Nautica Digitale Olympic - Sochi 2014
  Sponsor: NAUTICA GLEM 

LOCAL FORECASTS
 UPDATED: 2014/04/18 22:08:50 UTC

Mondovi', Cuneo (CN), Piemonte, local weather forecasts, medium range weather forecast (5-days)

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 MONDOVI' (CN)
Province Cuneo  |  Region Piemonte
Latitude 44.39N  |  Longitude 7.82E  |  Elevation 395 m
Area 87.3 kmq  |  Climatic zone E  |  Degrees/day 2640  |  Earthquake zone 4
Inhabitants 21969  |  Male 10621  |  Female 11348  |  Density 251.6
Code F351  |  Zip code 12084  |  Phone code 0174  |  Istat code 004130

OTHER LOCATIONS    HOTEL RESERVATION
FORECAST Pressure
hPa
Temperature
°C
Humidity
%
Precipitation
mm
Wind
knots
Friday
21 UTC100411850.9SE-03
Saturday
00 UTC100310894.8ENE-07
03 UTC100288710.1NE-12
06 UTC100468518.9N-11
09 UTC10056822.5N-10
12 UTC10067824.3N-10
15 UTC10078791.0N-10
18 UTC10088831.5N-08
21 UTC10098820.1NW-07
Sunday
00 UTC10098770.2NNW-05
03 UTC10078750.0NW-04
06 UTC10078760.0NNW-02
09 UTC100710740.0E-01
12 UTC100711760.5ESE-03
15 UTC100611790.5ESE-03
18 UTC100611840.7E-02
21 UTC100810860.1ENE-03
Monday
00 UTC10089890.2NE-04
03 UTC10089930.2NE-04
06 UTC10079940.9NE-04
09 UTC100810870.5NE-03
12 UTC100812780.9E-03
15 UTC100713790.4SE-03
18 UTC100812850.6SSE-01
Tuesday
06 UTC101110880.1N-05
18 UTC101015720.7ENE-01
Wednesday
06 UTC101013660.0NNW-06
18 UTC100817611.1WSW-04
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