

High temperatures remain relatively stable through the week, ranging from 54°F to 61°F. Unsettled weather expected with rain likely on at least 4 days.
This week's forecast shows temperatures running 4°F below the historical average for October-November. Normal highs for this period are around 63°F with lows around 42°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 showers before 2pm. Mostly cloudy, with a high near 61. East wind around 10 mph. Chance of precipitation is 40%.
Night: Mostly cloudy, with a low around 50. East wind 2 to 7 mph.
Day: A chance of rain showers after 1pm. Cloudy, with a high near 61. East wind 3 to 8 mph. Chance of precipitation is 40%.
Night: Rain showers. Cloudy, with a low around 47. East wind 8 to 14 mph, with gusts as high as 22 mph. Chance of precipitation is 90%.
Day: Rain showers. Cloudy, with a high near 54. Chance of precipitation is 90%.
Night: Rain showers likely. Mostly cloudy, with a low around 41. Chance of precipitation is 70%.
Day: A slight chance of rain showers before 1pm. Mostly sunny, with a high near 57. Chance of precipitation is 20%.
Night: Partly cloudy, with a low around 38.
Day: Sunny, with a high near 60.
Night: Partly cloudy, with a low around 38.
Day: Mostly sunny, with a high near 58.
Night: Partly cloudy, with a low around 37.
Day: Mostly sunny, with a high near 61.
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.