

High temperatures remain relatively stable through the week, ranging from 33°F to 43°F. Unsettled weather expected with snow likely on at least 5 days.
This week's forecast shows temperatures running 7°F below the historical average for October-November. Normal highs for this period are around 46°F with lows around 28°F.
1929 - A snowstorm dumped 27 inches upon Ishpeming, MI, in 24 hours to establish a state record.
More on this and other weather history
Day: A chance of snow. Partly sunny, with a high near 33. West southwest wind 10 to 14 mph, with gusts as high as 24 mph. Chance of precipitation is 50%. New snow accumulation of less than half an inch possible.
Night: A slight chance of snow between 7pm and 9pm. Mostly cloudy, with a low around 24. Southwest wind 3 to 9 mph. Chance of precipitation is 20%.
Day: Mostly sunny, with a high near 38. South wind around 5 mph.
Night: A slight chance of snow after midnight. Mostly cloudy, with a low around 31. Southeast wind around 6 mph. Chance of precipitation is 20%.
Day: Snow likely before 3pm, then a chance of rain and snow. Mostly cloudy, with a high near 39. Chance of precipitation is 70%.
Night: A slight chance of rain and snow before midnight. Partly cloudy, with a low around 28.
Day: Partly sunny, with a high near 40.
Night: Partly cloudy, with a low around 29.
Day: A chance of snow between noon and 3pm, then a chance of rain. Mostly cloudy, with a high near 41.
Night: Rain likely. Mostly cloudy, with a low around 38.
Day: Rain. Mostly cloudy, with a high near 43.
Night: Rain before 2am, then rain and snow likely. Mostly cloudy, with a low around 36.
Day: A chance of rain and snow. Partly sunny, with a high near 39.
Sun's High Temperature
98 at Brownsville, TX and El Centro, CA
Sun's Low Temperature
16 at 5 Miles East Of Davis, WV

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.