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Weather forecast by locations. Tírig (Castelló/Castellón)

Capital: Tírig (altitude: 463 m)
Latitude40° 25' 26'' N - Longitude0° 4' 40'' E -  PositionSee location
Warning zone: Litoral sur de Castellón
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
Fri 13 23 Cloudy 10 10
SO
10
21 0 0 57 50% (19-1h) 0% (19-1h) 50% (19-1h) Low hazard
Sat 14 00 High clouds 10 10
SO
6
16 0 0 57 Extraordinary hazard
01 High clouds 9 9
NO
6
27 0 0 55 10% (1-7h) 0% (1-7h) 10% (1-7h) Extraordinary hazard
02 High clouds 9 7
NO
12
19 0 0 52 Extraordinary hazard
03 High clouds 8 8
S
7
21 0 0 55 Extraordinary hazard
04 High clouds 8 7
NO
8
101 0 0 55 Extraordinary hazard
05 High clouds 8 3
NO
54
124 0 0 56 Extraordinary hazard
06 High clouds 8 2
NO
70
124 0 0 60 Extraordinary hazard
07 High clouds 8 2
NO
69
113 0 0 57 0% (7-13h) 0% (7-13h) 0% (7-13h) Extraordinary hazard
08 Partly cloudy 8 2
NO
64
118 0 0 55 Extraordinary hazard
09 Partly cloudy 9 4
NO
61
130 0 0 53 Extraordinary hazard
10 Cloudless sky 9 3
NO
73
125 0 0 53 Extraordinary hazard
11 Cloudless sky 10 10
NO
70
122 0 0 53 Extraordinary hazard
12 Cloudless sky 10 10
NO
67
134 0 0 52 Extraordinary hazard
13 Cloudless sky 11 11
NO
75
128 0 0 49 0% (13-19h) 0% (13-19h) 0% (13-19h) Extraordinary hazard
14 Partly cloudy 11 11
NO
67
108 0 0 50 Extraordinary hazard
15 Cloudless sky 11 11
NO
61
114 0 0 48 Extraordinary hazard
16 Cloudless sky 11 11
NO
65
108 0 0 48 Extraordinary hazard
17 Cloudless sky 11 11
NO
61
97 0 0 51 Extraordinary hazard
18 Cloudless sky 10 10
NO
55
100 0 0 50 Extraordinary hazard
19 Cloudless sky 9 4
NO
57
99 0 0 52 0% (19-1h) 0% (19-1h) 0% (19-1h) Extraordinary hazard
20 Cloudless sky 8 3
NO
53
87 0 0 54 Extraordinary hazard
21 Cloudless sky 8 3
NO
50
114 0 0 55 Extraordinary hazard
22 Partly cloudy 7 1
NO
65
101 0 0 54 Extraordinary hazard
23 Cloudless sky 7 1
NO
60
99 0 0 56 Extraordinary hazard
Sun 15 00 Partly cloudy 6 0
NO
54
93 0 0 61 Important hazard
01 High clouds 6 0
NO
50
97 0 0 61 0% (1-7h) 0% (1-7h) 0% (1-7h) Important hazard
02 High clouds 6 0
NO
54
98 0 0 59 Important hazard
03 Partly cloudy 6 0
NO
54
105 0 0 57 Important hazard
04 Partly cloudy 6 0
NO
58
107 0 0 55 Important hazard
05 High clouds 6 0
NO
60
109 0 0 50 Important hazard
06 Partly cloudy 6 -1
NO
62
103 0 0 48 Low hazard
07 Partly cloudy 7 1
NO
59
100 0 0 45 0% (7-13h) 0% (7-13h) 0% (7-13h) Low hazard
08 Partly cloudy 8 2
NO
57
91 0 0 41 Low hazard
09 High clouds 9 4
NO
52
95 0 0 42 Low hazard
10 Partly cloudy 10 10
NO
55
77 0 0 45 Low hazard
11 High clouds 11 11
NO
40
61 0 0 50 Low hazard
12 High clouds 13 13
NO
34
60 0 0 49 No hazard
13 High clouds 14 14
NO
33
64 0 0 45 0% (13-19h) 0% (13-19h) 0% (13-19h) No hazard
14 Very cloudy 14 14
NO
35
50 0 0 41 No hazard
15 High clouds 15 15
NO
25
40 0 0 39 No hazard
16 High clouds 16 16
NO
21
20 0 0 39 No hazard
17 Cloudless sky 15 15
SO
5
13 0 0 47 No hazard
18 Partly cloudy 13 13
S
7
7 0 0 51 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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