High temperatures climb from 30°F to a high of 56°F by week's end. Some precipitation possible, including both rain and snow.
This week's forecast shows temperatures running 2°F above the historical average for November. Normal highs for this period are around 42°F with lows around 25°F.
1926 - A tornado in Charles County of southern Maryland killed seventeen persons.
More on this and other weather history
Day: A chance of snow showers. Mostly cloudy. High near 30, with temperatures falling to around 26 in the afternoon. North northwest wind around 13 mph, with gusts as high as 23 mph. Chance of precipitation is 30%.
Night: A slight chance of snow showers before 7pm. Partly cloudy, with a low around 18. North northwest wind around 10 mph, with gusts as high as 21 mph. Chance of precipitation is 20%.
Day: Mostly sunny. High near 36, with temperatures falling to around 29 in the afternoon. Northwest wind 9 to 14 mph, with gusts as high as 22 mph.
Night: Mostly cloudy, with a low around 19. West southwest wind 5 to 9 mph.
Day: Partly sunny, with a high near 43. Southwest wind 10 to 14 mph, with gusts as high as 23 mph.
Night: Mostly cloudy, with a low around 31.
Day: Mostly sunny, with a high near 45.
Night: Partly cloudy, with a low around 26.
Day: Mostly sunny, with a high near 50.
Night: Partly cloudy, with a low around 28.
Day: Mostly sunny, with a high near 50.
Night: Mostly cloudy, with a low around 37.
Day: A chance of rain after noon. Mostly cloudy, with a high near 56. Chance of precipitation is 30%.
Night: A chance of rain. Mostly cloudy, with a low around 37. Chance of precipitation is 40%.
Sat's High Temperature
99 at 2 Miles North-northeast Of Lapuerta, TX
Sun's Low Temperature
-4 at Tioga, ND
Clouds upon the hills, if rising, do not bring rain; if falling, rain follows.
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.