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This week's forecast shows temperatures running 2°F below the historical average for October-November. Normal highs for this period are around 60°F with lows around 35°F.
1965 - Fort Lauderdale, FL, was deluged with 13.81 inches of rain, which brought their rainfall total for the month of October to an all-time record of 42.43 inches.
More on this and other weather history
 
Day: Partly sunny, with a high near 54. West wind 10 to 15 mph, with gusts as high as 26 mph.
 
Night: Mostly cloudy, with a low around 37. Southwest wind 3 to 10 mph, with gusts as high as 21 mph.
 
Day: Partly sunny, with a high near 58. Southwest wind 3 to 8 mph.
 
Night: A chance of rain after 8pm. Mostly cloudy, with a low around 40. Southwest wind 1 to 5 mph. Chance of precipitation is 40%.
 
Day: A chance of rain. Mostly cloudy, with a high near 57. Southeast wind around 3 mph. Chance of precipitation is 40%.
 
Night: A slight chance of rain before 7pm. Partly cloudy, with a low around 37. Chance of precipitation is 20%.
 
Day: Mostly sunny, with a high near 58.
 
Night: Partly cloudy, with a low around 35.
 
Day: Sunny, with a high near 58.
 
Night: Partly cloudy, with a low around 36.
 
Day: Mostly sunny, with a high near 65.
 
Night: A slight chance of rain showers after 7pm. Partly cloudy, with a low around 45.
 
Day: A slight chance of rain showers before 7am. Mostly sunny, with a high near 59.
 
Night: Mostly clear, with a low around 34.
 
   
Thu's High Temperature
98 at 2 Miles West Of Pala, CA and 6 Miles West-southwest Of Glamis, CA
Fri's Low Temperature
4 at Peter Sinks, UT

Pigeon is an unincorporated community in Roane County, West Virginia, United States. Pigeon is 8 miles (13 km) northeast of Clendenin.
The community was named after nearby Pigeon Run.
Content from Wikipedia, licensed under CC BY-SA 3.0.
Current conditions: We use the nearest available station to your location - including professional MESONET/MADIS and local weather stations - often miles closer than regional airports.
Forecasts: National Weather Service point forecasts predict for your specific area, not broad regional zones, making them far more relevant to your location.