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

LOCAL FORECASTS
 UPDATED: 2013/05/21 10:28:14 UTC

Paganico Sabino, Rieti (RI), Lazio, local weather forecasts, medium range weather forecast (5-days)

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 PAGANICO SABINO (RI)
Province Rieti  |  Region Lazio
Latitude 42.19N  |  Longitude 12.99E  |  Elevation 720 m
Area 9.2 kmq  |  Climatic zone E  |  Degrees/day 2675  |  Earthquake zone 2
Inhabitants 194  |  Male 96  |  Female 98  |  Density 21.1
Code G232  |  Zip code 02020  |  Phone code 0765  |  Istat code 057048

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Tuesday
09 UTC101615530.0SW-04
12 UTC101416590.8SW-05
15 UTC101315651.7WSW-02
18 UTC101214732.9ENE-01
21 UTC101213710.6ESE-05
Wednesday
00 UTC101012690.7SE-05
03 UTC100812690.0ESE-04
06 UTC100713690.0E-03
09 UTC100616680.1E-03
12 UTC100319600.2ENE-04
15 UTC100119630.4NNE-06
18 UTC99916770.7NE-07
21 UTC99912882.8NE-06
Thursday
00 UTC99812883.8NE-04
03 UTC99711900.9NNE-04
06 UTC99912892.6NNE-05
09 UTC100114730.3N-05
12 UTC100215640.7NNW-09
15 UTC100315590.2NW-09
18 UTC100413680.3NW-06
21 UTC100611770.0WSW-03
Friday
00 UTC100610840.0S-04
03 UTC10069900.0S-07
06 UTC100711840.0SSW-08
18 UTC101110872.0SW-07
Saturday
06 UTC10119790.1SSW-07
18 UTC101010760.5SW-10
Sunday
06 UTC10128751.4WSW-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