Nautica Digitale PAN PAN - Medico a bordo, emergenze mediche e pronto soccorso in barca
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LOCAL FORECASTS
 UPDATED: 2013/05/21 16:28:12 UTC

Paisco Loveno, Brescia (BS), Lombardia, local weather forecasts, medium range weather forecast (5-days)

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 PAISCO LOVENO (BS)
Province Brescia  |  Region Lombardia
Latitude 46.07N  |  Longitude 10.29E  |  Elevation 853 m
Area 36.0 kmq  |  Climatic zone F  |  Degrees/day 3429  |  Earthquake zone 4
Inhabitants 241  |  Male 119  |  Female 122  |  Density 6.7
Code G247  |  Zip code 25050  |  Phone code 0364  |  Istat code 017131

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Tuesday
15 UTC101112701.0SSW-06
18 UTC101210832.0SW-03
21 UTC10139850.4WNW-01
Wednesday
00 UTC10129810.4NNW-02
03 UTC10118770.0NNE-04
06 UTC101010750.0NNE-03
09 UTC100813600.0S-03
12 UTC100714660.5SSW-04
15 UTC100614812.5SW-02
18 UTC100711895.8N-05
21 UTC10089901.4N-08
Thursday
00 UTC10088882.0N-08
03 UTC10077870.2N-08
06 UTC10069770.2N-07
09 UTC100513520.0NNE-01
12 UTC100215490.1SW-03
15 UTC100014650.8SSW-05
18 UTC100112851.9SSW-04
21 UTC100410821.1SSE-02
Friday
00 UTC10048934.9N-01
03 UTC10066925.3N-07
06 UTC10073827.3N-11
09 UTC10077650.4NNE-07
12 UTC100710600.5ESE-01
Saturday
00 UTC10106920.8SSE-01
12 UTC100778213.2NNW-01
Sunday
00 UTC10093862.1N-07
12 UTC101011580.1WNW-02
Columns key legend: weather icon, sea level pressure (hPa), temperature in degrees Celsius (C), relative humidity (%), precipitation cumulated in the three previous hours (mm), wind direction and speed (knots),. The 120-hours forecasts are processed every six hours by an automatic routine with no intervention or check from our meteorologists and without considering the local orography (e.g. presence of mountains, valleys, plains, seas, etc). Please always evaluate the forecasts considering the local meteorological experiences and consulting our weather reports issued every weekday at 00:00 UTC. Always consider the trend of the meteorological variables rather than their absolute values, above all during extreme weather (e.g. in very hot or very cold days the forecasted temperatures may differ by several degrees from the real temperatures observed at the meteorological stations). Forecasts for locations placed by the outer limits of our processing grid (e.g. very high latitudes) can be unreliable