High temperatures remain relatively stable through the week, ranging from 62°F to 74°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 5 F above the historical average for November. Normal highs for this period are around 65 F with lows around 41 F.
1987 - Twenty-one cities, mostly in the Ohio Valley, reported record high temperatures for the date. The afternoon high of 80 degrees at Columbus OH was their warmest reading of record for so late in the season. Showers and thundershowers associated with a tropical depression south of Florida produced 4.28 inches of rain at Clewiston in 24 hours.
More on this and other weather history
Day: Sunny. High near 62, with temperatures falling to around 57 in the afternoon. North wind around 5 mph.
Night: Mostly clear, with a low around 42. North wind 0 to 5 mph.
Day: Sunny. High near 70, with temperatures falling to around 64 in the afternoon. East wind 0 to 5 mph.
Night: Mostly clear, with a low around 44. Southeast wind around 0 mph.
Day: Sunny, with a high near 73.
Night: Mostly clear, with a low around 46.
Day: Sunny, with a high near 74.
Night: Mostly clear, with a low around 51.
Day: A slight chance of rain showers after noon. Mostly sunny, with a high near 73. Chance of precipitation is 20%.
Night: A chance of showers and thunderstorms. Partly cloudy, with a low around 54. Chance of precipitation is 30%.
Day: Mostly sunny, with a high near 71.
Night: A slight chance of rain showers after midnight. Mostly clear, with a low around 50. Chance of precipitation is 20%.
Day: Mostly sunny, with a high near 67.
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
Look for foam on the river before a rain.
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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.