

High temperatures dip from 49°F to a low of 40°F mid-week, then warm to 62°F. Mostly dry conditions with only one day showing snow chances.
Temperatures are expected to be near normal for this time of year, with highs around 52°F and lows around 27°F.
1987 - Showers and thunderstorms produced locally heavy rain from Virginia to New York State. Fallen leaves made roads and sidewalks slick, and also clogged sewers. Rainfall totals of 1.55 inches at Newark NJ, 1.54 inches at Harrisburg PA, 1.27 inches at Scranton PA, and 1.22 inches at Atlantic City NJ, were records for the date.
More on this and other weather history
Day: A chance of rain before 8am, then a chance of rain and snow. Mostly sunny. High near 49, with temperatures falling to around 43 in the afternoon. West southwest wind 20 to 29 mph, with gusts as high as 43 mph. Chance of precipitation is 50%.
Night: Snow likely before midnight. Mostly cloudy, with a low around 26. West northwest wind 5 to 16 mph, with gusts as high as 28 mph. Chance of precipitation is 60%. New snow accumulation of less than half an inch possible.
Day: Sunny, with a high near 40. West northwest wind 5 to 10 mph.
Night: Mostly clear, with a low around 22. Southwest wind 2 to 7 mph.
Day: Sunny, with a high near 55. South southwest wind 7 to 12 mph, with gusts as high as 25 mph.
Night: Mostly clear, with a low around 26. Southeast wind 0 to 7 mph.
Day: Mostly sunny, with a high near 51.
Night: Mostly cloudy, with a low around 27.
Day: Mostly sunny, with a high near 52.
Night: Partly cloudy, with a low around 34.
Day: Partly sunny, with a high near 61.
Night: Partly cloudy, with a low around 39.
Day: Mostly sunny, with a high near 62.
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.