

High temperatures remain relatively stable through the week, ranging from 55°F to 62°F. Unsettled weather expected with rain likely on at least 4 days.
This week's forecast shows temperatures running 3°F below the historical average for October-November. Normal highs for this period are around 62°F with lows around 40°F.
1764 - A "very remarkable storm of snow with high winds" produced 22 inches at Rutland in central Massachusetts.
More on this and other weather history
Day: A chance of rain showers before 2pm. Mostly cloudy, with a high near 62. East wind around 10 mph. Chance of precipitation is 30%.
Night: Mostly cloudy, with a low around 48. East wind 2 to 7 mph.
Day: A chance of rain showers after 1pm. Cloudy, with a high near 60. East wind 3 to 8 mph. Chance of precipitation is 40%.
Night: Rain showers. Cloudy, with a low around 46. East wind 7 to 13 mph. Chance of precipitation is 90%.
Day: Rain showers. Mostly cloudy, with a high near 55. Chance of precipitation is 90%.
Night: Rain showers likely. Mostly cloudy, with a low around 39. Chance of precipitation is 70%.
Day: A slight chance of rain showers. Mostly sunny, with a high near 58. Chance of precipitation is 20%.
Night: A slight chance of rain showers before 7pm. Partly cloudy, with a low around 37. Chance of precipitation is 20%.
Day: Sunny, with a high near 59.
Night: Partly cloudy, with a low around 37.
Day: Mostly sunny, with a high near 58.
Night: A slight chance of rain showers after 1am. Partly cloudy, with a low around 36. Chance of precipitation is 20%.
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

Pocahontas is a village in Burgess Township, Bond County, Illinois, United States. The population was 697 at the 2020 census.
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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.