• Predicción especial. Semana Santa

Weather forecast by locations. Vall de Boí, La (Lleida)

Capital: Barruera (altitude: 1096 m)
Latitude42° 30' 15'' N - Longitude0° 48' 8'' E -  PositionSee location
Warning zone: Pirineo de Lleida

Tue 31
05
Partly cloudy
N
43
102
 
06
Cloudless sky
NE
41
101
 
07
Cloudless sky
NE
43
107
 
08
Cloudy intervals
N
47
116
 
09
Cloudy intervals
N
52
119
 
10
Cloudy intervals
N
52
116
 
11
Cloudy intervals
N
48
111
 
12
Cloudy intervals
N
48
111
 
13
Cloudy intervals
N
46
108
 
14
Cloudless sky
N
41
100
 
15
Partly cloudy
NE
39
96
 
16
Partly cloudy
NE
38
93
 
17
Cloudy intervals with light snow showers
NE
34
95
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
18
Cloudy intervals with light snow showers
N
39
125
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
19
Cloudy intervals with light snow showers
N
58
127
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
20
Partly cloudy
N
54
121
 
21
Cloudy intervals with light snow showers
N
47
110
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
22
Cloudy intervals with light snow showers
NE
35
95
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
23
Cloudy intervals with light snow showers
NE
33
86
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
Wed 01
00
Cloudy with light snow showers
NE
32
82
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
01
Cloudy intervals with light snow showers
NE
31
83
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
02
Cloudy intervals with light snow showers
NE
23
63
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
03
Cloudy with light snow showers
NE
15
52
0.1
Total rainfall (mm)
0.1
Snow depth (mm)
 
04
Very cloudy with light snow
N
12
39
0.2
Total rainfall (mm)
0.2
Snow depth (mm)
 
05
Very cloudy with light snow
N
10
32
0.3
Total rainfall (mm)
0.3
Snow depth (mm)
 
06
Very cloudy with light snow
N
9
43
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
 
07
Overtcast with snow
N
12
40
0.5
Total rainfall (mm)
0.5
Snow depth (mm)
 
08
Very cloudy with snow
N
13
43
0.6
Total rainfall (mm)
0.6
Snow depth (mm)
 
09
Very cloudy with snow
N
11
47
0.8
Total rainfall (mm)
0.8
Snow depth (mm)
 
10
Very cloudy with snow
N
14
54
0.6
Total rainfall (mm)
0.5
Snow depth (mm)
 
11
Cloudy with light snow showers
N
18
63
0.4
Total rainfall (mm)
0.3
Snow depth (mm)
 
12
Cloudy with light snow showers
N
22
66
0.2
Total rainfall (mm)
0.1
Snow depth (mm)
 
13
Very cloudy with light snow
N
21
66
0.3
Total rainfall (mm)
0.2
Snow depth (mm)
 
14
Very cloudy with light snow
N
23
72
0.5
Total rainfall (mm)
Ip
Snow depth (mm)
 
15
Very cloudy with light snow
N
27
74
0.4
Total rainfall (mm)
Ip
Snow depth (mm)
 
16
Very cloudy with snow
N
27
73
0.6
Total rainfall (mm)
Ip
Snow depth (mm)
 
17
Very cloudy with snow
N
26
72
0.7
Total rainfall (mm)
Ip
Snow depth (mm)
 
18
Very cloudy with snow
N
25
66
0.8
Total rainfall (mm)
Ip
Snow depth (mm)
 
19
Very cloudy with snow
NE
22
61
1
Total rainfall (mm)
Ip
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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