Weather forecast by locations. Papiol, El (Barcelona)

Capital: Papiol, El (altitude: 136 m)
Latitude41° 26' 19'' N - Longitude2° 0' 37'' E -  PositionSee location
Warning zone: Litoral de Barcelona
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 26 01 Cloudy intervals with light rain 24 24
SO
5
10 0.1 0 71 75% (2-8h) 0% (2-8h) 75% (2-8h) Low hazard
02 Cloudy intervals with light rain 23 23
SO
6
10 0.1 0 69 Low hazard
03 Overcast with thunderstorms and light rain showers 23 23
O
5
12 0.1 0 70 Low hazard
04 Very cloudy with thunderstorms and light rain showers 23 23
O
7
21 0.1 0 76 Low hazard
05 Overcast with thunderstorms and light rain showers 23 23
O
9
17 0.1 0 45 Low hazard
06 Cloudy intervals with light rain 21 21
O
6
17 0.1 0 50 Low hazard
07 Cloudy intervals with light rain 20 20
NO
9
19 0.1 0 60 Low hazard
08 Cloudy intervals 21 21
NO
10
22 0 0 59 35% (8-14h) 0% (8-14h) 35% (8-14h) No hazard
09 Cloudy intervals 23 23
NO
11
23 0 0 52 No hazard
10 Cloudy intervals 25 25
NO
10
22 0 0 45 No hazard
11 Cloudy intervals 27 27
NO
5
15 0 0 40 No hazard
12 Cloudy intervals 29 29
O
3
16 0 0 36 No hazard
13 Cloudy intervals 30 30
O
3
19 0 0 31 No hazard
14 Cloudy intervals with light rain 32 32
S
5
33 0.1 0 28 65% (14-20h) 0% (14-20h) 45% (14-20h) No hazard
15 Cloudy intervals with light rain 31 31
S
14
36 0.1 0 34 No hazard
16 Cloudy intervals with light rain 30 30
S
16
40 0.1 0 36 No hazard
17 Cloudy intervals with light rain 30 30
S
19
39 0.1 0 37 No hazard
18 Cloudy intervals with light rain 29 29
S
15
32 0.1 0 36 No hazard
19 Cloudy intervals with light rain 28 28
S
13
29 0.1 0 41 No hazard
20 Cloudless sky 27 28
SE
14
27 0 0 56 5% (20-2h) 0% (20-2h) 5% (20-2h) No hazard
21 Cloudy 26 26
SE
11
20 0 0 64 No hazard
22 Very cloudy 25 25
SE
8
19 0 0 68 No hazard
23 Very cloudy 24 24
SE
10
19 0 0 74 No hazard
Mon 27 00 Overcast 24 24
S
8
16 0 0 77 No hazard
01 Cloudy intervals 23 23
S
7
14 Ip 0 79 No hazard
02 Partly cloudy 23 23
SE
4
7 0 0 94 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Cloudless sky 22 22
O
2
8 0 0 97 No hazard
04 Cloudless sky 22 22
O
5
9 0 0 92 No hazard
05 Cloudless sky 22 22
O
5
11 0 0 89 No hazard
06 Cloudless sky 21 21
O
6
12 0 0 90 No hazard
07 Partly cloudy 22 22
O
7
11 0 0 87 No hazard
08 Cloudy intervals 22 22
NO
5
9 0 0 87 20% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
09 Cloudy intervals 24 24
NE
4
20 0 0 79 No hazard
10 Cloudy intervals 26 26
E
9
22 0 0 71 No hazard
11 Cloudy intervals 28 30
SE
10
27 0 0 64 No hazard
12 Cloudy intervals 30 33
SE
12
29 0 0 60 No hazard
13 Cloudy intervals 31 34
SE
13
34 0 0 55 No hazard
14 Partly cloudy 30 31
SE
16
34 0 0 51 5% (14-20h) 0% (14-20h) 0% (14-20h) No hazard
15 Cloudless sky 31 31
SE
14
32 0 0 43 No hazard
16 Cloudless sky 31 31
S
13
31 0 0 39 No hazard
17 Cloudless sky 31 31
S
14
31 0 0 37 No hazard
18 Cloudless sky 30 30
S
14
30 0 0 40 No hazard
19 Cloudless sky 30 30
S
10
23 0 0 45 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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