Weather forecast by locations. Sant Hilari Sacalm (Girona)

Capital: Sant Hilari Sacalm (altitude: 798 m)
Latitude: 41° 52' 44'' N - Longitude: 2° 30' 30'' E -  Position: See 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
Mon 19 09 Overcast with light rain 8 6
N
14
32 0.2 0 100 100% (8-14h) 0% (8-14h) 55% (8-14h) No hazard
10 Overcast with light rain 9 7
N
14
37 1 0 100 No hazard
11 Overcast with light rain 9 6
N
17
37 1 0 100 No hazard
12 Overcast with light rain 10 10
N
15
32 1 0 100 No hazard
13 Overcast with rain/rain showers 11 11
N
13
30 3 0 100 No hazard
14 Overcast with rain/rain showers 12 12
N
12
34 3 0 100 100% (14-20h) 0% (14-20h) 55% (14-20h) No hazard
15 Overcast with rain/rain showers 12 12
N
13
30 6 0 100 No hazard
16 Fog 12 12
NE
6
15 0 0 100 Important hazard
17 Fog 13 13
NE
6
19 0 0 100 Important hazard
18 Fog 13 13
NE
4
11 0 0 100 Important hazard
19 Fog 13 13
E
2
11 0 0 100 Important hazard
20 Overcast with light rain 13 13
E
4
17 0.1 0 100 90% (20-2h) 0% (20-2h) 60% (20-2h) Important hazard
21 Fog 12 12
SE
6
16 0 0 100 Important hazard
22 Fog 12 12
SE
7
21 0 0 100 Important hazard
23 Overcast with light rain 12 12
SE
9
25 0.1 0 100 Important hazard
Tue 20 00 Overcast with light rain 11 11
SE
11
34 1 0 100 Important hazard
01 Overcast with light rain 11 11
SE
15
38 0.6 0 100 Important hazard
02 Overcast with rain/rain showers 11 11
SE
16
38 4 0 100 100% (2-8h) 0% (2-8h) 70% (2-8h) Important hazard
03 Overcast with rain/rain showers 12 12
SE
15
56 16 0 100 Important hazard
04 Overcast with rain/rain showers 12 12
S
13
45 14 0 100 Low hazard
05 Overcast with rain/rain showers 12 12
S
15
52 3 0 100 Low hazard
06 Very cloudy with rain/rain showers 11 11
S
20
59 2 0 100 Low hazard
07 Overcast 11 11
SO
19
41 0 0 100 No hazard
08 Partly cloudy 11 11
SO
11
25 0 0 100 100% (8-14h) 0% (8-14h) 55% (8-14h) No hazard
09 Cloudy intervals with light rain 11 11
O
4
23 0.1 0 100 No hazard
10 Cloudy 11 11
O
9
40 0 0 100 No hazard
11 Partly cloudy 11 11
O
17
47 0 0 89 No hazard
12 Cloudy 12 12
O
17
40 0 0 80 No hazard
13 Cloudy 13 13
N
2
21 0 0 78 No hazard
14 Very cloudy with light rain 14 14
SO
8
21 0.1 0 78 100% (14-20h) 0% (14-20h) 65% (14-20h) No hazard
15 Overcast with light rain 14 14
SE
7
21 0.2 0 91 No hazard
16 Overcast with light rain 16 16
SE
8
19 0.1 0 89 No hazard
17 Overcast with light rain 15 15
S
8
22 0.4 0 89 No hazard
18 Cloudy intervals with light rain 14 14
SO
5
14 0.3 0 90 No hazard
19 Partly cloudy 13 13
SO
3
9 0 0 90 No hazard
20 Cloudy 12 12
SO
3
7 0 0 90 60% (20-2h) 0% (20-2h) 60% (20-2h) No hazard
21 Very cloudy with light rain 11 11
S
3
13 0.1 0 92 No hazard
22 Overcast with light rain 9 9
S
5
13 0.2 0 100 No hazard
23 Fog 8 8
SO
5
13 0 0 100 No hazard
Wed 21 00 Mist 8 8
S
3
12 0 0 100 No hazard
01 Fog 8 8
S
5
12 0 0 100 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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