Weather forecast by locations. Vilaflor de Chasna (Santa Cruz de Tenerife)

Capital: Vilaflor de Chasna (altitude: 1364 m)
Latitude28° 9' 20'' N - Longitude16° 38' 6'' W -  PositionSee location
Warning zone: Este, sur y oeste de Tenerife
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
Wed 16 12 Cloudy intervals with light rain 30 30
SE
14
38 0.1 0 30 70% (7-13h) 0% (7-13h) 60% (7-13h) Risk
13 Cloudy intervals with light rain 31 31
SE
15
41 0.1 0 29 55% (13-19h) 0% (13-19h) 50% (13-19h) Risk
14 Cloudy intervals with light rain 30 30
SE
16
39 0.1 0 29 Risk
15 Cloudy intervals with light rain 32 32
SE
15
36 0.1 0 26 Risk
16 Cloudy intervals with light rain 31 31
SE
13
29 0.1 0 27 Risk
17 Cloudy intervals with light rain 31 31
S
10
25 0.1 0 32 Risk
18 Cloudy intervals with light rain 31 31
S
8
21 0.1 0 37 Risk
19 Cloudy intervals with light rain 30 30
S
7
17 0.1 0 38 60% (19-1h) 0% (19-1h) 40% (19-1h) Risk
20 Cloudy intervals with light rain 29 29
S
6
10 0.1 0 38 Risk
21 Cloudy intervals with light rain 28 28
SE
3
10 0.1 0 39 No risk
22 Cloudy intervals with light rain 26 26
NE
5
18 0.1 0 34 No risk
23 Cloudy intervals with light rain 26 26
NE
9
25 0.1 0 35 No risk
Thu 17 00 Cloudy intervals with light rain 25 25
NE
12
22 0.1 0 36 No risk
01 Cloudless sky 25 25
NE
9
23 0 0 36 0% (1-7h) 0% (1-7h) 0% (1-7h) No risk
02 Cloudless sky 25 25
NE
11
29 0 0 34 No risk
03 Cloudless sky 25 25
NE
14
29 0 0 33 No risk
04 Cloudless sky 25 25
NE
13
25 0 0 31 No risk
05 Cloudless sky 25 25
NE
11
25 0 0 30 No risk
06 Cloudless sky 25 25
NE
12
25 0 0 31 No risk
07 Cloudy intervals 25 25
NE
10
14 0 0 32 10% (7-13h) 0% (7-13h) 10% (7-13h) No risk
08 Cloudy intervals 26 26
N
6
5 0 0 29 No risk
09 Cloudy intervals 28 28
O
2
15 0 0 27 Risk
10 Cloudy intervals 30 30
S
5
24 0 0 27 Risk
11 Cloudy intervals 30 30
S
9
26 0 0 27 Risk
12 Cloudy intervals 31 31
SO
8
30 0 0 26 Risk
13 Cloudy intervals with light rain 32 32
S
10
30 0.1 0 26 55% (13-19h) 0% (13-19h) 40% (13-19h) Risk
14 Cloudy intervals with light rain 32 32
S
10
31 0.1 0 25 Risk
15 Cloudy intervals with light rain 32 32
S
11
29 0.1 0 22 Risk
16 Cloudy intervals with light rain 32 32
S
10
29 0.1 0 22 Risk
17 Cloudy intervals with light rain 31 31
S
10
23 0.1 0 27 Risk
18 Cloudy intervals with light rain 31 31
SO
8
22 0.1 0 30 Risk
19 Cloudy intervals with light rain 30 30
O
7
16 0.1 0 29 85% (19-1h) 0% (19-1h) 40% (19-1h) Risk
20 Cloudy intervals with light rain 29 29
O
6
8 0.1 0 29 Risk
21 Cloudy intervals with light rain 28 28
SO
3
8 0.1 0 30 No risk
22 Cloudy intervals with light rain 27 27
NO
4
18 0.1 0 32 No risk
23 Cloudy intervals with light rain 26 26
N
8
31 0.1 0 34 No risk
Fri 18 00 Cloudy intervals with light rain 26 26
N
14
40 0.1 0 34 No risk
01 Cloudy intervals 26 26
N
19
41 0 0 35 35% (1-7h) 0% (1-7h) 35% (1-7h) No risk
02 Cloudy intervals 25 25
N
18
34 0 0 35 No risk
03 Cloudy intervals 25 25
N
15
27 0 0 35 No risk
04 Cloudy intervals 25 25
N
12
26 0 0 36 No risk
05 Cloudy intervals 25 25
N
11
25 0 0 36 No risk
06 Cloudy intervals 25 25
N
12
21 0 0 36 No risk
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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