Nautica Digitale PAN PAN - Medico a bordo, emergenze mediche e pronto soccorso in barca
  Sponsor: GLOBALCAR SERVICE - DIVISIONE NAUTICA 

LOCAL FORECASTS
 UPDATED: 2013/06/19 04:28:39 UTC

Ripalta Arpina, Cremona (CR), Lombardia, local weather forecasts, medium range weather forecast (5-days)

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 RIPALTA ARPINA (CR)
Province Cremona  |  Region Lombardia
Latitude 45.30N  |  Longitude 9.72E  |  Elevation 72 m
Area 6.9 kmq  |  Climatic zone E  |  Degrees/day 2474  |  Earthquake zone 4
Inhabitants 993  |  Male 486  |  Female 507  |  Density 143.9
Code H314  |  Zip code 26010  |  Phone code 0373  |  Istat code 019080

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Wednesday
03 UTC101917920.4N-00
06 UTC101922810.5NW-00
09 UTC101827630.2NNW-01
12 UTC101730510.2W-01
15 UTC101629520.1NW-00
18 UTC101626760.3NW-01
21 UTC101818860.0WNW-01
Thursday
00 UTC101818810.0WSW-03
03 UTC101717810.0W-03
06 UTC101721710.0WSW-02
09 UTC101626540.0W-02
12 UTC101530470.2SW-01
15 UTC101429460.1SW-02
18 UTC101424720.2W-02
21 UTC101518790.2SW-04
Friday
00 UTC101516790.9SW-03
03 UTC101414870.4SW-03
06 UTC101418760.5WSW-03
09 UTC101423520.0WSW-03
12 UTC101326450.0SW-02
15 UTC101326450.0SW-02
18 UTC101321680.0SW-02
21 UTC101514760.0SW-04
Saturday
00 UTC101513730.0WSW-03
12 UTC101325520.9W-02
Sunday
00 UTC101315860.1SW-02
12 UTC101027500.2S-00
Monday
00 UTC101114820.2SSW-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