• Predicción especial. Semana Santa

Weather forecast by locations. Pont de Molins (Girona)

Capital: Pont de Molins (altitude: 56 m)
Latitude42° 18' 56'' N - Longitude2° 55' 18'' E -  PositionSee location
Warning zone: Ampurdán
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 27 04 Partly cloudy 8 5
NO
17
31 0 0 54 0% (1-7h) 0% (1-7h) 0% (1-7h) Important hazard
05 Partly cloudy 8 5
NO
17
30 0 0 58 Important hazard
06 Cloudless sky 8 5
N
16
31 0 0 60 Important hazard
07 Cloudless sky 8 5
N
18
36 0 0 59 0% (7-13h) 0% (7-13h) 0% (7-13h) Important hazard
08 Cloudless sky 9 6
NO
20
46 0 0 55 Important hazard
09 Cloudless sky 10 10
N
26
53 0 0 52 Important hazard
10 Cloudless sky 11 11
NO
29
55 0 0 45 Important hazard
11 Cloudless sky 12 12
NO
30
57 0 0 39 Important hazard
12 Cloudless sky 13 13
NO
32
58 0 0 34 Important hazard
13 Cloudless sky 14 14
NO
32
59 0 0 31 0% (13-19h) 0% (13-19h) 0% (13-19h) Important hazard
14 Cloudless sky 15 15
NO
34
64 0 0 29 Important hazard
15 Cloudless sky 15 15
NO
38
64 0 0 26 Important hazard
16 Cloudless sky 15 15
NO
38
63 0 0 26 Important hazard
17 Cloudless sky 14 14
NO
37
61 0 0 26 Important hazard
18 Cloudless sky 13 13
NO
35
57 0 0 28 Important hazard
19 Cloudless sky 12 12
N
32
53 0 0 30 0% (19-1h) 0% (19-1h) 0% (19-1h) Important hazard
20 Cloudless sky 12 12
N
33
53 0 0 32 Important hazard
21 Partly cloudy 11 11
NO
32
53 0 0 35 Important hazard
22 High clouds 11 11
NO
33
54 0 0 37 Important hazard
23 High clouds 10 10
NO
33
52 0 0 39 Important hazard
Sat 28 00 Partly cloudy 10 10
N
32
51 0 0 41 Important hazard
01 Partly cloudy 9 5
N
30
50 0 0 43 0% (1-7h) 0% (1-7h) 0% (1-7h) Important hazard
02 Partly cloudy 9 5
N
30
50 0 0 44 Important hazard
03 Partly cloudy 8 4
NO
28
46 0 0 47 Important hazard
04 Partly cloudy 7 3
NO
26
42 0 0 49 Important hazard
05 Partly cloudy 7 3
NO
25
44 0 0 51 Important hazard
06 Partly cloudy 6 2
NO
27
49 0 0 53 Important hazard
07 Partly cloudy 6 1
NO
30
53 0 0 56 0% (7-13h) 0% (7-13h) 0% (7-13h) Important hazard
08 Partly cloudy 8 4
NO
33
56 0 0 53 Important hazard
09 Partly cloudy 11 11
NO
34
60 0 0 49 Important hazard
10 High clouds 13 13
NO
36
66 0 0 43 Important hazard
11 Partly cloudy 14 14
NO
40
69 0 0 40 Important hazard
12 Very cloudy 16 16
NO
41
69 0 0 38 Important hazard
13 Overcast 17 17
NO
41
69 0 0 36 20% (13-19h) 0% (13-19h) 20% (13-19h) Important hazard
14 Overcast 18 18
NO
38
63 0 0 33 Important hazard
15 Overcast 17 17
NO
31
50 0 0 35 Important hazard
16 Overcast 17 17
NO
27
44 0 0 37 Important hazard
17 Overcast 16 16
NO
22
36 0 0 40 Important hazard
18 Overcast 15 15
N
22
50 0 0 46 Important 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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