• Nota informativa. Lluvias generalizadas en el norte y este peninsulares

Weather forecast by locations. Sant Ferriol (Girona)

Capital: Juïnyà (altitude: 361 m)
Latitude42° 11' 52'' N - Longitude2° 40' 8'' E -  PositionSee location
Warning zone: Prelitoral de Girona
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 19 23 Cloudless sky 25 25
O
8
17 0 0 60 0% (20-2h) 0% (20-2h) 0% (20-2h) No hazard
Thu 20 00 Cloudless sky 24 24
O
3
8 0 0 67 No hazard
01 Cloudless sky 23 23
SE
3
8 0 0 72 No hazard
02 Cloudless sky 22 22
SO
3
7 0 0 83 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Cloudless sky 22 22
S
3
8 0 0 85 No hazard
04 High clouds 21 21
SO
3
8 0 0 89 No hazard
05 High clouds 21 21
O
3
7 0 0 90 No hazard
06 High clouds 20 20
O
3
7 0 0 92 No hazard
07 High clouds 19 19
SO
3
5 0 0 99 No hazard
08 High clouds 20 20
O
2
5 0 0 94 20% (8-14h) 0% (8-14h) 20% (8-14h) No hazard
09 High clouds 22 22
O
2
6 0 0 81 No hazard
10 High clouds 24 24
N
1
13 0 0 68 No hazard
11 Partly cloudy 26 26
E
5
18 0 0 64 No hazard
12 Overcast 28 30
E
5
17 0 0 65 No hazard
13 Cloudless sky 30 31
NE
4
18 0 0 52 No hazard
14 Partly cloudy 32 34
S
5
23 0 0 47 80% (14-20h) 0% (14-20h) 80% (14-20h) Low hazard
15 Cloudless sky 33 35
S
7
35 0 0 44 Low hazard
16 High clouds 31 31
O
12
34 0 0 33 Low hazard
17 Overcast with thunderstorms 30 30
O
10
84 2 0 32 Low hazard
18 Overcast with thunderstorms and light rain showers 28 28
SO
18
38 0.1 0 50 Low hazard
19 Overcast 26 26
O
7
23 0 0 60 Low hazard
20 Overcast with light rain 24 24
SO
5
12 0.1 0 66 95% (20-2h) 0% (20-2h) 60% (20-2h) Low hazard
21 Cloudy intervals with light rain 22 22
N
5
15 0.1 0 76 Low hazard
22 Cloudy intervals with light rain 21 21
SO
6
12 0.1 0 83 Low hazard
23 Cloudy intervals with light rain 19 19
SO
4
9 0.1 0 92 Low hazard
Fri 21 00 Cloudy intervals with light rain 18 18
SO
3
8 0.1 0 98 Low hazard
01 Overcast with light rain 18 18
O
3
9 0.1 0 100 Low hazard
02 Cloudy intervals with light rain 18 18
SO
4
11 0.1 0 100 95% (2-8h) 0% (2-8h) 60% (2-8h) Low hazard
03 Cloudy intervals with light rain 18 18
SE
3
9 0.1 0 98 No hazard
04 Cloudy intervals with light rain 18 18
SO
4
11 0.1 0 100 No hazard
05 Overcast with light rain 18 18
O
4
9 0.1 0 96 No hazard
06 Overcast with light rain 17 17
O
4
10 0.1 0 99 No hazard
07 Overcast with light rain 16 16
SE
5
13 0.1 0 100 No hazard
08 Cloudy with light rain 17 17
E
6
13 0.1 0 100 100% (8-14h) 0% (8-14h) 25% (8-14h) No hazard
09 Cloudy intervals with light rain 19 19
S
3
11 0.1 0 87 No hazard
10 Cloudy intervals with light rain 21 21
SE
3
12 0.1 0 79 No hazard
11 Very cloudy with light rain 23 23
SE
3
16 0.1 0 73 No hazard
12 Very cloudy with light rain 22 22
E
5
24 0.1 0 75 No hazard
13 Overcast with light rain 24 24
E
9
34 0.1 0 63 No hazard
14 Overcast 23 23
E
12
27 0 0 60 100% (14-20h) 0% (14-20h) 15% (14-20h) No hazard
15 Overcast 24 24
E
6
16 0 0 55 No hazard
16 Partly cloudy 24 24
NE
6
20 0 0 54 No hazard
17 Overcast 25 25
NE
6
18 0 0 54 No hazard
18 Overcast 23 23
E
7
23 0 0 58 No hazard
19 Overcast with light rain 22 22
SE
8
20 0.1 0 65 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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