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

Weather forecast by locations. Callosa d'en Sarrià (Alacant/Alicante)

Capital: Callosa d'en Sarrià (altitude: 250 m)
Latitude38° 39' 5'' N - Longitude0° 7' 20'' W -  PositionSee location
Warning zone: Litoral norte de Alicante
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
Thu 20 02 Very cloudy with light rain 29 29
NO
13
27 0.1 0 31 70% (2-8h) 0% (2-8h) 65% (2-8h) No hazard
03 Overcast with light rain 28 28
O
10
21 0.1 0 30 No hazard
04 Overcast with light rain 29 29
O
10
52 0.1 0 32 No hazard
05 Cloudy intervals with light rain 29 29
O
19
39 0.1 0 34 No hazard
06 Cloudy intervals with light rain 27 27
S
6
13 0.1 0 41 No hazard
07 Cloudy intervals with light rain 26 26
SO
3
9 0.1 0 46 No hazard
08 Cloudy intervals with light rain 27 27
NO
5
9 0.1 0 42 65% (8-14h) 0% (8-14h) 65% (8-14h) No hazard
09 Cloudy intervals with light rain 29 29
SO
2
6 0.1 0 37 No hazard
10 Cloudy intervals with light rain 31 31
E
3
16 0.1 0 33 No hazard
11 Cloudy intervals with light rain 33 33
S
7
22 0.1 0 29 No hazard
12 Cloudy intervals with light rain 34 34
SO
8
32 0.1 0 28 Low hazard
13 Cloudy intervals with light rain 33 33
S
12
36 0.1 0 31 Low hazard
14 Cloudy intervals with light rain 33 34
S
14
43 0.1 0 42 100% (14-20h) 0% (14-20h) 90% (14-20h) Low hazard
15 Cloudy intervals with light rain 33 35
S
15
52 0.1 0 46 Low hazard
16 Cloudy intervals with light rain 31 34
SO
23
47 0.1 0 55 Low hazard
17 Overcast with thunderstorms and light rain showers 32 32
S
10
36 0.1 0 40 Low hazard
18 Overcast with thunderstorms and light rain showers 29 30
S
11
31 0.1 0 56 Low hazard
19 Cloudy intervals with light rain 25 25
E
11
63 0.1 0 74 Low hazard
20 Cloudy intervals 26 26
NO
20
50 0 0 45 30% (20-2h) 0% (20-2h) 30% (20-2h) Low hazard
21 Cloudy intervals 25 25
O
25
52 0 0 42 Low hazard
22 Cloudy intervals 24 24
E
13
26 0 0 43 No hazard
23 Cloudy intervals 23 23
E
7
21 0 0 63 No hazard
Fri 21 00 Cloudy intervals 23 23
NE
7
13 0 0 73 No hazard
01 Cloudy intervals 23 23
N
2
11 0 0 75 No hazard
02 Cloudless sky 23 23
N
6
11 0 0 73 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Cloudless sky 23 23
NE
4
25 0 0 61 No hazard
04 Cloudless sky 23 23
NO
11
37 0 0 52 No hazard
05 Cloudless sky 23 23
NO
15
33 0 0 54 No hazard
06 Cloudless sky 22 22
NO
14
33 0 0 57 No hazard
07 Cloudless sky 21 21
NO
15
33 0 0 60 No hazard
08 Cloudless sky 22 22
NO
11
23 0 0 57 15% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
09 High clouds 24 24
NO
10
29 0 0 48 No hazard
10 Partly cloudy 27 27
NO
12
28 0 0 41 No hazard
11 High clouds 30 30
N
4
22 0 0 35 No hazard
12 Partly cloudy 30 30
SE
7
30 0 0 46 No hazard
13 Partly cloudy 31 31
SE
12
33 0 0 40 No hazard
14 Partly cloudy 30 30
SE
14
39 0 0 43 25% (14-20h) 0% (14-20h) 25% (14-20h) No hazard
15 Cloudy 30 31
SE
17
40 0 0 49 No hazard
16 Overcast 30 31
SE
14
34 0 0 52 No hazard
17 Overcast 30 32
SE
14
33 Ip 0 56 No hazard
18 Partly cloudy 29 32
SE
13
28 0 0 63 No hazard
19 Cloudless sky 28 30
SE
10
22 0 0 63 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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