Weather forecast by locations. Salinas de Pisuerga (Palencia)

Capital: Salinas de Pisuerga (altitude: 946 m)
Latitude42° 50' 56'' N - Longitude4° 22' 41'' W -  PositionSee location
Warning zone: Cordillera Cantábrica de Palencia

Wed 19
23
Partly cloudy
NO
7
8
Thu 20
00
Very cloudy with light rain
NO
6
10
0.1
Total rainfall (mm)
 
01
Cloudy
NO
7
9
Ip
Total rainfall (mm)
 
02
Cloudy intervals
NO
6
12
Ip
Total rainfall (mm)
 
03
Very cloudy
O
9
14
 
04
Partly cloudy
NO
8
20
 
05
Cloudy
NO
13
15
 
06
Cloudy
NO
8
22
 
07
Cloudless sky
NO
15
24
 
08
Cloudy intervals with light snow showers
NO
14
21
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
09
Partly cloudy
NO
11
22
 
10
Overcast
NO
14
29
 
11
Partly cloudy
NO
18
23
 
12
Overcast
NO
14
40
 
13
Partly cloudy
NO
25
37
 
14
Partly cloudy
NO
21
26
 
15
Overcast
NO
13
18
 
16
Overcast with light rain
O
8
19
0.1
Total rainfall (mm)
 
17
Overcast with light rain
NO
10
19
0.1
Total rainfall (mm)
 
18
Overcast with light rain
O
12
15
0.4
Total rainfall (mm)
0.1
Snow depth (mm)
 
19
Cloudy intervals with light rain
SO
7
22
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
20
Cloudy with light rain
NO
14
43
0.3
Total rainfall (mm)
0.1
Snow depth (mm)
 
21
Overcast with light snow
NO
25
17
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
22
Cloudy with light snow showers
NO
11
44
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
23
Cloudy with light snow showers
N
26
38
0.4
Total rainfall (mm)
0.2
Snow depth (mm)
Fri 21
00
Very cloudy with light snow
NO
24
16
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
01
Cloudy with light snow showers
NO
5
47
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
02
Very cloudy with light snow
N
29
59
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
03
Cloudy with light snow showers
N
33
36
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
04
Cloudy intervals with light snow showers
N
12
7
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
05
Partly cloudy
O
5
25
 
06
Overcast with light snow
N
15
11
0.4
Total rainfall (mm)
0.4
Snow depth (mm)
 
07
Overtcast with snow
SE
7
12
1
Total rainfall (mm)
1
Snow depth (mm)
 
08
Overtcast with snow
S
7
18
0.8
Total rainfall (mm)
0.8
Snow depth (mm)
 
09
Cloudy intervals with light snow showers
O
11
16
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
10
Overcast with light snow
O
11
38
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
11
Overcast with snow
NO
24
12
1
Total rainfall (mm)
0.7
Snow depth (mm)
 
12
Overcast with snow
S
3
10
0.7
Total rainfall (mm)
0.5
Snow depth (mm)
 
13
Very cloudy with light rain
O
6
38
0.5
Total rainfall (mm)
0.2
Snow depth (mm)
 
14
Cloudy intervals with light rain
NO
25
32
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
15
Overcast with light rain
NO
19
35
0.1
Total rainfall (mm)
 
16
Overcast with snow
N
15
8
2
Total rainfall (mm)
1
Snow depth (mm)
 
17
Overcast with light snow
N
2
6
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
18
Partly cloudy
O
5
13
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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