Weather forecast by locations. Pradillo (La Rioja)

Capital: Pradillo (altitude: 883 m)
Latitude42° 10' 34'' N - Longitude2° 38' 27'' W -  PositionSee location
Warning zone: Ibérica riojana

Wed 19
13
Partly cloudy
N
9
26
 
14
Cloudy
N
10
27
 
15
Very cloudy
N
10
26
 
16
Partly cloudy
N
10
20
 
17
Cloudless sky
N
6
6
 
18
Overcast
S
3
9
 
19
Overcast with light rain
S
5
10
0.1
Total rainfall (mm)
 
20
Overcast with light rain
S
3
6
1
Total rainfall (mm)
 
21
Overcast with light rain
O
1
22
0.2
Total rainfall (mm)
 
22
Overcast with rain/rain showers
N
9
36
2
Total rainfall (mm)
0.2
Snow depth (mm)
 
23
Overcast with light rain
N
16
24
0.3
Total rainfall (mm)
Thu 20
00
Overcast with light rain
N
11
27
0.1
Total rainfall (mm)
 
01
Overcast
N
11
22
 
02
Overcast with light rain
N
9
19
0.1
Total rainfall (mm)
 
03
Overcast
NO
8
15
 
04
Overcast
NO
7
21
 
05
Overcast
NO
9
23
 
06
Overcast with light snow
NO
8
24
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
07
Overcast with light snow
NO
10
22
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
08
Overcast with light snow
N
9
21
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
09
Overcast with light snow
N
8
25
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
10
Overcast with light snow
NO
10
27
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
11
Overcast with light snow
NO
12
21
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
12
Overcast with snow
NO
8
23
0.6
Total rainfall (mm)
0.5
Snow depth (mm)
 
13
Overcast with light snow
NO
10
13
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
14
Overcast with light snow
NO
4
25
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
15
Overcast with light snow
NO
10
21
0.5
Total rainfall (mm)
0.4
Snow depth (mm)
 
16
Cloudy with snow showers
N
8
20
0.7
Total rainfall (mm)
0.6
Snow depth (mm)
 
17
Overcast with light snow
NO
8
35
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
 
18
Overtcast with snow
NO
15
31
1
Total rainfall (mm)
1
Snow depth (mm)
 
19
Very cloudy with snow
NO
12
31
0.6
Total rainfall (mm)
0.6
Snow depth (mm)
 
20
Overcast with light snow
NO
14
27
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
21
Overtcast with snow
NO
9
32
0.7
Total rainfall (mm)
0.7
Snow depth (mm)
 
22
Overcast with light snow
NO
14
23
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
23
Overcast with light snow
NO
8
29
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
Fri 21
00
Overcast
NO
10
29
 
01
Overcast with light snow
NO
11
36
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
02
Overtcast with snow
NO
16
25
0.9
Total rainfall (mm)
0.9
Snow depth (mm)
 
03
Overtcast with snow
N
11
33
1
Total rainfall (mm)
1
Snow depth (mm)
 
04
Very cloudy with light snow
N
10
20
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
05
Partly cloudy
N
8
6
 
06
Overcast
N
2
8
Date
Hour
Sky condition
Wind direction and speed
Speed (km/h) / Max. wind gust (km/h)
Temperature (°C)
Temperature (°C)
Feels like temperature (°C)
Feels like temperature (°C)
Relative humidity (%)
Relative humidity (%)
Total rainfall (mm)
Total rainfall (mm)
Snow depth (mm)
Snow depth (mm)
Maximum level of warning
Legend
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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