Nautica Digitale PAN PAN - Medico a bordo, emergenze mediche e pronto soccorso in barca
  Sponsor: DALMAR 

LOCAL FORECASTS
 UPDATED: 2013/06/19 10:28:21 UTC

Sacile, Pordenone (PN), Friuli Venezia Giulia, local weather forecasts, medium range weather forecast (5-days)

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 SACILE (PN)
Province Pordenone  |  Region Friuli Venezia Giulia
Latitude 45.95N  |  Longitude 12.49E  |  Elevation 25 m
Area 33.3 kmq  |  Climatic zone E  |  Degrees/day 2461  |  Earthquake zone 2
Inhabitants 19100  |  Male 9425  |  Female 9675  |  Density 573.6
Code H657  |  Zip code 33077  |  Phone code 0434  |  Istat code 093037

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Wednesday
09 UTC101728551.1S-03
12 UTC101629492.6S-05
15 UTC101528541.9S-05
18 UTC101624763.1S-02
21 UTC101717870.0NNW-00
Thursday
00 UTC101716900.0NNW-01
03 UTC101618820.0N-03
06 UTC101623700.0N-02
09 UTC101527560.0S-04
12 UTC101428560.1S-06
15 UTC101428580.9S-06
18 UTC101424781.0SSE-03
21 UTC101517900.9S-01
Friday
00 UTC101518872.3NE-02
03 UTC101518841.7NNE-03
06 UTC101522742.1ESE-01
09 UTC101425660.4S-05
12 UTC101326590.9S-06
15 UTC101326570.0S-05
18 UTC101422770.0S-03
21 UTC101515930.0N-00
Saturday
00 UTC101615920.0N-02
03 UTC101516830.0N-04
06 UTC101521700.0N-02
18 UTC101422774.4SW-01
Sunday
06 UTC101520700.0N-04
18 UTC101222730.0SSW-01
Monday
06 UTC101321660.0NNE-03
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