High temperatures remain relatively stable through the week, ranging from 65°F to 70°F. Some rain possible with at least 3 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 7 F above the historical average for November. Normal highs for this period are around 61 F with lows around 37 F.
1987 - A dozen cities, mostly in the Ohio Valley, reported record high temperatures for the date. Record highs included 83 degrees at Paducah KY and 84 degrees at Memphis TN. Temperatures reached 70 degrees as far north as southern Lower Michigan. Showers and thundershowers over southern Florida, associated with a tropical depression, produced 4.77 inches of rain at Tavernier, located in the Upper Florida Keys.
More on this and other weather history
Day: Mostly sunny, with a high near 66. Northwest wind 3 to 8 mph. New rainfall amounts less than a tenth of an inch possible.
Night: Patchy frost after 5am. Clear, with a low around 37. Northwest wind 2 to 6 mph.
Day: Patchy frost before 8am. Sunny, with a high near 65. Northwest wind 2 to 6 mph.
Night: Clear, with a low around 38. Southwest wind around 2 mph.
Day: Sunny, with a high near 70.
Night: Mostly clear, with a low around 45.
Day: Sunny, with a high near 69.
Night: Mostly clear, with a low around 43.
Day: Mostly sunny, with a high near 69.
Night: A chance of rain after 7pm. Partly cloudy, with a low around 51. Chance of precipitation is 30%.
Day: A chance of rain before 7am. Mostly sunny, with a high near 70. Chance of precipitation is 30%.
Night: Partly cloudy, with a low around 46.
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
Cockroaches are more active before a storm.
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.