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Weather forecast by locations. Cambrils (Tarragona)

Capital: Cambrils (altitude: 24 m)
Latitude41° 4' 28'' N - Longitude1° 3' 6'' E -  PositionSee location
Warning zone: Litoral sur de Tarragona
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
Sun 28 08 Cloudy intervals with light rain 11 11
NE
12
32 0.7 0 91 100% (7-13h) 0% (7-13h) 75% (7-13h) No hazard
09 Overcast with thunderstorms and light rain showers 11 11
NE
17
19 0.3 0 87 No hazard
10 Cloudy with thunderstorms and light rain showers 11 11
NE
11
28 0.6 0 87 No hazard
11 Cloudy with thunderstorms and light rain showers 12 12
NE
16
20 0.1 0 86 No hazard
12 Overcast 13 13
NE
12
20 0 0 80 No hazard
13 Cloudy intervals with light rain 14 14
E
11
29 0.1 0 77 85% (13-19h) 0% (13-19h) 70% (13-19h) No hazard
14 High clouds 14 14
E
18
26 0 0 74 No hazard
15 High clouds 15 15
E
15
26 0 0 73 No hazard
16 High clouds 14 14
E
16
20 0 0 79 No hazard
17 High clouds 14 14
E
12
13 0 0 83 No hazard
18 Overcast with light rain 13 13
E
8
12 0.1 0 84 No hazard
19 Very cloudy 13 13
NE
8
11 0 0 87 85% (19-1h) 0% (19-1h) 80% (19-1h) No hazard
20 Overcast with thunderstorms and light rain showers 13 13
NE
8
13 0.1 0 86 No hazard
21 Cloudy intervals with light rain 12 12
NE
8
15 0.1 0 86 No hazard
22 Cloudy with thunderstorms and light rain showers 12 12
NE
8
16 0.1 0 86 No hazard
23 Cloudy intervals with light rain 12 12
NE
9
15 0.1 0 85 No hazard
Mon 29 00 Cloudy intervals with light rain 12 12
NE
9
14 0.1 0 85 No hazard
01 Cloudy with light rain 12 12
NE
7
17 0.1 0 84 70% (1-7h) 0% (1-7h) 70% (1-7h) No hazard
02 Overcast with light rain 11 11
NE
11
14 0.1 0 82 No hazard
03 Cloudy with light rain 10 10
NE
9
17 0.1 0 82 No hazard
04 Overcast with light rain 9 7
NE
10
12 0.1 0 84 No hazard
05 Cloudy intervals with light rain 9 9
NE
7
9 0.1 0 86 No hazard
06 Cloudy with light rain 9 9
NE
5
8 0.1 0 83 No hazard
07 Overcast 10 10
NO
6
8 0 0 81 80% (7-13h) 0% (7-13h) 70% (7-13h) No hazard
08 Overcast 10 10
NO
6
9 0 0 74 No hazard
09 Overcast 10 10
NO
6
11 0 0 72 No hazard
10 Overcast 11 11
NO
7
8 0 0 72 No hazard
11 Overcast with thunderstorms and light rain showers 12 12
N
3
10 0.1 0 75 No hazard
12 Overcast 13 13
NE
5
10 0 0 77 No hazard
13 Overcast 14 14
N
5
11 0 0 73 75% (13-19h) 0% (13-19h) 75% (13-19h) No hazard
14 Overcast 14 14
NO
7
16 0 0 75 No hazard
15 Overcast 14 14
NO
10
15 0 0 76 No hazard
16 Overcast 14 14
NO
10
14 0 0 78 No hazard
17 Overcast with thunderstorms and light rain showers 13 13
NO
8
11 0.9 0 82 No hazard
18 Overcast with thunderstorms and light rain showers 13 13
NO
7
13 0.1 0 90 No hazard
19 Overcast 12 12
NO
8
15 Ip 0 92 15% (19-1h) 0% (19-1h) 15% (19-1h) No hazard
20 Overcast 11 11
NO
9
13 0 0 93 No hazard
21 Overcast 10 10
N
6
16 Ip 0 95 No hazard
22 Overcast 10 10
NO
10
20 Ip 0 99 No hazard
23 Overcast 9 7
NO
13
14 0 0 99 No hazard
Tue 30 00 Partly cloudy 8 7
NO
8
11 0 0 96 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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