

High temperatures remain relatively stable through the week, ranging from 54°F to 59°F. Unsettled weather expected with rain likely on at least 4 days.
This week's forecast shows temperatures running 6°F below the historical average for October-November. Normal highs for this period are around 62°F with lows around 38°F.
1859 - New York City had their earliest substantial snow of record as four inches blanketed the city.
More on this and other weather history
Day: Mostly sunny, with a high near 58. East wind around 5 mph.
Night: Partly cloudy, with a low around 35. Northeast wind around 3 mph.
Day: Mostly sunny, with a high near 59. Northeast wind 2 to 8 mph.
Night: Mostly cloudy, with a low around 34. Northeast wind 3 to 7 mph.
Day: A slight chance of rain showers after 2pm. Partly sunny, with a high near 55. Northeast wind 6 to 10 mph. Chance of precipitation is 20%.
Night: A chance of rain showers. Mostly cloudy, with a low around 38. Chance of precipitation is 30%.
Day: A chance of rain showers. Partly sunny, with a high near 54. Chance of precipitation is 40%.
Night: Rain showers likely. Mostly cloudy, with a low around 44. Chance of precipitation is 70%.
Day: Rain showers. Mostly cloudy, with a high near 55. Chance of precipitation is 80%.
Night: Rain showers. Mostly cloudy, with a low around 41. Chance of precipitation is 80%.
Day: A chance of rain showers. Partly sunny, with a high near 54. Chance of precipitation is 50%.
Night: A chance of rain showers before 2am. Partly cloudy, with a low around 40. Chance of precipitation is 30%.
Day: Mostly sunny, with a high near 57.
Night: Partly cloudy, with a low around 37.
Sat's High Temperature
98 at 7 Miles East-southeast Of Hidalgo, TX and 16 Miles Southwest Of Tecopa, 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.