• Predicción especial. Semana Santa

Weather forecast by locations. Oropesa del Mar/Orpesa (Castelló/Castellón)

Capital: Oropesa del Mar/Orpesa (altitude: 35 m)
Latitude40° 5' 32'' N - Longitude0° 8' 2'' 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
Mon 30 23 Cloudless sky 16 16
N
18
70 0 0 48 0% (20-2h) 0% (20-2h) 0% (20-2h) Low hazard
Tue 31 00 Cloudless sky 16 16
NO
43
72 0 0 48 Low hazard
01 Cloudless sky 16 16
NO
44
73 0 0 50 Low hazard
02 Cloudless sky 16 16
NO
44
75 0 0 50 0% (2-8h) 0% (2-8h) 0% (2-8h) Low hazard
03 Cloudless sky 16 16
NO
46
77 0 0 50 Low hazard
04 Cloudless sky 15 15
NO
47
76 0 0 51 Low hazard
05 Cloudless sky 15 15
NO
45
76 0 0 51 Low hazard
06 Cloudless sky 15 15
NO
46
78 0 0 49 Low hazard
07 Cloudless sky 14 14
NO
47
79 0 0 49 Low hazard
08 Cloudless sky 14 14
NO
48
78 0 0 49 0% (8-14h) 0% (8-14h) 0% (8-14h) Low hazard
09 Cloudless sky 15 15
NO
44
77 0 0 45 Low hazard
10 Cloudless sky 16 16
NO
43
73 0 0 39 Low hazard
11 Cloudless sky 17 17
NO
40
68 0 0 35 Low hazard
12 Cloudless sky 19 19
NO
36
62 0 0 33 No hazard
13 Cloudless sky 20 20
N
30
54 0 0 31 No hazard
14 Cloudless sky 21 21
N
31
53 0 0 28 0% (14-20h) 0% (14-20h) 0% (14-20h) No hazard
15 Cloudless sky 21 21
NO
12
30 0 0 29 No hazard
16 Cloudless sky 21 21
N
7
27 0 0 29 No hazard
17 Cloudless sky 20 20
S
12
20 0 0 54 No hazard
18 Cloudless sky 19 19
S
11
21 0 0 60 No hazard
19 Cloudless sky 18 18
S
12
59 0 0 65 No hazard
20 Cloudless sky 17 17
N
35
66 0 0 38 0% (20-2h) 0% (20-2h) 0% (20-2h) No hazard
21 Cloudless sky 16 16
NO
40
65 0 0 39 No hazard
22 Cloudless sky 15 15
NO
39
63 0 0 42 No hazard
23 Cloudless sky 14 14
NO
38
62 0 0 45 No hazard
Wed 01 00 Cloudless sky 14 14
NO
37
63 0 0 45 No hazard
01 Cloudless sky 13 13
NO
38
63 0 0 46 No hazard
02 Cloudless sky 13 13
NO
36
64 0 0 47 0% (2-8h) 0% (2-8h) 0% (2-8h) No hazard
03 Cloudless sky 13 13
NO
39
65 0 0 47 No hazard
04 Cloudless sky 13 13
NO
37
62 0 0 48 No hazard
05 Cloudless sky 13 13
NO
37
60 0 0 49 No hazard
06 Cloudless sky 13 13
NO
35
57 0 0 50 No hazard
07 Cloudless sky 13 13
NO
32
54 0 0 49 No hazard
08 Cloudless sky 13 13
NO
33
53 0 0 50 0% (8-14h) 0% (8-14h) 0% (8-14h) No hazard
09 Cloudless sky 14 14
NO
29
49 0 0 47 No hazard
10 Cloudless sky 16 16
N
25
43 0 0 43 No hazard
11 Cloudless sky 17 17
N
21
43 0 0 41 No hazard
12 Cloudless sky 19 19
N
24
43 0 0 37 No hazard
13 Cloudless sky 20 20
N
20
39 0 0 33 No hazard
14 Cloudless sky 21 21
N
20
43 0 0 30 0% (14-20h) 0% (14-20h) 0% (14-20h) No hazard
15 Cloudless sky 22 22
N
23
50 0 0 29 No hazard
16 Cloudless sky 22 22
N
27
62 0 0 28 No hazard
17 Cloudless sky 22 22
NO
35
66 0 0 29 No hazard
18 Cloudless sky 21 21
NO
38
70 0 0 30 No hazard
19 Cloudless sky 20 20
NO
40
70 0 0 32 No hazard
Access to observed data from nearby weather stations (Distances referred to the location capital)
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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