Weather forecast by locations. Matallana de Torío (León)

Capital: Robles de la Valcueva (altitude: 1022 m)
Latitude42° 51' 58'' N - Longitude5° 31' 12'' W -  PositionSee location
Warning zone: Cordillera Cantábrica de León

Fri 06
16
Overcast
SO
10
26
 
17
Overcast
SO
14
24
 
18
Overcast
SO
12
13
 
19
Overcast
SO
4
7
 
20
Overcast
O
4
8
Ip
Total rainfall (mm)
 
21
Overcast
O
4
15
 
22
Overcast
SO
8
17
 
23
Overcast
SO
9
22
Sat 07
00
Fog
SO
11
25
 
01
Overcast
S
13
20
 
02
Fog
S
10
19
 
03
Overcast with thunderstorms and light rain showers
S
10
22
0.1
Total rainfall (mm)
 
04
Overcast with light snow
S
12
24
0.1
Total rainfall (mm)
Ip
Snow depth (mm)
 
05
Overcast with light snow
S
13
20
0.2
Total rainfall (mm)
Ip
Snow depth (mm)
 
06
Overcast with light snow
SO
11
19
0.2
Total rainfall (mm)
Ip
Snow depth (mm)
 
07
Overcast with light snow
SO
9
20
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
08
Overcast with light snow
S
10
21
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
09
Overcast with light snow
S
11
21
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
10
Overcast with light snow
S
9
21
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
11
Overcast with light snow
S
10
23
0.4
Total rainfall (mm)
0.3
Snow depth (mm)
 
12
Overcast with light snow
S
12
28
0.4
Total rainfall (mm)
0.2
Snow depth (mm)
 
13
Overcast with light snow
S
15
18
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
14
Overcast with snow
SE
10
23
1
Total rainfall (mm)
1
Snow depth (mm)
 
15
Overcast with snow
SE
12
25
1
Total rainfall (mm)
1
Snow depth (mm)
 
16
Overcast with snow
SE
12
28
2
Total rainfall (mm)
2
Snow depth (mm)
 
17
Overcast with snow
SE
14
24
1
Total rainfall (mm)
1
Snow depth (mm)
 
18
Overcast with snow
SE
13
22
0.7
Total rainfall (mm)
0.7
Snow depth (mm)
 
19
Overcast with light snow
E
11
21
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
20
Overtcast with snow
E
11
28
0.8
Total rainfall (mm)
0.8
Snow depth (mm)
 
21
Overtcast with snow
E
15
26
1
Total rainfall (mm)
1
Snow depth (mm)
 
22
Overcast with light rain
E
13
18
0.5
Total rainfall (mm)
0.2
Snow depth (mm)
 
23
Overcast with light rain
E
9
10
0.3
Total rainfall (mm)
Sun 08
00
Overcast with light rain
NO
6
24
1
Total rainfall (mm)
0.3
Snow depth (mm)
 
01
Overcast with light rain
NO
12
29
0.1
Total rainfall (mm)
 
02
Overcast with light snow
NO
15
41
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
03
Very cloudy with light snow
NO
21
51
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
04
Very cloudy with light snow
NO
27
49
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
05
Very cloudy with light snow
NO
24
35
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
06
Very cloudy with light snow
NO
17
48
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
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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