Nautica Digitale La Consegna della Barca - Consigli per Venditore e Compratore
  Sponsor: BARTOLOMEO LA CAVA COMBUSTIBILI SRL 

LOCAL FORECASTS
 UPDATED: 2013/06/18 16:28:11 UTC

Silvi, Teramo (TE), Abruzzo, local weather forecasts, medium range weather forecast (5-days)

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 SILVI (TE)
Province Teramo  |  Region Abruzzo
Latitude 42.54N  |  Longitude 14.12E  |  Elevation 3 m
Area 20.7 kmq  |  Climatic zone C  |  Degrees/day 1278  |  Earthquake zone 3
Inhabitants 14983  |  Male 7413  |  Female 7570  |  Density 723.8
Code I741  |  Zip code 64028  |  Phone code 085  |  Istat code 067040

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Tuesday
15 UTC101526560.2E-04
18 UTC101522750.4SE-01
21 UTC101619810.1SSW-01
Wednesday
00 UTC101619800.2WSW-01
03 UTC101518820.0W-01
06 UTC101623710.0E-00
09 UTC101626600.2E-01
12 UTC101527602.9E-03
15 UTC101526603.6ENE-02
18 UTC101523745.1ESE-01
21 UTC101520770.1SW-02
Thursday
00 UTC101520770.1WSW-03
03 UTC101519780.0W-02
06 UTC101524700.0WNW-01
09 UTC101627580.0ENE-02
12 UTC101528530.0ENE-04
15 UTC101426601.3E-04
18 UTC101423751.6SE-02
21 UTC101521760.0SSW-04
Friday
00 UTC101520750.0WSW-05
03 UTC101419730.0W-04
06 UTC101522660.0W-03
09 UTC101526560.0NE-02
12 UTC101427550.0ENE-04
Saturday
00 UTC101419780.0W-05
12 UTC101124620.5NE-04
Sunday
00 UTC101018790.7WSW-05
12 UTC100924630.6E-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