Weather forecast by locations. Peraleda de San Román (Cáceres)

Capital: Peraleda de San Román (altitude: 470 m)
Latitude39° 44' 27'' N - Longitude5° 23' 11'' W -  PositionSee location
Warning zone: Tajo y Alagón
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 04 16 Overcast with light rain 11 11
SO
19
33 0.4 0 78 100% (13-19h) 0% (13-19h) 40% (13-19h) No hazard
17 Overcast with light rain 11 11
SO
19
29 1 0 81 No hazard
18 Overcast with light rain 11 11
SO
17
29 0.8 0 82 No hazard
19 Overcast with light rain 11 11
SO
16
41 0.8 0 87 100% (19-1h) 0% (19-1h) 40% (19-1h) No hazard
20 Overcast with light rain 11 11
SO
24
42 1 0 89 No hazard
21 Overcast with light rain 12 12
SO
24
46 0.8 0 90 No hazard
22 Overcast with light rain 12 12
SO
26
56 0.1 0 90 No hazard
23 Overcast with light rain 12 12
SO
31
48 0.1 0 93 No hazard
Thu 05 00 Overcast with light rain 12 12
SO
25
50 0.6 0 94 Low hazard
01 Overcast with light rain 13 13
SO
29
41 1 0 94 100% (1-7h) 0% (1-7h) 60% (1-7h) Low hazard
02 Overcast with light rain 13 13
SO
21
45 1 0 94 Low hazard
03 Overcast with light rain 12 12
SO
25
45 1 0 93 Low hazard
04 Overcast with light rain 12 12
SO
25
37 1 0 91 Low hazard
05 Overcast with rain/rain showers 12 12
SO
21
40 2 0 92 Low hazard
06 Overcast with rain/rain showers 12 12
SO
22
50 3 0 91 Low hazard
07 Overcast with rain/rain showers 13 13
SO
28
60 2 0 93 100% (7-13h) 0% (7-13h) 65% (7-13h) Low hazard
08 Overcast with rain/rain showers 13 13
SO
35
64 2 0 96 Low hazard
09 Overcast with rain/rain showers 12 12
SO
36
47 2 0 96 Low hazard
10 Overcast with light rain 12 12
SO
28
62 0.8 0 96 Low hazard
11 Overcast with light rain 13 13
SO
36
57 0.1 0 88 Low hazard
12 Overcast with light rain 13 13
O
28
54 1 0 81 Low hazard
13 Overcast 14 14
SO
31
60 0 0 76 100% (13-19h) 0% (13-19h) 75% (13-19h) Low hazard
14 Overcast with thunderstorms and light rain showers 14 14
O
35
49 0.7 0 66 Low hazard
15 Overcast with thunderstorms and light rain showers 12 12
SO
27
52 0.2 0 80 Low hazard
16 Cloudy intervals with light rain 12 12
SO
25
52 0.8 0 80 Low hazard
17 Very cloudy 13 13
O
30
47 0 0 73 Low hazard
18 Cloudy intervals with rain showers 12 12
SO
25
44 4 0 77 No hazard
19 Overcast 11 11
O
16
41 0 0 84 100% (19-1h) 0% (19-1h) 85% (19-1h) No hazard
20 Overcast 11 11
SO
23
45 0 0 86 No hazard
21 Overcast 10 10
O
25
43 0 0 82 No hazard
22 Overcast with thunderstorms and light rain showers 10 10
SO
24
38 0.4 0 86 No hazard
23 Partly cloudy 9 6
SO
21
36 0 0 86 No hazard
Fri 06 00 Overcast 9 6
SO
20
37 0 0 86 No hazard
01 Cloudless sky 9 6
SO
21
36 0 0 88 100% (1-7h) 0% (1-7h) 90% (1-7h) No hazard
02 Overcast with thunderstorms and light rain showers 9 6
SO
21
29 0.2 0 86 No hazard
03 Cloudy intervals with light rain 9 7
SO
16
38 0.3 0 91 No hazard
04 Very cloudy 9 6
SO
20
24 0 0 87 No hazard
05 Very cloudy 8 6
SO
14
24 0 0 87 No hazard
06 Overcast 8 6
SO
14
24 0 0 91 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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