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
Tue 08 11 Cloudless sky 33 33
S
7
22 0 0 18 0% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
12 Cloudless sky 34 34
S
8
27 0 0 18 No hazard
13 Cloudless sky 35 35
SO
10
29 0 0 18 Low hazard
14 Cloudless sky 34 34
SO
11
29 0 0 21 0% (14-20h) 0% (14-20h) 0% (14-20h) Low hazard
15 Partly cloudy 34 34
SO
8
24 0 0 23 Low hazard
16 High clouds 33 33
S
7
22 0 0 25 Low hazard
17 Cloudless sky 33 33
SE
6
18 0 0 28 Low hazard
18 Cloudless sky 31 31
SE
4
14 0 0 34 Low hazard
19 Cloudless sky 30 30
S
3
18 0 0 39 Low hazard
20 Cloudless sky 28 30
NE
8
18 0 0 61 0% (20-2h) 0% (20-2h) 0% (20-2h) Low hazard
21 Partly cloudy 27 28
NE
6
13 0 0 64 No hazard
22 Cloudless sky 27 29
NE
5
9 0 0 66 No hazard
23 Very cloudy 26 26
NE
1
23 0 0 62 No hazard
Wed 09 00 Very cloudy 26 26
SO
9
19 0 0 29 No hazard
01 Cloudless sky 26 26
N
6
17 0 0 52 No hazard
02 High clouds 26 26
NO
9
42 0 0 30 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Fog 26 26
NO
21
45 0 0 27 No hazard
04 Fog 26 26
NO
18
43 0 0 25 No hazard
05 Partly cloudy 26 26
NO
18
44 0 0 25 No hazard
06 Cloudless sky 25 25
NO
22
46 0 0 52 No hazard
07 Cloudless sky 23 23
NO
22
45 0 0 55 No hazard
08 Partly cloudy 22 22
NO
19
41 0 0 74 15% (8-14h) 0% (8-14h) 15% (8-14h) No hazard
09 Cloudless sky 24 24
NO
11
27 0 0 74 No hazard
10 Partly cloudy 26 26
N
10
29 0 0 64 No hazard
11 Partly cloudy 28 28
N
11
37 0 0 46 No hazard
12 Partly cloudy 29 29
N
14
38 0 0 42 No hazard
13 High clouds 29 29
N
14
44 0 0 41 No hazard
14 Partly cloudy 30 30
N
17
44 0 0 39 95% (14-20h) 0% (14-20h) 65% (14-20h) Important hazard
15 Very cloudy 29 30
N
12
40 0 0 53 Important hazard
16 Very cloudy with light rain 28 29
N
17
41 0.1 0 60 Important hazard
17 Very cloudy 28 30
NO
16
38 0 0 61 Important hazard
18 Overcast 26 26
N
13
34 0 0 62 Important hazard
19 Very cloudy 25 25
NO
11
25 0 0 67 Important hazard
20 Cloudy intervals with light rain 24 24
NO
5
12 0.1 0 75 75% (20-2h) 0% (20-2h) 65% (20-2h) Important hazard
21 Partly cloudy 23 23
NO
4
20 0 0 74 Important hazard
22 Partly cloudy 22 22
NO
9
20 0 0 73 Important hazard
23 High clouds 21 21
NO
6
14 0 0 75 Important hazard
Thu 10 00 Cloudy 20 20
O
6
13 0 0 80 Low hazard
01 High clouds 19 19
O
5
11 0 0 85 Low hazard
02 Cloudy intervals with light rain 19 19
O
5
14 0.1 0 87 55% (2-8h) 0% (2-8h) 55% (2-8h) Low hazard
03 Cloudy intervals with light rain 18 18
NO
7
14 0.1 0 88 Low hazard
04 Cloudy intervals with light rain 18 18
O
5
19 0.1 0 89 Low hazard
05 Cloudy with light rain 18 18
NO
9
20 0.1 0 90 Low hazard
06 Cloudy intervals with light rain 18 18
NO
7
22 0.1 0 93 Low hazard
07 Cloudy intervals with light rain 18 18
NO
10
23 0.1 0 83 Low 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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