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LOCAL FORECASTS
 UPDATED: 2013/05/18 22:28:12 UTC

San Vito al Tagliamento, Pordenone (PN), Friuli Venezia Giulia, local weather forecasts, medium range weather forecast (5-days)

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 SAN VITO AL TAGLIAMENTO (PN)
Province Pordenone  |  Region Friuli Venezia Giulia
Latitude 45.91N  |  Longitude 12.86E  |  Elevation 30 m
Area 60.7 kmq  |  Climatic zone E  |  Degrees/day 2581  |  Earthquake zone 2
Inhabitants 13522  |  Male 6496  |  Female 7026  |  Density 222.8
Code I403  |  Zip code 33078  |  Phone code 0434  |  Istat code 093041

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Sunday
21 UTC101513830.0NE-04
Monday
00 UTC101313780.1NNE-06
03 UTC101112720.1NNE-06
06 UTC100915680.3NNE-05
09 UTC100820570.7ESE-02
12 UTC100917843.8SW-05
15 UTC101018681.6SSW-05
18 UTC101115802.1SSW-03
21 UTC101311870.5SW-01
Tuesday
00 UTC101410890.6W-01
03 UTC10148920.0WSW-01
06 UTC101514790.0S-01
09 UTC101616670.3S-04
12 UTC101518651.1S-06
15 UTC101517712.2S-04
18 UTC101514844.0SSE-02
21 UTC101712880.5E-01
Wednesday
00 UTC101711890.6NNE-01
03 UTC10179920.0NNE-00
06 UTC101714800.0SSW-01
09 UTC101517660.1S-04
12 UTC101418590.2S-06
15 UTC101318630.2S-06
18 UTC101315820.4SSE-03
Thursday
06 UTC101316760.0ENE-02
18 UTC100717800.4SSE-03
Friday
06 UTC100613854.8NE-07
18 UTC100611876.7NNE-07
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