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

LOCAL FORECASTS
 UPDATED: 2013/05/25 22:28:27 UTC

Ravascletto, Udine (UD), Friuli Venezia Giulia, local weather forecasts, medium range weather forecast (5-days)

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 RAVASCLETTO (UD)
Province Udine  |  Region Friuli Venezia Giulia
Latitude 46.52N  |  Longitude 12.92E  |  Elevation 950 m
Area 26.3 kmq  |  Climatic zone F  |  Degrees/day 3812  |  Earthquake zone 2
Inhabitants 613  |  Male 309  |  Female 304  |  Density 23.3
Code H196  |  Zip code 33020  |  Phone code 0433  |  Istat code 030088

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Saturday
21 UTC10104910.7NNE-06
Sunday
00 UTC10113860.8NNE-07
03 UTC10114800.1N-07
06 UTC10115690.1NNW-06
09 UTC10117600.0NW-02
12 UTC10108600.3SW-05
15 UTC10098760.9SW-06
18 UTC10107872.3SW-04
21 UTC10126881.5SW-02
Monday
00 UTC10126872.1WSW-03
03 UTC10136860.2WNW-02
06 UTC10127830.2WSW-01
09 UTC10119790.1SSW-03
12 UTC10109830.7SSW-06
15 UTC10109911.3SSW-04
18 UTC10109942.6S-04
21 UTC10129930.7S-04
Tuesday
00 UTC10118931.5S-04
03 UTC10118930.4S-05
06 UTC10109920.8S-06
09 UTC100910870.6S-06
12 UTC100711781.0S-07
15 UTC100612760.4S-07
18 UTC100610850.7S-06
Wednesday
06 UTC10059900.1SSE-04
18 UTC100310863.8SSE-02
Thursday
06 UTC10038770.0SSW-01
18 UTC10059892.1W-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