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Weather forecast by locations. Vilamacolum (Girona)

Capital: Vilamacolum (altitude: 6 m)
Latitude: 42° 11' 41'' N - Longitude: 3° 3' 30'' E -  Position: See location
Warning zone: Ampurdán
Download the XML archive of the hourly weather forecast for Vilamacolum
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
Tue 15 19 Partly cloudy 30 30
NO
31
 46 0 0 44 40% (14-20h) 0% (14-20h) 40% (14-20h) No risk
20 Cloudless sky 29 29
N
30
 44 0 0 46 0% (20-2h) 0% (20-2h) 0% (20-2h) Risk
21 Cloudless sky 28 28
N
29
 41 0 0 49 Risk
22 Cloudless sky 26 26
N
27
 47 0 0 51 Risk
23 Cloudless sky 25 25
N
31
 51 0 0 54 Risk
Wed 16 00 Cloudless sky 25 25
N
34
 49 0 0 54 Risk
01 Cloudless sky 24 24
N
32
 43 0 0 53 Risk
02 Cloudless sky 24 24
N
28
 35 0 0 55 0% (2-8h) 0% (2-8h) 0% (2-8h) Risk
03 Cloudless sky 23 23
N
22
 31 0 0 56 Risk
04 Cloudless sky 23 23
N
20
 25 0 0 57 Risk
05 Cloudless sky 22 22
N
17
 23 0 0 58 Risk
06 Partly cloudy 22 22
N
15
 20 0 0 61 No risk
07 Cloudless sky 21 21
N
13
 20 0 0 66 No risk
08 Cloudless sky 22 22
N
13
 19 0 0 63 0% (8-14h) 0% (8-14h) 0% (8-14h) No risk
09 Cloudless sky 25 25
N
11
 17 0 0 54 No risk
10 Cloudless sky 27 27
N
9
 16 0 0 47 No risk
11 Cloudless sky 29 29
NO
7
 16 0 0 46 No risk
12 Cloudless sky 31 32
N
5
 28 0 0 44 Risk
13 Cloudless sky 32 32
N
14
 31 0 0 35 Risk
14 Cloudless sky 33 33
N
16
 28 0 0 32 0% (14-20h) 0% (14-20h) 0% (14-20h) Risk
15 Cloudless sky 34 34
N
12
 25 0 0 32 Risk
16 Cloudless sky 32 32
E
11
 32 0 0 39 Risk
17 Cloudless sky 32 32
SE
17
 26 0 0 41 Risk
18 Cloudless sky 33 35
E
14
 19 0 0 46 Risk
19 Cloudless sky 32 33
E
10
 18 0 0 45 Risk
20 Cloudless sky 31 33
E
10
 9 0 0 50 0% (20-2h) 0% (20-2h) 0% (20-2h) No risk
21 Cloudless sky 28 29
NE
4
 12 0 0 59 No risk
22 Cloudless sky 26 26
N
9
 13 0 0 49 No risk
23 Cloudless sky 27 27
N
7
 23 0 0 40 No risk
Thu 17 00 Cloudless sky 27 27
N
15
 27 0 0 40 No risk
01 Cloudless sky 26 26
N
18
 19 0 0 39 No risk
02 Cloudless sky 25 25
N
10
 11 0 0 40 0% (2-8h) 0% (2-8h) 0% (2-8h) No risk
03 Cloudless sky 24 24
NO
9
 19 0 0 41 No risk
04 Cloudless sky 23 23
N
13
 19 0 0 43 No risk
05 Cloudless sky 23 23
NO
13
 16 0 0 46 No risk
06 Cloudless sky 22 22
NO
10
 9 0 0 47 No risk
07 Cloudless sky 23 23
NO
6
 10 0 0 47 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:
Castelló d'Empúries (Location:  Castelló d'Empúries) to 4,37 km - Altitude 2 m
Figueres (Location:  Figueres) to 10,79 km - Altitude 45 m
L'Estartit (Location:  Torroella de Montgrí) to 19,62 km - Altitude 1 m
Espolla (Location:  Espolla) to 22,11 km - Altitude 100 m
Cabo de Creus (Location:  Cadaqués) to 25,26 km - Altitude 75 m
Porqueres (Location:  Porqueres) to 26,31 km - Altitude 157 m
Girona (Location:  Girona) to 31,66 km - Altitude 76 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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