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Weather forecast by locations. Tortosa (Tarragona)

Capital: Tortosa (altitude: 49 m)
Latitude: 40° 48' 39'' N - Longitude: 0° 31' 30'' E -  Position: See location
Warning zone: Prelitoral sur de Tarragona
Download the XML archive of the hourly weather forecast for Tortosa
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
Fri 29 06 Cloudless sky 19 19
N
16
 27 0 0 53 0% (2-8h) 0% (2-8h) 0% (2-8h) No risk
07 Cloudless sky 18 18
N
17
 32 0 0 54 No risk
08 Partly cloudy 18 18
N
20
 37 0 0 53 0% (8-14h) 0% (8-14h) 0% (8-14h) No risk
09 Cloudless sky 21 21
N
24
 33 0 0 44 No risk
10 Partly cloudy 25 25
N
19
 28 0 0 37 No risk
11 Partly cloudy 28 28
N
8
 35 0 0 32 No risk
12 High clouds 29 29
NO
19
 38 0 0 26 No risk
13 Partly cloudy 31 31
NO
20
 36 0 0 25 No risk
14 High clouds 32 32
NO
18
 33 0 0 23 5% (14-20h) 0% (14-20h) 0% (14-20h) No risk
15 High clouds 33 33
NO
17
 34 0 0 24 No risk
16 High clouds 31 31
NO
17
 33 0 0 22 No risk
17 High clouds 32 32
NO
16
 29 0 0 23 No risk
18 Partly cloudy 31 31
NO
15
 33 0 0 25 No risk
19 Partly cloudy 29 29
NO
19
 26 0 0 27 No risk
20 Cloudless sky 28 28
N
14
 7 0 0 28 0% (20-2h) 0% (20-2h) 0% (20-2h) No risk
21 Cloudless sky 27 27
NE
3
 6 0 0 31 No risk
22 Cloudless sky 26 26
O
4
 6 0 0 34 No risk
23 Cloudless sky 25 25
NE
3
 11 0 0 37 No risk
Sat 30 00 Cloudless sky 24 24
N
8
 11 0 0 40 No risk
01 Partly cloudy 23 23
N
7
 19 0 0 44 No risk
02 Cloudless sky 22 22
NO
12
 29 0 0 48 0% (2-8h) 0% (2-8h) 0% (2-8h) No risk
03 Cloudless sky 21 21
NO
16
 14 0 0 50 No risk
04 Cloudless sky 21 21
NO
3
 4 0 0 53 No risk
05 Cloudless sky 21 21
E
3
 7 0 0 53 No risk
06 Cloudless sky 20 20
E
4
 13 0 0 58 No risk
07 Cloudless sky 19 19
NE
9
 17 0 0 65 No risk
08 Cloudless sky 20 20
NE
11
 20 0 0 65 0% (8-14h) 0% (8-14h) 0% (8-14h) No risk
09 Cloudless sky 23 23
N
13
 39 0 0 56 No risk
10 Cloudless sky 25 25
NO
24
 32 0 0 47 No risk
11 Cloudless sky 28 28
NO
17
 33 0 0 40 No risk
12 Cloudless sky 30 30
N
18
 31 0 0 36 No risk
13 Cloudless sky 31 31
NO
15
 29 0 0 32 No risk
14 Cloudless sky 33 33
NO
13
 25 0 0 29 0% (14-20h) 0% (14-20h) 0% (14-20h) No risk
15 Cloudless sky 34 34
N
9
 37 0 0 26 No risk
16 Cloudless sky 33 33
S
19
 37 0 0 31 No risk
17 Partly cloudy 32 32
S
20
 38 0 0 32 No risk
18 Partly cloudy 30 30
S
22
 36 0 0 36 No risk
19 Partly cloudy 29 29
S
21
 34 0 0 42 No 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:
Estación de Tortosa (Roquetes) (Location:  Roquetes) to 2,86 km - Altitude 50 m
Rasquera (Location:  Rasquera) to 22,82 km - Altitude 112 m
Horta de Sant Joan (Location:  Horta de Sant Joan) to 23,9 km - Altitude 495 m
Valderrobres (Location:  Valderrobres) to 32,59 km - Altitude 483 m
La Pobla de Benifassà-Fredes (Location:  Pobla de Benifassà, la) to 32,99 km - Altitude 1165 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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