

Variable high temperatures through the week, ranging from 56°F to 69°F. Mostly dry conditions with only one day showing rain chances.
This week's forecast shows temperatures running 7°F above the historical average for November. Normal highs for this period are around 56°F with lows around 36°F.
1966 - A storm brought 18 inches of snow to Celia KY in 24 hours. It tied the state 24 hour snowfall record first established at Bowling Green.
More on this and other weather history
Night: Mostly clear, with a low around 35. Southwest wind around 2 mph.
Day: Sunny. High near 60, with temperatures falling to around 54 in the afternoon. West southwest wind 2 to 10 mph.
Night: Partly cloudy, with a low around 36. South southwest wind 0 to 3 mph.
Day: Mostly sunny, with a high near 64. South southeast wind 1 to 9 mph.
Night: Partly cloudy, with a low around 48. South wind 7 to 10 mph.
Day: Sunny, with a high near 69. Southwest wind 7 to 13 mph.
Night: Mostly clear, with a low around 40. Northwest wind 2 to 6 mph.
Day: Sunny, with a high near 64. East wind 3 to 8 mph.
Night: A slight chance of rain showers after midnight. Partly cloudy, with a low around 48. South southeast wind 7 to 12 mph.
Day: Rain showers likely. Partly sunny, with a high near 68. Southwest wind 10 to 15 mph, with gusts as high as 21 mph.
Night: A slight chance of rain showers before midnight. Partly cloudy, with a low around 45. West wind 3 to 9 mph.
Day: Mostly sunny, with a high near 62. West southwest wind 5 to 9 mph.
Night: A chance of rain showers. Partly cloudy, with a low around 43. Southwest wind around 7 mph.
Day: Mostly sunny, with a high near 56. West northwest wind 7 to 12 mph.
Sun's High Temperature
98 at 6 Miles West-southwest Of Glamis, CA
Sun's Low Temperature
12 at Angel Fire, NM and Crested Butte, CO

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.