100% (13-19h) 95% (13-19h) No risk
14 Overcast with light snow 2 2
SO
4
10 0.1 0.1 70 No risk
15 Overcast with light snow 2 2
SO
3
8 0.1 0.1 66 No risk
16 Overcast 2 2
SO
2
6 0 0 65 No risk
17 Overcast 2 2
SO
2
7 0 0 67 No risk
18 Overcast with light snow 1 1
O
3
12 0.2 0.2 70 Risk
19 Overcast with light snow 1 1
O
4
14 0.4 0.4 73 100% (19-1h) 100% (19-1h) 95% (19-1h) Risk
20 Overcast 1 1
SO
5
27 0 0 80 Risk
21 Overcast with light snow 0 -3
SO
10
26 0.2 0.2 80 Risk
22 Overtcast with snow 0 -3
O
9
20 1 1 81 Risk
23 Overtcast with snow -1 -1
O
7
15 1 1 79 Risk
Fri 21 00 Overcast with light snow -1 -1
O
5
14 0.2 0.2 80 Risk
01 Overcast with light snow -1 -1
O
4
18 0.2 0.2 70 100% (1-7h) 100% (1-7h) 95% (1-7h) Risk
02 Overcast with light snow -2 -2
NO
5
16 0.1 0.1 71 Risk
03 Overcast with light snow -3 -3
O
5
18 0.2 0.2 76 Risk
04 Overcast with light snow -3 -3
NO
4
20 0.4 0.4 78 Risk
05 Overcast with light snow -4 -4
NO
6
21 0.3 0.3 83 Risk
06 Overcast with light snow -4 -4
O
6
25 0.1 0.1 82 Risk
07 Overcast with light snow -5 -9
O
8
24 0.2 0.2 87 85% (7-13h) 85% (7-13h) 85% (7-13h) Risk
08 Overcast with light snow -5 -5
O
7
20 0.1 0.1 85 Risk
09 Overcast with thunderstorms and light rain showers -5 -5
O
6
20 0.1 0 84 Risk
10 Overcast -6 -6
O
6
17 0 0 85 Risk
11 Overcast -4 -4
O
4
17 0 0 75 Risk
12 Overcast -3 -3
O
4
19 0 0 72 Risk
13 Overcast -2 -2
NO
4
21 0 0 58 80% (13-19h) 80% (13-19h) 80% (13-19h) Risk
14 Overcast with light snow -2 -2
NO
5
20 0.2 0.2 65 Risk
15 Overcast with light snow -2 -2
NO
5
20 0.2 0.2 74 Risk
16 Overcast with light snow -3 -3
O
6
23 0.1 0.1 74 Risk
17 Overcast with light snow -2 -2
O
7
26 0.2 0.2 76 Risk
18 Overtcast with snow -2 -5
O
8
28 0.7 0.7 77 Risk
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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