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Weather forecast by locations. Órgiva (Granada)

Capital: Órgiva (altitude: 455 m)
Latitude36° 54' 4'' N - Longitude3° 25' 26'' W -  PositionSee location
Warning zone: Nevada y Alpujarras
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 30 11 Partly cloudy 15 15
NO
37
65 0 0 38 0% (7-13h) 0% (7-13h) 0% (7-13h) No hazard
12 Cloudless sky 16 16
NO
36
73 0 0 32 No hazard
13 Cloudy intervals with light rain 16 16
NO
41
71 0.1 0 38 90% (13-19h) 0% (13-19h) 65% (13-19h) No hazard
14 Cloudy intervals with light rain 16 16
NO
37
74 0.1 0 35 No hazard
15 Cloudy intervals with light rain 17 17
NO
39
59 0.1 0 43 No hazard
16 Cloudy intervals with light rain 17 17
NO
29
67 0.1 0 50 No hazard
17 Cloudy intervals with light rain 16 16
NO
38
72 0.1 0 55 No hazard
18 Cloudy with light rain 15 15
NO
42
61 0.1 0 56 Important hazard
19 Partly cloudy 15 15
O
33
51 0 0 60 100% (19-1h) 0% (19-1h) 60% (19-1h) Important hazard
20 Partly cloudy 15 15
O
29
47 0 0 65 Important hazard
21 Overcast 15 15
O
26
55 0 0 63 Important hazard
22 Overcast with light rain 14 14
O
32
69 0.4 0 64 Important hazard
23 Cloudy 14 14
O
40
64 0 0 72 Important hazard
Sat 31 00 Partly cloudy 13 13
O
37
71 0 0 63 Important hazard
01 Very cloudy with light rain 12 12
O
41
76 1 0 65 90% (1-7h) 0% (1-7h) 5% (1-7h) Important hazard
02 Cloudy with light rain 11 11
O
38
65 0.1 0 72 Important hazard
03 Cloudy 11 11
O
38
68 0 0 72 Important hazard
04 Partly cloudy 10 10
O
36
60 0 0 76 Important hazard
05 Cloudless sky 9 5
NO
34
62 0 0 60 Important hazard
06 Cloudless sky 8 4
NO
35
64 0 0 55 Important hazard
07 Cloudy intervals 8 4
NO
36
64 0 0 53 10% (7-13h) 0% (7-13h) 0% (7-13h) Important hazard
08 Cloudy intervals 7 2
NO
36
68 0 0 44 Important hazard
09 Cloudy intervals 8 3
NO
39
71 0 0 43 Important hazard
10 Cloudy intervals 9 5
NO
40
74 0 0 49 Important hazard
11 Cloudy intervals 11 11
NO
41
71 0 0 45 Important hazard
12 Cloudy intervals 13 13
NO
39
72 0 0 39 Low hazard
13 Cloudless sky 15 15
NO
40
64 0 0 31 0% (13-19h) 0% (13-19h) 0% (13-19h) Low hazard
14 Cloudless sky 15 15
NO
35
70 0 0 19 Low hazard
15 Cloudless sky 15 15
NO
39
65 0 0 15 Low hazard
16 Cloudless sky 16 16
N
34
48 0 0 14 No hazard
17 Cloudless sky 14 14
N
23
31 0 0 15 No hazard
18 Partly cloudy 13 13
N
11
22 0 0 17 No hazard
19 Cloudless sky 12 12
E
9
32 0 0 40 0% (19-1h) 0% (19-1h) 0% (19-1h) No hazard
20 Cloudless sky 11 11
E
12
28 0 0 50 No hazard
21 Cloudless sky 10 10
E
16
27 0 0 50 No hazard
22 Partly cloudy 10 10
NE
13
23 0 0 51 No hazard
23 Partly cloudy 10 10
E
11
23 0 0 45 No hazard
Sun 01 00 Cloudless sky 9 7
E
14
26 0 0 46 No hazard
01 Partly cloudy 10 10
E
15
25 0 0 45 5% (1-7h) 0% (1-7h) 0% (1-7h) No hazard
02 High clouds 9 7
E
10
12 0 0 42 No hazard
03 High clouds 9 9
E
6
6 0 0 41 No hazard
04 Partly cloudy 9 9
NE
4
10 0 0 40 No hazard
05 High clouds 10 10
E
6
12 0 0 42 No hazard
06 Very cloudy 9 8
E
8
17 0 0 42 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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