Warming trend through the week with high temperatures climbing from 41°F to 54°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 below the historical average for November. Normal highs for this period are around 55°F with lows around 35°F.
1988 - Strong winds circulating around a deep low pressure system in southeastern Ontario buffeted the northeastern U.S., with the Lower Great Lakes Region hardest hit. Winds in western New York State gusted to 68 mph at Buffalo, to 69 mph at Niagra Falls, and to 78 mph at Brockport. Four persons were injured at Rome NY when a tree was blown onto their car.
More on this and other weather history
Day: A slight chance of snow showers between 7am and 1pm. Partly sunny, with a high near 41. West wind 15 to 25 mph, with gusts as high as 40 mph. Chance of precipitation is 20%.
Night: Mostly cloudy, with a low around 31. Southwest wind 10 to 20 mph.
Day: Partly sunny, with a high near 49. Southwest wind 10 to 15 mph, with gusts as high as 30 mph.
Night: Partly cloudy, with a low around 36. West wind 10 to 15 mph.
Day: Mostly sunny, with a high near 50.
Night: Mostly clear, with a low around 33.
Day: Mostly sunny, with a high near 51.
Night: Mostly clear, with a low around 30.
Day: Mostly sunny, with a high near 47.
Night: A slight chance of rain after 7pm. Mostly cloudy, with a low around 31.
Day: A slight chance of rain. Partly sunny, with a high near 54.
Night: A chance of rain. Mostly cloudy, with a low around 41. Chance of precipitation is 40%.
Day: A chance of rain. Partly sunny, with a high near 54.
Mon's High Temperature
100 at 2 Miles West Of Pala, CA
Mon's Low Temperature
3 at Pellston, MI
If the perfume of flowers is unusually perceptible, 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.