High temperatures remain relatively stable through the week, ranging from 59°F to 68°F. Unsettled weather expected with rain likely on at least 4 days.
This week's forecast shows temperatures running 6 F above the historical average for November. Normal highs for this period are around 57 F with lows around 38 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 10am. Partly sunny, with a high near 63. Northwest wind 2 to 6 mph. Chance of precipitation is 20%.
Night: Clear, with a low around 43. West wind around 8 mph, with gusts as high as 21 mph.
Day: Sunny, with a high near 61. West wind 7 to 10 mph, with gusts as high as 20 mph.
Night: Partly cloudy, with a low around 39. Southwest wind 1 to 5 mph.
Day: Mostly sunny, with a high near 68.
Night: Mostly clear, with a low around 45.
Day: Sunny, with a high near 60.
Night: Mostly clear, with a low around 39.
Day: Mostly sunny, with a high near 64.
Night: A chance of rain after 7pm. Mostly cloudy, with a low around 51. Chance of precipitation is 50%.
Day: A chance of rain before 7am. Mostly sunny, with a high near 64. Chance of precipitation is 40%.
Night: A slight chance of rain after 1am. Partly cloudy, with a low around 44.
Day: A chance of rain. Partly sunny, with a high near 59.
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
When fish break water and bite eagerly, expect 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.