Nautica Digitale La Consegna della Barca - Consigli per Venditore e Compratore
  Sponsor: GLOBALCAR SERVICE - DIVISIONE NAUTICA 

LOCAL FORECASTS
 UPDATED: 2013/06/19 16:28:31 UTC

Porto San Giorgio, Ascoli Piceno (AP), Marche, local weather forecasts, medium range weather forecast (5-days)

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 PORTO SAN GIORGIO (AP)
Province Ascoli Piceno  |  Region Marche
Latitude 43.18N  |  Longitude 13.79E  |  Elevation 4 m
Area 8.6 kmq  |  Climatic zone D  |  Degrees/day 1644  |  Earthquake zone 2
Inhabitants 16174  |  Male 7612  |  Female 8562  |  Density 1880.7
Code G920  |  Zip code 63017  |  Phone code 0734  |  Istat code 044060

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Wednesday
15 UTC101526651.0ESE-02
18 UTC101525721.2SSE-02
21 UTC101523730.0SSW-04
Thursday
00 UTC101523740.0WSW-04
03 UTC101423750.0W-02
06 UTC101524730.0W-02
09 UTC101626670.0NE-01
12 UTC101527610.0ENE-05
15 UTC101426660.0E-05
18 UTC101424750.0SE-04
21 UTC101523760.3SSW-04
Friday
00 UTC101523730.3WSW-05
03 UTC101522720.0WNW-05
06 UTC101523720.0WNW-03
09 UTC101525650.0NNE-03
12 UTC101525630.0NE-06
15 UTC101425650.0ENE-07
18 UTC101423710.0ENE-03
21 UTC101622760.0SW-02
Saturday
00 UTC101522730.0W-05
03 UTC101521770.0WNW-05
06 UTC101522760.0WNW-05
09 UTC101524660.0N-05
12 UTC101425620.0NNE-06
Sunday
00 UTC101421710.0W-04
12 UTC101225610.0NE-05
Monday
00 UTC101121730.0WSW-06
12 UTC101024610.0NE-06
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