• Nota informativa. Temporal atlántico

Weather forecast by locations. Sanchotello (Salamanca)

Capital: Sanchotello (altitude: 931 m)
Latitude40° 26' 10'' N - Longitude5° 45' 9'' W -  PositionSee location
Warning zone: Sistema Central de Salamanca

Thu 22
09
Overcast
O
8
13
Ip
Total rainfall (mm)
 
10
Overcast
SO
8
14
 
11
Overcast
SO
8
14
 
12
Overcast
SO
7
22
 
13
Overcast
O
13
32
 
14
Overcast with light rain
SO
20
36
0.1
Total rainfall (mm)
 
15
Overcast with light rain
SO
22
40
0.5
Total rainfall (mm)
 
16
Overcast with light rain
SO
26
46
0.9
Total rainfall (mm)
0.1
Snow depth (mm)
 
17
Overcast with light rain
SO
27
48
1
Total rainfall (mm)
0.2
Snow depth (mm)
 
18
Very cloudy with light rain
SO
31
67
0.6
Total rainfall (mm)
 
19
Overcast with thunderstorms and light rain showers
SO
43
68
0.6
Total rainfall (mm)
 
20
Overcast with thunderstorms and light rain showers
SO
44
77
1
Total rainfall (mm)
 
21
Overcast with thunderstorms and light rain showers
SO
47
67
0.7
Total rainfall (mm)
 
22
Overcast with thunderstorms and light rain showers
SO
41
66
0.5
Total rainfall (mm)
 
23
Overcast with thunderstorms and light rain showers
SO
39
58
0.1
Total rainfall (mm)
Fri 23
00
Overcast with thunderstorms and light rain showers
SO
36
55
1
Total rainfall (mm)
 
01
Cloudy intervals with light rain
SO
36
47
1
Total rainfall (mm)
 
02
Cloudy
O
28
43
0.1
Snow depth (mm)
 
03
Overcast
O
28
41
 
04
Partly cloudy
O
27
40
 
05
Overcast
SO
26
48
 
06
Partly cloudy
SO
32
48
 
07
Partly cloudy
SO
32
52
 
08
Partly cloudy
SO
33
52
 
09
Overcast
SO
34
58
 
10
Overcast
SO
36
60
 
11
Overcast
SO
38
54
 
12
Overcast with thunderstorms and light rain showers
SO
34
61
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
13
Overcast with thunderstorms and light rain showers
SO
37
54
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
14
Overcast with light snow
SO
34
48
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
15
Overcast with light snow
SO
28
45
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
16
Overcast with light snow
SO
28
41
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
17
Overcast with light snow
SO
26
36
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
18
Overcast with snow
SO
23
36
1
Total rainfall (mm)
1
Snow depth (mm)
 
19
Overtcast with snow
SO
19
31
1
Total rainfall (mm)
1
Snow depth (mm)
 
20
Overcast with light snow
SO
20
44
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
21
Overcast with light snow
SO
27
38
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
22
Overcast with light snow
SO
25
32
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
23
Overcast with light snow
SO
20
33
0.5
Total rainfall (mm)
0.4
Snow depth (mm)
Sat 24
00
Overcast with thunderstorms and light rain showers
SO
22
30
0.1
Total rainfall (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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