• Predicción especial. Semana Santa

Weather forecast by locations. Pobla de Segur, La (Lleida)

Capital: Pobla de Segur, La (altitude: 526 m)
Latitude42° 14' 51'' N - Longitude0° 58' 4'' E -  PositionSee location
Warning zone: Pirineo de Lleida
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 11 Partly cloudy 14 14
NE
18
40 0 0 35 0% (7-13h) 0% (7-13h) 0% (7-13h) No hazard
12 Partly cloudy 16 16
NE
22
43 0 0 31 No hazard
13 Cloudless sky 18 18
NE
23
42 0 0 27 0% (13-19h) 0% (13-19h) 0% (13-19h) No hazard
14 Partly cloudy 19 19
NE
22
45 0 0 26 No hazard
15 High clouds 18 18
NE
25
49 0 0 27 No hazard
16 Overcast 17 17
NE
28
49 0 0 29 No hazard
17 Overcast 17 17
NE
26
44 0 0 32 No hazard
18 Very cloudy 16 16
NE
21
36 0 0 34 Low hazard
19 Cloudy intervals with light snow showers 15 15
NE
14
23 0.1 0.1 36 65% (19-1h) 50% (19-1h) 65% (19-1h) Low hazard
20 Cloudy intervals with light snow showers 14 14
N
11
44 0.1 0.1 39 Low hazard
21 Cloudy intervals with light snow showers 13 13
NE
25
42 0.1 0.1 34 Low hazard
22 Cloudy intervals with light snow showers 12 12
N
16
27 0.1 0.1 39 Low hazard
23 Cloudy intervals with light snow showers 11 11
N
12
43 0.1 0.1 36 Low hazard
Sun 29 00 Cloudy intervals with light snow showers 10 10
NE
21
35 0.1 0.1 39 Important hazard
01 Partly cloudy 8 8
N
5
18 0 0 36 90% (2-8h) 90% (2-8h) 0% (2-8h) Important hazard
03 Partly cloudy 7 5
N
11
23 0 0 36 Important hazard
04 Very cloudy 6 3
N
13
44 0 0 41 Important hazard
05 Cloudy with light snow showers 5 1
N
23
48 0.1 0.1 44 Important hazard
06 Partly cloudy 4 -1
N
30
54 0 0 44 Important hazard
07 Partly cloudy 4 -1
N
28
51 0 0 39 Important hazard
08 Partly cloudy 3 -3
N
30
56 0 0.1 44 75% (8-14h) 75% (8-14h) 0% (8-14h) Important hazard
09 Cloudy intervals with light snow showers 3 -3
N
34
69 0.1 0.1 46 Important hazard
10 Cloudy intervals with light snow showers 3 -4
N
43
75 0.1 0.1 46 Important hazard
11 Cloudless sky 4 -2
N
47
81 0 0 44 Important hazard
12 Cloudless sky 5 -1
N
50
91 0 0.1 40 Important hazard
13 Cloudless sky 7 1
N
59
97 0 0 35 Important hazard
14 Cloudless sky 8 2
N
62
96 0 0 29 5% (14-20h) 5% (14-20h) 0% (14-20h) Important hazard
15 Cloudless sky 9 4
NE
59
97 0 0 29 Important hazard
16 Cloudless sky 9 4
NE
58
94 0 0 28 Important hazard
17 Cloudless sky 10 10
NE
48
79 0 0 27 Important hazard
18 Cloudless sky 9 4
NE
47
79 0 0 30 Important hazard
19 Cloudless sky 9 4
NE
49
80 0 0 33 Important hazard
20 Cloudless sky 8 3
NE
46
74 0 0 36 0% (20-2h) 0% (20-2h) 0% (20-2h) Important hazard
21 Cloudless sky 8 3
NE
39
67 0 0 37 Important hazard
22 Cloudless sky 7 2
N
42
67 0 0 38 Important hazard
23 Cloudless sky 7 2
NE
42
67 0 0 41 Important hazard
Mon 30 00 Cloudless sky 6 2
NE
26
50 0 0 43 No hazard
01 Cloudless sky 5 0
NE
26
44 0 0 45 No hazard
02 Partly cloudy 4 0
N
21
36 0 0 47 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 High clouds 4 0
NE
21
35 0 0 49 No hazard
04 High clouds 3 0
N
13
21 0 0 52 No hazard
05 High clouds 2 -1
N
9
15 0 0 55 No hazard
06 High clouds 2 2
NO
6
9 0 0 54 No hazard
07 High clouds 2 2
O
5
10 0 0 53 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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