Nautica Digitale PAN PAN - Medico a bordo, emergenze mediche e pronto soccorso in barca
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LOCAL FORECASTS
 UPDATED: 2013/05/21 04:28:11 UTC

Orbassano, Torino (TO), Piemonte, local weather forecasts, medium range weather forecast (5-days)

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 ORBASSANO (TO)
Province Torino  |  Region Piemonte
Latitude 45.00N  |  Longitude 7.54E  |  Elevation 273 m
Area 22.1 kmq  |  Climatic zone E  |  Degrees/day 2634  |  Earthquake zone 4
Inhabitants 21767  |  Male 10623  |  Female 11144  |  Density 984.9
Code G087  |  Zip code 10043  |  Phone code 011  |  Istat code 001171

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Tuesday
03 UTC10169810.0NW-01
06 UTC101510800.1NNW-00
09 UTC101413670.1SE-02
12 UTC101215570.2SE-03
15 UTC101116650.6ESE-04
18 UTC101114841.7SE-05
21 UTC101212890.3S-01
Wednesday
00 UTC101211850.6W-02
03 UTC101110800.0WNW-04
06 UTC101011750.0WNW-03
09 UTC100815620.0NNE-00
12 UTC100718520.1E-01
15 UTC100619530.2NNE-02
18 UTC100617581.1NNW-06
21 UTC100912660.4NW-10
Thursday
00 UTC100910640.4WNW-09
03 UTC10098650.0WNW-07
06 UTC100810550.0WNW-05
09 UTC100616340.0W-00
12 UTC100419300.0SE-01
15 UTC100220340.0SE-03
18 UTC100317610.0SSW-02
21 UTC100412750.1W-06
Friday
00 UTC10059740.1WNW-07
12 UTC100515300.0ESE-02
Saturday
00 UTC100911670.2NW-02
12 UTC100711742.5ENE-05
Sunday
00 UTC10108842.7W-05
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