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Weather forecast by locations. Chelva (València/Valencia)

Capital: Chelva (altitude: 471 m)
Latitude39° 44' 50'' N - Longitude0° 59' 50'' W -  PositionSee location
Warning zone: Interior norte de Valencia
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 07 12 Cloudless sky 35 35
O
6
18 0 0 17 0% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
13 Cloudless sky 37 37
O
4
20 0 0 15 Important hazard
14 Cloudy intervals with light rain 40 40
S
5
25 0.1 0 13 90% (14-20h) 0% (14-20h) 70% (14-20h) Important hazard
15 Cloudy intervals with light rain 40 40
SE
8
26 0.1 0 12 Important hazard
16 Overcast with thunderstorms and light rain showers 40 40
SE
9
48 0.1 0 11 Important hazard
17 Very cloudy with thunderstorms and light rain showers 41 41
N
25
50 0.1 0 13 Important hazard
18 Overcast with thunderstorms and light rain showers 36 36
NO
12
48 0.1 0 17 Important hazard
19 Cloudy intervals with light rain 32 32
NE
17
29 0.1 0 22 Important hazard
20 High clouds 34 34
NO
7
13 0 0 20 5% (20-2h) 0% (20-2h) 5% (20-2h) Important hazard
21 High clouds 32 32
NE
3
7 0 0 21 No hazard
22 High clouds 30 30
N
3
17 0 0 25 No hazard
23 High clouds 27 27
NE
11
18 0 0 28 No hazard
Wed 08 00 Cloudless sky 26 26
NO
11
25 0 0 28 No hazard
01 Cloudless sky 25 25
N
11
19 0 0 30 No hazard
02 Very cloudy 24 24
NO
6
13 0 0 33 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Cloudy 23 23
NO
8
12 0 0 34 No hazard
04 High clouds 23 23
N
8
15 0 0 34 No hazard
05 Partly cloudy 22 22
N
8
11 0 0 30 No hazard
06 Partly cloudy 23 23
SE
4
8 0 0 30 No hazard
07 Cloudless sky 24 24
NO
5
8 0 0 30 No hazard
08 Cloudless sky 25 25
NO
5
7 0 0 29 0% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
09 Cloudless sky 28 28
NO
4
9 0 0 23 No hazard
10 Cloudless sky 31 31
O
4
11 0 0 19 No hazard
11 Cloudless sky 35 35
S
3
17 0 0 14 No hazard
12 Cloudless sky 36 36
SE
6
22 0 0 13 No hazard
13 Cloudless sky 38 38
SE
8
31 0 0 12 Important hazard
14 Partly cloudy 40 40
SE
12
32 0 0 11 25% (14-20h) 0% (14-20h) 25% (14-20h) Important hazard
15 Very cloudy 41 41
SE
13
33 0 0 11 Important hazard
16 High clouds 40 40
S
14
42 0 0 10 Important hazard
17 Partly cloudy 39 39
SE
18
45 0 0 18 Important hazard
18 High clouds 37 37
SE
24
46 0 0 17 Important hazard
19 Partly cloudy 35 35
E
21
37 0 0 20 Important hazard
20 Cloudless sky 34 34
SE
14
27 0 0 18 0% (20-2h) 0% (20-2h) 0% (20-2h) Important hazard
21 Partly cloudy 32 32
SE
14
23 0 0 24 No hazard
22 Partly cloudy 30 30
SE
3
9 0 0 30 No hazard
23 Cloudless sky 28 28
N
6
13 0 0 35 No hazard
Thu 09 00 High clouds 27 27
N
8
15 0 0 37 No hazard
01 Partly cloudy 25 25
N
7
16 0 0 31 No hazard
02 High clouds 24 24
N
9
14 0 0 27 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 High clouds 24 24
NE
4
7 0 0 26 No hazard
04 High clouds 23 23
N
3
9 0 0 25 No hazard
05 Partly cloudy 23 23
NO
6
8 0 0 28 No hazard
06 Cloudless sky 22 22
C
0
7 0 0 31 No hazard
07 Cloudless sky 23 23
N
5
8 0 0 32 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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