High temperatures remain relatively stable through the week, ranging from 66°F to 71°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 6 F above the historical average for November. Normal highs for this period are around 63 F with lows around 39 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: A slight chance of rain before 8am. Mostly sunny, with a high near 66. Northwest wind around 7 mph. Chance of precipitation is 20%.
Night: Clear, with a low around 39. Northwest wind around 5 mph.
Day: Patchy frost between 7am and 8am. Sunny. High near 67, with temperatures falling to around 60 in the afternoon. Northwest wind 1 to 6 mph.
Night: Clear, with a low around 39. West wind around 1 mph.
Day: Sunny, with a high near 71. Southwest wind 1 to 12 mph, with gusts as high as 21 mph.
Night: Mostly clear, with a low around 47.
Day: Sunny, with a high near 69.
Night: Mostly clear, with a low around 44.
Day: Mostly sunny, with a high near 71.
Night: A slight chance of rain after 1am. Partly cloudy, with a low around 53.
Day: A slight chance of rain before 7am. Sunny, with a high near 71.
Night: Mostly clear, with a low around 47.
Day: Mostly sunny, with a high near 68.
Night: Partly cloudy, with a low around 40.
Sun's High Temperature
98 at 6 Miles West-southwest Of Glamis, CA
Mon's Low Temperature
14 at 18 Miles West-southwest Of Dillon, MT
Clear moon, frost soon.
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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.